======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1] At the end mAP 0.0:.4 CMC: 1: 0.0 2: 0.0 3: 0.0 4: 0.0 5: 0.0 6: 0.0 7: 0.0 8: 0.0 9: 0.0 10: 0.0 11: 0.0 12: 0.0 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.0:.4 CMC: 1: 0.0 2: 0.0 3: 0.0 4: 0.0 5: 0.0 6: 0.0 7: 0.0 8: 0.0 9: 0.0 10: 0.0 11: 0.0 12: 0.0 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.1111111111111111:.4 CMC: 1: 0.3333 2: 0.3333 3: 0.3333 4: 0.3333 5: 0.3333 6: 0.3333 7: 0.3333 8: 0.3333 9: 0.3333 10: 0.3333 11: 0.3333 12: 0.3333 13: 1.0 ======================================== annot_ranks [0, 16] num_for_qnid 3 name_ranks [0] precisions [1.0, 0.11764705882352941] max_possible 3 AP 0.3725 nr: adding to 0 name_rank_counts [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.1764705882352941:.4 CMC: 1: 0.5 2: 0.5 3: 0.5 4: 0.5 5: 0.5 6: 0.5 7: 0.5 8: 0.5 9: 0.5 10: 0.5 11: 0.5 12: 0.5 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.1764705882352941:.4 CMC: 1: 0.5 2: 0.5 3: 0.5 4: 0.5 5: 0.5 6: 0.5 7: 0.5 8: 0.5 9: 0.5 10: 0.5 11: 0.5 12: 0.5 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 7 AP 0.4286 nr: adding to 0 name_rank_counts [3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.226890756302521:.4 CMC: 1: 0.6 2: 0.6 3: 0.6 4: 0.6 5: 0.6 6: 0.6 7: 0.6 8: 0.6 9: 0.6 10: 0.6 11: 0.6 12: 0.6 13: 1.0 ======================================== annot_ranks [0, 1, 36] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 0.08108108108108109] max_possible 7 AP 0.2973 nr: adding to 0 name_rank_counts [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.2386251798016504:.4 CMC: 1: 0.6667 2: 0.6667 3: 0.6667 4: 0.6667 5: 0.6667 6: 0.6667 7: 0.6667 8: 0.6667 9: 0.6667 10: 0.6667 11: 0.6667 12: 0.6667 13: 1.0 ======================================== annot_ranks [0, 1, 2, 34] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.11428571428571428] max_possible 7 AP 0.4449 nr: adding to 0 name_rank_counts [5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.26809271971336796:.4 CMC: 1: 0.7143 2: 0.7143 3: 0.7143 4: 0.7143 5: 0.7143 6: 0.7143 7: 0.7143 8: 0.7143 9: 0.7143 10: 0.7143 11: 0.7143 12: 0.7143 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 7 AP 0.4286 nr: adding to 0 name_rank_counts [6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.2881525583206256:.4 CMC: 1: 0.75 2: 0.75 3: 0.75 4: 0.75 5: 0.75 6: 0.75 7: 0.75 8: 0.75 9: 0.75 10: 0.75 11: 0.75 12: 0.75 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.2881525583206256:.4 CMC: 1: 0.75 2: 0.75 3: 0.75 4: 0.75 5: 0.75 6: 0.75 7: 0.75 8: 0.75 9: 0.75 10: 0.75 11: 0.75 12: 0.75 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 7 AP 0.4286 nr: adding to 0 name_rank_counts [7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.30375465501515925:.4 CMC: 1: 0.7778 2: 0.7778 3: 0.7778 4: 0.7778 5: 0.7778 6: 0.7778 7: 0.7778 8: 0.7778 9: 0.7778 10: 0.7778 11: 0.7778 12: 0.7778 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0] max_possible 7 AP 0.2857 nr: adding to 0 name_rank_counts [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] At the end mAP 0.30195061808507184:.4 CMC: 1: 0.8 2: 0.8 3: 0.8 4: 0.8 5: 0.8 6: 0.8 7: 0.8 8: 0.8 9: 0.8 10: 0.8 11: 0.8 12: 0.8 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3] At the end mAP 0.27450056189551986:.4 CMC: 1: 0.7273 2: 0.7273 3: 0.7273 4: 0.7273 5: 0.7273 6: 0.7273 7: 0.7273 8: 0.7273 9: 0.7273 10: 0.7273 11: 0.7273 12: 0.7273 13: 1.0 ======================================== annot_ranks [91] num_for_qnid 1 name_ranks [34] precisions [0.010869565217391304] max_possible 1 AP 0.01087 nr: adding to MAX_RANK name_rank_counts [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4] At the end mAP 0.2525313121723425:.4 CMC: 1: 0.6667 2: 0.6667 3: 0.6667 4: 0.6667 5: 0.6667 6: 0.6667 7: 0.6667 8: 0.6667 9: 0.6667 10: 0.6667 11: 0.6667 12: 0.6667 13: 1.0 ======================================== annot_ranks [69] num_for_qnid 1 name_ranks [29] precisions [0.014285714285714285] max_possible 1 AP 0.01429 nr: adding to MAX_RANK name_rank_counts [8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5] At the end mAP 0.2342047277195249:.4 CMC: 1: 0.6154 2: 0.6154 3: 0.6154 4: 0.6154 5: 0.6154 6: 0.6154 7: 0.6154 8: 0.6154 9: 0.6154 10: 0.6154 11: 0.6154 12: 0.6154 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 4 name_ranks [0] precisions [1.0, 1.0] max_possible 4 AP 0.5 nr: adding to 0 name_rank_counts [9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5] At the end mAP 0.25319010431098743:.4 CMC: 1: 0.6429 2: 0.6429 3: 0.6429 4: 0.6429 5: 0.6429 6: 0.6429 7: 0.6429 8: 0.6429 9: 0.6429 10: 0.6429 11: 0.6429 12: 0.6429 13: 1.0 ======================================== annot_ranks [73] num_for_qnid 1 name_ranks [34] precisions [0.013513513513513514] max_possible 1 AP 0.01351 nr: adding to MAX_RANK name_rank_counts [9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6] At the end mAP 0.23721166492448917:.4 CMC: 1: 0.6 2: 0.6 3: 0.6 4: 0.6 5: 0.6 6: 0.6 7: 0.6 8: 0.6 9: 0.6 10: 0.6 11: 0.6 12: 0.6 13: 1.0 ======================================== annot_ranks [97] num_for_qnid 1 name_ranks [36] precisions [0.01020408163265306] max_possible 1 AP 0.0102 nr: adding to MAX_RANK name_rank_counts [9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7] At the end mAP 0.2230236909687494:.4 CMC: 1: 0.5625 2: 0.5625 3: 0.5625 4: 0.5625 5: 0.5625 6: 0.5625 7: 0.5625 8: 0.5625 9: 0.5625 10: 0.5625 11: 0.5625 12: 0.5625 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8] At the end mAP 0.20990465032352887:.4 CMC: 1: 0.5294 2: 0.5294 3: 0.5294 4: 0.5294 5: 0.5294 6: 0.5294 7: 0.5294 8: 0.5294 9: 0.5294 10: 0.5294 11: 0.5294 12: 0.5294 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 4 name_ranks [0] precisions [1.0, 1.0] max_possible 4 AP 0.5 nr: adding to 0 name_rank_counts [10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8] At the end mAP 0.22602105863888836:.4 CMC: 1: 0.5556 2: 0.5556 3: 0.5556 4: 0.5556 5: 0.5556 6: 0.5556 7: 0.5556 8: 0.5556 9: 0.5556 10: 0.5556 11: 0.5556 12: 0.5556 13: 1.0 ======================================== annot_ranks [0, 36] num_for_qnid 4 name_ranks [0] precisions [1.0, 0.05405405405405406] max_possible 4 AP 0.2635 nr: adding to 0 name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8] At the end mAP 0.22799434573755284:.4 CMC: 1: 0.5789 2: 0.5789 3: 0.5789 4: 0.5789 5: 0.5789 6: 0.5789 7: 0.5789 8: 0.5789 9: 0.5789 10: 0.5789 11: 0.5789 12: 0.5789 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.22799434573755284:.4 CMC: 1: 0.5789 2: 0.5789 3: 0.5789 4: 0.5789 5: 0.5789 6: 0.5789 7: 0.5789 8: 0.5789 9: 0.5789 10: 0.5789 11: 0.5789 12: 0.5789 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.22799434573755284:.4 CMC: 1: 0.5789 2: 0.5789 3: 0.5789 4: 0.5789 5: 0.5789 6: 0.5789 7: 0.5789 8: 0.5789 9: 0.5789 10: 0.5789 11: 0.5789 12: 0.5789 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.22799434573755284:.4 CMC: 1: 0.5789 2: 0.5789 3: 0.5789 4: 0.5789 5: 0.5789 6: 0.5789 7: 0.5789 8: 0.5789 9: 0.5789 10: 0.5789 11: 0.5789 12: 0.5789 13: 1.0 ======================================== annot_ranks [45] num_for_qnid 1 name_ranks [24] precisions [0.021739130434782608] max_possible 1 AP 0.02174 nr: adding to MAX_RANK name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9] At the end mAP 0.2176815849724143:.4 CMC: 1: 0.55 2: 0.55 3: 0.55 4: 0.55 5: 0.55 6: 0.55 7: 0.55 8: 0.55 9: 0.55 10: 0.55 11: 0.55 12: 0.55 13: 1.0 ======================================== annot_ranks [17] num_for_qnid 1 name_ranks [13] precisions [0.05555555555555555] max_possible 1 AP 0.05556 nr: adding to MAX_RANK name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10] At the end mAP 0.20996129785732578:.4 CMC: 1: 0.5238 2: 0.5238 3: 0.5238 4: 0.5238 5: 0.5238 6: 0.5238 7: 0.5238 8: 0.5238 9: 0.5238 10: 0.5238 11: 0.5238 12: 0.5238 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11] At the end mAP 0.2004176025001746:.4 CMC: 1: 0.5 2: 0.5 3: 0.5 4: 0.5 5: 0.5 6: 0.5 7: 0.5 8: 0.5 9: 0.5 10: 0.5 11: 0.5 12: 0.5 13: 1.0 ======================================== annot_ranks [56] num_for_qnid 1 name_ranks [31] precisions [0.017543859649122806] max_possible 1 AP 0.01754 nr: adding to MAX_RANK name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12] At the end mAP 0.19246657020230276:.4 CMC: 1: 0.4783 2: 0.4783 3: 0.4783 4: 0.4783 5: 0.4783 6: 0.4783 7: 0.4783 8: 0.4783 9: 0.4783 10: 0.4783 11: 0.4783 12: 0.4783 13: 1.0 ======================================== annot_ranks [51] num_for_qnid 1 name_ranks [26] precisions [0.019230769230769232] max_possible 1 AP 0.01923 nr: adding to MAX_RANK name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13] At the end mAP 0.18524841182848895:.4 CMC: 1: 0.4583 2: 0.4583 3: 0.4583 4: 0.4583 5: 0.4583 6: 0.4583 7: 0.4583 8: 0.4583 9: 0.4583 10: 0.4583 11: 0.4583 12: 0.4583 13: 1.0 ======================================== annot_ranks [46] num_for_qnid 1 name_ranks [23] precisions [0.02127659574468085] max_possible 1 AP 0.02128 nr: adding to MAX_RANK name_rank_counts [11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.1786895391851366:.4 CMC: 1: 0.44 2: 0.44 3: 0.44 4: 0.44 5: 0.44 6: 0.44 7: 0.44 8: 0.44 9: 0.44 10: 0.44 11: 0.44 12: 0.44 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 7 name_ranks [0] precisions [1.0] max_possible 7 AP 0.1429 nr: adding to 0 name_rank_counts [12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.17731137009559841:.4 CMC: 1: 0.4615 2: 0.4615 3: 0.4615 4: 0.4615 5: 0.4615 6: 0.4615 7: 0.4615 8: 0.4615 9: 0.4615 10: 0.4615 11: 0.4615 12: 0.4615 13: 1.0 ======================================== annot_ranks [0, 1, 2, 19] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.2] max_possible 7 AP 0.4571 nr: adding to 0 name_rank_counts [13, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.18767549924549687:.4 CMC: 1: 0.4815 2: 0.4815 3: 0.4815 4: 0.4815 5: 0.4815 6: 0.4815 7: 0.4815 8: 0.4815 9: 0.4815 10: 0.4815 11: 0.4815 12: 0.4815 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 4 name_ranks [0] precisions [1.0] max_possible 4 AP 0.25 nr: adding to 0 name_rank_counts [14, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.1899013742724434:.4 CMC: 1: 0.5 2: 0.5 3: 0.5 4: 0.5 5: 0.5 6: 0.5 7: 0.5 8: 0.5 9: 0.5 10: 0.5 11: 0.5 12: 0.5 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 4 name_ranks [0] precisions [1.0, 1.0] max_possible 4 AP 0.5 nr: adding to 0 name_rank_counts [15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.20059443033201435:.4 CMC: 1: 0.5172 2: 0.5172 3: 0.5172 4: 0.5172 5: 0.5172 6: 0.5172 7: 0.5172 8: 0.5172 9: 0.5172 10: 0.5172 11: 0.5172 12: 0.5172 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.20501906043205828:.4 CMC: 1: 0.5333 2: 0.5333 3: 0.5333 4: 0.5333 5: 0.5333 6: 0.5333 7: 0.5333 8: 0.5333 9: 0.5333 10: 0.5333 11: 0.5333 12: 0.5333 13: 1.0 ======================================== annot_ranks [0, 59] num_for_qnid 3 name_ranks [0] precisions [1.0, 0.03333333333333333] max_possible 3 AP 0.3444 nr: adding to 0 name_rank_counts [17, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.2095166534647159:.4 CMC: 1: 0.5484 2: 0.5484 3: 0.5484 4: 0.5484 5: 0.5484 6: 0.5484 7: 0.5484 8: 0.5484 9: 0.5484 10: 0.5484 11: 0.5484 12: 0.5484 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.21599009137727687:.4 CMC: 1: 0.5625 2: 0.5625 3: 0.5625 4: 0.5625 5: 0.5625 6: 0.5625 7: 0.5625 8: 0.5625 9: 0.5625 10: 0.5625 11: 0.5625 12: 0.5625 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [19, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.21702069466887455:.4 CMC: 1: 0.5758 2: 0.5758 3: 0.5758 4: 0.5758 5: 0.5758 6: 0.5758 7: 0.5758 8: 0.5758 9: 0.5758 10: 0.5758 11: 0.5758 12: 0.5758 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.22044165462959392:.4 CMC: 1: 0.5882 2: 0.5882 3: 0.5882 4: 0.5882 5: 0.5882 6: 0.5882 7: 0.5882 8: 0.5882 9: 0.5882 10: 0.5882 11: 0.5882 12: 0.5882 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [21, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.22128617878303408:.4 CMC: 1: 0.6 2: 0.6 3: 0.6 4: 0.6 5: 0.6 6: 0.6 7: 0.6 8: 0.6 9: 0.6 10: 0.6 11: 0.6 12: 0.6 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [22, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.2243985997427646:.4 CMC: 1: 0.6111 2: 0.6111 3: 0.6111 4: 0.6111 5: 0.6111 6: 0.6111 7: 0.6111 8: 0.6111 9: 0.6111 10: 0.6111 11: 0.6111 12: 0.6111 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 12, 16, 21, 26] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5384615384615384, 0.47058823529411764, 0.4090909090909091, 0.37037037037037035] max_possible 12 AP 0.649 nr: adding to 0 name_rank_counts [23, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.23587546428398928:.4 CMC: 1: 0.6216 2: 0.6216 3: 0.6216 4: 0.6216 5: 0.6216 6: 0.6216 7: 0.6216 8: 0.6216 9: 0.6216 10: 0.6216 11: 0.6216 12: 0.6216 13: 1.0 ======================================== annot_ranks [0, 3, 13] num_for_qnid 111 name_ranks [0] precisions [1.0, 0.5, 0.21428571428571427] max_possible 12 AP 0.1429 nr: adding to 0 name_rank_counts [24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.23342761372012488:.4 CMC: 1: 0.6316 2: 0.6316 3: 0.6316 4: 0.6316 5: 0.6316 6: 0.6316 7: 0.6316 8: 0.6316 9: 0.6316 10: 0.6316 11: 0.6316 12: 0.6316 13: 1.0 ======================================== annot_ranks [0, 1, 4, 5, 12] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 0.6, 0.6666666666666666, 0.38461538461538464] max_possible 12 AP 0.3043 nr: adding to 0 name_rank_counts [25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.2352441750163654:.4 CMC: 1: 0.641 2: 0.641 3: 0.641 4: 0.641 5: 0.641 6: 0.641 7: 0.641 8: 0.641 9: 0.641 10: 0.641 11: 0.641 12: 0.641 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 18, 21, 22, 24, 27, 28, 36, 37, 38] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [26, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.25436307064095626:.4 CMC: 1: 0.65 2: 0.65 3: 0.65 4: 0.65 5: 0.65 6: 0.65 7: 0.65 8: 0.65 9: 0.65 10: 0.65 11: 0.65 12: 0.65 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [27, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.272549337210689:.4 CMC: 1: 0.6585 2: 0.6585 3: 0.6585 4: 0.6585 5: 0.6585 6: 0.6585 7: 0.6585 8: 0.6585 9: 0.6585 10: 0.6585 11: 0.6585 12: 0.6585 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 16, 20, 21, 27, 36, 37, 38] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.289869591086625:.4 CMC: 1: 0.6667 2: 0.6667 3: 0.6667 4: 0.6667 5: 0.6667 6: 0.6667 7: 0.6667 8: 0.6667 9: 0.6667 10: 0.6667 11: 0.6667 12: 0.6667 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 30, 32] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [29, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.3063842517590291:.4 CMC: 1: 0.6744 2: 0.6744 3: 0.6744 4: 0.6744 5: 0.6744 6: 0.6744 7: 0.6744 8: 0.6744 9: 0.6744 10: 0.6744 11: 0.6744 12: 0.6744 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 8, 11, 12, 16, 17, 18, 19] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7777777777777778, 0.6666666666666666, 0.6923076923076923, 0.5882352941176471, 0.6111111111111112, 0.631578947368421] max_possible 12 AP 0.8306 nr: adding to 0 name_rank_counts [30, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.31829915037312184:.4 CMC: 1: 0.6818 2: 0.6818 3: 0.6818 4: 0.6818 5: 0.6818 6: 0.6818 7: 0.6818 8: 0.6818 9: 0.6818 10: 0.6818 11: 0.6818 12: 0.6818 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 30, 31] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [31, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.33344805814260803:.4 CMC: 1: 0.6889 2: 0.6889 3: 0.6889 4: 0.6889 5: 0.6889 6: 0.6889 7: 0.6889 8: 0.6889 9: 0.6889 10: 0.6889 11: 0.6889 12: 0.6889 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 20, 23] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.34793831774820344:.4 CMC: 1: 0.6957 2: 0.6957 3: 0.6957 4: 0.6957 5: 0.6957 6: 0.6957 7: 0.6957 8: 0.6957 9: 0.6957 10: 0.6957 11: 0.6957 12: 0.6957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 23] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [33, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.3618119705620714:.4 CMC: 1: 0.7021 2: 0.7021 3: 0.7021 4: 0.7021 5: 0.7021 6: 0.7021 7: 0.7021 8: 0.7021 9: 0.7021 10: 0.7021 11: 0.7021 12: 0.7021 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 17, 19] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [34, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.37510755450869504:.4 CMC: 1: 0.7083 2: 0.7083 3: 0.7083 4: 0.7083 5: 0.7083 6: 0.7083 7: 0.7083 8: 0.7083 9: 0.7083 10: 0.7083 11: 0.7083 12: 0.7083 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 20] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [35, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.387860461559538:.4 CMC: 1: 0.7143 2: 0.7143 3: 0.7143 4: 0.7143 5: 0.7143 6: 0.7143 7: 0.7143 8: 0.7143 9: 0.7143 10: 0.7143 11: 0.7143 12: 0.7143 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.40010325232834726:.4 CMC: 1: 0.72 2: 0.72 3: 0.72 4: 0.72 5: 0.72 6: 0.72 7: 0.72 8: 0.72 9: 0.72 10: 0.72 11: 0.72 12: 0.72 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [37, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.4118659336552424:.4 CMC: 1: 0.7255 2: 0.7255 3: 0.7255 4: 0.7255 5: 0.7255 6: 0.7255 7: 0.7255 8: 0.7255 9: 0.7255 10: 0.7255 11: 0.7255 12: 0.7255 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 25] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [38, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.42317620416187235:.4 CMC: 1: 0.7308 2: 0.7308 3: 0.7308 4: 0.7308 5: 0.7308 6: 0.7308 7: 0.7308 8: 0.7308 9: 0.7308 10: 0.7308 11: 0.7308 12: 0.7308 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [39, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.43405967200787476:.4 CMC: 1: 0.7358 2: 0.7358 3: 0.7358 4: 0.7358 5: 0.7358 6: 0.7358 7: 0.7358 8: 0.7358 9: 0.7358 10: 0.7358 11: 0.7358 12: 0.7358 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.4445400484521734:.4 CMC: 1: 0.7407 2: 0.7407 3: 0.7407 4: 0.7407 5: 0.7407 6: 0.7407 7: 0.7407 8: 0.7407 9: 0.7407 10: 0.7407 11: 0.7407 12: 0.7407 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [41, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.45463932029849746:.4 CMC: 1: 0.7455 2: 0.7455 3: 0.7455 4: 0.7455 5: 0.7455 6: 0.7455 7: 0.7455 8: 0.7455 9: 0.7455 10: 0.7455 11: 0.7455 12: 0.7455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [42, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.46437790386459576:.4 CMC: 1: 0.75 2: 0.75 3: 0.75 4: 0.75 5: 0.75 6: 0.75 7: 0.75 8: 0.75 9: 0.75 10: 0.75 11: 0.75 12: 0.75 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 17, 18, 21, 27, 30] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [43, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.47377478274416424:.4 CMC: 1: 0.7544 2: 0.7544 3: 0.7544 4: 0.7544 5: 0.7544 6: 0.7544 7: 0.7544 8: 0.7544 9: 0.7544 10: 0.7544 11: 0.7544 12: 0.7544 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8461538461538461] max_possible 12 AP 0.9038 nr: adding to 0 name_rank_counts [44, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.4811898063838537:.4 CMC: 1: 0.7586 2: 0.7586 3: 0.7586 4: 0.7586 5: 0.7586 6: 0.7586 7: 0.7586 8: 0.7586 9: 0.7586 10: 0.7586 11: 0.7586 12: 0.7586 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 23, 24] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [45, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.4899831994959918:.4 CMC: 1: 0.7627 2: 0.7627 3: 0.7627 4: 0.7627 5: 0.7627 6: 0.7627 7: 0.7627 8: 0.7627 9: 0.7627 10: 0.7627 11: 0.7627 12: 0.7627 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 18, 20, 32] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7142857142857143, 0.5789473684210527, 0.5714285714285714] max_possible 12 AP 0.9054 nr: adding to 0 name_rank_counts [46, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.49690662069069097:.4 CMC: 1: 0.7667 2: 0.7667 3: 0.7667 4: 0.7667 5: 0.7667 6: 0.7667 7: 0.7667 8: 0.7667 9: 0.7667 10: 0.7667 11: 0.7667 12: 0.7667 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 13, 15, 17, 18] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.8571428571428571, 0.875, 0.8888888888888888, 0.9, 0.9090909090909091, 0.8461538461538461, 0.8571428571428571] max_possible 12 AP 0.9139 nr: adding to 0 name_rank_counts [47, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5037425130997953:.4 CMC: 1: 0.7705 2: 0.7705 3: 0.7705 4: 0.7705 5: 0.7705 6: 0.7705 7: 0.7705 8: 0.7705 9: 0.7705 10: 0.7705 11: 0.7705 12: 0.7705 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 14, 16, 23, 26, 27, 34, 35] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9, 0.9090909090909091, 0.7333333333333333, 0.7058823529411765] max_possible 12 AP 0.9374 nr: adding to 0 name_rank_counts [48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5107363255166877:.4 CMC: 1: 0.7742 2: 0.7742 3: 0.7742 4: 0.7742 5: 0.7742 6: 0.7742 7: 0.7742 8: 0.7742 9: 0.7742 10: 0.7742 11: 0.7742 12: 0.7742 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [49, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5145341616195974:.4 CMC: 1: 0.7778 2: 0.7778 3: 0.7778 4: 0.7778 5: 0.7778 6: 0.7778 7: 0.7778 8: 0.7778 9: 0.7778 10: 0.7778 11: 0.7778 12: 0.7778 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5221195653442912:.4 CMC: 1: 0.7812 2: 0.7812 3: 0.7812 4: 0.7812 5: 0.7812 6: 0.7812 7: 0.7812 8: 0.7812 9: 0.7812 10: 0.7812 11: 0.7812 12: 0.7812 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.529471572031302:.4 CMC: 1: 0.7846 2: 0.7846 3: 0.7846 4: 0.7846 5: 0.7846 6: 0.7846 7: 0.7846 8: 0.7846 9: 0.7846 10: 0.7846 11: 0.7846 12: 0.7846 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5366007906368884:.4 CMC: 1: 0.7879 2: 0.7879 3: 0.7879 4: 0.7879 5: 0.7879 6: 0.7879 7: 0.7879 8: 0.7879 9: 0.7879 10: 0.7879 11: 0.7879 12: 0.7879 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 10, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7272727272727273, 0.6] max_possible 12 AP 0.6939 nr: adding to 0 name_rank_counts [53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5389491279996124:.4 CMC: 1: 0.791 2: 0.791 3: 0.791 4: 0.791 5: 0.791 6: 0.791 7: 0.791 8: 0.791 9: 0.791 10: 0.791 11: 0.791 12: 0.791 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.537150856509422:.4 CMC: 1: 0.7941 2: 0.7941 3: 0.7941 4: 0.7941 5: 0.7941 6: 0.7941 7: 0.7941 8: 0.7941 9: 0.7941 10: 0.7941 11: 0.7941 12: 0.7941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5366124382991405:.4 CMC: 1: 0.7971 2: 0.7971 3: 0.7971 4: 0.7971 5: 0.7971 6: 0.7971 7: 0.7971 8: 0.7971 9: 0.7971 10: 0.7971 11: 0.7971 12: 0.7971 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [56, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5360894034662956:.4 CMC: 1: 0.8 2: 0.8 3: 0.8 4: 0.8 5: 0.8 6: 0.8 7: 0.8 8: 0.8 9: 0.8 10: 0.8 11: 0.8 12: 0.8 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [57, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5426233555301506:.4 CMC: 1: 0.8028 2: 0.8028 3: 0.8028 4: 0.8028 5: 0.8028 6: 0.8028 7: 0.8028 8: 0.8028 9: 0.8028 10: 0.8028 11: 0.8028 12: 0.8028 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 20, 21] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [58, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5489758089255652:.4 CMC: 1: 0.8056 2: 0.8056 3: 0.8056 4: 0.8056 5: 0.8056 6: 0.8056 7: 0.8056 8: 0.8056 9: 0.8056 10: 0.8056 11: 0.8056 12: 0.8056 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 30] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [59, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5551542225019274:.4 CMC: 1: 0.8082 2: 0.8082 3: 0.8082 4: 0.8082 5: 0.8082 6: 0.8082 7: 0.8082 8: 0.8082 9: 0.8082 10: 0.8082 11: 0.8082 12: 0.8082 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5499043906663157:.4 CMC: 1: 0.8108 2: 0.8108 3: 0.8108 4: 0.8108 5: 0.8108 6: 0.8108 7: 0.8108 8: 0.8108 9: 0.8108 10: 0.8108 11: 0.8108 12: 0.8108 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [61, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5525723321240981:.4 CMC: 1: 0.8133 2: 0.8133 3: 0.8133 4: 0.8133 5: 0.8133 6: 0.8133 7: 0.8133 8: 0.8133 9: 0.8133 10: 0.8133 11: 0.8133 12: 0.8133 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [62, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.551880590911939:.4 CMC: 1: 0.8158 2: 0.8158 3: 0.8158 4: 0.8158 5: 0.8158 6: 0.8158 7: 0.8158 8: 0.8158 9: 0.8158 10: 0.8158 11: 0.8158 12: 0.8158 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888] max_possible 12 AP 0.6574 nr: adding to 0 name_rank_counts [63, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5532510690482437:.4 CMC: 1: 0.8182 2: 0.8182 3: 0.8182 4: 0.8182 5: 0.8182 6: 0.8182 7: 0.8182 8: 0.8182 9: 0.8182 10: 0.8182 11: 0.8182 12: 0.8182 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5547051151715567:.4 CMC: 1: 0.8205 2: 0.8205 3: 0.8205 4: 0.8205 5: 0.8205 6: 0.8205 7: 0.8205 8: 0.8205 9: 0.8205 10: 0.8205 11: 0.8205 12: 0.8205 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5603417592833092:.4 CMC: 1: 0.8228 2: 0.8228 3: 0.8228 4: 0.8228 5: 0.8228 6: 0.8228 7: 0.8228 8: 0.8228 9: 0.8228 10: 0.8228 11: 0.8228 12: 0.8228 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9791 nr: adding to 0 name_rank_counts [66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5655758565618872:.4 CMC: 1: 0.825 2: 0.825 3: 0.825 4: 0.825 5: 0.825 6: 0.825 7: 0.825 8: 0.825 9: 0.825 10: 0.825 11: 0.825 12: 0.825 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [67, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5709391175919873:.4 CMC: 1: 0.8272 2: 0.8272 3: 0.8272 4: 0.8272 5: 0.8272 6: 0.8272 7: 0.8272 8: 0.8272 9: 0.8272 10: 0.8272 11: 0.8272 12: 0.8272 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 12 AP 0.4881 nr: adding to 0 name_rank_counts [68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5699288263786124:.4 CMC: 1: 0.8293 2: 0.8293 3: 0.8293 4: 0.8293 5: 0.8293 6: 0.8293 7: 0.8293 8: 0.8293 9: 0.8293 10: 0.8293 11: 0.8293 12: 0.8293 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 32, 40, 43, 44, 47, 62] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [69, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5751104067836894:.4 CMC: 1: 0.8313 2: 0.8313 3: 0.8313 4: 0.8313 5: 0.8313 6: 0.8313 7: 0.8313 8: 0.8313 9: 0.8313 10: 0.8313 11: 0.8313 12: 0.8313 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [70, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5801686162267407:.4 CMC: 1: 0.8333 2: 0.8333 3: 0.8333 4: 0.8333 5: 0.8333 6: 0.8333 7: 0.8333 8: 0.8333 9: 0.8333 10: 0.8333 11: 0.8333 12: 0.8333 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 24, 28, 29, 36, 38, 40] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [71, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5851078089770143:.4 CMC: 1: 0.8353 2: 0.8353 3: 0.8353 4: 0.8353 5: 0.8353 6: 0.8353 7: 0.8353 8: 0.8353 9: 0.8353 10: 0.8353 11: 0.8353 12: 0.8353 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 5, 7, 8, 10] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.8333333333333334, 0.75, 0.7777777777777778, 0.7272727272727273] max_possible 12 AP 0.574 nr: adding to 0 name_rank_counts [72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5849790203439326:.4 CMC: 1: 0.8372 2: 0.8372 3: 0.8372 4: 0.8372 5: 0.8372 6: 0.8372 7: 0.8372 8: 0.8372 9: 0.8372 10: 0.8372 11: 0.8372 12: 0.8372 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 24, 25, 26, 29, 37] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [73, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5897493764319334:.4 CMC: 1: 0.8391 2: 0.8391 3: 0.8391 4: 0.8391 5: 0.8391 6: 0.8391 7: 0.8391 8: 0.8391 9: 0.8391 10: 0.8391 11: 0.8391 12: 0.8391 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5944113153361159:.4 CMC: 1: 0.8409 2: 0.8409 3: 0.8409 4: 0.8409 5: 0.8409 6: 0.8409 7: 0.8409 8: 0.8409 9: 0.8409 10: 0.8409 11: 0.8409 12: 0.8409 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 15, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8, 0.8181818181818182, 0.8333333333333334, 0.6875, 0.6666666666666666] max_possible 12 AP 0.9005 nr: adding to 0 name_rank_counts [75, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.5978502161171538:.4 CMC: 1: 0.8427 2: 0.8427 3: 0.8427 4: 0.8427 5: 0.8427 6: 0.8427 7: 0.8427 8: 0.8427 9: 0.8427 10: 0.8427 11: 0.8427 12: 0.8427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 25, 27, 29, 30, 44] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [76, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6023185470491854:.4 CMC: 1: 0.8444 2: 0.8444 3: 0.8444 4: 0.8444 5: 0.8444 6: 0.8444 7: 0.8444 8: 0.8444 9: 0.8444 10: 0.8444 11: 0.8444 12: 0.8444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 17, 24] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [77, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6066886729057878:.4 CMC: 1: 0.8462 2: 0.8462 3: 0.8462 4: 0.8462 5: 0.8462 6: 0.8462 7: 0.8462 8: 0.8462 9: 0.8462 10: 0.8462 11: 0.8462 12: 0.8462 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 28, 43, 44] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [78, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6109637960263771:.4 CMC: 1: 0.8478 2: 0.8478 3: 0.8478 4: 0.8478 5: 0.8478 6: 0.8478 7: 0.8478 8: 0.8478 9: 0.8478 10: 0.8478 11: 0.8478 12: 0.8478 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 25, 47, 48] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [79, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6151469810153407:.4 CMC: 1: 0.8495 2: 0.8495 3: 0.8495 4: 0.8495 5: 0.8495 6: 0.8495 7: 0.8495 8: 0.8495 9: 0.8495 10: 0.8495 11: 0.8495 12: 0.8495 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6174681124229789:.4 CMC: 1: 0.8511 2: 0.8511 3: 0.8511 4: 0.8511 5: 0.8511 6: 0.8511 7: 0.8511 8: 0.8511 9: 0.8511 10: 0.8511 11: 0.8511 12: 0.8511 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 18, 34, 35] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [81, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6214947638711581:.4 CMC: 1: 0.8526 2: 0.8526 3: 0.8526 4: 0.8526 5: 0.8526 6: 0.8526 7: 0.8526 8: 0.8526 9: 0.8526 10: 0.8526 11: 0.8526 12: 0.8526 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 17, 20] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [82, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6254375267475002:.4 CMC: 1: 0.8542 2: 0.8542 3: 0.8542 4: 0.8542 5: 0.8542 6: 0.8542 7: 0.8542 8: 0.8542 9: 0.8542 10: 0.8542 11: 0.8542 12: 0.8542 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 14, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8461538461538461, 0.8] max_possible 12 AP 0.9705 nr: adding to 0 name_rank_counts [83, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6289950040028128:.4 CMC: 1: 0.8557 2: 0.8557 3: 0.8557 4: 0.8557 5: 0.8557 6: 0.8557 7: 0.8557 8: 0.8557 9: 0.8557 10: 0.8557 11: 0.8557 12: 0.8557 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5, 6] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666, 0.7142857142857143] max_possible 12 AP 0.3651 nr: adding to 0 name_rank_counts [84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6263019872791042:.4 CMC: 1: 0.8571 2: 0.8571 3: 0.8571 4: 0.8571 5: 0.8571 6: 0.8571 7: 0.8571 8: 0.8571 9: 0.8571 10: 0.8571 11: 0.8571 12: 0.8571 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [85, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6250262096298204:.4 CMC: 1: 0.8586 2: 0.8586 3: 0.8586 4: 0.8586 5: 0.8586 6: 0.8586 7: 0.8586 8: 0.8586 9: 0.8586 10: 0.8586 11: 0.8586 12: 0.8586 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14] At the end mAP 0.6246092808668555:.4 CMC: 1: 0.86 2: 0.86 3: 0.86 4: 0.86 5: 0.86 6: 0.86 7: 0.86 8: 0.86 9: 0.86 10: 0.86 11: 0.86 12: 0.86 13: 1.0 ======================================== annot_ranks [] num_for_qnid 111 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [86, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6184250305612431:.4 CMC: 1: 0.8515 2: 0.8515 3: 0.8515 4: 0.8515 5: 0.8515 6: 0.8515 7: 0.8515 8: 0.8515 9: 0.8515 10: 0.8515 11: 0.8515 12: 0.8515 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [87, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.622165961634172:.4 CMC: 1: 0.8529 2: 0.8529 3: 0.8529 4: 0.8529 5: 0.8529 6: 0.8529 7: 0.8529 8: 0.8529 9: 0.8529 10: 0.8529 11: 0.8529 12: 0.8529 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [88, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6217889458254261:.4 CMC: 1: 0.8544 2: 0.8544 3: 0.8544 4: 0.8544 5: 0.8544 6: 0.8544 7: 0.8544 8: 0.8544 9: 0.8544 10: 0.8544 11: 0.8544 12: 0.8544 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [89, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6222204623719764:.4 CMC: 1: 0.8558 2: 0.8558 3: 0.8558 4: 0.8558 5: 0.8558 6: 0.8558 7: 0.8558 8: 0.8558 9: 0.8558 10: 0.8558 11: 0.8558 12: 0.8558 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 111 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [90, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6170882040001797:.4 CMC: 1: 0.8571 2: 0.8571 3: 0.8571 4: 0.8571 5: 0.8571 6: 0.8571 7: 0.8571 8: 0.8571 9: 0.8571 10: 0.8571 11: 0.8571 12: 0.8571 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [91, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6207005794341403:.4 CMC: 1: 0.8585 2: 0.8585 3: 0.8585 4: 0.8585 5: 0.8585 6: 0.8585 7: 0.8585 8: 0.8585 9: 0.8585 10: 0.8585 11: 0.8585 12: 0.8585 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7333333333333333] max_possible 12 AP 0.8944 nr: adding to 0 name_rank_counts [92, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6232589333127413:.4 CMC: 1: 0.8598 2: 0.8598 3: 0.8598 4: 0.8598 5: 0.8598 6: 0.8598 7: 0.8598 8: 0.8598 9: 0.8598 10: 0.8598 11: 0.8598 12: 0.8598 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [93, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6267472765228085:.4 CMC: 1: 0.8611 2: 0.8611 3: 0.8611 4: 0.8611 5: 0.8611 6: 0.8611 7: 0.8611 8: 0.8611 9: 0.8611 10: 0.8611 11: 0.8611 12: 0.8611 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [94, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6301716134354433:.4 CMC: 1: 0.8624 2: 0.8624 3: 0.8624 4: 0.8624 5: 0.8624 6: 0.8624 7: 0.8624 8: 0.8624 9: 0.8624 10: 0.8624 11: 0.8624 12: 0.8624 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [95, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6320185381617877:.4 CMC: 1: 0.8636 2: 0.8636 3: 0.8636 4: 0.8636 5: 0.8636 6: 0.8636 7: 0.8636 8: 0.8636 9: 0.8636 10: 0.8636 11: 0.8636 12: 0.8636 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6353336864666365:.4 CMC: 1: 0.8649 2: 0.8649 3: 0.8649 4: 0.8649 5: 0.8649 6: 0.8649 7: 0.8649 8: 0.8649 9: 0.8649 10: 0.8649 11: 0.8649 12: 0.8649 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [97, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6378455880755654:.4 CMC: 1: 0.8661 2: 0.8661 3: 0.8661 4: 0.8661 5: 0.8661 6: 0.8661 7: 0.8661 8: 0.8661 9: 0.8661 10: 0.8661 11: 0.8661 12: 0.8661 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6410504943757815:.4 CMC: 1: 0.8673 2: 0.8673 3: 0.8673 4: 0.8673 5: 0.8673 6: 0.8673 7: 0.8673 8: 0.8673 9: 0.8673 10: 0.8673 11: 0.8673 12: 0.8673 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [99, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6441991742496782:.4 CMC: 1: 0.8684 2: 0.8684 3: 0.8684 4: 0.8684 5: 0.8684 6: 0.8684 7: 0.8684 8: 0.8684 9: 0.8684 10: 0.8684 11: 0.8684 12: 0.8684 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6472930944735941:.4 CMC: 1: 0.8696 2: 0.8696 3: 0.8696 4: 0.8696 5: 0.8696 6: 0.8696 7: 0.8696 8: 0.8696 9: 0.8696 10: 0.8696 11: 0.8696 12: 0.8696 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [101, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6503336712453734:.4 CMC: 1: 0.8707 2: 0.8707 3: 0.8707 4: 0.8707 5: 0.8707 6: 0.8707 7: 0.8707 8: 0.8707 9: 0.8707 10: 0.8707 11: 0.8707 12: 0.8707 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [102, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6533222723458403:.4 CMC: 1: 0.8718 2: 0.8718 3: 0.8718 4: 0.8718 5: 0.8718 6: 0.8718 7: 0.8718 8: 0.8718 9: 0.8718 10: 0.8718 11: 0.8718 12: 0.8718 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [103, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.656260219190367:.4 CMC: 1: 0.8729 2: 0.8729 3: 0.8729 4: 0.8729 5: 0.8729 6: 0.8729 7: 0.8729 8: 0.8729 9: 0.8729 10: 0.8729 11: 0.8729 12: 0.8729 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6591487887770027:.4 CMC: 1: 0.8739 2: 0.8739 3: 0.8739 4: 0.8739 5: 0.8739 6: 0.8739 7: 0.8739 8: 0.8739 9: 0.8739 10: 0.8739 11: 0.8739 12: 0.8739 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [105, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6619892155371943:.4 CMC: 1: 0.875 2: 0.875 3: 0.875 4: 0.875 5: 0.875 6: 0.875 7: 0.875 8: 0.875 9: 0.875 10: 0.875 11: 0.875 12: 0.875 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [106, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6634052826264185:.4 CMC: 1: 0.876 2: 0.876 3: 0.876 4: 0.876 5: 0.876 6: 0.876 7: 0.876 8: 0.876 9: 0.876 10: 0.876 11: 0.876 12: 0.876 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6, 7, 10, 11] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 0.875, 0.7272727272727273, 0.75] max_possible 12 AP 0.6841 nr: adding to 0 name_rank_counts [107, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.663575058714464:.4 CMC: 1: 0.877 2: 0.877 3: 0.877 4: 0.877 5: 0.877 6: 0.877 7: 0.877 8: 0.877 9: 0.877 10: 0.877 11: 0.877 12: 0.877 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [108, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6662016460350398:.4 CMC: 1: 0.878 2: 0.878 3: 0.878 4: 0.878 5: 0.878 6: 0.878 7: 0.878 8: 0.878 9: 0.878 10: 0.878 11: 0.878 12: 0.878 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9791 nr: adding to 0 name_rank_counts [109, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6687247742248342:.4 CMC: 1: 0.879 2: 0.879 3: 0.879 4: 0.879 5: 0.879 6: 0.879 7: 0.879 8: 0.879 9: 0.879 10: 0.879 11: 0.879 12: 0.879 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [110, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6707083093643689:.4 CMC: 1: 0.88 2: 0.88 3: 0.88 4: 0.88 5: 0.88 6: 0.88 7: 0.88 8: 0.88 9: 0.88 10: 0.88 11: 0.88 12: 0.88 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [111, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6733217354805248:.4 CMC: 1: 0.881 2: 0.881 3: 0.881 4: 0.881 5: 0.881 6: 0.881 7: 0.881 8: 0.881 9: 0.881 10: 0.881 11: 0.881 12: 0.881 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6758940052798906:.4 CMC: 1: 0.8819 2: 0.8819 3: 0.8819 4: 0.8819 5: 0.8819 6: 0.8819 7: 0.8819 8: 0.8819 9: 0.8819 10: 0.8819 11: 0.8819 12: 0.8819 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [113, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6725667083636415:.4 CMC: 1: 0.8828 2: 0.8828 3: 0.8828 4: 0.8828 5: 0.8828 6: 0.8828 7: 0.8828 8: 0.8828 9: 0.8828 10: 0.8828 11: 0.8828 12: 0.8828 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6692909974460939:.4 CMC: 1: 0.8837 2: 0.8837 3: 0.8837 4: 0.8837 5: 0.8837 6: 0.8837 7: 0.8837 8: 0.8837 9: 0.8837 10: 0.8837 11: 0.8837 12: 0.8837 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [115, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6660656820811239:.4 CMC: 1: 0.8846 2: 0.8846 3: 0.8846 4: 0.8846 5: 0.8846 6: 0.8846 7: 0.8846 8: 0.8846 9: 0.8846 10: 0.8846 11: 0.8846 12: 0.8846 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [116, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6654341374341943:.4 CMC: 1: 0.8855 2: 0.8855 3: 0.8855 4: 0.8855 5: 0.8855 6: 0.8855 7: 0.8855 8: 0.8855 9: 0.8855 10: 0.8855 11: 0.8855 12: 0.8855 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [117, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6679687273021171:.4 CMC: 1: 0.8864 2: 0.8864 3: 0.8864 4: 0.8864 5: 0.8864 6: 0.8864 7: 0.8864 8: 0.8864 9: 0.8864 10: 0.8864 11: 0.8864 12: 0.8864 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [118, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6698386366206475:.4 CMC: 1: 0.8872 2: 0.8872 3: 0.8872 4: 0.8872 5: 0.8872 6: 0.8872 7: 0.8872 8: 0.8872 9: 0.8872 10: 0.8872 11: 0.8872 12: 0.8872 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 48] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [119, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6722546896577304:.4 CMC: 1: 0.8881 2: 0.8881 3: 0.8881 4: 0.8881 5: 0.8881 6: 0.8881 7: 0.8881 8: 0.8881 9: 0.8881 10: 0.8881 11: 0.8881 12: 0.8881 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 22, 41] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6746824326973027:.4 CMC: 1: 0.8889 2: 0.8889 3: 0.8889 4: 0.8889 5: 0.8889 6: 0.8889 7: 0.8889 8: 0.8889 9: 0.8889 10: 0.8889 11: 0.8889 12: 0.8889 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 15] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5] max_possible 12 AP 0.625 nr: adding to 0 name_rank_counts [121, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6743171206921755:.4 CMC: 1: 0.8897 2: 0.8897 3: 0.8897 4: 0.8897 5: 0.8897 6: 0.8897 7: 0.8897 8: 0.8897 9: 0.8897 10: 0.8897 11: 0.8897 12: 0.8897 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 19, 41] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.55, 0.2857142857142857] max_possible 12 AP 0.903 nr: adding to 0 name_rank_counts [122, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6759861649971682:.4 CMC: 1: 0.8905 2: 0.8905 3: 0.8905 4: 0.8905 5: 0.8905 6: 0.8905 7: 0.8905 8: 0.8905 9: 0.8905 10: 0.8905 11: 0.8905 12: 0.8905 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 21, 23, 24, 27, 29, 38, 39, 40] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [123, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6783340913377685:.4 CMC: 1: 0.8913 2: 0.8913 3: 0.8913 4: 0.8913 5: 0.8913 6: 0.8913 7: 0.8913 8: 0.8913 9: 0.8913 10: 0.8913 11: 0.8913 12: 0.8913 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 19, 20, 21, 22, 23, 25, 26, 28, 29, 30, 35, 37, 44, 45, 46, 47] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [124, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6806482345655543:.4 CMC: 1: 0.8921 2: 0.8921 3: 0.8921 4: 0.8921 5: 0.8921 6: 0.8921 7: 0.8921 8: 0.8921 9: 0.8921 10: 0.8921 11: 0.8921 12: 0.8921 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 17, 18] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [125, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6829293186043718:.4 CMC: 1: 0.8929 2: 0.8929 3: 0.8929 4: 0.8929 5: 0.8929 6: 0.8929 7: 0.8929 8: 0.8929 9: 0.8929 10: 0.8929 11: 0.8929 12: 0.8929 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6810409310019767:.4 CMC: 1: 0.8936 2: 0.8936 3: 0.8936 4: 0.8936 5: 0.8936 6: 0.8936 7: 0.8936 8: 0.8936 9: 0.8936 10: 0.8936 11: 0.8936 12: 0.8936 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9, 15] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9, 0.625] max_possible 12 AP 0.7938 nr: adding to 0 name_rank_counts [127, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.681834656839991:.4 CMC: 1: 0.8944 2: 0.8944 3: 0.8944 4: 0.8944 5: 0.8944 6: 0.8944 7: 0.8944 8: 0.8944 9: 0.8944 10: 0.8944 11: 0.8944 12: 0.8944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 15, 16, 17] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.3125, 0.35294117647058826, 0.3888888888888889] max_possible 12 AP 0.4045 nr: adding to 0 name_rank_counts [128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6798954459910863:.4 CMC: 1: 0.8951 2: 0.8951 3: 0.8951 4: 0.8951 5: 0.8951 6: 0.8951 7: 0.8951 8: 0.8951 9: 0.8951 10: 0.8951 11: 0.8951 12: 0.8951 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [129, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6763313572457779:.4 CMC: 1: 0.8958 2: 0.8958 3: 0.8958 4: 0.8958 5: 0.8958 6: 0.8958 7: 0.8958 8: 0.8958 9: 0.8958 10: 0.8958 11: 0.8958 12: 0.8958 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [130, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6733911409889105:.4 CMC: 1: 0.8966 2: 0.8966 3: 0.8966 4: 0.8966 5: 0.8966 6: 0.8966 7: 0.8966 8: 0.8966 9: 0.8966 10: 0.8966 11: 0.8966 12: 0.8966 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 15, 17, 28, 32, 40, 49, 50] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6875, 0.6666666666666666] max_possible 12 AP 0.9462 nr: adding to 0 name_rank_counts [131, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6752595616366273:.4 CMC: 1: 0.8973 2: 0.8973 3: 0.8973 4: 0.8973 5: 0.8973 6: 0.8973 7: 0.8973 8: 0.8973 9: 0.8973 10: 0.8973 11: 0.8973 12: 0.8973 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 16, 17, 18, 23] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.8571428571428571] max_possible 12 AP 0.9812 nr: adding to 0 name_rank_counts [132, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6773404543714174:.4 CMC: 1: 0.898 2: 0.898 3: 0.898 4: 0.898 5: 0.898 6: 0.898 7: 0.898 8: 0.898 9: 0.898 10: 0.898 11: 0.898 12: 0.898 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 43] num_for_qnid 111 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [133, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15] At the end mAP 0.6795205864364754:.4 CMC: 1: 0.8986 2: 0.8986 3: 0.8986 4: 0.8986 5: 0.8986 6: 0.8986 7: 0.8986 8: 0.8986 9: 0.8986 10: 0.8986 11: 0.8986 12: 0.8986 13: 1.0 ======================================== annot_ranks [] num_for_qnid 13 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [133, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16] At the end mAP 0.6749600455879085:.4 CMC: 1: 0.8926 2: 0.8926 3: 0.8926 4: 0.8926 5: 0.8926 6: 0.8926 7: 0.8926 8: 0.8926 9: 0.8926 10: 0.8926 11: 0.8926 12: 0.8926 13: 1.0 ======================================== annot_ranks [] num_for_qnid 13 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [133, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6704603119506557:.4 CMC: 1: 0.8867 2: 0.8867 3: 0.8867 4: 0.8867 5: 0.8867 6: 0.8867 7: 0.8867 8: 0.8867 9: 0.8867 10: 0.8867 11: 0.8867 12: 0.8867 13: 1.0 ======================================== annot_ranks [1] num_for_qnid 20 name_ranks [1] precisions [0.5] max_possible 12 AP 0.04167 nr: adding to 1 name_rank_counts [133, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6662961156242717:.4 CMC: 1: 0.8808 2: 0.8874 3: 0.8874 4: 0.8874 5: 0.8874 6: 0.8874 7: 0.8874 8: 0.8874 9: 0.8874 10: 0.8874 11: 0.8874 12: 0.8874 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.8461538461538461] max_possible 12 AP 0.89 nr: adding to 0 name_rank_counts [134, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.667767570554094:.4 CMC: 1: 0.8816 2: 0.8882 3: 0.8882 4: 0.8882 5: 0.8882 6: 0.8882 7: 0.8882 8: 0.8882 9: 0.8882 10: 0.8882 11: 0.8882 12: 0.8882 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [135, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6699390243413221:.4 CMC: 1: 0.8824 2: 0.8889 3: 0.8889 4: 0.8889 5: 0.8889 6: 0.8889 7: 0.8889 8: 0.8889 9: 0.8889 10: 0.8889 11: 0.8889 12: 0.8889 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 29, 30] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [136, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6720822774300148:.4 CMC: 1: 0.8831 2: 0.8896 3: 0.8896 4: 0.8896 5: 0.8896 6: 0.8896 7: 0.8896 8: 0.8896 9: 0.8896 10: 0.8896 11: 0.8896 12: 0.8896 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [137, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6709720691885309:.4 CMC: 1: 0.8839 2: 0.8903 3: 0.8903 4: 0.8903 5: 0.8903 6: 0.8903 7: 0.8903 8: 0.8903 9: 0.8903 10: 0.8903 11: 0.8903 12: 0.8903 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [138, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6730812225911685:.4 CMC: 1: 0.8846 2: 0.891 3: 0.891 4: 0.891 5: 0.891 6: 0.891 7: 0.891 8: 0.891 9: 0.891 10: 0.891 11: 0.891 12: 0.891 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [139, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6751635077975942:.4 CMC: 1: 0.8854 2: 0.8917 3: 0.8917 4: 0.8917 5: 0.8917 6: 0.8917 7: 0.8917 8: 0.8917 9: 0.8917 10: 0.8917 11: 0.8917 12: 0.8917 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [140, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6772194349634322:.4 CMC: 1: 0.8861 2: 0.8924 3: 0.8924 4: 0.8924 5: 0.8924 6: 0.8924 7: 0.8924 8: 0.8924 9: 0.8924 10: 0.8924 11: 0.8924 12: 0.8924 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [141, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6792495014102031:.4 CMC: 1: 0.8868 2: 0.8931 3: 0.8931 4: 0.8931 5: 0.8931 6: 0.8931 7: 0.8931 8: 0.8931 9: 0.8931 10: 0.8931 11: 0.8931 12: 0.8931 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [142, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6812541920263893:.4 CMC: 1: 0.8875 2: 0.8938 3: 0.8938 4: 0.8938 5: 0.8938 6: 0.8938 7: 0.8938 8: 0.8938 9: 0.8938 10: 0.8938 11: 0.8938 12: 0.8938 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [143, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6832339796535546:.4 CMC: 1: 0.8882 2: 0.8944 3: 0.8944 4: 0.8944 5: 0.8944 6: 0.8944 7: 0.8944 8: 0.8944 9: 0.8944 10: 0.8944 11: 0.8944 12: 0.8944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [144, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6851893254581622:.4 CMC: 1: 0.8889 2: 0.8951 3: 0.8951 4: 0.8951 5: 0.8951 6: 0.8951 7: 0.8951 8: 0.8951 9: 0.8951 10: 0.8951 11: 0.8951 12: 0.8951 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [145, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6871206792897073:.4 CMC: 1: 0.8896 2: 0.8957 3: 0.8957 4: 0.8957 5: 0.8957 6: 0.8957 7: 0.8957 8: 0.8957 9: 0.8957 10: 0.8957 11: 0.8957 12: 0.8957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [146, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6890284800257457:.4 CMC: 1: 0.8902 2: 0.8963 3: 0.8963 4: 0.8963 5: 0.8963 6: 0.8963 7: 0.8963 8: 0.8963 9: 0.8963 10: 0.8963 11: 0.8963 12: 0.8963 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [147, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6909131559043775:.4 CMC: 1: 0.8909 2: 0.897 3: 0.897 4: 0.897 5: 0.897 6: 0.897 7: 0.897 8: 0.897 9: 0.897 10: 0.897 11: 0.897 12: 0.897 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [148, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6927751248447126:.4 CMC: 1: 0.8916 2: 0.8976 3: 0.8976 4: 0.8976 5: 0.8976 6: 0.8976 7: 0.8976 8: 0.8976 9: 0.8976 10: 0.8976 11: 0.8976 12: 0.8976 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 19, 26, 27] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [149, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6946147947558221:.4 CMC: 1: 0.8922 2: 0.8982 3: 0.8982 4: 0.8982 5: 0.8982 6: 0.8982 7: 0.8982 8: 0.8982 9: 0.8982 10: 0.8982 11: 0.8982 12: 0.8982 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [150, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6929603416124342:.4 CMC: 1: 0.8929 2: 0.8988 3: 0.8988 4: 0.8988 5: 0.8988 6: 0.8988 7: 0.8988 8: 0.8988 9: 0.8988 10: 0.8988 11: 0.8988 12: 0.8988 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8461538461538461] max_possible 12 AP 0.9038 nr: adding to 0 name_rank_counts [151, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6942081866552373:.4 CMC: 1: 0.8935 2: 0.8994 3: 0.8994 4: 0.8994 5: 0.8994 6: 0.8994 7: 0.8994 8: 0.8994 9: 0.8994 10: 0.8994 11: 0.8994 12: 0.8994 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 14, 16] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.6, 0.5882352941176471] max_possible 12 AP 0.7564 nr: adding to 0 name_rank_counts [152, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6945741797646215:.4 CMC: 1: 0.8941 2: 0.9 3: 0.9 4: 0.9 5: 0.9 6: 0.9 7: 0.9 8: 0.9 9: 0.9 10: 0.9 11: 0.9 12: 0.9 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17, 68] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [153, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6963602956724307:.4 CMC: 1: 0.8947 2: 0.9006 3: 0.9006 4: 0.9006 5: 0.9006 6: 0.9006 7: 0.9006 8: 0.9006 9: 0.9006 10: 0.9006 11: 0.9006 12: 0.9006 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [154, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6981256427906143:.4 CMC: 1: 0.8953 2: 0.9012 3: 0.9012 4: 0.9012 5: 0.9012 6: 0.9012 7: 0.9012 8: 0.9012 9: 0.9012 10: 0.9012 11: 0.9012 12: 0.9012 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [155, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.6998705812715934:.4 CMC: 1: 0.896 2: 0.9017 3: 0.9017 4: 0.9017 5: 0.9017 6: 0.9017 7: 0.9017 8: 0.9017 9: 0.9017 10: 0.9017 11: 0.9017 12: 0.9017 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [156, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7015954629884233:.4 CMC: 1: 0.8966 2: 0.9023 3: 0.9023 4: 0.9023 5: 0.9023 6: 0.9023 7: 0.9023 8: 0.9023 9: 0.9023 10: 0.9023 11: 0.9023 12: 0.9023 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 23, 24] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [157, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7033006317713466:.4 CMC: 1: 0.8971 2: 0.9029 3: 0.9029 4: 0.9029 5: 0.9029 6: 0.9029 7: 0.9029 8: 0.9029 9: 0.9029 10: 0.9029 11: 0.9029 12: 0.9029 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 31] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [158, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7049864236362822:.4 CMC: 1: 0.8977 2: 0.9034 3: 0.9034 4: 0.9034 5: 0.9034 6: 0.9034 7: 0.9034 8: 0.9034 9: 0.9034 10: 0.9034 11: 0.9034 12: 0.9034 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [159, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7066531670055687:.4 CMC: 1: 0.8983 2: 0.904 3: 0.904 4: 0.904 5: 0.904 6: 0.904 7: 0.904 8: 0.904 9: 0.904 10: 0.904 11: 0.904 12: 0.904 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 31, 32, 33, 34] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [160, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7083011829212678:.4 CMC: 1: 0.8989 2: 0.9045 3: 0.9045 4: 0.9045 5: 0.9045 6: 0.9045 7: 0.9045 8: 0.9045 9: 0.9045 10: 0.9045 11: 0.9045 12: 0.9045 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [161, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7089996865548547:.4 CMC: 1: 0.8994 2: 0.905 3: 0.905 4: 0.905 5: 0.905 6: 0.905 7: 0.905 8: 0.905 9: 0.905 10: 0.905 11: 0.905 12: 0.905 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 21, 22, 26] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [162, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7106163549628832:.4 CMC: 1: 0.9 2: 0.9056 3: 0.9056 4: 0.9056 5: 0.9056 6: 0.9056 7: 0.9056 8: 0.9056 9: 0.9056 10: 0.9056 11: 0.9056 12: 0.9056 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [163, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7122151596315965:.4 CMC: 1: 0.9006 2: 0.9061 3: 0.9061 4: 0.9061 5: 0.9061 6: 0.9061 7: 0.9061 8: 0.9061 9: 0.9061 10: 0.9061 11: 0.9061 12: 0.9061 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 21, 22] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [164, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7137963950182361:.4 CMC: 1: 0.9011 2: 0.9066 3: 0.9066 4: 0.9066 5: 0.9066 6: 0.9066 7: 0.9066 8: 0.9066 9: 0.9066 10: 0.9066 11: 0.9066 12: 0.9066 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [165, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7153603491438195:.4 CMC: 1: 0.9016 2: 0.9071 3: 0.9071 4: 0.9071 5: 0.9071 6: 0.9071 7: 0.9071 8: 0.9071 9: 0.9071 10: 0.9071 11: 0.9071 12: 0.9071 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [166, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.716907303768038:.4 CMC: 1: 0.9022 2: 0.9076 3: 0.9076 4: 0.9076 5: 0.9076 6: 0.9076 7: 0.9076 8: 0.9076 9: 0.9076 10: 0.9076 11: 0.9076 12: 0.9076 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [167, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7184375345584811:.4 CMC: 1: 0.9027 2: 0.9081 3: 0.9081 4: 0.9081 5: 0.9081 6: 0.9081 7: 0.9081 8: 0.9081 9: 0.9081 10: 0.9081 11: 0.9081 12: 0.9081 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [168, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7199513112544033:.4 CMC: 1: 0.9032 2: 0.9086 3: 0.9086 4: 0.9086 5: 0.9086 6: 0.9086 7: 0.9086 8: 0.9086 9: 0.9086 10: 0.9086 11: 0.9086 12: 0.9086 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [169, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7214488978252352:.4 CMC: 1: 0.9037 2: 0.9091 3: 0.9091 4: 0.9091 5: 0.9091 6: 0.9091 7: 0.9091 8: 0.9091 9: 0.9091 10: 0.9091 11: 0.9091 12: 0.9091 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [170, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7229305526240373:.4 CMC: 1: 0.9043 2: 0.9096 3: 0.9096 4: 0.9096 5: 0.9096 6: 0.9096 7: 0.9096 8: 0.9096 9: 0.9096 10: 0.9096 11: 0.9096 12: 0.9096 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 39 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [171, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7195464403526579:.4 CMC: 1: 0.9048 2: 0.9101 3: 0.9101 4: 0.9101 5: 0.9101 6: 0.9101 7: 0.9101 8: 0.9101 9: 0.9101 10: 0.9101 11: 0.9101 12: 0.9101 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [172, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7210225117192228:.4 CMC: 1: 0.9053 2: 0.9105 3: 0.9105 4: 0.9105 5: 0.9105 6: 0.9105 7: 0.9105 8: 0.9105 9: 0.9105 10: 0.9105 11: 0.9105 12: 0.9105 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 39 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [173, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7224831268411117:.4 CMC: 1: 0.9058 2: 0.911 3: 0.911 4: 0.911 5: 0.911 6: 0.911 7: 0.911 8: 0.911 9: 0.911 10: 0.911 11: 0.911 12: 0.911 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.6364 nr: adding to 0 name_rank_counts [174, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7220345878282082:.4 CMC: 1: 0.9062 2: 0.9115 3: 0.9115 4: 0.9115 5: 0.9115 6: 0.9115 7: 0.9115 8: 0.9115 9: 0.9115 10: 0.9115 11: 0.9115 12: 0.9115 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.7273 nr: adding to 0 name_rank_counts [175, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7220617284470918:.4 CMC: 1: 0.9067 2: 0.9119 3: 0.9119 4: 0.9119 5: 0.9119 6: 0.9119 7: 0.9119 8: 0.9119 9: 0.9119 10: 0.9119 11: 0.9119 12: 0.9119 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.6364 nr: adding to 0 name_rank_counts [176, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7216199857043936:.4 CMC: 1: 0.9072 2: 0.9124 3: 0.9124 4: 0.9124 5: 0.9124 6: 0.9124 7: 0.9124 8: 0.9124 9: 0.9124 10: 0.9124 11: 0.9124 12: 0.9124 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.6364 nr: adding to 0 name_rank_counts [177, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7211827736564922:.4 CMC: 1: 0.9077 2: 0.9128 3: 0.9128 4: 0.9128 5: 0.9128 6: 0.9128 7: 0.9128 8: 0.9128 9: 0.9128 10: 0.9128 11: 0.9128 12: 0.9128 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.6364 nr: adding to 0 name_rank_counts [178, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7207500229560185:.4 CMC: 1: 0.9082 2: 0.9133 3: 0.9133 4: 0.9133 5: 0.9133 6: 0.9133 7: 0.9133 8: 0.9133 9: 0.9133 10: 0.9133 11: 0.9133 12: 0.9133 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.6364 nr: adding to 0 name_rank_counts [179, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7203216656636715:.4 CMC: 1: 0.9086 2: 0.9137 3: 0.9137 4: 0.9137 5: 0.9137 6: 0.9137 7: 0.9137 8: 0.9137 9: 0.9137 10: 0.9137 11: 0.9137 12: 0.9137 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.8182 nr: adding to 0 name_rank_counts [180, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7208159088582076:.4 CMC: 1: 0.9091 2: 0.9141 3: 0.9141 4: 0.9141 5: 0.9141 6: 0.9141 7: 0.9141 8: 0.9141 9: 0.9141 10: 0.9141 11: 0.9141 12: 0.9141 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 0.8182 nr: adding to 0 name_rank_counts [181, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7213051847844568:.4 CMC: 1: 0.9095 2: 0.9146 3: 0.9146 4: 0.9146 5: 0.9146 6: 0.9146 7: 0.9146 8: 0.9146 9: 0.9146 10: 0.9146 11: 0.9146 12: 0.9146 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 11 name_ranks [0] precisions [1.0] max_possible 11 AP 0.09091 nr: adding to 0 name_rank_counts [182, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7181532043150799:.4 CMC: 1: 0.91 2: 0.915 3: 0.915 4: 0.915 5: 0.915 6: 0.915 7: 0.915 8: 0.915 9: 0.915 10: 0.915 11: 0.915 12: 0.915 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 7] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.75] max_possible 11 AP 0.5227 nr: adding to 0 name_rank_counts [183, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7171809359987225:.4 CMC: 1: 0.9104 2: 0.9154 3: 0.9154 4: 0.9154 5: 0.9154 6: 0.9154 7: 0.9154 8: 0.9154 9: 0.9154 10: 0.9154 11: 0.9154 12: 0.9154 13: 1.0 ======================================== annot_ranks [0, 1, 4, 7] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 0.6, 0.5] max_possible 11 AP 0.2818 nr: adding to 0 name_rank_counts [184, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.715025674839413:.4 CMC: 1: 0.9109 2: 0.9158 3: 0.9158 4: 0.9158 5: 0.9158 6: 0.9158 7: 0.9158 8: 0.9158 9: 0.9158 10: 0.9158 11: 0.9158 12: 0.9158 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 11 name_ranks [0] precisions [1.0] max_possible 11 AP 0.09091 nr: adding to 0 name_rank_counts [185, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7119512089087217:.4 CMC: 1: 0.9113 2: 0.9163 3: 0.9163 4: 0.9163 5: 0.9163 6: 0.9163 7: 0.9163 8: 0.9163 9: 0.9163 10: 0.9163 11: 0.9163 12: 0.9163 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 9] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8] max_possible 8 AP 0.975 nr: adding to 0 name_rank_counts [186, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7132406637670123:.4 CMC: 1: 0.9118 2: 0.9167 3: 0.9167 4: 0.9167 5: 0.9167 6: 0.9167 7: 0.9167 8: 0.9167 9: 0.9167 10: 0.9167 11: 0.9167 12: 0.9167 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.75 nr: adding to 0 name_rank_counts [187, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7134199776022953:.4 CMC: 1: 0.9122 2: 0.9171 3: 0.9171 4: 0.9171 5: 0.9171 6: 0.9171 7: 0.9171 8: 0.9171 9: 0.9171 10: 0.9171 11: 0.9171 12: 0.9171 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888] max_possible 8 AP 0.9861 nr: adding to 0 name_rank_counts [188, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7147437209688428:.4 CMC: 1: 0.9126 2: 0.9175 3: 0.9175 4: 0.9175 5: 0.9175 6: 0.9175 7: 0.9175 8: 0.9175 9: 0.9175 10: 0.9175 11: 0.9175 12: 0.9175 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [189, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17] At the end mAP 0.7149140411573991:.4 CMC: 1: 0.913 2: 0.9179 3: 0.9179 4: 0.9179 5: 0.9179 6: 0.9179 7: 0.9179 8: 0.9179 9: 0.9179 10: 0.9179 11: 0.9179 12: 0.9179 13: 1.0 ======================================== annot_ranks [] num_for_qnid 20 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [189, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7114769544210655:.4 CMC: 1: 0.9087 2: 0.9135 3: 0.9135 4: 0.9135 5: 0.9135 6: 0.9135 7: 0.9135 8: 0.9135 9: 0.9135 10: 0.9135 11: 0.9135 12: 0.9135 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 10] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.45454545454545453] max_possible 12 AP 0.3545 nr: adding to 0 name_rank_counts [190, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.709769148201565:.4 CMC: 1: 0.9091 2: 0.9139 3: 0.9139 4: 0.9139 5: 0.9139 6: 0.9139 7: 0.9139 8: 0.9139 9: 0.9139 10: 0.9139 11: 0.9139 12: 0.9139 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [191, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7079765967021925:.4 CMC: 1: 0.9095 2: 0.9143 3: 0.9143 4: 0.9143 5: 0.9143 6: 0.9143 7: 0.9143 8: 0.9143 9: 0.9143 10: 0.9143 11: 0.9143 12: 0.9143 13: 1.0 ======================================== annot_ranks [0, 1, 3, 5, 15] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.6666666666666666, 0.3125] max_possible 12 AP 0.3108 nr: adding to 0 name_rank_counts [192, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7060940720206128:.4 CMC: 1: 0.91 2: 0.9147 3: 0.9147 4: 0.9147 5: 0.9147 6: 0.9147 7: 0.9147 8: 0.9147 9: 0.9147 10: 0.9147 11: 0.9147 12: 0.9147 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 12 AP 0.2292 nr: adding to 0 name_rank_counts [193, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7038444144481887:.4 CMC: 1: 0.9104 2: 0.9151 3: 0.9151 4: 0.9151 5: 0.9151 6: 0.9151 7: 0.9151 8: 0.9151 9: 0.9151 10: 0.9151 11: 0.9151 12: 0.9151 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [194, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7017136894977276:.4 CMC: 1: 0.9108 2: 0.9155 3: 0.9155 4: 0.9155 5: 0.9155 6: 0.9155 7: 0.9155 8: 0.9155 9: 0.9155 10: 0.9155 11: 0.9155 12: 0.9155 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [195, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6996028778645607:.4 CMC: 1: 0.9112 2: 0.9159 3: 0.9159 4: 0.9159 5: 0.9159 6: 0.9159 7: 0.9159 8: 0.9159 9: 0.9159 10: 0.9159 11: 0.9159 12: 0.9159 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [196, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6975117016884465:.4 CMC: 1: 0.9116 2: 0.9163 3: 0.9163 4: 0.9163 5: 0.9163 6: 0.9163 7: 0.9163 8: 0.9163 9: 0.9163 10: 0.9163 11: 0.9163 12: 0.9163 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [197, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6962114931929752:.4 CMC: 1: 0.912 2: 0.9167 3: 0.9167 4: 0.9167 5: 0.9167 6: 0.9167 7: 0.9167 8: 0.9167 9: 0.9167 10: 0.9167 11: 0.9167 12: 0.9167 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.875 nr: adding to 0 name_rank_counts [198, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6970354033625927:.4 CMC: 1: 0.9124 2: 0.9171 3: 0.9171 4: 0.9171 5: 0.9171 6: 0.9171 7: 0.9171 8: 0.9171 9: 0.9171 10: 0.9171 11: 0.9171 12: 0.9171 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.875 nr: adding to 0 name_rank_counts [199, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6978517547233147:.4 CMC: 1: 0.9128 2: 0.9174 3: 0.9174 4: 0.9174 5: 0.9174 6: 0.9174 7: 0.9174 8: 0.9174 9: 0.9174 10: 0.9174 11: 0.9174 12: 0.9174 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.875 nr: adding to 0 name_rank_counts [200, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6986606508204686:.4 CMC: 1: 0.9132 2: 0.9178 3: 0.9178 4: 0.9178 5: 0.9178 6: 0.9178 7: 0.9178 8: 0.9178 9: 0.9178 10: 0.9178 11: 0.9178 12: 0.9178 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 10] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7272727272727273] max_possible 8 AP 0.9659 nr: adding to 0 name_rank_counts [201, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6998754164572352:.4 CMC: 1: 0.9136 2: 0.9182 3: 0.9182 4: 0.9182 5: 0.9182 6: 0.9182 7: 0.9182 8: 0.9182 9: 0.9182 10: 0.9182 11: 0.9182 12: 0.9182 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 8 AP 0.7321 nr: adding to 0 name_rank_counts [202, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7000214229761745:.4 CMC: 1: 0.914 2: 0.9186 3: 0.9186 4: 0.9186 5: 0.9186 6: 0.9186 7: 0.9186 8: 0.9186 9: 0.9186 10: 0.9186 11: 0.9186 12: 0.9186 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 8 AP 1.0 nr: adding to 0 name_rank_counts [203, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7013726778276332:.4 CMC: 1: 0.9144 2: 0.9189 3: 0.9189 4: 0.9189 5: 0.9189 6: 0.9189 7: 0.9189 8: 0.9189 9: 0.9189 10: 0.9189 11: 0.9189 12: 0.9189 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 7] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875] max_possible 9 AP 0.7639 nr: adding to 0 name_rank_counts [204, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7016530195812712:.4 CMC: 1: 0.9148 2: 0.9193 3: 0.9193 4: 0.9193 5: 0.9193 6: 0.9193 7: 0.9193 8: 0.9193 9: 0.9193 10: 0.9193 11: 0.9193 12: 0.9193 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.7778 nr: adding to 0 name_rank_counts [205, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7019928622517912:.4 CMC: 1: 0.9152 2: 0.9196 3: 0.9196 4: 0.9196 5: 0.9196 6: 0.9196 7: 0.9196 8: 0.9196 9: 0.9196 10: 0.9196 11: 0.9196 12: 0.9196 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.6667 nr: adding to 0 name_rank_counts [206, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7018358569380795:.4 CMC: 1: 0.9156 2: 0.92 3: 0.92 4: 0.92 5: 0.92 6: 0.92 7: 0.92 8: 0.92 9: 0.92 10: 0.92 11: 0.92 12: 0.92 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.5556 nr: adding to 0 name_rank_counts [207, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7011885989673604:.4 CMC: 1: 0.9159 2: 0.9204 3: 0.9204 4: 0.9204 5: 0.9204 6: 0.9204 7: 0.9204 8: 0.9204 9: 0.9204 10: 0.9204 11: 0.9204 12: 0.9204 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 15] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.4375] max_possible 9 AP 0.7153 nr: adding to 0 name_rank_counts [208, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7012506658343667:.4 CMC: 1: 0.9163 2: 0.9207 3: 0.9207 4: 0.9207 5: 0.9207 6: 0.9207 7: 0.9207 8: 0.9207 9: 0.9207 10: 0.9207 11: 0.9207 12: 0.9207 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 13] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.42857142857142855] max_possible 9 AP 0.6032 nr: adding to 0 name_rank_counts [209, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7008205076648063:.4 CMC: 1: 0.9167 2: 0.9211 3: 0.9211 4: 0.9211 5: 0.9211 6: 0.9211 7: 0.9211 8: 0.9211 9: 0.9211 10: 0.9211 11: 0.9211 12: 0.9211 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.6667 nr: adding to 0 name_rank_counts [210, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7006713642543342:.4 CMC: 1: 0.917 2: 0.9214 3: 0.9214 4: 0.9214 5: 0.9214 6: 0.9214 7: 0.9214 8: 0.9214 9: 0.9214 10: 0.9214 11: 0.9214 12: 0.9214 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 9 AP 0.3333 nr: adding to 0 name_rank_counts [211, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6990742423807645:.4 CMC: 1: 0.9174 2: 0.9217 3: 0.9217 4: 0.9217 5: 0.9217 6: 0.9217 7: 0.9217 8: 0.9217 9: 0.9217 10: 0.9217 11: 0.9217 12: 0.9217 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 9 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 9 AP 0.1852 nr: adding to 0 name_rank_counts [212, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6968496144275369:.4 CMC: 1: 0.9177 2: 0.9221 3: 0.9221 4: 0.9221 5: 0.9221 6: 0.9221 7: 0.9221 8: 0.9221 9: 0.9221 10: 0.9221 11: 0.9221 12: 0.9221 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 9 name_ranks [0] precisions [1.0] max_possible 9 AP 0.1111 nr: adding to 0 name_rank_counts [213, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6943248794994489:.4 CMC: 1: 0.9181 2: 0.9224 3: 0.9224 4: 0.9224 5: 0.9224 6: 0.9224 7: 0.9224 8: 0.9224 9: 0.9224 10: 0.9224 11: 0.9224 12: 0.9224 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 21 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [214, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6917025981854311:.4 CMC: 1: 0.9185 2: 0.9227 3: 0.9227 4: 0.9227 5: 0.9227 6: 0.9227 7: 0.9227 8: 0.9227 9: 0.9227 10: 0.9227 11: 0.9227 12: 0.9227 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [215, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6912394816689692:.4 CMC: 1: 0.9188 2: 0.9231 3: 0.9231 4: 0.9231 5: 0.9231 6: 0.9231 7: 0.9231 8: 0.9231 9: 0.9231 10: 0.9231 11: 0.9231 12: 0.9231 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [216, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6893618668533567:.4 CMC: 1: 0.9191 2: 0.9234 3: 0.9234 4: 0.9234 5: 0.9234 6: 0.9234 7: 0.9234 8: 0.9234 9: 0.9234 10: 0.9234 11: 0.9234 12: 0.9234 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [217, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6906509680259685:.4 CMC: 1: 0.9195 2: 0.9237 3: 0.9237 4: 0.9237 5: 0.9237 6: 0.9237 7: 0.9237 8: 0.9237 9: 0.9237 10: 0.9237 11: 0.9237 12: 0.9237 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 21 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 12 AP 0.1389 nr: adding to 0 name_rank_counts [218, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6883228579874152:.4 CMC: 1: 0.9198 2: 0.9241 3: 0.9241 4: 0.9241 5: 0.9241 6: 0.9241 7: 0.9241 8: 0.9241 9: 0.9241 10: 0.9241 11: 0.9241 12: 0.9241 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [219, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6896324258109975:.4 CMC: 1: 0.9202 2: 0.9244 3: 0.9244 4: 0.9244 5: 0.9244 6: 0.9244 7: 0.9244 8: 0.9244 9: 0.9244 10: 0.9244 11: 0.9244 12: 0.9244 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [220, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6909310349080227:.4 CMC: 1: 0.9205 2: 0.9247 3: 0.9247 4: 0.9247 5: 0.9247 6: 0.9247 7: 0.9247 8: 0.9247 9: 0.9247 10: 0.9247 11: 0.9247 12: 0.9247 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [221, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6922188222625727:.4 CMC: 1: 0.9208 2: 0.925 3: 0.925 4: 0.925 5: 0.925 6: 0.925 7: 0.925 8: 0.925 9: 0.925 10: 0.925 11: 0.925 12: 0.925 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [222, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6934959225851346:.4 CMC: 1: 0.9212 2: 0.9253 3: 0.9253 4: 0.9253 5: 0.9253 6: 0.9253 7: 0.9253 8: 0.9253 9: 0.9253 10: 0.9253 11: 0.9253 12: 0.9253 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [223, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6947624683595762:.4 CMC: 1: 0.9215 2: 0.9256 3: 0.9256 4: 0.9256 5: 0.9256 6: 0.9256 7: 0.9256 8: 0.9256 9: 0.9256 10: 0.9256 11: 0.9256 12: 0.9256 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [224, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6960185898889607:.4 CMC: 1: 0.9218 2: 0.9259 3: 0.9259 4: 0.9259 5: 0.9259 6: 0.9259 7: 0.9259 8: 0.9259 9: 0.9259 10: 0.9259 11: 0.9259 12: 0.9259 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [225, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6972644153402354:.4 CMC: 1: 0.9221 2: 0.9262 3: 0.9262 4: 0.9262 5: 0.9262 6: 0.9262 7: 0.9262 8: 0.9262 9: 0.9262 10: 0.9262 11: 0.9262 12: 0.9262 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [226, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6985000707878263:.4 CMC: 1: 0.9224 2: 0.9265 3: 0.9265 4: 0.9265 5: 0.9265 6: 0.9265 7: 0.9265 8: 0.9265 9: 0.9265 10: 0.9265 11: 0.9265 12: 0.9265 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [227, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.6997256802561684:.4 CMC: 1: 0.9228 2: 0.9268 3: 0.9268 4: 0.9268 5: 0.9268 6: 0.9268 7: 0.9268 8: 0.9268 9: 0.9268 10: 0.9268 11: 0.9268 12: 0.9268 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [228, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7009413657612042:.4 CMC: 1: 0.9231 2: 0.9271 3: 0.9271 4: 0.9271 5: 0.9271 6: 0.9271 7: 0.9271 8: 0.9271 9: 0.9271 10: 0.9271 11: 0.9271 12: 0.9271 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [229, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7021472473508767:.4 CMC: 1: 0.9234 2: 0.9274 3: 0.9274 4: 0.9274 5: 0.9274 6: 0.9274 7: 0.9274 8: 0.9274 9: 0.9274 10: 0.9274 11: 0.9274 12: 0.9274 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [230, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7033434431446484:.4 CMC: 1: 0.9237 2: 0.9277 3: 0.9277 4: 0.9277 5: 0.9277 6: 0.9277 7: 0.9277 8: 0.9277 9: 0.9277 10: 0.9277 11: 0.9277 12: 0.9277 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 21 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 12 AP 0.1389 nr: adding to 0 name_rank_counts [231, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7010856249276253:.4 CMC: 1: 0.924 2: 0.928 3: 0.928 4: 0.928 5: 0.928 6: 0.928 7: 0.928 8: 0.928 9: 0.928 10: 0.928 11: 0.928 12: 0.928 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [232, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 18] At the end mAP 0.7022765188522164:.4 CMC: 1: 0.9243 2: 0.9283 3: 0.9283 4: 0.9283 5: 0.9283 6: 0.9283 7: 0.9283 8: 0.9283 9: 0.9283 10: 0.9283 11: 0.9283 12: 0.9283 13: 1.0 ======================================== annot_ranks [] num_for_qnid 21 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [232, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6994897072694696:.4 CMC: 1: 0.9206 2: 0.9246 3: 0.9246 4: 0.9246 5: 0.9246 6: 0.9246 7: 0.9246 8: 0.9246 9: 0.9246 10: 0.9246 11: 0.9246 12: 0.9246 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [233, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.700677494987772:.4 CMC: 1: 0.9209 2: 0.9249 3: 0.9249 4: 0.9249 5: 0.9249 6: 0.9249 7: 0.9249 8: 0.9249 9: 0.9249 10: 0.9249 11: 0.9249 12: 0.9249 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [234, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.7018559300468753:.4 CMC: 1: 0.9213 2: 0.9252 3: 0.9252 4: 0.9252 5: 0.9252 6: 0.9252 7: 0.9252 8: 0.9252 9: 0.9252 10: 0.9252 11: 0.9252 12: 0.9252 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0] max_possible 10 AP 0.2 nr: adding to 0 name_rank_counts [235, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6998878675761032:.4 CMC: 1: 0.9216 2: 0.9255 3: 0.9255 4: 0.9255 5: 0.9255 6: 0.9255 7: 0.9255 8: 0.9255 9: 0.9255 10: 0.9255 11: 0.9255 12: 0.9255 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0] max_possible 10 AP 0.2 nr: adding to 0 name_rank_counts [236, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6979351805933841:.4 CMC: 1: 0.9219 2: 0.9258 3: 0.9258 4: 0.9258 5: 0.9258 6: 0.9258 7: 0.9258 8: 0.9258 9: 0.9258 10: 0.9258 11: 0.9258 12: 0.9258 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0] max_possible 10 AP 0.2 nr: adding to 0 name_rank_counts [237, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6959976896183127:.4 CMC: 1: 0.9222 2: 0.9261 3: 0.9261 4: 0.9261 5: 0.9261 6: 0.9261 7: 0.9261 8: 0.9261 9: 0.9261 10: 0.9261 11: 0.9261 12: 0.9261 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [238, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6948504117515749:.4 CMC: 1: 0.9225 2: 0.9264 3: 0.9264 4: 0.9264 5: 0.9264 6: 0.9264 7: 0.9264 8: 0.9264 9: 0.9264 10: 0.9264 11: 0.9264 12: 0.9264 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [239, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6937119931733835:.4 CMC: 1: 0.9228 2: 0.9266 3: 0.9266 4: 0.9266 5: 0.9266 6: 0.9266 7: 0.9266 8: 0.9266 9: 0.9266 10: 0.9266 11: 0.9266 12: 0.9266 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [240, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6925823316611782:.4 CMC: 1: 0.9231 2: 0.9269 3: 0.9269 4: 0.9269 5: 0.9269 6: 0.9269 7: 0.9269 8: 0.9269 9: 0.9269 10: 0.9269 11: 0.9269 12: 0.9269 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [241, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.691461326559028:.4 CMC: 1: 0.9234 2: 0.9272 3: 0.9272 4: 0.9272 5: 0.9272 6: 0.9272 7: 0.9272 8: 0.9272 9: 0.9272 10: 0.9272 11: 0.9272 12: 0.9272 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [242, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6903488787477341:.4 CMC: 1: 0.9237 2: 0.9275 3: 0.9275 4: 0.9275 5: 0.9275 6: 0.9275 7: 0.9275 8: 0.9275 9: 0.9275 10: 0.9275 11: 0.9275 12: 0.9275 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [243, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6896251187524955:.4 CMC: 1: 0.924 2: 0.9278 3: 0.9278 4: 0.9278 5: 0.9278 6: 0.9278 7: 0.9278 8: 0.9278 9: 0.9278 10: 0.9278 11: 0.9278 12: 0.9278 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 10 AP 0.5857 nr: adding to 0 name_rank_counts [244, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19] At the end mAP 0.6892315171121993:.4 CMC: 1: 0.9242 2: 0.928 3: 0.928 4: 0.928 5: 0.928 6: 0.928 7: 0.928 8: 0.928 9: 0.928 10: 0.928 11: 0.928 12: 0.928 13: 1.0 ======================================== annot_ranks [] num_for_qnid 10 name_ranks [] precisions [] max_possible 10 AP 0.0 nr: adding to MAX_RANK name_rank_counts [244, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20] At the end mAP 0.6866306434627193:.4 CMC: 1: 0.9208 2: 0.9245 3: 0.9245 4: 0.9245 5: 0.9245 6: 0.9245 7: 0.9245 8: 0.9245 9: 0.9245 10: 0.9245 11: 0.9245 12: 0.9245 13: 1.0 ======================================== annot_ranks [0, 1, 5] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 0.5] max_possible 12 AP 0.2083 nr: adding to 0 name_rank_counts [245, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20] At the end mAP 0.684832533274263:.4 CMC: 1: 0.9211 2: 0.9248 3: 0.9248 4: 0.9248 5: 0.9248 6: 0.9248 7: 0.9248 8: 0.9248 9: 0.9248 10: 0.9248 11: 0.9248 12: 0.9248 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 12 AP 0.2292 nr: adding to 0 name_rank_counts [246, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20] At the end mAP 0.6831259195416503:.4 CMC: 1: 0.9213 2: 0.9251 3: 0.9251 4: 0.9251 5: 0.9251 6: 0.9251 7: 0.9251 8: 0.9251 9: 0.9251 10: 0.9251 11: 0.9251 12: 0.9251 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 13 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [247, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20] At the end mAP 0.6811988327771913:.4 CMC: 1: 0.9216 2: 0.9254 3: 0.9254 4: 0.9254 5: 0.9254 6: 0.9254 7: 0.9254 8: 0.9254 9: 0.9254 10: 0.9254 11: 0.9254 12: 0.9254 13: 1.0 ======================================== annot_ranks [] num_for_qnid 13 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [247, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6786664951088746:.4 CMC: 1: 0.9182 2: 0.9219 3: 0.9219 4: 0.9219 5: 0.9219 6: 0.9219 7: 0.9219 8: 0.9219 9: 0.9219 10: 0.9219 11: 0.9219 12: 0.9219 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [248, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.679856619201064:.4 CMC: 1: 0.9185 2: 0.9222 3: 0.9222 4: 0.9222 5: 0.9222 6: 0.9222 7: 0.9222 8: 0.9222 9: 0.9222 10: 0.9222 11: 0.9222 12: 0.9222 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 40, 41, 42] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [249, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6810379600896209:.4 CMC: 1: 0.9188 2: 0.9225 3: 0.9225 4: 0.9225 5: 0.9225 6: 0.9225 7: 0.9225 8: 0.9225 9: 0.9225 10: 0.9225 11: 0.9225 12: 0.9225 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 47, 54, 58, 59, 61, 65, 66, 67, 71] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [250, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.682210614648115:.4 CMC: 1: 0.9191 2: 0.9228 3: 0.9228 4: 0.9228 5: 0.9228 6: 0.9228 7: 0.9228 8: 0.9228 9: 0.9228 10: 0.9228 11: 0.9228 12: 0.9228 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [251, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6833511975380112:.4 CMC: 1: 0.9194 2: 0.9231 3: 0.9231 4: 0.9231 5: 0.9231 6: 0.9231 7: 0.9231 8: 0.9231 9: 0.9231 10: 0.9231 11: 0.9231 12: 0.9231 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [252, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6823778963304514:.4 CMC: 1: 0.9197 2: 0.9234 3: 0.9234 4: 0.9234 5: 0.9234 6: 0.9234 7: 0.9234 8: 0.9234 9: 0.9234 10: 0.9234 11: 0.9234 12: 0.9234 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 34] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [253, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6835328857983407:.4 CMC: 1: 0.92 2: 0.9236 3: 0.9236 4: 0.9236 5: 0.9236 6: 0.9236 7: 0.9236 8: 0.9236 9: 0.9236 10: 0.9236 11: 0.9236 12: 0.9236 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 41, 42] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [254, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6846795057773323:.4 CMC: 1: 0.9203 2: 0.9239 3: 0.9239 4: 0.9239 5: 0.9239 6: 0.9239 7: 0.9239 8: 0.9239 9: 0.9239 10: 0.9239 11: 0.9239 12: 0.9239 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 31, 32, 33, 36, 38, 39] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [255, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6858178469117101:.4 CMC: 1: 0.9206 2: 0.9242 3: 0.9242 4: 0.9242 5: 0.9242 6: 0.9242 7: 0.9242 8: 0.9242 9: 0.9242 10: 0.9242 11: 0.9242 12: 0.9242 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [256, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6869479985415241:.4 CMC: 1: 0.9209 2: 0.9245 3: 0.9245 4: 0.9245 5: 0.9245 6: 0.9245 7: 0.9245 8: 0.9245 9: 0.9245 10: 0.9245 11: 0.9245 12: 0.9245 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [257, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6880700487259631:.4 CMC: 1: 0.9211 2: 0.9247 3: 0.9247 4: 0.9247 5: 0.9247 6: 0.9247 7: 0.9247 8: 0.9247 9: 0.9247 10: 0.9247 11: 0.9247 12: 0.9247 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29, 30, 31, 32] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [258, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6891840842662275:.4 CMC: 1: 0.9214 2: 0.925 3: 0.925 4: 0.925 5: 0.925 6: 0.925 7: 0.925 8: 0.925 9: 0.925 10: 0.925 11: 0.925 12: 0.925 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [259, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6902901907279134:.4 CMC: 1: 0.9217 2: 0.9253 3: 0.9253 4: 0.9253 5: 0.9253 6: 0.9253 7: 0.9253 8: 0.9253 9: 0.9253 10: 0.9253 11: 0.9253 12: 0.9253 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [260, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6913884524629208:.4 CMC: 1: 0.922 2: 0.9255 3: 0.9255 4: 0.9255 5: 0.9255 6: 0.9255 7: 0.9255 8: 0.9255 9: 0.9255 10: 0.9255 11: 0.9255 12: 0.9255 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 20] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [261, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6924789526308964:.4 CMC: 1: 0.9223 2: 0.9258 3: 0.9258 4: 0.9258 5: 0.9258 6: 0.9258 7: 0.9258 8: 0.9258 9: 0.9258 10: 0.9258 11: 0.9258 12: 0.9258 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 50, 53, 54] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [262, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6935617732202242:.4 CMC: 1: 0.9225 2: 0.9261 3: 0.9261 4: 0.9261 5: 0.9261 6: 0.9261 7: 0.9261 8: 0.9261 9: 0.9261 10: 0.9261 11: 0.9261 12: 0.9261 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 49, 51, 53, 55] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [263, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6946369950685743:.4 CMC: 1: 0.9228 2: 0.9263 3: 0.9263 4: 0.9263 5: 0.9263 6: 0.9263 7: 0.9263 8: 0.9263 9: 0.9263 10: 0.9263 11: 0.9263 12: 0.9263 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 38, 40, 45, 46, 48] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [264, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6957046978830198:.4 CMC: 1: 0.9231 2: 0.9266 3: 0.9266 4: 0.9266 5: 0.9266 6: 0.9266 7: 0.9266 8: 0.9266 9: 0.9266 10: 0.9266 11: 0.9266 12: 0.9266 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 44, 46, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [265, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6967649602597341:.4 CMC: 1: 0.9233 2: 0.9268 3: 0.9268 4: 0.9268 5: 0.9268 6: 0.9268 7: 0.9268 8: 0.9268 9: 0.9268 10: 0.9268 11: 0.9268 12: 0.9268 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 47, 49, 50] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [266, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6978178597032767:.4 CMC: 1: 0.9236 2: 0.9271 3: 0.9271 4: 0.9271 5: 0.9271 6: 0.9271 7: 0.9271 8: 0.9271 9: 0.9271 10: 0.9271 11: 0.9271 12: 0.9271 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 46, 47] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [267, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.69886347264548:.4 CMC: 1: 0.9239 2: 0.9273 3: 0.9273 4: 0.9273 5: 0.9273 6: 0.9273 7: 0.9273 8: 0.9273 9: 0.9273 10: 0.9273 11: 0.9273 12: 0.9273 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 55] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [268, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.6999018744639438:.4 CMC: 1: 0.9241 2: 0.9276 3: 0.9276 4: 0.9276 5: 0.9276 6: 0.9276 7: 0.9276 8: 0.9276 9: 0.9276 10: 0.9276 11: 0.9276 12: 0.9276 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [269, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7009331395001502:.4 CMC: 1: 0.9244 2: 0.9278 3: 0.9278 4: 0.9278 5: 0.9278 6: 0.9278 7: 0.9278 8: 0.9278 9: 0.9278 10: 0.9278 11: 0.9278 12: 0.9278 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [270, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7019573410772044:.4 CMC: 1: 0.9247 2: 0.9281 3: 0.9281 4: 0.9281 5: 0.9281 6: 0.9281 7: 0.9281 8: 0.9281 9: 0.9281 10: 0.9281 11: 0.9281 12: 0.9281 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 33, 34, 36, 37] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [271, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.702974551517214:.4 CMC: 1: 0.9249 2: 0.9283 3: 0.9283 4: 0.9283 5: 0.9283 6: 0.9283 7: 0.9283 8: 0.9283 9: 0.9283 10: 0.9283 11: 0.9283 12: 0.9283 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 31, 32, 33, 34, 35] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [272, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7039848421583119:.4 CMC: 1: 0.9252 2: 0.9286 3: 0.9286 4: 0.9286 5: 0.9286 6: 0.9286 7: 0.9286 8: 0.9286 9: 0.9286 10: 0.9286 11: 0.9286 12: 0.9286 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20, 21] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [273, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7049882833713346:.4 CMC: 1: 0.9254 2: 0.9288 3: 0.9288 4: 0.9288 5: 0.9288 6: 0.9288 7: 0.9288 8: 0.9288 9: 0.9288 10: 0.9288 11: 0.9288 12: 0.9288 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [274, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7059849445761611:.4 CMC: 1: 0.9257 2: 0.9291 3: 0.9291 4: 0.9291 5: 0.9291 6: 0.9291 7: 0.9291 8: 0.9291 9: 0.9291 10: 0.9291 11: 0.9291 12: 0.9291 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 43, 45, 50, 56, 60, 63, 65, 76, 77] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [275, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7069748942577229:.4 CMC: 1: 0.9259 2: 0.9293 3: 0.9293 4: 0.9293 5: 0.9293 6: 0.9293 7: 0.9293 8: 0.9293 9: 0.9293 10: 0.9293 11: 0.9293 12: 0.9293 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 39, 44, 50, 60] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [276, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7079581999816903:.4 CMC: 1: 0.9262 2: 0.9295 3: 0.9295 4: 0.9295 5: 0.9295 6: 0.9295 7: 0.9295 8: 0.9295 9: 0.9295 10: 0.9295 11: 0.9295 12: 0.9295 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [277, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7089349284098452:.4 CMC: 1: 0.9264 2: 0.9298 3: 0.9298 4: 0.9298 5: 0.9298 6: 0.9298 7: 0.9298 8: 0.9298 9: 0.9298 10: 0.9298 11: 0.9298 12: 0.9298 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [278, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7099051453151457:.4 CMC: 1: 0.9267 2: 0.93 3: 0.93 4: 0.93 5: 0.93 6: 0.93 7: 0.93 8: 0.93 9: 0.93 10: 0.93 11: 0.93 12: 0.93 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [279, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7108689155964907:.4 CMC: 1: 0.9269 2: 0.9302 3: 0.9302 4: 0.9302 5: 0.9302 6: 0.9302 7: 0.9302 8: 0.9302 9: 0.9302 10: 0.9302 11: 0.9302 12: 0.9302 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [280, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7118263032931911:.4 CMC: 1: 0.9272 2: 0.9305 3: 0.9305 4: 0.9305 5: 0.9305 6: 0.9305 7: 0.9305 8: 0.9305 9: 0.9305 10: 0.9305 11: 0.9305 12: 0.9305 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [281, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7111272065826525:.4 CMC: 1: 0.9274 2: 0.9307 3: 0.9307 4: 0.9307 5: 0.9307 6: 0.9307 7: 0.9307 8: 0.9307 9: 0.9307 10: 0.9307 11: 0.9307 12: 0.9307 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 25, 27, 28, 44, 45, 46, 47, 48, 49, 50] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [282, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7120774460346831:.4 CMC: 1: 0.9276 2: 0.9309 3: 0.9309 4: 0.9309 5: 0.9309 6: 0.9309 7: 0.9309 8: 0.9309 9: 0.9309 10: 0.9309 11: 0.9309 12: 0.9309 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [283, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.71302145440834:.4 CMC: 1: 0.9279 2: 0.9311 3: 0.9311 4: 0.9311 5: 0.9311 6: 0.9311 7: 0.9311 8: 0.9311 9: 0.9311 10: 0.9311 11: 0.9311 12: 0.9311 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [284, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7139592927926264:.4 CMC: 1: 0.9281 2: 0.9314 3: 0.9314 4: 0.9314 5: 0.9314 6: 0.9314 7: 0.9314 8: 0.9314 9: 0.9314 10: 0.9314 11: 0.9314 12: 0.9314 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 30] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [285, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7148910214805982:.4 CMC: 1: 0.9283 2: 0.9316 3: 0.9316 4: 0.9316 5: 0.9316 6: 0.9316 7: 0.9316 8: 0.9316 9: 0.9316 10: 0.9316 11: 0.9316 12: 0.9316 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 44, 45, 46, 47, 49, 50, 51, 52, 53] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [286, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7158166999822847:.4 CMC: 1: 0.9286 2: 0.9318 3: 0.9318 4: 0.9318 5: 0.9318 6: 0.9318 7: 0.9318 8: 0.9318 9: 0.9318 10: 0.9318 11: 0.9318 12: 0.9318 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [287, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7164666998744672:.4 CMC: 1: 0.9288 2: 0.932 3: 0.932 4: 0.932 5: 0.932 6: 0.932 7: 0.932 8: 0.932 9: 0.932 10: 0.932 11: 0.932 12: 0.932 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [288, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7173813234232592:.4 CMC: 1: 0.929 2: 0.9323 3: 0.9323 4: 0.9323 5: 0.9323 6: 0.9323 7: 0.9323 8: 0.9323 9: 0.9323 10: 0.9323 11: 0.9323 12: 0.9323 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 28, 29, 30] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [289, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7182900651485864:.4 CMC: 1: 0.9293 2: 0.9325 3: 0.9325 4: 0.9325 5: 0.9325 6: 0.9325 7: 0.9325 8: 0.9325 9: 0.9325 10: 0.9325 11: 0.9325 12: 0.9325 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [290, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7183916995551615:.4 CMC: 1: 0.9295 2: 0.9327 3: 0.9327 4: 0.9327 5: 0.9327 6: 0.9327 7: 0.9327 8: 0.9327 9: 0.9327 10: 0.9327 11: 0.9327 12: 0.9327 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [291, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7184926845406082:.4 CMC: 1: 0.9297 2: 0.9329 3: 0.9329 4: 0.9329 5: 0.9329 6: 0.9329 7: 0.9329 8: 0.9329 9: 0.9329 10: 0.9329 11: 0.9329 12: 0.9329 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [292, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7185930263095871:.4 CMC: 1: 0.9299 2: 0.9331 3: 0.9331 4: 0.9331 5: 0.9331 6: 0.9331 7: 0.9331 8: 0.9331 9: 0.9331 10: 0.9331 11: 0.9331 12: 0.9331 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [293, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.71922183151707:.4 CMC: 1: 0.9302 2: 0.9333 3: 0.9333 4: 0.9333 5: 0.9333 6: 0.9333 7: 0.9333 8: 0.9333 9: 0.9333 10: 0.9333 11: 0.9333 12: 0.9333 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [294, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7200900844033759:.4 CMC: 1: 0.9304 2: 0.9335 3: 0.9335 4: 0.9335 5: 0.9335 6: 0.9335 7: 0.9335 8: 0.9335 9: 0.9335 10: 0.9335 11: 0.9335 12: 0.9335 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [295, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.720973080982545:.4 CMC: 1: 0.9306 2: 0.9338 3: 0.9338 4: 0.9338 5: 0.9338 6: 0.9338 7: 0.9338 8: 0.9338 9: 0.9338 10: 0.9338 11: 0.9338 12: 0.9338 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [296, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7218505241241093:.4 CMC: 1: 0.9308 2: 0.934 3: 0.934 4: 0.934 5: 0.934 6: 0.934 7: 0.934 8: 0.934 9: 0.934 10: 0.934 11: 0.934 12: 0.934 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 27, 30, 31] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [297, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7227224660547548:.4 CMC: 1: 0.931 2: 0.9342 3: 0.9342 4: 0.9342 5: 0.9342 6: 0.9342 7: 0.9342 8: 0.9342 9: 0.9342 10: 0.9342 11: 0.9342 12: 0.9342 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [298, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7235889583483337:.4 CMC: 1: 0.9313 2: 0.9344 3: 0.9344 4: 0.9344 5: 0.9344 6: 0.9344 7: 0.9344 8: 0.9344 9: 0.9344 10: 0.9344 11: 0.9344 12: 0.9344 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 39, 42, 43, 48, 50, 57, 58, 59, 69, 70] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [299, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7244500519360335:.4 CMC: 1: 0.9315 2: 0.9346 3: 0.9346 4: 0.9346 5: 0.9346 6: 0.9346 7: 0.9346 8: 0.9346 9: 0.9346 10: 0.9346 11: 0.9346 12: 0.9346 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [300, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7253057971163565:.4 CMC: 1: 0.9317 2: 0.9348 3: 0.9348 4: 0.9348 5: 0.9348 6: 0.9348 7: 0.9348 8: 0.9348 9: 0.9348 10: 0.9348 11: 0.9348 12: 0.9348 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [301, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7261562435649126:.4 CMC: 1: 0.9319 2: 0.935 3: 0.935 4: 0.935 5: 0.935 6: 0.935 7: 0.935 8: 0.935 9: 0.935 10: 0.935 11: 0.935 12: 0.935 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 41, 42, 44, 46, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [302, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21] At the end mAP 0.7270014403440332:.4 CMC: 1: 0.9321 2: 0.9352 3: 0.9352 4: 0.9352 5: 0.9352 6: 0.9352 7: 0.9352 8: 0.9352 9: 0.9352 10: 0.9352 11: 0.9352 12: 0.9352 13: 1.0 ======================================== annot_ranks [] num_for_qnid 264 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [302, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22] At the end mAP 0.7247645128352823:.4 CMC: 1: 0.9292 2: 0.9323 3: 0.9323 4: 0.9323 5: 0.9323 6: 0.9323 7: 0.9323 8: 0.9323 9: 0.9323 10: 0.9323 11: 0.9323 12: 0.9323 13: 1.0 ======================================== annot_ranks [] num_for_qnid 264 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [302, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7225413088081802:.4 CMC: 1: 0.9264 2: 0.9294 3: 0.9294 4: 0.9294 5: 0.9294 6: 0.9294 7: 0.9294 8: 0.9294 9: 0.9294 10: 0.9294 11: 0.9294 12: 0.9294 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [303, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7233898063347608:.4 CMC: 1: 0.9266 2: 0.9297 3: 0.9297 4: 0.9297 5: 0.9297 6: 0.9297 7: 0.9297 8: 0.9297 9: 0.9297 10: 0.9297 11: 0.9297 12: 0.9297 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 44, 45, 46, 47] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [304, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7242331300959353:.4 CMC: 1: 0.9268 2: 0.9299 3: 0.9299 4: 0.9299 5: 0.9299 6: 0.9299 7: 0.9299 8: 0.9299 9: 0.9299 10: 0.9299 11: 0.9299 12: 0.9299 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 54, 55] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [305, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.725071327268896:.4 CMC: 1: 0.9271 2: 0.9301 3: 0.9301 4: 0.9301 5: 0.9301 6: 0.9301 7: 0.9301 8: 0.9301 9: 0.9301 10: 0.9301 11: 0.9301 12: 0.9301 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31, 32] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [306, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7259044444589902:.4 CMC: 1: 0.9273 2: 0.9303 3: 0.9303 4: 0.9303 5: 0.9303 6: 0.9303 7: 0.9303 8: 0.9303 9: 0.9303 10: 0.9303 11: 0.9303 12: 0.9303 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [307, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7267325277083588:.4 CMC: 1: 0.9275 2: 0.9305 3: 0.9305 4: 0.9305 5: 0.9305 6: 0.9305 7: 0.9305 8: 0.9305 9: 0.9305 10: 0.9305 11: 0.9305 12: 0.9305 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 51, 56, 57] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [308, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.727555622504418:.4 CMC: 1: 0.9277 2: 0.9307 3: 0.9307 4: 0.9307 5: 0.9307 6: 0.9307 7: 0.9307 8: 0.9307 9: 0.9307 10: 0.9307 11: 0.9307 12: 0.9307 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [309, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7283737737881885:.4 CMC: 1: 0.9279 2: 0.9309 3: 0.9309 4: 0.9309 5: 0.9309 6: 0.9309 7: 0.9309 8: 0.9309 9: 0.9309 10: 0.9309 11: 0.9309 12: 0.9309 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [310, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7291870259624753:.4 CMC: 1: 0.9281 2: 0.9311 3: 0.9311 4: 0.9311 5: 0.9311 6: 0.9311 7: 0.9311 8: 0.9311 9: 0.9311 10: 0.9311 11: 0.9311 12: 0.9311 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [311, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7299954228999008:.4 CMC: 1: 0.9284 2: 0.9313 3: 0.9313 4: 0.9313 5: 0.9313 6: 0.9313 7: 0.9313 8: 0.9313 9: 0.9313 10: 0.9313 11: 0.9313 12: 0.9313 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 47, 48, 49, 50, 51, 54, 55, 58, 59, 60, 64, 65, 67, 68, 72, 73] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [312, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7307990079507939:.4 CMC: 1: 0.9286 2: 0.9315 3: 0.9315 4: 0.9315 5: 0.9315 6: 0.9315 7: 0.9315 8: 0.9315 9: 0.9315 10: 0.9315 11: 0.9315 12: 0.9315 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 49, 50, 51, 62] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [313, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7315978239509399:.4 CMC: 1: 0.9288 2: 0.9318 3: 0.9318 4: 0.9318 5: 0.9318 6: 0.9318 7: 0.9318 8: 0.9318 9: 0.9318 10: 0.9318 11: 0.9318 12: 0.9318 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 50, 51, 52, 53, 56, 57, 58, 62, 63, 64, 65] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [314, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7323919132291915:.4 CMC: 1: 0.929 2: 0.932 3: 0.932 4: 0.932 5: 0.932 6: 0.932 7: 0.932 8: 0.932 9: 0.932 10: 0.932 11: 0.932 12: 0.932 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 33, 34, 35, 36, 37, 42, 43, 46, 47, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [315, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7331813176149461:.4 CMC: 1: 0.9292 2: 0.9322 3: 0.9322 4: 0.9322 5: 0.9322 6: 0.9322 7: 0.9322 8: 0.9322 9: 0.9322 10: 0.9322 11: 0.9322 12: 0.9322 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [316, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7339660784454904:.4 CMC: 1: 0.9294 2: 0.9324 3: 0.9324 4: 0.9324 5: 0.9324 6: 0.9324 7: 0.9324 8: 0.9324 9: 0.9324 10: 0.9324 11: 0.9324 12: 0.9324 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [317, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7347462365732162:.4 CMC: 1: 0.9296 2: 0.9326 3: 0.9326 4: 0.9326 5: 0.9326 6: 0.9326 7: 0.9326 8: 0.9326 9: 0.9326 10: 0.9326 11: 0.9326 12: 0.9326 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [318, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7355218323727097:.4 CMC: 1: 0.9298 2: 0.9327 3: 0.9327 4: 0.9327 5: 0.9327 6: 0.9327 7: 0.9327 8: 0.9327 9: 0.9327 10: 0.9327 11: 0.9327 12: 0.9327 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [319, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7362929057477164:.4 CMC: 1: 0.93 2: 0.9329 3: 0.9329 4: 0.9329 5: 0.9329 6: 0.9329 7: 0.9329 8: 0.9329 9: 0.9329 10: 0.9329 11: 0.9329 12: 0.9329 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [320, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7370594961379848:.4 CMC: 1: 0.9302 2: 0.9331 3: 0.9331 4: 0.9331 5: 0.9331 6: 0.9331 7: 0.9331 8: 0.9331 9: 0.9331 10: 0.9331 11: 0.9331 12: 0.9331 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [321, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7378216425259906:.4 CMC: 1: 0.9304 2: 0.9333 3: 0.9333 4: 0.9333 5: 0.9333 6: 0.9333 7: 0.9333 8: 0.9333 9: 0.9333 10: 0.9333 11: 0.9333 12: 0.9333 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [322, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7385793834435456:.4 CMC: 1: 0.9306 2: 0.9335 3: 0.9335 4: 0.9335 5: 0.9335 6: 0.9335 7: 0.9335 8: 0.9335 9: 0.9335 10: 0.9335 11: 0.9335 12: 0.9335 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [323, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7393327569782904:.4 CMC: 1: 0.9308 2: 0.9337 3: 0.9337 4: 0.9337 5: 0.9337 6: 0.9337 7: 0.9337 8: 0.9337 9: 0.9337 10: 0.9337 11: 0.9337 12: 0.9337 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [324, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7400818007800769:.4 CMC: 1: 0.931 2: 0.9339 3: 0.9339 4: 0.9339 5: 0.9339 6: 0.9339 7: 0.9339 8: 0.9339 9: 0.9339 10: 0.9339 11: 0.9339 12: 0.9339 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [325, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.74082655206724:.4 CMC: 1: 0.9312 2: 0.9341 3: 0.9341 4: 0.9341 5: 0.9341 6: 0.9341 7: 0.9341 8: 0.9341 9: 0.9341 10: 0.9341 11: 0.9341 12: 0.9341 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [326, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7415670476327622:.4 CMC: 1: 0.9314 2: 0.9343 3: 0.9343 4: 0.9343 5: 0.9343 6: 0.9343 7: 0.9343 8: 0.9343 9: 0.9343 10: 0.9343 11: 0.9343 12: 0.9343 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [327, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7423033238503327:.4 CMC: 1: 0.9316 2: 0.9345 3: 0.9345 4: 0.9345 5: 0.9345 6: 0.9345 7: 0.9345 8: 0.9345 9: 0.9345 10: 0.9345 11: 0.9345 12: 0.9345 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [328, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7430354166803034:.4 CMC: 1: 0.9318 2: 0.9347 3: 0.9347 4: 0.9347 5: 0.9347 6: 0.9347 7: 0.9347 8: 0.9347 9: 0.9347 10: 0.9347 11: 0.9347 12: 0.9347 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [329, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7437633616755432:.4 CMC: 1: 0.932 2: 0.9348 3: 0.9348 4: 0.9348 5: 0.9348 6: 0.9348 7: 0.9348 8: 0.9348 9: 0.9348 10: 0.9348 11: 0.9348 12: 0.9348 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [330, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7444871939871943:.4 CMC: 1: 0.9322 2: 0.935 3: 0.935 4: 0.935 5: 0.935 6: 0.935 7: 0.935 8: 0.935 9: 0.935 10: 0.935 11: 0.935 12: 0.935 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [331, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.745206948370329:.4 CMC: 1: 0.9324 2: 0.9352 3: 0.9352 4: 0.9352 5: 0.9352 6: 0.9352 7: 0.9352 8: 0.9352 9: 0.9352 10: 0.9352 11: 0.9352 12: 0.9352 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [332, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7459226591895134:.4 CMC: 1: 0.9326 2: 0.9354 3: 0.9354 4: 0.9354 5: 0.9354 6: 0.9354 7: 0.9354 8: 0.9354 9: 0.9354 10: 0.9354 11: 0.9354 12: 0.9354 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [333, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7466343604242767:.4 CMC: 1: 0.9328 2: 0.9356 3: 0.9356 4: 0.9356 5: 0.9356 6: 0.9356 7: 0.9356 8: 0.9356 9: 0.9356 10: 0.9356 11: 0.9356 12: 0.9356 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [334, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7473420856744882:.4 CMC: 1: 0.933 2: 0.9358 3: 0.9358 4: 0.9358 5: 0.9358 6: 0.9358 7: 0.9358 8: 0.9358 9: 0.9358 10: 0.9358 11: 0.9358 12: 0.9358 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [335, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7480458681656456:.4 CMC: 1: 0.9331 2: 0.9359 3: 0.9359 4: 0.9359 5: 0.9359 6: 0.9359 7: 0.9359 8: 0.9359 9: 0.9359 10: 0.9359 11: 0.9359 12: 0.9359 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 35, 36, 37, 38, 39, 40, 41] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [336, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7487457407540744:.4 CMC: 1: 0.9333 2: 0.9361 3: 0.9361 4: 0.9361 5: 0.9361 6: 0.9361 7: 0.9361 8: 0.9361 9: 0.9361 10: 0.9361 11: 0.9361 12: 0.9361 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 38, 39, 40, 41] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [337, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7494417359320409:.4 CMC: 1: 0.9335 2: 0.9363 3: 0.9363 4: 0.9363 5: 0.9363 6: 0.9363 7: 0.9363 8: 0.9363 9: 0.9363 10: 0.9363 11: 0.9363 12: 0.9363 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [338, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7501338858327812:.4 CMC: 1: 0.9337 2: 0.9365 3: 0.9365 4: 0.9365 5: 0.9365 6: 0.9365 7: 0.9365 8: 0.9365 9: 0.9365 10: 0.9365 11: 0.9365 12: 0.9365 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [339, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7508222222354456:.4 CMC: 1: 0.9339 2: 0.9366 3: 0.9366 4: 0.9366 5: 0.9366 6: 0.9366 7: 0.9366 8: 0.9366 9: 0.9366 10: 0.9366 11: 0.9366 12: 0.9366 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [340, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7515067765699637:.4 CMC: 1: 0.9341 2: 0.9368 3: 0.9368 4: 0.9368 5: 0.9368 6: 0.9368 7: 0.9368 8: 0.9368 9: 0.9368 10: 0.9368 11: 0.9368 12: 0.9368 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 34, 35, 36, 37, 38, 41, 42, 43] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [341, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7521875799218267:.4 CMC: 1: 0.9342 2: 0.937 3: 0.937 4: 0.937 5: 0.937 6: 0.937 7: 0.937 8: 0.937 9: 0.937 10: 0.937 11: 0.937 12: 0.937 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [342, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7528646630367944:.4 CMC: 1: 0.9344 2: 0.9372 3: 0.9372 4: 0.9372 5: 0.9372 6: 0.9372 7: 0.9372 8: 0.9372 9: 0.9372 10: 0.9372 11: 0.9372 12: 0.9372 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 58, 59, 60, 62, 63, 64, 65, 66, 67] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [343, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7535380563255225:.4 CMC: 1: 0.9346 2: 0.9373 3: 0.9373 4: 0.9373 5: 0.9373 6: 0.9373 7: 0.9373 8: 0.9373 9: 0.9373 10: 0.9373 11: 0.9373 12: 0.9373 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 59, 60, 61] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [344, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7542077898681164:.4 CMC: 1: 0.9348 2: 0.9375 3: 0.9375 4: 0.9375 5: 0.9375 6: 0.9375 7: 0.9375 8: 0.9375 9: 0.9375 10: 0.9375 11: 0.9375 12: 0.9375 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 33, 34, 35, 36, 37, 38, 39] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [345, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7548738934186093:.4 CMC: 1: 0.935 2: 0.9377 3: 0.9377 4: 0.9377 5: 0.9377 6: 0.9377 7: 0.9377 8: 0.9377 9: 0.9377 10: 0.9377 11: 0.9377 12: 0.9377 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 44, 47, 48, 51, 54, 56, 63, 64, 65, 66, 67] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [346, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7555363964093698:.4 CMC: 1: 0.9351 2: 0.9378 3: 0.9378 4: 0.9378 5: 0.9378 6: 0.9378 7: 0.9378 8: 0.9378 9: 0.9378 10: 0.9378 11: 0.9378 12: 0.9378 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 56, 57, 58, 59, 60, 61] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [347, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7561953279554362:.4 CMC: 1: 0.9353 2: 0.938 3: 0.938 4: 0.938 5: 0.938 6: 0.938 7: 0.938 8: 0.938 9: 0.938 10: 0.938 11: 0.938 12: 0.938 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [348, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7568507168587818:.4 CMC: 1: 0.9355 2: 0.9382 3: 0.9382 4: 0.9382 5: 0.9382 6: 0.9382 7: 0.9382 8: 0.9382 9: 0.9382 10: 0.9382 11: 0.9382 12: 0.9382 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 0.875, 0.8, 0.75, 0.7692307692307693, 0.7857142857142857, 0.8] max_possible 12 AP 0.8864 nr: adding to 0 name_rank_counts [349, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7571980982952835:.4 CMC: 1: 0.9357 2: 0.9383 3: 0.9383 4: 0.9383 5: 0.9383 6: 0.9383 7: 0.9383 8: 0.9383 9: 0.9383 10: 0.9383 11: 0.9383 12: 0.9383 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 29] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [350, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7578473012410181:.4 CMC: 1: 0.9358 2: 0.9385 3: 0.9385 4: 0.9385 5: 0.9385 6: 0.9385 7: 0.9385 8: 0.9385 9: 0.9385 10: 0.9385 11: 0.9385 12: 0.9385 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [351, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.758493041771042:.4 CMC: 1: 0.936 2: 0.9387 3: 0.9387 4: 0.9387 5: 0.9387 6: 0.9387 7: 0.9387 8: 0.9387 9: 0.9387 10: 0.9387 11: 0.9387 12: 0.9387 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [352, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23] At the end mAP 0.7591353475110126:.4 CMC: 1: 0.9362 2: 0.9388 3: 0.9388 4: 0.9388 5: 0.9388 6: 0.9388 7: 0.9388 8: 0.9388 9: 0.9388 10: 0.9388 11: 0.9388 12: 0.9388 13: 1.0 ======================================== annot_ranks [] num_for_qnid 264 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [352, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7571217258995776:.4 CMC: 1: 0.9337 2: 0.9363 3: 0.9363 4: 0.9363 5: 0.9363 6: 0.9363 7: 0.9363 8: 0.9363 9: 0.9363 10: 0.9363 11: 0.9363 12: 0.9363 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 51, 66, 75] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [353, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7577642610162454:.4 CMC: 1: 0.9339 2: 0.9365 3: 0.9365 4: 0.9365 5: 0.9365 6: 0.9365 7: 0.9365 8: 0.9365 9: 0.9365 10: 0.9365 11: 0.9365 12: 0.9365 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 23, 24, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [354, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7584034054462817:.4 CMC: 1: 0.934 2: 0.9367 3: 0.9367 4: 0.9367 5: 0.9367 6: 0.9367 7: 0.9367 8: 0.9367 9: 0.9367 10: 0.9367 11: 0.9367 12: 0.9367 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 44, 60] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [355, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7590391859582651:.4 CMC: 1: 0.9342 2: 0.9368 3: 0.9368 4: 0.9368 5: 0.9368 6: 0.9368 7: 0.9368 8: 0.9368 9: 0.9368 10: 0.9368 11: 0.9368 12: 0.9368 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [356, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7596716290397395:.4 CMC: 1: 0.9344 2: 0.937 3: 0.937 4: 0.937 5: 0.937 6: 0.937 7: 0.937 8: 0.937 9: 0.937 10: 0.937 11: 0.937 12: 0.937 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [357, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.760300760900892:.4 CMC: 1: 0.9346 2: 0.9372 3: 0.9372 4: 0.9372 5: 0.9372 6: 0.9372 7: 0.9372 8: 0.9372 9: 0.9372 10: 0.9372 11: 0.9372 12: 0.9372 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [358, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7609266074781743:.4 CMC: 1: 0.9347 2: 0.9373 3: 0.9373 4: 0.9373 5: 0.9373 6: 0.9373 7: 0.9373 8: 0.9373 9: 0.9373 10: 0.9373 11: 0.9373 12: 0.9373 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [359, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7615491944378666:.4 CMC: 1: 0.9349 2: 0.9375 3: 0.9375 4: 0.9375 5: 0.9375 6: 0.9375 7: 0.9375 8: 0.9375 9: 0.9375 10: 0.9375 11: 0.9375 12: 0.9375 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [360, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7621685471795864:.4 CMC: 1: 0.9351 2: 0.9377 3: 0.9377 4: 0.9377 5: 0.9377 6: 0.9377 7: 0.9377 8: 0.9377 9: 0.9377 10: 0.9377 11: 0.9377 12: 0.9377 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [361, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7627846908397429:.4 CMC: 1: 0.9352 2: 0.9378 3: 0.9378 4: 0.9378 5: 0.9378 6: 0.9378 7: 0.9378 8: 0.9378 9: 0.9378 10: 0.9378 11: 0.9378 12: 0.9378 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [362, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7633976502949373:.4 CMC: 1: 0.9354 2: 0.938 3: 0.938 4: 0.938 5: 0.938 6: 0.938 7: 0.938 8: 0.938 9: 0.938 10: 0.938 11: 0.938 12: 0.938 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [363, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7640074501653112:.4 CMC: 1: 0.9356 2: 0.9381 3: 0.9381 4: 0.9381 5: 0.9381 6: 0.9381 7: 0.9381 8: 0.9381 9: 0.9381 10: 0.9381 11: 0.9381 12: 0.9381 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [364, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7646141148178426:.4 CMC: 1: 0.9357 2: 0.9383 3: 0.9383 4: 0.9383 5: 0.9383 6: 0.9383 7: 0.9383 8: 0.9383 9: 0.9383 10: 0.9383 11: 0.9383 12: 0.9383 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [365, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7652176683695917:.4 CMC: 1: 0.9359 2: 0.9385 3: 0.9385 4: 0.9385 5: 0.9385 6: 0.9385 7: 0.9385 8: 0.9385 9: 0.9385 10: 0.9385 11: 0.9385 12: 0.9385 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [366, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7658181346908971:.4 CMC: 1: 0.9361 2: 0.9386 3: 0.9386 4: 0.9386 5: 0.9386 6: 0.9386 7: 0.9386 8: 0.9386 9: 0.9386 10: 0.9386 11: 0.9386 12: 0.9386 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [367, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7664155374085224:.4 CMC: 1: 0.9362 2: 0.9388 3: 0.9388 4: 0.9388 5: 0.9388 6: 0.9388 7: 0.9388 8: 0.9388 9: 0.9388 10: 0.9388 11: 0.9388 12: 0.9388 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [368, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7670098999087551:.4 CMC: 1: 0.9364 2: 0.9389 3: 0.9389 4: 0.9389 5: 0.9389 6: 0.9389 7: 0.9389 8: 0.9389 9: 0.9389 10: 0.9389 11: 0.9389 12: 0.9389 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [369, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7676012453404588:.4 CMC: 1: 0.9365 2: 0.9391 3: 0.9391 4: 0.9391 5: 0.9391 6: 0.9391 7: 0.9391 8: 0.9391 9: 0.9391 10: 0.9391 11: 0.9391 12: 0.9391 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [370, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7681895966180778:.4 CMC: 1: 0.9367 2: 0.9392 3: 0.9392 4: 0.9392 5: 0.9392 6: 0.9392 7: 0.9392 8: 0.9392 9: 0.9392 10: 0.9392 11: 0.9392 12: 0.9392 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 60, 62, 63, 64, 65] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [371, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7687749764245979:.4 CMC: 1: 0.9369 2: 0.9394 3: 0.9394 4: 0.9394 5: 0.9394 6: 0.9394 7: 0.9394 8: 0.9394 9: 0.9394 10: 0.9394 11: 0.9394 12: 0.9394 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [372, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7693574072144603:.4 CMC: 1: 0.937 2: 0.9395 3: 0.9395 4: 0.9395 5: 0.9395 6: 0.9395 7: 0.9395 8: 0.9395 9: 0.9395 10: 0.9395 11: 0.9395 12: 0.9395 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [373, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.769936911216434:.4 CMC: 1: 0.9372 2: 0.9397 3: 0.9397 4: 0.9397 5: 0.9397 6: 0.9397 7: 0.9397 8: 0.9397 9: 0.9397 10: 0.9397 11: 0.9397 12: 0.9397 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [374, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.770513510436443:.4 CMC: 1: 0.9373 2: 0.9398 3: 0.9398 4: 0.9398 5: 0.9398 6: 0.9398 7: 0.9398 8: 0.9398 9: 0.9398 10: 0.9398 11: 0.9398 12: 0.9398 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 60, 61, 65, 66, 67, 69, 73, 74, 75, 76] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [375, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7710872266603519:.4 CMC: 1: 0.9375 2: 0.94 3: 0.94 4: 0.94 5: 0.94 6: 0.94 7: 0.94 8: 0.94 9: 0.94 10: 0.94 11: 0.94 12: 0.94 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [376, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7716580814567101:.4 CMC: 1: 0.9377 2: 0.9401 3: 0.9401 4: 0.9401 5: 0.9401 6: 0.9401 7: 0.9401 8: 0.9401 9: 0.9401 10: 0.9401 11: 0.9401 12: 0.9401 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 21, 22, 25, 28, 30, 31, 35] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [377, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7722260961794546:.4 CMC: 1: 0.9378 2: 0.9403 3: 0.9403 4: 0.9403 5: 0.9403 6: 0.9403 7: 0.9403 8: 0.9403 9: 0.9403 10: 0.9403 11: 0.9403 12: 0.9403 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [378, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7727912919705726:.4 CMC: 1: 0.938 2: 0.9404 3: 0.9404 4: 0.9404 5: 0.9404 6: 0.9404 7: 0.9404 8: 0.9404 9: 0.9404 10: 0.9404 11: 0.9404 12: 0.9404 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 32, 36, 38, 39, 40] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [379, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24] At the end mAP 0.7733536897627247:.4 CMC: 1: 0.9381 2: 0.9406 3: 0.9406 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [] num_for_qnid 264 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [379, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7714441744793599:.4 CMC: 1: 0.9358 2: 0.9383 3: 0.9383 4: 0.9383 5: 0.9383 6: 0.9383 7: 0.9383 8: 0.9383 9: 0.9383 10: 0.9383 11: 0.9383 12: 0.9383 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [380, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7720071198624157:.4 CMC: 1: 0.936 2: 0.9384 3: 0.9384 4: 0.9384 5: 0.9384 6: 0.9384 7: 0.9384 8: 0.9384 9: 0.9384 10: 0.9384 11: 0.9384 12: 0.9384 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [381, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7725672989290928:.4 CMC: 1: 0.9361 2: 0.9386 3: 0.9386 4: 0.9386 5: 0.9386 6: 0.9386 7: 0.9386 8: 0.9386 9: 0.9386 10: 0.9386 11: 0.9386 12: 0.9386 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [382, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7731247320199529:.4 CMC: 1: 0.9363 2: 0.9387 3: 0.9387 4: 0.9387 5: 0.9387 6: 0.9387 7: 0.9387 8: 0.9387 9: 0.9387 10: 0.9387 11: 0.9387 12: 0.9387 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 32, 33] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [383, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7736794392766277:.4 CMC: 1: 0.9364 2: 0.9389 3: 0.9389 4: 0.9389 5: 0.9389 6: 0.9389 7: 0.9389 8: 0.9389 9: 0.9389 10: 0.9389 11: 0.9389 12: 0.9389 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 39, 40] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [384, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7742314406442458:.4 CMC: 1: 0.9366 2: 0.939 3: 0.939 4: 0.939 5: 0.939 6: 0.939 7: 0.939 8: 0.939 9: 0.939 10: 0.939 11: 0.939 12: 0.939 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 23] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [385, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7747807558738218:.4 CMC: 1: 0.9367 2: 0.9392 3: 0.9392 4: 0.9392 5: 0.9392 6: 0.9392 7: 0.9392 8: 0.9392 9: 0.9392 10: 0.9392 11: 0.9392 12: 0.9392 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [386, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7753274045246135:.4 CMC: 1: 0.9369 2: 0.9393 3: 0.9393 4: 0.9393 5: 0.9393 6: 0.9393 7: 0.9393 8: 0.9393 9: 0.9393 10: 0.9393 11: 0.9393 12: 0.9393 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 29, 32, 33] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [387, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7758714059664426:.4 CMC: 1: 0.937 2: 0.9395 3: 0.9395 4: 0.9395 5: 0.9395 6: 0.9395 7: 0.9395 8: 0.9395 9: 0.9395 10: 0.9395 11: 0.9395 12: 0.9395 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 52, 54, 55, 57, 58, 63, 64, 65, 71, 72, 73] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [388, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7764127793819825:.4 CMC: 1: 0.9372 2: 0.9396 3: 0.9396 4: 0.9396 5: 0.9396 6: 0.9396 7: 0.9396 8: 0.9396 9: 0.9396 10: 0.9396 11: 0.9396 12: 0.9396 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [389, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7769360973680253:.4 CMC: 1: 0.9373 2: 0.9398 3: 0.9398 4: 0.9398 5: 0.9398 6: 0.9398 7: 0.9398 8: 0.9398 9: 0.9398 10: 0.9398 11: 0.9398 12: 0.9398 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 36, 37, 40, 41, 42, 43, 46, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [390, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7774723086724291:.4 CMC: 1: 0.9375 2: 0.9399 3: 0.9399 4: 0.9399 5: 0.9399 6: 0.9399 7: 0.9399 8: 0.9399 9: 0.9399 10: 0.9399 11: 0.9399 12: 0.9399 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 10] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7272727272727273] max_possible 12 AP 0.6439 nr: adding to 0 name_rank_counts [391, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7771520858553236:.4 CMC: 1: 0.9376 2: 0.94 3: 0.94 4: 0.94 5: 0.94 6: 0.94 7: 0.94 8: 0.94 9: 0.94 10: 0.94 11: 0.94 12: 0.94 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [392, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7764890425877271:.4 CMC: 1: 0.9378 2: 0.9402 3: 0.9402 4: 0.9402 5: 0.9402 6: 0.9402 7: 0.9402 8: 0.9402 9: 0.9402 10: 0.9402 11: 0.9402 12: 0.9402 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [393, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7762269366786076:.4 CMC: 1: 0.9379 2: 0.9403 3: 0.9403 4: 0.9403 5: 0.9403 6: 0.9403 7: 0.9403 8: 0.9403 9: 0.9403 10: 0.9403 11: 0.9403 12: 0.9403 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [394, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7757676661944521:.4 CMC: 1: 0.9381 2: 0.9405 3: 0.9405 4: 0.9405 5: 0.9405 6: 0.9405 7: 0.9405 8: 0.9405 9: 0.9405 10: 0.9405 11: 0.9405 12: 0.9405 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [395, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.775904401745851:.4 CMC: 1: 0.9382 2: 0.9406 3: 0.9406 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [396, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7762379616153315:.4 CMC: 1: 0.9384 2: 0.9408 3: 0.9408 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [397, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7761759333372812:.4 CMC: 1: 0.9385 2: 0.9409 3: 0.9409 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [398, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25] At the end mAP 0.7751314932429322:.4 CMC: 1: 0.9387 2: 0.941 3: 0.941 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [] num_for_qnid 37 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [398, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7733076544353017:.4 CMC: 1: 0.9365 2: 0.9388 3: 0.9388 4: 0.9388 5: 0.9388 6: 0.9388 7: 0.9388 8: 0.9388 9: 0.9388 10: 0.9388 11: 0.9388 12: 0.9388 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [399, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7732333798161266:.4 CMC: 1: 0.9366 2: 0.939 3: 0.939 4: 0.939 5: 0.939 6: 0.939 7: 0.939 8: 0.939 9: 0.939 10: 0.939 11: 0.939 12: 0.939 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [400, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7731789690905618:.4 CMC: 1: 0.9368 2: 0.9391 3: 0.9391 4: 0.9391 5: 0.9391 6: 0.9391 7: 0.9391 8: 0.9391 9: 0.9391 10: 0.9391 11: 0.9391 12: 0.9391 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 18, 19] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.42105263157894735, 0.45] max_possible 12 AP 0.6559 nr: adding to 0 name_rank_counts [401, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7729050019960315:.4 CMC: 1: 0.9369 2: 0.9393 3: 0.9393 4: 0.9393 5: 0.9393 6: 0.9393 7: 0.9393 8: 0.9393 9: 0.9393 10: 0.9393 11: 0.9393 12: 0.9393 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [402, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7722688598002366:.4 CMC: 1: 0.9371 2: 0.9394 3: 0.9394 4: 0.9394 5: 0.9394 6: 0.9394 7: 0.9394 8: 0.9394 9: 0.9394 10: 0.9394 11: 0.9394 12: 0.9394 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [403, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7720232733045772:.4 CMC: 1: 0.9372 2: 0.9395 3: 0.9395 4: 0.9395 5: 0.9395 6: 0.9395 7: 0.9395 8: 0.9395 9: 0.9395 10: 0.9395 11: 0.9395 12: 0.9395 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [404, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7717788264214266:.4 CMC: 1: 0.9374 2: 0.9397 3: 0.9397 4: 0.9397 5: 0.9397 6: 0.9397 7: 0.9397 8: 0.9397 9: 0.9397 10: 0.9397 11: 0.9397 12: 0.9397 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [405, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.771535511236809:.4 CMC: 1: 0.9375 2: 0.9398 3: 0.9398 4: 0.9398 5: 0.9398 6: 0.9398 7: 0.9398 8: 0.9398 9: 0.9398 10: 0.9398 11: 0.9398 12: 0.9398 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [406, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7712933199098571:.4 CMC: 1: 0.9376 2: 0.94 3: 0.94 4: 0.94 5: 0.94 6: 0.94 7: 0.94 8: 0.94 9: 0.94 10: 0.94 11: 0.94 12: 0.94 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [407, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.771244256960756:.4 CMC: 1: 0.9378 2: 0.9401 3: 0.9401 4: 0.9401 5: 0.9401 6: 0.9401 7: 0.9401 8: 0.9401 9: 0.9401 10: 0.9401 11: 0.9401 12: 0.9401 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [408, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7710038487072065:.4 CMC: 1: 0.9379 2: 0.9402 3: 0.9402 4: 0.9402 5: 0.9402 6: 0.9402 7: 0.9402 8: 0.9402 9: 0.9402 10: 0.9402 11: 0.9402 12: 0.9402 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [409, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7707645432438107:.4 CMC: 1: 0.9381 2: 0.9404 3: 0.9404 4: 0.9404 5: 0.9404 6: 0.9404 7: 0.9404 8: 0.9404 9: 0.9404 10: 0.9404 11: 0.9404 12: 0.9404 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [410, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.770526332999927:.4 CMC: 1: 0.9382 2: 0.9405 3: 0.9405 4: 0.9405 5: 0.9405 6: 0.9405 7: 0.9405 8: 0.9405 9: 0.9405 10: 0.9405 11: 0.9405 12: 0.9405 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [411, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7702892104740521:.4 CMC: 1: 0.9384 2: 0.9406 3: 0.9406 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [0, 1, 12] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 0.23076923076923078] max_possible 12 AP 0.1859 nr: adding to 0 name_rank_counts [412, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7689580219214858:.4 CMC: 1: 0.9385 2: 0.9408 3: 0.9408 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [413, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7675891779322702:.4 CMC: 1: 0.9386 2: 0.9409 3: 0.9409 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [414, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7662265418523029:.4 CMC: 1: 0.9388 2: 0.941 3: 0.941 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [415, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7661898302191529:.4 CMC: 1: 0.9389 2: 0.9412 3: 0.9412 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [416, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7663413956889366:.4 CMC: 1: 0.9391 2: 0.9413 3: 0.9413 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [417, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7664922784313789:.4 CMC: 1: 0.9392 2: 0.9414 3: 0.9414 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [418, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7666424830491362:.4 CMC: 1: 0.9393 2: 0.9416 3: 0.9416 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [419, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.766792014103585:.4 CMC: 1: 0.9395 2: 0.9417 3: 0.9417 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [420, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7669408761152846:.4 CMC: 1: 0.9396 2: 0.9418 3: 0.9418 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [421, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7670890735644321:.4 CMC: 1: 0.9397 2: 0.942 3: 0.942 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [422, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7674222085156619:.4 CMC: 1: 0.9399 2: 0.9421 3: 0.9421 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666] max_possible 12 AP 0.9097 nr: adding to 0 name_rank_counts [423, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7677384307683434:.4 CMC: 1: 0.94 2: 0.9422 3: 0.9422 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [424, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7678838740112811:.4 CMC: 1: 0.9401 2: 0.9424 3: 0.9424 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11] num_for_qnid 37 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666] max_possible 12 AP 0.9097 nr: adding to 0 name_rank_counts [425, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 26] At the end mAP 0.7681976756666151:.4 CMC: 1: 0.9403 2: 0.9425 3: 0.9425 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [] num_for_qnid 37 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [425, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7665018750580795:.4 CMC: 1: 0.9382 2: 0.9404 3: 0.9404 4: 0.9404 5: 0.9404 6: 0.9404 7: 0.9404 8: 0.9404 9: 0.9404 10: 0.9404 11: 0.9404 12: 0.9404 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 37 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [426, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7649970985344567:.4 CMC: 1: 0.9383 2: 0.9405 3: 0.9405 4: 0.9405 5: 0.9405 6: 0.9405 7: 0.9405 8: 0.9405 9: 0.9405 10: 0.9405 11: 0.9405 12: 0.9405 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 14] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.4] max_possible 12 AP 0.45 nr: adding to 0 name_rank_counts [427, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7643047972189964:.4 CMC: 1: 0.9385 2: 0.9407 3: 0.9407 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6, 7, 8, 9] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 0.875, 0.8888888888888888, 0.9] max_possible 12 AP 0.7101 nr: adding to 0 name_rank_counts [428, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7641858963014898:.4 CMC: 1: 0.9386 2: 0.9408 3: 0.9408 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [429, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7645195522541487:.4 CMC: 1: 0.9387 2: 0.9409 3: 0.9409 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 35 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [430, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7630322460992999:.4 CMC: 1: 0.9389 2: 0.941 3: 0.941 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [431, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7635485157156413:.4 CMC: 1: 0.939 2: 0.9412 3: 0.9412 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [432, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7631567435800275:.4 CMC: 1: 0.9391 2: 0.9413 3: 0.9413 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 19] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.25] max_possible 12 AP 0.3542 nr: adding to 0 name_rank_counts [433, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7622695633698033:.4 CMC: 1: 0.9393 2: 0.9414 3: 0.9414 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 15] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.375] max_possible 12 AP 0.4479 nr: adding to 0 name_rank_counts [434, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7615891458444718:.4 CMC: 1: 0.9394 2: 0.9416 3: 0.9416 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [435, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7610241584884362:.4 CMC: 1: 0.9395 2: 0.9417 3: 0.9417 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 11, 15] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.4166666666666667, 0.375] max_possible 12 AP 0.3993 nr: adding to 0 name_rank_counts [436, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7602445925338396:.4 CMC: 1: 0.9397 2: 0.9418 3: 0.9418 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [437, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7591472923348421:.4 CMC: 1: 0.9398 2: 0.9419 3: 0.9419 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 7] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 0.375] max_possible 12 AP 0.1979 nr: adding to 0 name_rank_counts [438, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7579429347690306:.4 CMC: 1: 0.9399 2: 0.9421 3: 0.9421 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 16, 23] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6470588235294118, 0.5] max_possible 12 AP 0.9289 nr: adding to 0 name_rank_counts [439, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7583090560406759:.4 CMC: 1: 0.94 2: 0.9422 3: 0.9422 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 13] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 12 AP 0.9881 nr: adding to 0 name_rank_counts [440, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7588000521561773:.4 CMC: 1: 0.9402 2: 0.9423 3: 0.9423 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [441, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7577151906377205:.4 CMC: 1: 0.9403 2: 0.9424 3: 0.9424 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 35 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [442, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7562803356221793:.4 CMC: 1: 0.9404 2: 0.9426 3: 0.9426 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [443, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.755205430451007:.4 CMC: 1: 0.9406 2: 0.9427 3: 0.9427 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 21, 26] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.5454545454545454] max_possible 12 AP 0.9552 nr: adding to 0 name_rank_counts [444, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7556290985383496:.4 CMC: 1: 0.9407 2: 0.9428 3: 0.9428 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 18] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9791 nr: adding to 0 name_rank_counts [445, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7561014884813331:.4 CMC: 1: 0.9408 2: 0.9429 3: 0.9429 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9, 14, 16, 17] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9, 0.6666666666666666, 0.6470588235294118, 0.6666666666666666] max_possible 12 AP 0.9067 nr: adding to 0 name_rank_counts [446, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7564192054811726:.4 CMC: 1: 0.9409 2: 0.943 3: 0.943 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 39, 42, 46, 51, 52] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [447, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7569320071538438:.4 CMC: 1: 0.9411 2: 0.9432 3: 0.9432 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 39, 41, 42, 46, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [448, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7574426541976382:.4 CMC: 1: 0.9412 2: 0.9433 3: 0.9433 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 37, 38, 39, 40, 42, 43] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [449, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7579511601636809:.4 CMC: 1: 0.9413 2: 0.9434 3: 0.9434 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 64] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [450, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7584575384896983:.4 CMC: 1: 0.9414 2: 0.9435 3: 0.9435 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 63, 65, 68, 70] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [451, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.758961802501202:.4 CMC: 1: 0.9415 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 65, 68, 71, 83, 84, 85] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [452, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7594639654126579:.4 CMC: 1: 0.9417 2: 0.9437 3: 0.9437 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 56] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [453, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7599640403286398:.4 CMC: 1: 0.9418 2: 0.9439 3: 0.9439 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [454, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7604620402449705:.4 CMC: 1: 0.9419 2: 0.944 3: 0.944 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [455, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7609579780498463:.4 CMC: 1: 0.942 2: 0.9441 3: 0.9441 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [456, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.76145186652495:.4 CMC: 1: 0.9421 2: 0.9442 3: 0.9442 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [457, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7619437183465481:.4 CMC: 1: 0.9423 2: 0.9443 3: 0.9443 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 27, 28, 29] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [458, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7624335460865757:.4 CMC: 1: 0.9424 2: 0.9444 3: 0.9444 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [459, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.762921362213708:.4 CMC: 1: 0.9425 2: 0.9446 3: 0.9446 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 13, 16, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9166666666666666, 0.8571428571428571] max_possible 12 AP 0.9736 nr: adding to 0 name_rank_counts [460, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7633530295781781:.4 CMC: 1: 0.9426 2: 0.9447 3: 0.9447 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [461, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7638369702129874:.4 CMC: 1: 0.9427 2: 0.9448 3: 0.9448 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 44, 45, 46] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [462, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7643189355798996:.4 CMC: 1: 0.9429 2: 0.9449 3: 0.9449 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 264 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [463, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7629319995264443:.4 CMC: 1: 0.943 2: 0.945 3: 0.945 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 38, 39, 40, 46, 47, 48] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [464, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7634138450558621:.4 CMC: 1: 0.9431 2: 0.9451 3: 0.9451 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [465, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7638937358366819:.4 CMC: 1: 0.9432 2: 0.9452 3: 0.9452 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 49, 53, 54, 55, 56] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [466, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7643716837398464:.4 CMC: 1: 0.9433 2: 0.9453 3: 0.9453 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 50, 51, 56, 59, 63] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [467, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.764847700540372:.4 CMC: 1: 0.9434 2: 0.9455 3: 0.9455 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 21, 22, 23] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [468, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7653217979183148:.4 CMC: 1: 0.9435 2: 0.9456 3: 0.9456 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [469, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7657939874597266:.4 CMC: 1: 0.9437 2: 0.9457 3: 0.9457 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7142857142857143, 0.7333333333333333] max_possible 12 AP 0.8706 nr: adding to 0 name_rank_counts [470, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7660045114219259:.4 CMC: 1: 0.9438 2: 0.9458 3: 0.9458 4: 0.9458 5: 0.9458 6: 0.9458 7: 0.9458 8: 0.9458 9: 0.9458 10: 0.9458 11: 0.9458 12: 0.9458 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [471, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7664734402567518:.4 CMC: 1: 0.9439 2: 0.9459 3: 0.9459 4: 0.9459 5: 0.9459 6: 0.9459 7: 0.9459 8: 0.9459 9: 0.9459 10: 0.9459 11: 0.9459 12: 0.9459 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 36, 37, 38, 39, 41, 42, 44, 45] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [472, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7669404933762383:.4 CMC: 1: 0.944 2: 0.946 3: 0.946 4: 0.946 5: 0.946 6: 0.946 7: 0.946 8: 0.946 9: 0.946 10: 0.946 11: 0.946 12: 0.946 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [473, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7674056820122138:.4 CMC: 1: 0.9441 2: 0.9461 3: 0.9461 4: 0.9461 5: 0.9461 6: 0.9461 7: 0.9461 8: 0.9461 9: 0.9461 10: 0.9461 11: 0.9461 12: 0.9461 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [474, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7678690173070102:.4 CMC: 1: 0.9442 2: 0.9462 3: 0.9462 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 40, 42, 43, 44, 47, 48, 50, 52, 53, 55, 66, 67] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [475, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7683305103143522:.4 CMC: 1: 0.9443 2: 0.9463 3: 0.9463 4: 0.9463 5: 0.9463 6: 0.9463 7: 0.9463 8: 0.9463 9: 0.9463 10: 0.9463 11: 0.9463 12: 0.9463 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 42, 43, 44] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [476, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7687901720002364:.4 CMC: 1: 0.9444 2: 0.9464 3: 0.9464 4: 0.9464 5: 0.9464 6: 0.9464 7: 0.9464 8: 0.9464 9: 0.9464 10: 0.9464 11: 0.9464 12: 0.9464 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [477, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7687529637388497:.4 CMC: 1: 0.9446 2: 0.9465 3: 0.9465 4: 0.9465 5: 0.9465 6: 0.9465 7: 0.9465 8: 0.9465 9: 0.9465 10: 0.9465 11: 0.9465 12: 0.9465 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [478, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.769209973691935:.4 CMC: 1: 0.9447 2: 0.9466 3: 0.9466 4: 0.9466 5: 0.9466 6: 0.9466 7: 0.9466 8: 0.9466 9: 0.9466 10: 0.9466 11: 0.9466 12: 0.9466 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [479, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7696651808444164:.4 CMC: 1: 0.9448 2: 0.9467 3: 0.9467 4: 0.9467 5: 0.9467 6: 0.9467 7: 0.9467 8: 0.9467 9: 0.9467 10: 0.9467 11: 0.9467 12: 0.9467 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [480, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7701185958427542:.4 CMC: 1: 0.9449 2: 0.9469 3: 0.9469 4: 0.9469 5: 0.9469 6: 0.9469 7: 0.9469 8: 0.9469 9: 0.9469 10: 0.9469 11: 0.9469 12: 0.9469 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [481, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7705702292497428:.4 CMC: 1: 0.945 2: 0.947 3: 0.947 4: 0.947 5: 0.947 6: 0.947 7: 0.947 8: 0.947 9: 0.947 10: 0.947 11: 0.947 12: 0.947 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [482, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7710200915453316:.4 CMC: 1: 0.9451 2: 0.9471 3: 0.9471 4: 0.9471 5: 0.9471 6: 0.9471 7: 0.9471 8: 0.9471 9: 0.9471 10: 0.9471 11: 0.9471 12: 0.9471 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [483, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7714681931274346:.4 CMC: 1: 0.9452 2: 0.9472 3: 0.9472 4: 0.9472 5: 0.9472 6: 0.9472 7: 0.9472 8: 0.9472 9: 0.9472 10: 0.9472 11: 0.9472 12: 0.9472 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [484, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7719145443127327:.4 CMC: 1: 0.9453 2: 0.9473 3: 0.9473 4: 0.9473 5: 0.9473 6: 0.9473 7: 0.9473 8: 0.9473 9: 0.9473 10: 0.9473 11: 0.9473 12: 0.9473 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [485, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7723591553374641:.4 CMC: 1: 0.9454 2: 0.9474 3: 0.9474 4: 0.9474 5: 0.9474 6: 0.9474 7: 0.9474 8: 0.9474 9: 0.9474 10: 0.9474 11: 0.9474 12: 0.9474 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [486, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7728020363582084:.4 CMC: 1: 0.9455 2: 0.9475 3: 0.9475 4: 0.9475 5: 0.9475 6: 0.9475 7: 0.9475 8: 0.9475 9: 0.9475 10: 0.9475 11: 0.9475 12: 0.9475 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [487, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7732431974526585:.4 CMC: 1: 0.9456 2: 0.9476 3: 0.9476 4: 0.9476 5: 0.9476 6: 0.9476 7: 0.9476 8: 0.9476 9: 0.9476 10: 0.9476 11: 0.9476 12: 0.9476 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 20] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [488, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7736702256428466:.4 CMC: 1: 0.9457 2: 0.9477 3: 0.9477 4: 0.9477 5: 0.9477 6: 0.9477 7: 0.9477 8: 0.9477 9: 0.9477 10: 0.9477 11: 0.9477 12: 0.9477 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [489, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7739468145036276:.4 CMC: 1: 0.9458 2: 0.9478 3: 0.9478 4: 0.9478 5: 0.9478 6: 0.9478 7: 0.9478 8: 0.9478 9: 0.9478 10: 0.9478 11: 0.9478 12: 0.9478 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [490, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7743708356022494:.4 CMC: 1: 0.9459 2: 0.9479 3: 0.9479 4: 0.9479 5: 0.9479 6: 0.9479 7: 0.9479 8: 0.9479 9: 0.9479 10: 0.9479 11: 0.9479 12: 0.9479 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [491, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27] At the end mAP 0.7748055738766189:.4 CMC: 1: 0.9461 2: 0.948 3: 0.948 4: 0.948 5: 0.948 6: 0.948 7: 0.948 8: 0.948 9: 0.948 10: 0.948 11: 0.948 12: 0.948 13: 1.0 ======================================== annot_ranks [] num_for_qnid 264 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [491, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7733155631576254:.4 CMC: 1: 0.9442 2: 0.9462 3: 0.9462 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 264 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [492, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7719912210658322:.4 CMC: 1: 0.9443 2: 0.9463 3: 0.9463 4: 0.9463 5: 0.9463 6: 0.9463 7: 0.9463 8: 0.9463 9: 0.9463 10: 0.9463 11: 0.9463 12: 0.9463 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 264 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [493, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7706719530816704:.4 CMC: 1: 0.9444 2: 0.9464 3: 0.9464 4: 0.9464 5: 0.9464 6: 0.9464 7: 0.9464 8: 0.9464 9: 0.9464 10: 0.9464 11: 0.9464 12: 0.9464 13: 1.0 ======================================== annot_ranks [0, 9] num_for_qnid 264 name_ranks [0] precisions [1.0, 0.2] max_possible 12 AP 0.1 nr: adding to 0 name_rank_counts [494, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7693895975308449:.4 CMC: 1: 0.9446 2: 0.9465 3: 0.9465 4: 0.9465 5: 0.9465 6: 0.9465 7: 0.9465 8: 0.9465 9: 0.9465 10: 0.9465 11: 0.9465 12: 0.9465 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 264 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [495, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7680803298510787:.4 CMC: 1: 0.9447 2: 0.9466 3: 0.9466 4: 0.9466 5: 0.9466 6: 0.9466 7: 0.9466 8: 0.9466 9: 0.9466 10: 0.9466 11: 0.9466 12: 0.9466 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [496, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7685220816037432:.4 CMC: 1: 0.9448 2: 0.9467 3: 0.9467 4: 0.9467 5: 0.9467 6: 0.9467 7: 0.9467 8: 0.9467 9: 0.9467 10: 0.9467 11: 0.9467 12: 0.9467 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [497, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7689621536919491:.4 CMC: 1: 0.9449 2: 0.9468 3: 0.9468 4: 0.9468 5: 0.9468 6: 0.9468 7: 0.9468 8: 0.9468 9: 0.9468 10: 0.9468 11: 0.9468 12: 0.9468 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [498, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7694005556773533:.4 CMC: 1: 0.945 2: 0.9469 3: 0.9469 4: 0.9469 5: 0.9469 6: 0.9469 7: 0.9469 8: 0.9469 9: 0.9469 10: 0.9469 11: 0.9469 12: 0.9469 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [499, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7698372970491766:.4 CMC: 1: 0.9451 2: 0.947 3: 0.947 4: 0.947 5: 0.947 6: 0.947 7: 0.947 8: 0.947 9: 0.947 10: 0.947 11: 0.947 12: 0.947 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [500, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.770272387224887:.4 CMC: 1: 0.9452 2: 0.9471 3: 0.9471 4: 0.9471 5: 0.9471 6: 0.9471 7: 0.9471 8: 0.9471 9: 0.9471 10: 0.9471 11: 0.9471 12: 0.9471 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [501, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7707058355508778:.4 CMC: 1: 0.9453 2: 0.9472 3: 0.9472 4: 0.9472 5: 0.9472 6: 0.9472 7: 0.9472 8: 0.9472 9: 0.9472 10: 0.9472 11: 0.9472 12: 0.9472 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [502, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.771137651303136:.4 CMC: 1: 0.9454 2: 0.9473 3: 0.9473 4: 0.9473 5: 0.9473 6: 0.9473 7: 0.9473 8: 0.9473 9: 0.9473 10: 0.9473 11: 0.9473 12: 0.9473 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 49, 50, 51, 52, 56] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [503, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7715678436879045:.4 CMC: 1: 0.9455 2: 0.9474 3: 0.9474 4: 0.9474 5: 0.9474 6: 0.9474 7: 0.9474 8: 0.9474 9: 0.9474 10: 0.9474 11: 0.9474 12: 0.9474 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 49, 50, 51, 54] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [504, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7719964218423362:.4 CMC: 1: 0.9456 2: 0.9475 3: 0.9475 4: 0.9475 5: 0.9475 6: 0.9475 7: 0.9475 8: 0.9475 9: 0.9475 10: 0.9475 11: 0.9475 12: 0.9475 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61, 62, 63, 64, 66, 67, 68] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [505, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7724233948351409:.4 CMC: 1: 0.9457 2: 0.9476 3: 0.9476 4: 0.9476 5: 0.9476 6: 0.9476 7: 0.9476 8: 0.9476 9: 0.9476 10: 0.9476 11: 0.9476 12: 0.9476 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [506, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7728487716672247:.4 CMC: 1: 0.9458 2: 0.9477 3: 0.9477 4: 0.9477 5: 0.9477 6: 0.9477 7: 0.9477 8: 0.9477 9: 0.9477 10: 0.9477 11: 0.9477 12: 0.9477 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 58, 59, 60] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [507, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7732725612723231:.4 CMC: 1: 0.9459 2: 0.9478 3: 0.9478 4: 0.9478 5: 0.9478 6: 0.9478 7: 0.9478 8: 0.9478 9: 0.9478 10: 0.9478 11: 0.9478 12: 0.9478 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [508, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7736947725176261:.4 CMC: 1: 0.946 2: 0.9479 3: 0.9479 4: 0.9479 5: 0.9479 6: 0.9479 7: 0.9479 8: 0.9479 9: 0.9479 10: 0.9479 11: 0.9479 12: 0.9479 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 53, 54, 55, 57, 59, 60, 61, 63, 64, 74, 75, 76, 77, 78, 79, 80, 81, 82] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [509, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7741154142043963:.4 CMC: 1: 0.9461 2: 0.948 3: 0.948 4: 0.948 5: 0.948 6: 0.948 7: 0.948 8: 0.948 9: 0.948 10: 0.948 11: 0.948 12: 0.948 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 39, 40, 41, 45, 47, 48] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [510, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7745344950685811:.4 CMC: 1: 0.9462 2: 0.9481 3: 0.9481 4: 0.9481 5: 0.9481 6: 0.9481 7: 0.9481 8: 0.9481 9: 0.9481 10: 0.9481 11: 0.9481 12: 0.9481 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 28, 31, 32, 33, 34, 35, 36, 37] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [511, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.774952023781417:.4 CMC: 1: 0.9463 2: 0.9481 3: 0.9481 4: 0.9481 5: 0.9481 6: 0.9481 7: 0.9481 8: 0.9481 9: 0.9481 10: 0.9481 11: 0.9481 12: 0.9481 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 52] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [512, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7753680089500281:.4 CMC: 1: 0.9464 2: 0.9482 3: 0.9482 4: 0.9482 5: 0.9482 6: 0.9482 7: 0.9482 8: 0.9482 9: 0.9482 10: 0.9482 11: 0.9482 12: 0.9482 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [513, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.775782459118017:.4 CMC: 1: 0.9465 2: 0.9483 3: 0.9483 4: 0.9483 5: 0.9483 6: 0.9483 7: 0.9483 8: 0.9483 9: 0.9483 10: 0.9483 11: 0.9483 12: 0.9483 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [514, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.775888445995025:.4 CMC: 1: 0.9466 2: 0.9484 3: 0.9484 4: 0.9484 5: 0.9484 6: 0.9484 7: 0.9484 8: 0.9484 9: 0.9484 10: 0.9484 11: 0.9484 12: 0.9484 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [515, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7763004157634166:.4 CMC: 1: 0.9467 2: 0.9485 3: 0.9485 4: 0.9485 5: 0.9485 6: 0.9485 7: 0.9485 8: 0.9485 9: 0.9485 10: 0.9485 11: 0.9485 12: 0.9485 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [516, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7767108737161442:.4 CMC: 1: 0.9468 2: 0.9486 3: 0.9486 4: 0.9486 5: 0.9486 6: 0.9486 7: 0.9486 8: 0.9486 9: 0.9486 10: 0.9486 11: 0.9486 12: 0.9486 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [517, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7771198281598876:.4 CMC: 1: 0.9469 2: 0.9487 3: 0.9487 4: 0.9487 5: 0.9487 6: 0.9487 7: 0.9487 8: 0.9487 9: 0.9487 10: 0.9487 11: 0.9487 12: 0.9487 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [518, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7772225950797659:.4 CMC: 1: 0.947 2: 0.9488 3: 0.9488 4: 0.9488 5: 0.9488 6: 0.9488 7: 0.9488 8: 0.9488 9: 0.9488 10: 0.9488 11: 0.9488 12: 0.9488 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [519, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7776291231909342:.4 CMC: 1: 0.9471 2: 0.9489 3: 0.9489 4: 0.9489 5: 0.9489 6: 0.9489 7: 0.9489 8: 0.9489 9: 0.9489 10: 0.9489 11: 0.9489 12: 0.9489 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [520, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.778034170325377:.4 CMC: 1: 0.9472 2: 0.949 3: 0.949 4: 0.949 5: 0.949 6: 0.949 7: 0.949 8: 0.949 9: 0.949 10: 0.949 11: 0.949 12: 0.949 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [521, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.778437744561149:.4 CMC: 1: 0.9473 2: 0.9491 3: 0.9491 4: 0.9491 5: 0.9491 6: 0.9491 7: 0.9491 8: 0.9491 9: 0.9491 10: 0.9491 11: 0.9491 12: 0.9491 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 29, 30, 33, 37, 39, 56, 57, 58, 59, 60, 61, 62] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [522, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7788398539176623:.4 CMC: 1: 0.9474 2: 0.9492 3: 0.9492 4: 0.9492 5: 0.9492 6: 0.9492 7: 0.9492 8: 0.9492 9: 0.9492 10: 0.9492 11: 0.9492 12: 0.9492 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 34, 37, 38, 41, 43, 44, 48, 52, 55, 57, 64, 65] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [523, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7792405063562173:.4 CMC: 1: 0.9475 2: 0.9493 3: 0.9493 4: 0.9493 5: 0.9493 6: 0.9493 7: 0.9493 8: 0.9493 9: 0.9493 10: 0.9493 11: 0.9493 12: 0.9493 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 48, 52, 60] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [524, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.779639709780528:.4 CMC: 1: 0.9476 2: 0.9494 3: 0.9494 4: 0.9494 5: 0.9494 6: 0.9494 7: 0.9494 8: 0.9494 9: 0.9494 10: 0.9494 11: 0.9494 12: 0.9494 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [525, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7794357873200336:.4 CMC: 1: 0.9477 2: 0.9495 3: 0.9495 4: 0.9495 5: 0.9495 6: 0.9495 7: 0.9495 8: 0.9495 9: 0.9495 10: 0.9495 11: 0.9495 12: 0.9495 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [526, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28] At the end mAP 0.7798332003158533:.4 CMC: 1: 0.9477 2: 0.9495 3: 0.9495 4: 0.9495 5: 0.9495 6: 0.9495 7: 0.9495 8: 0.9495 9: 0.9495 10: 0.9495 11: 0.9495 12: 0.9495 13: 1.0 ======================================== annot_ranks [] num_for_qnid 264 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [526, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7784306226174436:.4 CMC: 1: 0.946 2: 0.9478 3: 0.9478 4: 0.9478 5: 0.9478 6: 0.9478 7: 0.9478 8: 0.9478 9: 0.9478 10: 0.9478 11: 0.9478 12: 0.9478 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 54, 55, 60, 63, 64, 65, 66, 72, 73, 74] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [527, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7788284132411105:.4 CMC: 1: 0.9461 2: 0.9479 3: 0.9479 4: 0.9479 5: 0.9479 6: 0.9479 7: 0.9479 8: 0.9479 9: 0.9479 10: 0.9479 11: 0.9479 12: 0.9479 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 49, 50, 52, 53] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [528, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7792247780919329:.4 CMC: 1: 0.9462 2: 0.948 3: 0.948 4: 0.948 5: 0.948 6: 0.948 7: 0.948 8: 0.948 9: 0.948 10: 0.948 11: 0.948 12: 0.948 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [529, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7796197248216433:.4 CMC: 1: 0.9463 2: 0.9481 3: 0.9481 4: 0.9481 5: 0.9481 6: 0.9481 7: 0.9481 8: 0.9481 9: 0.9481 10: 0.9481 11: 0.9481 12: 0.9481 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [530, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7800132610273188:.4 CMC: 1: 0.9464 2: 0.9482 3: 0.9482 4: 0.9482 5: 0.9482 6: 0.9482 7: 0.9482 8: 0.9482 9: 0.9482 10: 0.9482 11: 0.9482 12: 0.9482 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 65, 66, 67, 68] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [531, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7804053942518691:.4 CMC: 1: 0.9465 2: 0.9483 3: 0.9483 4: 0.9483 5: 0.9483 6: 0.9483 7: 0.9483 8: 0.9483 9: 0.9483 10: 0.9483 11: 0.9483 12: 0.9483 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 60, 61, 62, 63, 64, 66, 67] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [532, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7807961319845169:.4 CMC: 1: 0.9466 2: 0.9484 3: 0.9484 4: 0.9484 5: 0.9484 6: 0.9484 7: 0.9484 8: 0.9484 9: 0.9484 10: 0.9484 11: 0.9484 12: 0.9484 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [533, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7811854816612762:.4 CMC: 1: 0.9467 2: 0.9485 3: 0.9485 4: 0.9485 5: 0.9485 6: 0.9485 7: 0.9485 8: 0.9485 9: 0.9485 10: 0.9485 11: 0.9485 12: 0.9485 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48, 49, 50, 51, 52, 53] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [534, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7815734506654229:.4 CMC: 1: 0.9468 2: 0.9486 3: 0.9486 4: 0.9486 5: 0.9486 6: 0.9486 7: 0.9486 8: 0.9486 9: 0.9486 10: 0.9486 11: 0.9486 12: 0.9486 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57, 58, 59] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [535, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.781960046327962:.4 CMC: 1: 0.9469 2: 0.9487 3: 0.9487 4: 0.9487 5: 0.9487 6: 0.9487 7: 0.9487 8: 0.9487 9: 0.9487 10: 0.9487 11: 0.9487 12: 0.9487 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [536, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7823452759280892:.4 CMC: 1: 0.947 2: 0.9488 3: 0.9488 4: 0.9488 5: 0.9488 6: 0.9488 7: 0.9488 8: 0.9488 9: 0.9488 10: 0.9488 11: 0.9488 12: 0.9488 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [537, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7827291466936482:.4 CMC: 1: 0.9471 2: 0.9489 3: 0.9489 4: 0.9489 5: 0.9489 6: 0.9489 7: 0.9489 8: 0.9489 9: 0.9489 10: 0.9489 11: 0.9489 12: 0.9489 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 55] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [538, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7831116658015819:.4 CMC: 1: 0.9472 2: 0.9489 3: 0.9489 4: 0.9489 5: 0.9489 6: 0.9489 7: 0.9489 8: 0.9489 9: 0.9489 10: 0.9489 11: 0.9489 12: 0.9489 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 50] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [539, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7834928403783805:.4 CMC: 1: 0.9473 2: 0.949 3: 0.949 4: 0.949 5: 0.949 6: 0.949 7: 0.949 8: 0.949 9: 0.949 10: 0.949 11: 0.949 12: 0.949 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 62, 64] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [540, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7838726775005237:.4 CMC: 1: 0.9474 2: 0.9491 3: 0.9491 4: 0.9491 5: 0.9491 6: 0.9491 7: 0.9491 8: 0.9491 9: 0.9491 10: 0.9491 11: 0.9491 12: 0.9491 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 26, 27, 28] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [541, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7842511841949186:.4 CMC: 1: 0.9475 2: 0.9492 3: 0.9492 4: 0.9492 5: 0.9492 6: 0.9492 7: 0.9492 8: 0.9492 9: 0.9492 10: 0.9492 11: 0.9492 12: 0.9492 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8461538461538461, 0.8571428571428571] max_possible 12 AP 0.9753 nr: adding to 0 name_rank_counts [542, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7845851414345687:.4 CMC: 1: 0.9476 2: 0.9493 3: 0.9493 4: 0.9493 5: 0.9493 6: 0.9493 7: 0.9493 8: 0.9493 9: 0.9493 10: 0.9493 11: 0.9493 12: 0.9493 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 12, 17, 28, 29] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7692307692307693, 0.6111111111111112, 0.41379310344827586] max_possible 12 AP 0.8995 nr: adding to 0 name_rank_counts [543, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7847857105571072:.4 CMC: 1: 0.9476 2: 0.9494 3: 0.9494 4: 0.9494 5: 0.9494 6: 0.9494 7: 0.9494 8: 0.9494 9: 0.9494 10: 0.9494 11: 0.9494 12: 0.9494 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 18, 20, 21, 23, 24, 26, 32] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [544, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7851494806494985:.4 CMC: 1: 0.9477 2: 0.9495 3: 0.9495 4: 0.9495 5: 0.9495 6: 0.9495 7: 0.9495 8: 0.9495 9: 0.9495 10: 0.9495 11: 0.9495 12: 0.9495 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 67, 68, 71, 72, 73, 76, 80, 81, 82] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [545, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7855231337266299:.4 CMC: 1: 0.9478 2: 0.9496 3: 0.9496 4: 0.9496 5: 0.9496 6: 0.9496 7: 0.9496 8: 0.9496 9: 0.9496 10: 0.9496 11: 0.9496 12: 0.9496 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 46, 47] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [546, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7858954893972433:.4 CMC: 1: 0.9479 2: 0.9497 3: 0.9497 4: 0.9497 5: 0.9497 6: 0.9497 7: 0.9497 8: 0.9497 9: 0.9497 10: 0.9497 11: 0.9497 12: 0.9497 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 47, 48, 49, 50] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [547, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7862665544069535:.4 CMC: 1: 0.948 2: 0.9497 3: 0.9497 4: 0.9497 5: 0.9497 6: 0.9497 7: 0.9497 8: 0.9497 9: 0.9497 10: 0.9497 11: 0.9497 12: 0.9497 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [548, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7866363354546924:.4 CMC: 1: 0.9481 2: 0.9498 3: 0.9498 4: 0.9498 5: 0.9498 6: 0.9498 7: 0.9498 8: 0.9498 9: 0.9498 10: 0.9498 11: 0.9498 12: 0.9498 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32, 33, 35, 36] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [549, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7870048391931126:.4 CMC: 1: 0.9482 2: 0.9499 3: 0.9499 4: 0.9499 5: 0.9499 6: 0.9499 7: 0.9499 8: 0.9499 9: 0.9499 10: 0.9499 11: 0.9499 12: 0.9499 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 37, 41, 43, 44, 45] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [550, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7873720722289865:.4 CMC: 1: 0.9483 2: 0.95 3: 0.95 4: 0.95 5: 0.95 6: 0.95 7: 0.95 8: 0.95 9: 0.95 10: 0.95 11: 0.95 12: 0.95 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 25, 26, 27, 28, 29, 30, 31, 34, 35, 40, 41, 42] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [551, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.787738041123601:.4 CMC: 1: 0.9484 2: 0.9501 3: 0.9501 4: 0.9501 5: 0.9501 6: 0.9501 7: 0.9501 8: 0.9501 9: 0.9501 10: 0.9501 11: 0.9501 12: 0.9501 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 16, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [552, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7881027523931481:.4 CMC: 1: 0.9485 2: 0.9502 3: 0.9502 4: 0.9502 5: 0.9502 6: 0.9502 7: 0.9502 8: 0.9502 9: 0.9502 10: 0.9502 11: 0.9502 12: 0.9502 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [553, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7884662125091118:.4 CMC: 1: 0.9485 2: 0.9503 3: 0.9503 4: 0.9503 5: 0.9503 6: 0.9503 7: 0.9503 8: 0.9503 9: 0.9503 10: 0.9503 11: 0.9503 12: 0.9503 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [554, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7888284278986509:.4 CMC: 1: 0.9486 2: 0.9503 3: 0.9503 4: 0.9503 5: 0.9503 6: 0.9503 7: 0.9503 8: 0.9503 9: 0.9503 10: 0.9503 11: 0.9503 12: 0.9503 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [555, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.789189404944978:.4 CMC: 1: 0.9487 2: 0.9504 3: 0.9504 4: 0.9504 5: 0.9504 6: 0.9504 7: 0.9504 8: 0.9504 9: 0.9504 10: 0.9504 11: 0.9504 12: 0.9504 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [556, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7895491499877341:.4 CMC: 1: 0.9488 2: 0.9505 3: 0.9505 4: 0.9505 5: 0.9505 6: 0.9505 7: 0.9505 8: 0.9505 9: 0.9505 10: 0.9505 11: 0.9505 12: 0.9505 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [557, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7899076693233598:.4 CMC: 1: 0.9489 2: 0.9506 3: 0.9506 4: 0.9506 5: 0.9506 6: 0.9506 7: 0.9506 8: 0.9506 9: 0.9506 10: 0.9506 11: 0.9506 12: 0.9506 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 26, 27, 29, 30, 31, 34, 35] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [558, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7902649692054629:.4 CMC: 1: 0.949 2: 0.9507 3: 0.9507 4: 0.9507 5: 0.9507 6: 0.9507 7: 0.9507 8: 0.9507 9: 0.9507 10: 0.9507 11: 0.9507 12: 0.9507 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [559, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7894891939323354:.4 CMC: 1: 0.9491 2: 0.9508 3: 0.9508 4: 0.9508 5: 0.9508 6: 0.9508 7: 0.9508 8: 0.9508 9: 0.9508 10: 0.9508 11: 0.9508 12: 0.9508 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [560, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7895635060330151:.4 CMC: 1: 0.9492 2: 0.9508 3: 0.9508 4: 0.9508 5: 0.9508 6: 0.9508 7: 0.9508 8: 0.9508 9: 0.9508 10: 0.9508 11: 0.9508 12: 0.9508 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [561, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7899195745507257:.4 CMC: 1: 0.9492 2: 0.9509 3: 0.9509 4: 0.9509 5: 0.9509 6: 0.9509 7: 0.9509 8: 0.9509 9: 0.9509 10: 0.9509 11: 0.9509 12: 0.9509 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 264 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [562, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7902744401342549:.4 CMC: 1: 0.9493 2: 0.951 3: 0.951 4: 0.951 5: 0.951 6: 0.951 7: 0.951 8: 0.951 9: 0.951 10: 0.951 11: 0.951 12: 0.951 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [563, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7897849385488683:.4 CMC: 1: 0.9494 2: 0.9511 3: 0.9511 4: 0.9511 5: 0.9511 6: 0.9511 7: 0.9511 8: 0.9511 9: 0.9511 10: 0.9511 11: 0.9511 12: 0.9511 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 7] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.625] max_possible 12 AP 0.3854 nr: adding to 0 name_rank_counts [564, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7891041838823999:.4 CMC: 1: 0.9495 2: 0.9512 3: 0.9512 4: 0.9512 5: 0.9512 6: 0.9512 7: 0.9512 8: 0.9512 9: 0.9512 10: 0.9512 11: 0.9512 12: 0.9512 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [565, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7884782384753147:.4 CMC: 1: 0.9496 2: 0.9513 3: 0.9513 4: 0.9513 5: 0.9513 6: 0.9513 7: 0.9513 8: 0.9513 9: 0.9513 10: 0.9513 11: 0.9513 12: 0.9513 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [566, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7875747514980072:.4 CMC: 1: 0.9497 2: 0.9513 3: 0.9513 4: 0.9513 5: 0.9513 6: 0.9513 7: 0.9513 8: 0.9513 9: 0.9513 10: 0.9513 11: 0.9513 12: 0.9513 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 8, 9] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666, 0.7] max_possible 12 AP 0.5306 nr: adding to 0 name_rank_counts [567, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7871442335818557:.4 CMC: 1: 0.9497 2: 0.9514 3: 0.9514 4: 0.9514 5: 0.9514 6: 0.9514 7: 0.9514 8: 0.9514 9: 0.9514 10: 0.9514 11: 0.9514 12: 0.9514 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [568, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.786664059278207:.4 CMC: 1: 0.9498 2: 0.9515 3: 0.9515 4: 0.9515 5: 0.9515 6: 0.9515 7: 0.9515 8: 0.9515 9: 0.9515 10: 0.9515 11: 0.9515 12: 0.9515 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [569, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.786463729741293:.4 CMC: 1: 0.9499 2: 0.9516 3: 0.9516 4: 0.9516 5: 0.9516 6: 0.9516 7: 0.9516 8: 0.9516 9: 0.9516 10: 0.9516 11: 0.9516 12: 0.9516 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 20, 26, 27] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [570, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7868196235250574:.4 CMC: 1: 0.95 2: 0.9517 3: 0.9517 4: 0.9517 5: 0.9517 6: 0.9517 7: 0.9517 8: 0.9517 9: 0.9517 10: 0.9517 11: 0.9517 12: 0.9517 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6, 12] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571, 0.5384615384615384] max_possible 12 AP 0.533 nr: adding to 0 name_rank_counts [571, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7863972398469242:.4 CMC: 1: 0.9501 2: 0.9517 3: 0.9517 4: 0.9517 5: 0.9517 6: 0.9517 7: 0.9517 8: 0.9517 9: 0.9517 10: 0.9517 11: 0.9517 12: 0.9517 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [572, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7867520617076437:.4 CMC: 1: 0.9502 2: 0.9518 3: 0.9518 4: 0.9518 5: 0.9518 6: 0.9518 7: 0.9518 8: 0.9518 9: 0.9518 10: 0.9518 11: 0.9518 12: 0.9518 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 44] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [573, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7871057067131036:.4 CMC: 1: 0.9502 2: 0.9519 3: 0.9519 4: 0.9519 5: 0.9519 6: 0.9519 7: 0.9519 8: 0.9519 9: 0.9519 10: 0.9519 11: 0.9519 12: 0.9519 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 31, 38, 50] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [574, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7874581807086117:.4 CMC: 1: 0.9503 2: 0.952 3: 0.952 4: 0.952 5: 0.952 6: 0.952 7: 0.952 8: 0.952 9: 0.952 10: 0.952 11: 0.952 12: 0.952 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [575, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7878094895008289:.4 CMC: 1: 0.9504 2: 0.9521 3: 0.9521 4: 0.9521 5: 0.9521 6: 0.9521 7: 0.9521 8: 0.9521 9: 0.9521 10: 0.9521 11: 0.9521 12: 0.9521 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [576, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7881596388580883:.4 CMC: 1: 0.9505 2: 0.9521 3: 0.9521 4: 0.9521 5: 0.9521 6: 0.9521 7: 0.9521 8: 0.9521 9: 0.9521 10: 0.9521 11: 0.9521 12: 0.9521 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [577, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7885086345107108:.4 CMC: 1: 0.9506 2: 0.9522 3: 0.9522 4: 0.9522 5: 0.9522 6: 0.9522 7: 0.9522 8: 0.9522 9: 0.9522 10: 0.9522 11: 0.9522 12: 0.9522 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [578, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7888564821513181:.4 CMC: 1: 0.9507 2: 0.9523 3: 0.9523 4: 0.9523 5: 0.9523 6: 0.9523 7: 0.9523 8: 0.9523 9: 0.9523 10: 0.9523 11: 0.9523 12: 0.9523 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [579, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.789203187435142:.4 CMC: 1: 0.9507 2: 0.9524 3: 0.9524 4: 0.9524 5: 0.9524 6: 0.9524 7: 0.9524 8: 0.9524 9: 0.9524 10: 0.9524 11: 0.9524 12: 0.9524 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [580, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7895487559803301:.4 CMC: 1: 0.9508 2: 0.9525 3: 0.9525 4: 0.9525 5: 0.9525 6: 0.9525 7: 0.9525 8: 0.9525 9: 0.9525 10: 0.9525 11: 0.9525 12: 0.9525 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [581, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7898931933682511:.4 CMC: 1: 0.9509 2: 0.9525 3: 0.9525 4: 0.9525 5: 0.9525 6: 0.9525 7: 0.9525 8: 0.9525 9: 0.9525 10: 0.9525 11: 0.9525 12: 0.9525 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [582, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7902365051437932:.4 CMC: 1: 0.951 2: 0.9526 3: 0.9526 4: 0.9526 5: 0.9526 6: 0.9526 7: 0.9526 8: 0.9526 9: 0.9526 10: 0.9526 11: 0.9526 12: 0.9526 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [583, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.790578696815663:.4 CMC: 1: 0.9511 2: 0.9527 3: 0.9527 4: 0.9527 5: 0.9527 6: 0.9527 7: 0.9527 8: 0.9527 9: 0.9527 10: 0.9527 11: 0.9527 12: 0.9527 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 33, 34] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [584, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7909197738566799:.4 CMC: 1: 0.9511 2: 0.9528 3: 0.9528 4: 0.9528 5: 0.9528 6: 0.9528 7: 0.9528 8: 0.9528 9: 0.9528 10: 0.9528 11: 0.9528 12: 0.9528 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [585, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7912597417040673:.4 CMC: 1: 0.9512 2: 0.9528 3: 0.9528 4: 0.9528 5: 0.9528 6: 0.9528 7: 0.9528 8: 0.9528 9: 0.9528 10: 0.9528 11: 0.9528 12: 0.9528 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [586, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7915986057597426:.4 CMC: 1: 0.9513 2: 0.9529 3: 0.9529 4: 0.9529 5: 0.9529 6: 0.9529 7: 0.9529 8: 0.9529 9: 0.9529 10: 0.9529 11: 0.9529 12: 0.9529 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [587, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.791936371390602:.4 CMC: 1: 0.9514 2: 0.953 3: 0.953 4: 0.953 5: 0.953 6: 0.953 7: 0.953 8: 0.953 9: 0.953 10: 0.953 11: 0.953 12: 0.953 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [588, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7922730439288049:.4 CMC: 1: 0.9515 2: 0.9531 3: 0.9531 4: 0.9531 5: 0.9531 6: 0.9531 7: 0.9531 8: 0.9531 9: 0.9531 10: 0.9531 11: 0.9531 12: 0.9531 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [589, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7926086286720541:.4 CMC: 1: 0.9515 2: 0.9532 3: 0.9532 4: 0.9532 5: 0.9532 6: 0.9532 7: 0.9532 8: 0.9532 9: 0.9532 10: 0.9532 11: 0.9532 12: 0.9532 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [590, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7929431308838734:.4 CMC: 1: 0.9516 2: 0.9532 3: 0.9532 4: 0.9532 5: 0.9532 6: 0.9532 7: 0.9532 8: 0.9532 9: 0.9532 10: 0.9532 11: 0.9532 12: 0.9532 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [591, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7932765557938832:.4 CMC: 1: 0.9517 2: 0.9533 3: 0.9533 4: 0.9533 5: 0.9533 6: 0.9533 7: 0.9533 8: 0.9533 9: 0.9533 10: 0.9533 11: 0.9533 12: 0.9533 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [592, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7936089085980731:.4 CMC: 1: 0.9518 2: 0.9534 3: 0.9534 4: 0.9534 5: 0.9534 6: 0.9534 7: 0.9534 8: 0.9534 9: 0.9534 10: 0.9534 11: 0.9534 12: 0.9534 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [593, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7939401944590714:.4 CMC: 1: 0.9518 2: 0.9535 3: 0.9535 4: 0.9535 5: 0.9535 6: 0.9535 7: 0.9535 8: 0.9535 9: 0.9535 10: 0.9535 11: 0.9535 12: 0.9535 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 39, 40, 41, 47, 53] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [594, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7942704185064127:.4 CMC: 1: 0.9519 2: 0.9535 3: 0.9535 4: 0.9535 5: 0.9535 6: 0.9535 7: 0.9535 8: 0.9535 9: 0.9535 10: 0.9535 11: 0.9535 12: 0.9535 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 33, 35, 36, 43, 44] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [595, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7945995858368023:.4 CMC: 1: 0.952 2: 0.9536 3: 0.9536 4: 0.9536 5: 0.9536 6: 0.9536 7: 0.9536 8: 0.9536 9: 0.9536 10: 0.9536 11: 0.9536 12: 0.9536 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 30, 39, 40] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [596, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7949277015143793:.4 CMC: 1: 0.9521 2: 0.9537 3: 0.9537 4: 0.9537 5: 0.9537 6: 0.9537 7: 0.9537 8: 0.9537 9: 0.9537 10: 0.9537 11: 0.9537 12: 0.9537 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 29, 36] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [597, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7952547705709753:.4 CMC: 1: 0.9522 2: 0.9537 3: 0.9537 4: 0.9537 5: 0.9537 6: 0.9537 7: 0.9537 8: 0.9537 9: 0.9537 10: 0.9537 11: 0.9537 12: 0.9537 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [598, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7955807980063718:.4 CMC: 1: 0.9522 2: 0.9538 3: 0.9538 4: 0.9538 5: 0.9538 6: 0.9538 7: 0.9538 8: 0.9538 9: 0.9538 10: 0.9538 11: 0.9538 12: 0.9538 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [599, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7959057887885556:.4 CMC: 1: 0.9523 2: 0.9539 3: 0.9539 4: 0.9539 5: 0.9539 6: 0.9539 7: 0.9539 8: 0.9539 9: 0.9539 10: 0.9539 11: 0.9539 12: 0.9539 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [600, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7962297478539706:.4 CMC: 1: 0.9524 2: 0.954 3: 0.954 4: 0.954 5: 0.954 6: 0.954 7: 0.954 8: 0.954 9: 0.954 10: 0.954 11: 0.954 12: 0.954 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [601, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7965526801077678:.4 CMC: 1: 0.9525 2: 0.954 3: 0.954 4: 0.954 5: 0.954 6: 0.954 7: 0.954 8: 0.954 9: 0.954 10: 0.954 11: 0.954 12: 0.954 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [602, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.796874590424053:.4 CMC: 1: 0.9525 2: 0.9541 3: 0.9541 4: 0.9541 5: 0.9541 6: 0.9541 7: 0.9541 8: 0.9541 9: 0.9541 10: 0.9541 11: 0.9541 12: 0.9541 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [603, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7971954836461319:.4 CMC: 1: 0.9526 2: 0.9542 3: 0.9542 4: 0.9542 5: 0.9542 6: 0.9542 7: 0.9542 8: 0.9542 9: 0.9542 10: 0.9542 11: 0.9542 12: 0.9542 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [604, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7975153645867531:.4 CMC: 1: 0.9527 2: 0.9543 3: 0.9543 4: 0.9543 5: 0.9543 6: 0.9543 7: 0.9543 8: 0.9543 9: 0.9543 10: 0.9543 11: 0.9543 12: 0.9543 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [605, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7978342380283487:.4 CMC: 1: 0.9528 2: 0.9543 3: 0.9543 4: 0.9543 5: 0.9543 6: 0.9543 7: 0.9543 8: 0.9543 9: 0.9543 10: 0.9543 11: 0.9543 12: 0.9543 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [606, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7981521087232728:.4 CMC: 1: 0.9528 2: 0.9544 3: 0.9544 4: 0.9544 5: 0.9544 6: 0.9544 7: 0.9544 8: 0.9544 9: 0.9544 10: 0.9544 11: 0.9544 12: 0.9544 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [607, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7984689813940369:.4 CMC: 1: 0.9529 2: 0.9545 3: 0.9545 4: 0.9545 5: 0.9545 6: 0.9545 7: 0.9545 8: 0.9545 9: 0.9545 10: 0.9545 11: 0.9545 12: 0.9545 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [608, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7987848607335446:.4 CMC: 1: 0.953 2: 0.9545 3: 0.9545 4: 0.9545 5: 0.9545 6: 0.9545 7: 0.9545 8: 0.9545 9: 0.9545 10: 0.9545 11: 0.9545 12: 0.9545 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25, 26, 28, 29] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [609, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7990997514053231:.4 CMC: 1: 0.9531 2: 0.9546 3: 0.9546 4: 0.9546 5: 0.9546 6: 0.9546 7: 0.9546 8: 0.9546 9: 0.9546 10: 0.9546 11: 0.9546 12: 0.9546 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [610, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7994136580437523:.4 CMC: 1: 0.9531 2: 0.9547 3: 0.9547 4: 0.9547 5: 0.9547 6: 0.9547 7: 0.9547 8: 0.9547 9: 0.9547 10: 0.9547 11: 0.9547 12: 0.9547 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [611, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7997265852542925:.4 CMC: 1: 0.9532 2: 0.9548 3: 0.9548 4: 0.9548 5: 0.9548 6: 0.9548 7: 0.9548 8: 0.9548 9: 0.9548 10: 0.9548 11: 0.9548 12: 0.9548 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 42] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [612, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8000385376137095:.4 CMC: 1: 0.9533 2: 0.9548 3: 0.9548 4: 0.9548 5: 0.9548 6: 0.9548 7: 0.9548 8: 0.9548 9: 0.9548 10: 0.9548 11: 0.9548 12: 0.9548 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [613, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8003495196702978:.4 CMC: 1: 0.9533 2: 0.9549 3: 0.9549 4: 0.9549 5: 0.9549 6: 0.9549 7: 0.9549 8: 0.9549 9: 0.9549 10: 0.9549 11: 0.9549 12: 0.9549 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [614, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8006595359441017:.4 CMC: 1: 0.9534 2: 0.955 3: 0.955 4: 0.955 5: 0.955 6: 0.955 7: 0.955 8: 0.955 9: 0.955 10: 0.955 11: 0.955 12: 0.955 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [615, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.800968590927134:.4 CMC: 1: 0.9535 2: 0.955 3: 0.955 4: 0.955 5: 0.955 6: 0.955 7: 0.955 8: 0.955 9: 0.955 10: 0.955 11: 0.955 12: 0.955 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [616, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8012766890835936:.4 CMC: 1: 0.9536 2: 0.9551 3: 0.9551 4: 0.9551 5: 0.9551 6: 0.9551 7: 0.9551 8: 0.9551 9: 0.9551 10: 0.9551 11: 0.9551 12: 0.9551 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [617, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8015838348500796:.4 CMC: 1: 0.9536 2: 0.9552 3: 0.9552 4: 0.9552 5: 0.9552 6: 0.9552 7: 0.9552 8: 0.9552 9: 0.9552 10: 0.9552 11: 0.9552 12: 0.9552 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [618, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8018900326358047:.4 CMC: 1: 0.9537 2: 0.9552 3: 0.9552 4: 0.9552 5: 0.9552 6: 0.9552 7: 0.9552 8: 0.9552 9: 0.9552 10: 0.9552 11: 0.9552 12: 0.9552 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [619, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8021952868228066:.4 CMC: 1: 0.9538 2: 0.9553 3: 0.9553 4: 0.9553 5: 0.9553 6: 0.9553 7: 0.9553 8: 0.9553 9: 0.9553 10: 0.9553 11: 0.9553 12: 0.9553 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 38] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [620, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8024996017661561:.4 CMC: 1: 0.9538 2: 0.9554 3: 0.9554 4: 0.9554 5: 0.9554 6: 0.9554 7: 0.9554 8: 0.9554 9: 0.9554 10: 0.9554 11: 0.9554 12: 0.9554 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 16] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.29411764705882354] max_possible 12 AP 0.3578 nr: adding to 0 name_rank_counts [621, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8018165657223599:.4 CMC: 1: 0.9539 2: 0.9555 3: 0.9555 4: 0.9555 5: 0.9555 6: 0.9555 7: 0.9555 8: 0.9555 9: 0.9555 10: 0.9555 11: 0.9555 12: 0.9555 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 15] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6875] max_possible 12 AP 0.8906 nr: adding to 0 name_rank_counts [622, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8019527749773869:.4 CMC: 1: 0.954 2: 0.9555 3: 0.9555 4: 0.9555 5: 0.9555 6: 0.9555 7: 0.9555 8: 0.9555 9: 0.9555 10: 0.9555 11: 0.9555 12: 0.9555 13: 1.0 ======================================== annot_ranks [0, 1, 3, 4, 5, 6] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.8, 0.8333333333333334, 0.8571428571428571] max_possible 12 AP 0.4367 nr: adding to 0 name_rank_counts [623, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8013934389501725:.4 CMC: 1: 0.9541 2: 0.9556 3: 0.9556 4: 0.9556 5: 0.9556 6: 0.9556 7: 0.9556 8: 0.9556 9: 0.9556 10: 0.9556 11: 0.9556 12: 0.9556 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 22, 23, 31, 32, 36] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [624, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8016971187071295:.4 CMC: 1: 0.9541 2: 0.9557 3: 0.9557 4: 0.9557 5: 0.9557 6: 0.9557 7: 0.9557 8: 0.9557 9: 0.9557 10: 0.9557 11: 0.9557 12: 0.9557 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [625, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8007276065666098:.4 CMC: 1: 0.9542 2: 0.9557 3: 0.9557 4: 0.9557 5: 0.9557 6: 0.9557 7: 0.9557 8: 0.9557 9: 0.9557 10: 0.9557 11: 0.9557 12: 0.9557 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 105 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [626, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7996340177354614:.4 CMC: 1: 0.9543 2: 0.9558 3: 0.9558 4: 0.9558 5: 0.9558 6: 0.9558 7: 0.9558 8: 0.9558 9: 0.9558 10: 0.9558 11: 0.9558 12: 0.9558 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [627, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.7999389887891364:.4 CMC: 1: 0.9543 2: 0.9559 3: 0.9559 4: 0.9559 5: 0.9559 6: 0.9559 7: 0.9559 8: 0.9559 9: 0.9559 10: 0.9559 11: 0.9559 12: 0.9559 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 26] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [628, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8002430328791226:.4 CMC: 1: 0.9544 2: 0.9559 3: 0.9559 4: 0.9559 5: 0.9559 6: 0.9559 7: 0.9559 8: 0.9559 9: 0.9559 10: 0.9559 11: 0.9559 12: 0.9559 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [629, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8005461542252847:.4 CMC: 1: 0.9545 2: 0.956 3: 0.956 4: 0.956 5: 0.956 6: 0.956 7: 0.956 8: 0.956 9: 0.956 10: 0.956 11: 0.956 12: 0.956 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [630, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8007220943956506:.4 CMC: 1: 0.9545 2: 0.9561 3: 0.9561 4: 0.9561 5: 0.9561 6: 0.9561 7: 0.9561 8: 0.9561 9: 0.9561 10: 0.9561 11: 0.9561 12: 0.9561 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [631, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8010235738292426:.4 CMC: 1: 0.9546 2: 0.9561 3: 0.9561 4: 0.9561 5: 0.9561 6: 0.9561 7: 0.9561 8: 0.9561 9: 0.9561 10: 0.9561 11: 0.9561 12: 0.9561 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [632, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8009464989443043:.4 CMC: 1: 0.9547 2: 0.9562 3: 0.9562 4: 0.9562 5: 0.9562 6: 0.9562 7: 0.9562 8: 0.9562 9: 0.9562 10: 0.9562 11: 0.9562 12: 0.9562 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [633, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8008570874325732:.4 CMC: 1: 0.9548 2: 0.9563 3: 0.9563 4: 0.9563 5: 0.9563 6: 0.9563 7: 0.9563 8: 0.9563 9: 0.9563 10: 0.9563 11: 0.9563 12: 0.9563 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [634, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8006549934253956:.4 CMC: 1: 0.9548 2: 0.9563 3: 0.9563 4: 0.9563 5: 0.9563 6: 0.9563 7: 0.9563 8: 0.9563 9: 0.9563 10: 0.9563 11: 0.9563 12: 0.9563 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 25, 26, 27] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [635, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8009547603525755:.4 CMC: 1: 0.9549 2: 0.9564 3: 0.9564 4: 0.9564 5: 0.9564 6: 0.9564 7: 0.9564 8: 0.9564 9: 0.9564 10: 0.9564 11: 0.9564 12: 0.9564 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [636, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8012536270787728:.4 CMC: 1: 0.955 2: 0.9565 3: 0.9565 4: 0.9565 5: 0.9565 6: 0.9565 7: 0.9565 8: 0.9565 9: 0.9565 10: 0.9565 11: 0.9565 12: 0.9565 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 31, 32, 35, 36] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [637, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8015515976528675:.4 CMC: 1: 0.955 2: 0.9565 3: 0.9565 4: 0.9565 5: 0.9565 6: 0.9565 7: 0.9565 8: 0.9565 9: 0.9565 10: 0.9565 11: 0.9565 12: 0.9565 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 39, 40, 41, 42, 43, 44] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [638, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8018486760994951:.4 CMC: 1: 0.9551 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [639, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8021448664192268:.4 CMC: 1: 0.9552 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [640, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8024401725887503:.4 CMC: 1: 0.9552 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 21] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [641, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8027345985610472:.4 CMC: 1: 0.9553 2: 0.9568 3: 0.9568 4: 0.9568 5: 0.9568 6: 0.9568 7: 0.9568 8: 0.9568 9: 0.9568 10: 0.9568 11: 0.9568 12: 0.9568 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 23] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [642, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8030281482655695:.4 CMC: 1: 0.9554 2: 0.9568 3: 0.9568 4: 0.9568 5: 0.9568 6: 0.9568 7: 0.9568 8: 0.9568 9: 0.9568 10: 0.9568 11: 0.9568 12: 0.9568 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [643, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8033208256084141:.4 CMC: 1: 0.9554 2: 0.9569 3: 0.9569 4: 0.9569 5: 0.9569 6: 0.9569 7: 0.9569 8: 0.9569 9: 0.9569 10: 0.9569 11: 0.9569 12: 0.9569 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [644, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8036126344724965:.4 CMC: 1: 0.9555 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [645, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8039035787177224:.4 CMC: 1: 0.9556 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [646, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8041936621811578:.4 CMC: 1: 0.9556 2: 0.9571 3: 0.9571 4: 0.9571 5: 0.9571 6: 0.9571 7: 0.9571 8: 0.9571 9: 0.9571 10: 0.9571 11: 0.9571 12: 0.9571 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [647, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8044828886771974:.4 CMC: 1: 0.9557 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 36] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [648, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8047712619977325:.4 CMC: 1: 0.9558 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34, 36, 38, 43, 44] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [649, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8050587859123162:.4 CMC: 1: 0.9558 2: 0.9573 3: 0.9573 4: 0.9573 5: 0.9573 6: 0.9573 7: 0.9573 8: 0.9573 9: 0.9573 10: 0.9573 11: 0.9573 12: 0.9573 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 33] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [650, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8053454641683275:.4 CMC: 1: 0.9559 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [651, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8056313004911346:.4 CMC: 1: 0.9559 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 24] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.44] max_possible 12 AP 0.87 nr: adding to 0 name_rank_counts [652, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.805725682748479:.4 CMC: 1: 0.956 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 7, 46] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.75, 0.14893617021276595] max_possible 12 AP 0.4916 nr: adding to 0 name_rank_counts [653, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8052657300858669:.4 CMC: 1: 0.9561 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 13, 14, 16, 18, 26] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.7857142857142857, 0.8] max_possible 12 AP 0.9516 nr: adding to 0 name_rank_counts [654, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8054796505120386:.4 CMC: 1: 0.9561 2: 0.9576 3: 0.9576 4: 0.9576 5: 0.9576 6: 0.9576 7: 0.9576 8: 0.9576 9: 0.9576 10: 0.9576 11: 0.9576 12: 0.9576 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5, 11, 12, 26] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.5, 0.5384615384615384, 0.2962962962962963] max_possible 12 AP 0.514 nr: adding to 0 name_rank_counts [655, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8050541438650733:.4 CMC: 1: 0.9562 2: 0.9577 3: 0.9577 4: 0.9577 5: 0.9577 6: 0.9577 7: 0.9577 8: 0.9577 9: 0.9577 10: 0.9577 11: 0.9577 12: 0.9577 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 19] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [656, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8053383214979232:.4 CMC: 1: 0.9563 2: 0.9577 3: 0.9577 4: 0.9577 5: 0.9577 6: 0.9577 7: 0.9577 8: 0.9577 9: 0.9577 10: 0.9577 11: 0.9577 12: 0.9577 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [657, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8055003714908908:.4 CMC: 1: 0.9563 2: 0.9578 3: 0.9578 4: 0.9578 5: 0.9578 6: 0.9578 7: 0.9578 8: 0.9578 9: 0.9578 10: 0.9578 11: 0.9578 12: 0.9578 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [658, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8056619504082975:.4 CMC: 1: 0.9564 2: 0.9578 3: 0.9578 4: 0.9578 5: 0.9578 6: 0.9578 7: 0.9578 8: 0.9578 9: 0.9578 10: 0.9578 11: 0.9578 12: 0.9578 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [659, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8059440085354261:.4 CMC: 1: 0.9565 2: 0.9579 3: 0.9579 4: 0.9579 5: 0.9579 6: 0.9579 7: 0.9579 8: 0.9579 9: 0.9579 10: 0.9579 11: 0.9579 12: 0.9579 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [660, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8062252491027662:.4 CMC: 1: 0.9565 2: 0.958 3: 0.958 4: 0.958 5: 0.958 6: 0.958 7: 0.958 8: 0.958 9: 0.958 10: 0.958 11: 0.958 12: 0.958 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [661, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8062644793259652:.4 CMC: 1: 0.9566 2: 0.958 3: 0.958 4: 0.958 5: 0.958 6: 0.958 7: 0.958 8: 0.958 9: 0.958 10: 0.958 11: 0.958 12: 0.958 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [662, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8064240200591165:.4 CMC: 1: 0.9566 2: 0.9581 3: 0.9581 4: 0.9581 5: 0.9581 6: 0.9581 7: 0.9581 8: 0.9581 9: 0.9581 10: 0.9581 11: 0.9581 12: 0.9581 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [663, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8064628502370015:.4 CMC: 1: 0.9567 2: 0.9582 3: 0.9582 4: 0.9582 5: 0.9582 6: 0.9582 7: 0.9582 8: 0.9582 9: 0.9582 10: 0.9582 11: 0.9582 12: 0.9582 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [664, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8065015685123564:.4 CMC: 1: 0.9568 2: 0.9582 3: 0.9582 4: 0.9582 5: 0.9582 6: 0.9582 7: 0.9582 8: 0.9582 9: 0.9582 10: 0.9582 11: 0.9582 12: 0.9582 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [665, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8065401753682139:.4 CMC: 1: 0.9568 2: 0.9583 3: 0.9583 4: 0.9583 5: 0.9583 6: 0.9583 7: 0.9583 8: 0.9583 9: 0.9583 10: 0.9583 11: 0.9583 12: 0.9583 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [666, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8066984030855968:.4 CMC: 1: 0.9569 2: 0.9583 3: 0.9583 4: 0.9583 5: 0.9583 6: 0.9583 7: 0.9583 8: 0.9583 9: 0.9583 10: 0.9583 11: 0.9583 12: 0.9583 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 7] num_for_qnid 35 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.625] max_possible 12 AP 0.3854 nr: adding to 0 name_rank_counts [667, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8060939816560142:.4 CMC: 1: 0.957 2: 0.9584 3: 0.9584 4: 0.9584 5: 0.9584 6: 0.9584 7: 0.9584 8: 0.9584 9: 0.9584 10: 0.9584 11: 0.9584 12: 0.9584 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [668, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8062523952448548:.4 CMC: 1: 0.957 2: 0.9585 3: 0.9585 4: 0.9585 5: 0.9585 6: 0.9585 7: 0.9585 8: 0.9585 9: 0.9585 10: 0.9585 11: 0.9585 12: 0.9585 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [669, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.806529573506307:.4 CMC: 1: 0.9571 2: 0.9585 3: 0.9585 4: 0.9585 5: 0.9585 6: 0.9585 7: 0.9585 8: 0.9585 9: 0.9585 10: 0.9585 11: 0.9585 12: 0.9585 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [670, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8065678645917741:.4 CMC: 1: 0.9571 2: 0.9586 3: 0.9586 4: 0.9586 5: 0.9586 6: 0.9586 7: 0.9586 8: 0.9586 9: 0.9586 10: 0.9586 11: 0.9586 12: 0.9586 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [671, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8066060464302074:.4 CMC: 1: 0.9572 2: 0.9586 3: 0.9586 4: 0.9586 5: 0.9586 6: 0.9586 7: 0.9586 8: 0.9586 9: 0.9586 10: 0.9586 11: 0.9586 12: 0.9586 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [672, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8068815363925576:.4 CMC: 1: 0.9573 2: 0.9587 3: 0.9587 4: 0.9587 5: 0.9587 6: 0.9587 7: 0.9587 8: 0.9587 9: 0.9587 10: 0.9587 11: 0.9587 12: 0.9587 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [673, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8071562425996804:.4 CMC: 1: 0.9573 2: 0.9587 3: 0.9587 4: 0.9587 5: 0.9587 6: 0.9587 7: 0.9587 8: 0.9587 9: 0.9587 10: 0.9587 11: 0.9587 12: 0.9587 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [674, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8069566835429574:.4 CMC: 1: 0.9574 2: 0.9588 3: 0.9588 4: 0.9588 5: 0.9588 6: 0.9588 7: 0.9588 8: 0.9588 9: 0.9588 10: 0.9588 11: 0.9588 12: 0.9588 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666] max_possible 12 AP 0.9097 nr: adding to 0 name_rank_counts [675, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8071024502644883:.4 CMC: 1: 0.9574 2: 0.9589 3: 0.9589 4: 0.9589 5: 0.9589 6: 0.9589 7: 0.9589 8: 0.9589 9: 0.9589 10: 0.9589 11: 0.9589 12: 0.9589 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [676, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8073756762556151:.4 CMC: 1: 0.9575 2: 0.9589 3: 0.9589 4: 0.9589 5: 0.9589 6: 0.9589 7: 0.9589 8: 0.9589 9: 0.9589 10: 0.9589 11: 0.9589 12: 0.9589 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [677, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8076481293302182:.4 CMC: 1: 0.9576 2: 0.959 3: 0.959 4: 0.959 5: 0.959 6: 0.959 7: 0.959 8: 0.959 9: 0.959 10: 0.959 11: 0.959 12: 0.959 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [678, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8079198127633677:.4 CMC: 1: 0.9576 2: 0.959 3: 0.959 4: 0.959 5: 0.959 6: 0.959 7: 0.959 8: 0.959 9: 0.959 10: 0.959 11: 0.959 12: 0.959 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [679, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8081907298116563:.4 CMC: 1: 0.9577 2: 0.9591 3: 0.9591 4: 0.9591 5: 0.9591 6: 0.9591 7: 0.9591 8: 0.9591 9: 0.9591 10: 0.9591 11: 0.9591 12: 0.9591 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 10, 16, 17, 20, 40, 41] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.45454545454545453, 0.35294117647058826, 0.3888888888888889, 0.38095238095238093, 0.21951219512195122, 0.23809523809523808] max_possible 12 AP 0.5029 nr: adding to 0 name_rank_counts [680, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8077607587525406:.4 CMC: 1: 0.9577 2: 0.9592 3: 0.9592 4: 0.9592 5: 0.9592 6: 0.9592 7: 0.9592 8: 0.9592 9: 0.9592 10: 0.9592 11: 0.9592 12: 0.9592 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 38] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.28205128205128205] max_possible 12 AP 0.8493 nr: adding to 0 name_rank_counts [681, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8078191287813862:.4 CMC: 1: 0.9578 2: 0.9592 3: 0.9592 4: 0.9592 5: 0.9592 6: 0.9592 7: 0.9592 8: 0.9592 9: 0.9592 10: 0.9592 11: 0.9592 12: 0.9592 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 26, 28] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [682, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8080890457353449:.4 CMC: 1: 0.9579 2: 0.9593 3: 0.9593 4: 0.9593 5: 0.9593 6: 0.9593 7: 0.9593 8: 0.9593 9: 0.9593 10: 0.9593 11: 0.9593 12: 0.9593 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888] max_possible 12 AP 0.6574 nr: adding to 0 name_rank_counts [683, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.807877711039233:.4 CMC: 1: 0.9579 2: 0.9593 3: 0.9593 4: 0.9593 5: 0.9593 6: 0.9593 7: 0.9593 8: 0.9593 9: 0.9593 10: 0.9593 11: 0.9593 12: 0.9593 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 8, 29] num_for_qnid 105 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.5555555555555556, 0.2] max_possible 12 AP 0.3963 nr: adding to 0 name_rank_counts [684, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8073012664807694:.4 CMC: 1: 0.958 2: 0.9594 3: 0.9594 4: 0.9594 5: 0.9594 6: 0.9594 7: 0.9594 8: 0.9594 9: 0.9594 10: 0.9594 11: 0.9594 12: 0.9594 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [685, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8072211248493277:.4 CMC: 1: 0.958 2: 0.9594 3: 0.9594 4: 0.9594 5: 0.9594 6: 0.9594 7: 0.9594 8: 0.9594 9: 0.9594 10: 0.9594 11: 0.9594 12: 0.9594 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [686, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8070248197401342:.4 CMC: 1: 0.9581 2: 0.9595 3: 0.9595 4: 0.9595 5: 0.9595 6: 0.9595 7: 0.9595 8: 0.9595 9: 0.9595 10: 0.9595 11: 0.9595 12: 0.9595 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [687, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8068290622044666:.4 CMC: 1: 0.9582 2: 0.9596 3: 0.9596 4: 0.9596 5: 0.9596 6: 0.9596 7: 0.9596 8: 0.9596 9: 0.9596 10: 0.9596 11: 0.9596 12: 0.9596 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [688, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8067499130927612:.4 CMC: 1: 0.9582 2: 0.9596 3: 0.9596 4: 0.9596 5: 0.9596 6: 0.9596 7: 0.9596 8: 0.9596 9: 0.9596 10: 0.9596 11: 0.9596 12: 0.9596 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [689, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8065550824301382:.4 CMC: 1: 0.9583 2: 0.9597 3: 0.9597 4: 0.9597 5: 0.9597 6: 0.9597 7: 0.9597 8: 0.9597 9: 0.9597 10: 0.9597 11: 0.9597 12: 0.9597 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [690, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8064765337045408:.4 CMC: 1: 0.9583 2: 0.9597 3: 0.9597 4: 0.9597 5: 0.9597 6: 0.9597 7: 0.9597 8: 0.9597 9: 0.9597 10: 0.9597 11: 0.9597 12: 0.9597 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [691, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8062826226545576:.4 CMC: 1: 0.9584 2: 0.9598 3: 0.9598 4: 0.9598 5: 0.9598 6: 0.9598 7: 0.9598 8: 0.9598 9: 0.9598 10: 0.9598 11: 0.9598 12: 0.9598 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [692, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8055121481079447:.4 CMC: 1: 0.9584 2: 0.9598 3: 0.9598 4: 0.9598 5: 0.9598 6: 0.9598 7: 0.9598 8: 0.9598 9: 0.9598 10: 0.9598 11: 0.9598 12: 0.9598 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 16] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5882352941176471] max_possible 12 AP 0.799 nr: adding to 0 name_rank_counts [693, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8055031681075784:.4 CMC: 1: 0.9585 2: 0.9599 3: 0.9599 4: 0.9599 5: 0.9599 6: 0.9599 7: 0.9599 8: 0.9599 9: 0.9599 10: 0.9599 11: 0.9599 12: 0.9599 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 20 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [694, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29] At the end mAP 0.8054265062731756:.4 CMC: 1: 0.9586 2: 0.9599 3: 0.9599 4: 0.9599 5: 0.9599 6: 0.9599 7: 0.9599 8: 0.9599 9: 0.9599 10: 0.9599 11: 0.9599 12: 0.9599 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.8054265062731756:.4 CMC: 1: 0.9586 2: 0.9599 3: 0.9599 4: 0.9599 5: 0.9599 6: 0.9599 7: 0.9599 8: 0.9599 9: 0.9599 10: 0.9599 11: 0.9599 12: 0.9599 13: 1.0 ======================================== annot_ranks [] num_for_qnid 13 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [694, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30] At the end mAP 0.8043155731610747:.4 CMC: 1: 0.9572 2: 0.9586 3: 0.9586 4: 0.9586 5: 0.9586 6: 0.9586 7: 0.9586 8: 0.9586 9: 0.9586 10: 0.9586 11: 0.9586 12: 0.9586 13: 1.0 ======================================== annot_ranks [] num_for_qnid 13 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [694, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31] At the end mAP 0.8032077004707702:.4 CMC: 1: 0.9559 2: 0.9573 3: 0.9573 4: 0.9573 5: 0.9573 6: 0.9573 7: 0.9573 8: 0.9573 9: 0.9573 10: 0.9573 11: 0.9573 12: 0.9573 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 3 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 3 AP 1.0 nr: adding to 0 name_rank_counts [695, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31] At the end mAP 0.8034783913917183:.4 CMC: 1: 0.956 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 3 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 3 AP 1.0 nr: adding to 0 name_rank_counts [696, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31] At the end mAP 0.80374833865629:.4 CMC: 1: 0.956 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 3 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 3 AP 1.0 nr: adding to 0 name_rank_counts [697, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31] At the end mAP 0.8040175453248:.4 CMC: 1: 0.9561 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 3 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 3 AP 1.0 nr: adding to 0 name_rank_counts [698, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31] At the end mAP 0.8042860144407934:.4 CMC: 1: 0.9562 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [] num_for_qnid 13 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [698, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8031857599750741:.4 CMC: 1: 0.9549 2: 0.9562 3: 0.9562 4: 0.9562 5: 0.9562 6: 0.9562 7: 0.9562 8: 0.9562 9: 0.9562 10: 0.9562 11: 0.9562 12: 0.9562 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.8031857599750741:.4 CMC: 1: 0.9549 2: 0.9562 3: 0.9562 4: 0.9562 5: 0.9562 6: 0.9562 7: 0.9562 8: 0.9562 9: 0.9562 10: 0.9562 11: 0.9562 12: 0.9562 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.5 nr: adding to 0 name_rank_counts [699, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8027715717783869:.4 CMC: 1: 0.9549 2: 0.9563 3: 0.9563 4: 0.9563 5: 0.9563 6: 0.9563 7: 0.9563 8: 0.9563 9: 0.9563 10: 0.9563 11: 0.9563 12: 0.9563 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [700, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.802187981639535:.4 CMC: 1: 0.955 2: 0.9563 3: 0.9563 4: 0.9563 5: 0.9563 6: 0.9563 7: 0.9563 8: 0.9563 9: 0.9563 10: 0.9563 11: 0.9563 12: 0.9563 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [701, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8013221487853487:.4 CMC: 1: 0.955 2: 0.9564 3: 0.9564 4: 0.9564 5: 0.9564 6: 0.9564 7: 0.9564 8: 0.9564 9: 0.9564 10: 0.9564 11: 0.9564 12: 0.9564 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 43 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [702, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8003452932541213:.4 CMC: 1: 0.9551 2: 0.9565 3: 0.9565 4: 0.9565 5: 0.9565 6: 0.9565 7: 0.9565 8: 0.9565 9: 0.9565 10: 0.9565 11: 0.9565 12: 0.9565 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 43 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [703, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7993710922216203:.4 CMC: 1: 0.9552 2: 0.9565 3: 0.9565 4: 0.9565 5: 0.9565 6: 0.9565 7: 0.9565 8: 0.9565 9: 0.9565 10: 0.9565 11: 0.9565 12: 0.9565 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 43 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 12 AP 0.1389 nr: adding to 0 name_rank_counts [704, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7984749155549544:.4 CMC: 1: 0.9552 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [705, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7987479847750697:.4 CMC: 1: 0.9553 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [706, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7990203149715852:.4 CMC: 1: 0.9553 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [707, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7992919091405425:.4 CMC: 1: 0.9554 2: 0.9568 3: 0.9568 4: 0.9568 5: 0.9568 6: 0.9568 7: 0.9568 8: 0.9568 9: 0.9568 10: 0.9568 11: 0.9568 12: 0.9568 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [708, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7995627702618103:.4 CMC: 1: 0.9555 2: 0.9568 3: 0.9568 4: 0.9568 5: 0.9568 6: 0.9568 7: 0.9568 8: 0.9568 9: 0.9568 10: 0.9568 11: 0.9568 12: 0.9568 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 9] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.9] max_possible 12 AP 0.7324 nr: adding to 0 name_rank_counts [709, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7994722643819525:.4 CMC: 1: 0.9555 2: 0.9569 3: 0.9569 4: 0.9569 5: 0.9569 6: 0.9569 7: 0.9569 8: 0.9569 9: 0.9569 10: 0.9569 11: 0.9569 12: 0.9569 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [710, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7994056799076834:.4 CMC: 1: 0.9556 2: 0.9569 3: 0.9569 4: 0.9569 5: 0.9569 6: 0.9569 7: 0.9569 8: 0.9569 9: 0.9569 10: 0.9569 11: 0.9569 12: 0.9569 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [711, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7996752959293129:.4 CMC: 1: 0.9556 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [712, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.7999441881495419:.4 CMC: 1: 0.9557 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [713, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8002123594791002:.4 CMC: 1: 0.9558 2: 0.9571 3: 0.9571 4: 0.9571 5: 0.9571 6: 0.9571 7: 0.9571 8: 0.9571 9: 0.9571 10: 0.9571 11: 0.9571 12: 0.9571 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [714, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8004798128131309:.4 CMC: 1: 0.9558 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [715, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32] At the end mAP 0.8007465510312951:.4 CMC: 1: 0.9559 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [] num_for_qnid 43 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [715, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7996774635132293:.4 CMC: 1: 0.9546 2: 0.9559 3: 0.9559 4: 0.9559 5: 0.9559 6: 0.9559 7: 0.9559 8: 0.9559 9: 0.9559 10: 0.9559 11: 0.9559 12: 0.9559 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [716, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7997223380063229:.4 CMC: 1: 0.9547 2: 0.956 3: 0.956 4: 0.956 5: 0.956 6: 0.956 7: 0.956 8: 0.956 9: 0.956 10: 0.956 11: 0.956 12: 0.956 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [717, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7997670929934427:.4 CMC: 1: 0.9547 2: 0.9561 3: 0.9561 4: 0.9561 5: 0.9561 6: 0.9561 7: 0.9561 8: 0.9561 9: 0.9561 10: 0.9561 11: 0.9561 12: 0.9561 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [718, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.8000333601570153:.4 CMC: 1: 0.9548 2: 0.9561 3: 0.9561 4: 0.9561 5: 0.9561 6: 0.9561 7: 0.9561 8: 0.9561 9: 0.9561 10: 0.9561 11: 0.9561 12: 0.9561 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [719, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.800298920103686:.4 CMC: 1: 0.9548 2: 0.9562 3: 0.9562 4: 0.9562 5: 0.9562 6: 0.9562 7: 0.9562 8: 0.9562 9: 0.9562 10: 0.9562 11: 0.9562 12: 0.9562 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [720, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.800563775647315:.4 CMC: 1: 0.9549 2: 0.9562 3: 0.9562 4: 0.9562 5: 0.9562 6: 0.9562 7: 0.9562 8: 0.9562 9: 0.9562 10: 0.9562 11: 0.9562 12: 0.9562 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 43 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [721, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7996138015515348:.4 CMC: 1: 0.955 2: 0.9563 3: 0.9563 4: 0.9563 5: 0.9563 6: 0.9563 7: 0.9563 8: 0.9563 9: 0.9563 10: 0.9563 11: 0.9563 12: 0.9563 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 43 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [722, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7986663406147383:.4 CMC: 1: 0.955 2: 0.9563 3: 0.9563 4: 0.9563 5: 0.9563 6: 0.9563 7: 0.9563 8: 0.9563 9: 0.9563 10: 0.9563 11: 0.9563 12: 0.9563 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [723, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7984919685223365:.4 CMC: 1: 0.9551 2: 0.9564 3: 0.9564 4: 0.9564 5: 0.9564 6: 0.9564 7: 0.9564 8: 0.9564 9: 0.9564 10: 0.9564 11: 0.9564 12: 0.9564 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [724, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7982081180801347:.4 CMC: 1: 0.9551 2: 0.9565 3: 0.9565 4: 0.9565 5: 0.9565 6: 0.9565 7: 0.9565 8: 0.9565 9: 0.9565 10: 0.9565 11: 0.9565 12: 0.9565 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 10] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6363636363636364] max_possible 12 AP 0.553 nr: adding to 0 name_rank_counts [725, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7978850906558266:.4 CMC: 1: 0.9552 2: 0.9565 3: 0.9565 4: 0.9565 5: 0.9565 6: 0.9565 7: 0.9565 8: 0.9565 9: 0.9565 10: 0.9565 11: 0.9565 12: 0.9565 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [726, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7976027857119813:.4 CMC: 1: 0.9553 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [727, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7973212226996572:.4 CMC: 1: 0.9553 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [728, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7970403986978641:.4 CMC: 1: 0.9554 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [729, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.796760310800925:.4 CMC: 1: 0.9554 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [730, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7965900311620059:.4 CMC: 1: 0.9555 2: 0.9568 3: 0.9568 4: 0.9568 5: 0.9568 6: 0.9568 7: 0.9568 8: 0.9568 9: 0.9568 10: 0.9568 11: 0.9568 12: 0.9568 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [731, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7965291291604869:.4 CMC: 1: 0.9556 2: 0.9569 3: 0.9569 4: 0.9569 5: 0.9569 6: 0.9569 7: 0.9569 8: 0.9569 9: 0.9569 10: 0.9569 11: 0.9569 12: 0.9569 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [732, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7962508056672399:.4 CMC: 1: 0.9556 2: 0.9569 3: 0.9569 4: 0.9569 5: 0.9569 6: 0.9569 7: 0.9569 8: 0.9569 9: 0.9569 10: 0.9569 11: 0.9569 12: 0.9569 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [733, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7959732079197379:.4 CMC: 1: 0.9557 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [734, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.795696333083037:.4 CMC: 1: 0.9557 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [735, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7954201783369386:.4 CMC: 1: 0.9558 2: 0.9571 3: 0.9571 4: 0.9571 5: 0.9571 6: 0.9571 7: 0.9571 8: 0.9571 9: 0.9571 10: 0.9571 11: 0.9571 12: 0.9571 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [736, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7954694162005701:.4 CMC: 1: 0.9558 2: 0.9571 3: 0.9571 4: 0.9571 5: 0.9571 6: 0.9571 7: 0.9571 8: 0.9571 9: 0.9571 10: 0.9571 11: 0.9571 12: 0.9571 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [737, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7957173745442079:.4 CMC: 1: 0.9559 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [738, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7951184314856447:.4 CMC: 1: 0.956 2: 0.9573 3: 0.9573 4: 0.9573 5: 0.9573 6: 0.9573 7: 0.9573 8: 0.9573 9: 0.9573 10: 0.9573 11: 0.9573 12: 0.9573 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [739, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7944132329973062:.4 CMC: 1: 0.956 2: 0.9573 3: 0.9573 4: 0.9573 5: 0.9573 6: 0.9573 7: 0.9573 8: 0.9573 9: 0.9573 10: 0.9573 11: 0.9573 12: 0.9573 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.3056 nr: adding to 0 name_rank_counts [740, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7937816339308439:.4 CMC: 1: 0.9561 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [741, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7930799802096429:.4 CMC: 1: 0.9561 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [742, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7923801348743211:.4 CMC: 1: 0.9562 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.9166666666666666] max_possible 11 AP 0.9842 nr: adding to 0 name_rank_counts [743, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7926269555239223:.4 CMC: 1: 0.9562 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [744, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.792893501853583:.4 CMC: 1: 0.9563 2: 0.9576 3: 0.9576 4: 0.9576 5: 0.9576 6: 0.9576 7: 0.9576 8: 0.9576 9: 0.9576 10: 0.9576 11: 0.9576 12: 0.9576 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [745, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.793159363853771:.4 CMC: 1: 0.9564 2: 0.9576 3: 0.9576 4: 0.9576 5: 0.9576 6: 0.9576 7: 0.9576 8: 0.9576 9: 0.9576 10: 0.9576 11: 0.9576 12: 0.9576 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [746, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7934245441565225:.4 CMC: 1: 0.9564 2: 0.9577 3: 0.9577 4: 0.9577 5: 0.9577 6: 0.9577 7: 0.9577 8: 0.9577 9: 0.9577 10: 0.9577 11: 0.9577 12: 0.9577 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [747, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7936890453803939:.4 CMC: 1: 0.9565 2: 0.9577 3: 0.9577 4: 0.9577 5: 0.9577 6: 0.9577 7: 0.9577 8: 0.9577 9: 0.9577 10: 0.9577 11: 0.9577 12: 0.9577 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [748, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7939528701305468:.4 CMC: 1: 0.9565 2: 0.9578 3: 0.9578 4: 0.9578 5: 0.9578 6: 0.9578 7: 0.9578 8: 0.9578 9: 0.9578 10: 0.9578 11: 0.9578 12: 0.9578 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [749, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7942160209988347:.4 CMC: 1: 0.9566 2: 0.9579 3: 0.9579 4: 0.9579 5: 0.9579 6: 0.9579 7: 0.9579 8: 0.9579 9: 0.9579 10: 0.9579 11: 0.9579 12: 0.9579 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [750, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7944785005638872:.4 CMC: 1: 0.9566 2: 0.9579 3: 0.9579 4: 0.9579 5: 0.9579 6: 0.9579 7: 0.9579 8: 0.9579 9: 0.9579 10: 0.9579 11: 0.9579 12: 0.9579 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [751, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7947403113911944:.4 CMC: 1: 0.9567 2: 0.958 3: 0.958 4: 0.958 5: 0.958 6: 0.958 7: 0.958 8: 0.958 9: 0.958 10: 0.958 11: 0.958 12: 0.958 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [752, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7950014560331903:.4 CMC: 1: 0.9567 2: 0.958 3: 0.958 4: 0.958 5: 0.958 6: 0.958 7: 0.958 8: 0.958 9: 0.958 10: 0.958 11: 0.958 12: 0.958 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [753, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7952619370293362:.4 CMC: 1: 0.9568 2: 0.9581 3: 0.9581 4: 0.9581 5: 0.9581 6: 0.9581 7: 0.9581 8: 0.9581 9: 0.9581 10: 0.9581 11: 0.9581 12: 0.9581 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 11 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 11 AP 1.0 nr: adding to 0 name_rank_counts [754, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7955217569062025:.4 CMC: 1: 0.9569 2: 0.9581 3: 0.9581 4: 0.9581 5: 0.9581 6: 0.9581 7: 0.9581 8: 0.9581 9: 0.9581 10: 0.9581 11: 0.9581 12: 0.9581 13: 1.0 ======================================== annot_ranks [0, 1, 35] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.08333333333333333] max_possible 5 AP 0.4167 nr: adding to 0 name_rank_counts [755, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7950415856891688:.4 CMC: 1: 0.9569 2: 0.9582 3: 0.9582 4: 0.9582 5: 0.9582 6: 0.9582 7: 0.9582 8: 0.9582 9: 0.9582 10: 0.9582 11: 0.9582 12: 0.9582 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [756, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33] At the end mAP 0.7942461743992669:.4 CMC: 1: 0.957 2: 0.9582 3: 0.9582 4: 0.9582 5: 0.9582 6: 0.9582 7: 0.9582 8: 0.9582 9: 0.9582 10: 0.9582 11: 0.9582 12: 0.9582 13: 1.0 ======================================== annot_ranks [] num_for_qnid 17 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [756, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7932420705125421:.4 CMC: 1: 0.9558 2: 0.957 3: 0.957 4: 0.957 5: 0.957 6: 0.957 7: 0.957 8: 0.957 9: 0.957 10: 0.957 11: 0.957 12: 0.957 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [757, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7924509399521308:.4 CMC: 1: 0.9558 2: 0.9571 3: 0.9571 4: 0.9571 5: 0.9571 6: 0.9571 7: 0.9571 8: 0.9571 9: 0.9571 10: 0.9571 11: 0.9571 12: 0.9571 13: 1.0 ======================================== annot_ranks [0, 7] num_for_qnid 17 name_ranks [0] precisions [1.0, 0.25] max_possible 12 AP 0.1042 nr: adding to 0 name_rank_counts [758, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7915829900488704:.4 CMC: 1: 0.9559 2: 0.9571 3: 0.9571 4: 0.9571 5: 0.9571 6: 0.9571 7: 0.9571 8: 0.9571 9: 0.9571 10: 0.9571 11: 0.9571 12: 0.9571 13: 1.0 ======================================== annot_ranks [0, 14, 17] num_for_qnid 17 name_ranks [0] precisions [1.0, 0.13333333333333333, 0.16666666666666666] max_possible 12 AP 0.1083 nr: adding to 0 name_rank_counts [759, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7907224741084227:.4 CMC: 1: 0.9559 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 18] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.47368421052631576] max_possible 12 AP 0.7061 nr: adding to 0 name_rank_counts [760, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7906160815005846:.4 CMC: 1: 0.956 2: 0.9572 3: 0.9572 4: 0.9572 5: 0.9572 6: 0.9572 7: 0.9572 8: 0.9572 9: 0.9572 10: 0.9572 11: 0.9572 12: 0.9572 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [761, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7898322254517983:.4 CMC: 1: 0.956 2: 0.9573 3: 0.9573 4: 0.9573 5: 0.9573 6: 0.9573 7: 0.9573 8: 0.9573 9: 0.9573 10: 0.9573 11: 0.9573 12: 0.9573 13: 1.0 ======================================== annot_ranks [0, 1, 18] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 0.15789473684210525] max_possible 12 AP 0.1798 nr: adding to 0 name_rank_counts [762, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.78906684569766:.4 CMC: 1: 0.9561 2: 0.9573 3: 0.9573 4: 0.9573 5: 0.9573 6: 0.9573 7: 0.9573 8: 0.9573 9: 0.9573 10: 0.9573 11: 0.9573 12: 0.9573 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [763, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7886001788066436:.4 CMC: 1: 0.9561 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6] max_possible 12 AP 0.4667 nr: adding to 0 name_rank_counts [764, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7881972582657926:.4 CMC: 1: 0.9562 2: 0.9574 3: 0.9574 4: 0.9574 5: 0.9574 6: 0.9574 7: 0.9574 8: 0.9574 9: 0.9574 10: 0.9574 11: 0.9574 12: 0.9574 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 15] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5] max_possible 12 AP 0.625 nr: adding to 0 name_rank_counts [765, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7879932616929604:.4 CMC: 1: 0.9563 2: 0.9575 3: 0.9575 4: 0.9575 5: 0.9575 6: 0.9575 7: 0.9575 8: 0.9575 9: 0.9575 10: 0.9575 11: 0.9575 12: 0.9575 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [766, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7874256463017497:.4 CMC: 1: 0.9563 2: 0.9576 3: 0.9576 4: 0.9576 5: 0.9576 6: 0.9576 7: 0.9576 8: 0.9576 9: 0.9576 10: 0.9576 11: 0.9576 12: 0.9576 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [767, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7867555395108499:.4 CMC: 1: 0.9564 2: 0.9576 3: 0.9576 4: 0.9576 5: 0.9576 6: 0.9576 7: 0.9576 8: 0.9576 9: 0.9576 10: 0.9576 11: 0.9576 12: 0.9576 13: 1.0 ======================================== annot_ranks [0, 1, 32] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 0.09090909090909091] max_possible 9 AP 0.2323 nr: adding to 0 name_rank_counts [768, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7860650883188355:.4 CMC: 1: 0.9564 2: 0.9577 3: 0.9577 4: 0.9577 5: 0.9577 6: 0.9577 7: 0.9577 8: 0.9577 9: 0.9577 10: 0.9577 11: 0.9577 12: 0.9577 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 9 AP 0.3333 nr: adding to 0 name_rank_counts [769, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7855019891210923:.4 CMC: 1: 0.9565 2: 0.9577 3: 0.9577 4: 0.9577 5: 0.9577 6: 0.9577 7: 0.9577 8: 0.9577 9: 0.9577 10: 0.9577 11: 0.9577 12: 0.9577 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0] max_possible 9 AP 0.2222 nr: adding to 0 name_rank_counts [770, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34] At the end mAP 0.7848022627025844:.4 CMC: 1: 0.9565 2: 0.9578 3: 0.9578 4: 0.9578 5: 0.9578 6: 0.9578 7: 0.9578 8: 0.9578 9: 0.9578 10: 0.9578 11: 0.9578 12: 0.9578 13: 1.0 ======================================== annot_ranks [] num_for_qnid 25 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [770, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35] At the end mAP 0.7838285626247896:.4 CMC: 1: 0.9553 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [771, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35] At the end mAP 0.783889906826411:.4 CMC: 1: 0.9554 2: 0.9566 3: 0.9566 4: 0.9566 5: 0.9566 6: 0.9566 7: 0.9566 8: 0.9566 9: 0.9566 10: 0.9566 11: 0.9566 12: 0.9566 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [772, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35] At the end mAP 0.7840542344994808:.4 CMC: 1: 0.9554 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 9 AP 0.3333 nr: adding to 0 name_rank_counts [773, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 35] At the end mAP 0.7834971011235027:.4 CMC: 1: 0.9555 2: 0.9567 3: 0.9567 4: 0.9567 5: 0.9567 6: 0.9567 7: 0.9567 8: 0.9567 9: 0.9567 10: 0.9567 11: 0.9567 12: 0.9567 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [773, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36] At the end mAP 0.7825298207517453:.4 CMC: 1: 0.9543 2: 0.9556 3: 0.9556 4: 0.9556 5: 0.9556 6: 0.9556 7: 0.9556 8: 0.9556 9: 0.9556 10: 0.9556 11: 0.9556 12: 0.9556 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [773, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 37] At the end mAP 0.7815649257816445:.4 CMC: 1: 0.9531 2: 0.9544 3: 0.9544 4: 0.9544 5: 0.9544 6: 0.9544 7: 0.9544 8: 0.9544 9: 0.9544 10: 0.9544 11: 0.9544 12: 0.9544 13: 1.0 ======================================== annot_ranks [] num_for_qnid 2 name_ranks [] precisions [] max_possible 2 AP 0.0 nr: adding to MAX_RANK name_rank_counts [773, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.78060240740014:.4 CMC: 1: 0.952 2: 0.9532 3: 0.9532 4: 0.9532 5: 0.9532 6: 0.9532 7: 0.9532 8: 0.9532 9: 0.9532 10: 0.9532 11: 0.9532 12: 0.9532 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [774, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7802572629875937:.4 CMC: 1: 0.952 2: 0.9533 3: 0.9533 4: 0.9533 5: 0.9533 6: 0.9533 7: 0.9533 8: 0.9533 9: 0.9533 10: 0.9533 11: 0.9533 12: 0.9533 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [775, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7799129665957171:.4 CMC: 1: 0.9521 2: 0.9533 3: 0.9533 4: 0.9533 5: 0.9533 6: 0.9533 7: 0.9533 8: 0.9533 9: 0.9533 10: 0.9533 11: 0.9533 12: 0.9533 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [776, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7793650161254565:.4 CMC: 1: 0.9521 2: 0.9534 3: 0.9534 4: 0.9534 5: 0.9534 6: 0.9534 7: 0.9534 8: 0.9534 9: 0.9534 10: 0.9534 11: 0.9534 12: 0.9534 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [777, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7789205328540609:.4 CMC: 1: 0.9522 2: 0.9534 3: 0.9534 4: 0.9534 5: 0.9534 6: 0.9534 7: 0.9534 8: 0.9534 9: 0.9534 10: 0.9534 11: 0.9534 12: 0.9534 13: 1.0 ======================================== annot_ranks [0, 1, 21] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 0.13636363636363635] max_possible 8 AP 0.267 nr: adding to 0 name_rank_counts [778, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7782940027704519:.4 CMC: 1: 0.9523 2: 0.9535 3: 0.9535 4: 0.9535 5: 0.9535 6: 0.9535 7: 0.9535 8: 0.9535 9: 0.9535 10: 0.9535 11: 0.9535 12: 0.9535 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0] max_possible 8 AP 0.25 nr: adding to 0 name_rank_counts [779, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7776481665812459:.4 CMC: 1: 0.9523 2: 0.9535 3: 0.9535 4: 0.9535 5: 0.9535 6: 0.9535 7: 0.9535 8: 0.9535 9: 0.9535 10: 0.9535 11: 0.9535 12: 0.9535 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7776481665812459:.4 CMC: 1: 0.9523 2: 0.9535 3: 0.9535 4: 0.9535 5: 0.9535 6: 0.9535 7: 0.9535 8: 0.9535 9: 0.9535 10: 0.9535 11: 0.9535 12: 0.9535 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [780, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7772074077290915:.4 CMC: 1: 0.9524 2: 0.9536 3: 0.9536 4: 0.9536 5: 0.9536 6: 0.9536 7: 0.9536 8: 0.9536 9: 0.9536 10: 0.9536 11: 0.9536 12: 0.9536 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [781, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7767677238985276:.4 CMC: 1: 0.9524 2: 0.9537 3: 0.9537 4: 0.9537 5: 0.9537 6: 0.9537 7: 0.9537 8: 0.9537 9: 0.9537 10: 0.9537 11: 0.9537 12: 0.9537 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [782, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7763291111613388:.4 CMC: 1: 0.9525 2: 0.9537 3: 0.9537 4: 0.9537 5: 0.9537 6: 0.9537 7: 0.9537 8: 0.9537 9: 0.9537 10: 0.9537 11: 0.9537 12: 0.9537 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5, 78] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.0759493670886076] max_possible 12 AP 0.4091 nr: adding to 0 name_rank_counts [783, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7758823688018991:.4 CMC: 1: 0.9526 2: 0.9538 3: 0.9538 4: 0.9538 5: 0.9538 6: 0.9538 7: 0.9538 8: 0.9538 9: 0.9538 10: 0.9538 11: 0.9538 12: 0.9538 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7758823688018991:.4 CMC: 1: 0.9526 2: 0.9538 3: 0.9538 4: 0.9538 5: 0.9538 6: 0.9538 7: 0.9538 8: 0.9538 9: 0.9538 10: 0.9538 11: 0.9538 12: 0.9538 13: 1.0 ======================================== annot_ranks [0, 1, 6, 22] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 0.42857142857142855, 0.17391304347826086] max_possible 8 AP 0.3253 nr: adding to 0 name_rank_counts [784, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.77533489394188:.4 CMC: 1: 0.9526 2: 0.9538 3: 0.9538 4: 0.9538 5: 0.9538 6: 0.9538 7: 0.9538 8: 0.9538 9: 0.9538 10: 0.9538 11: 0.9538 12: 0.9538 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0] max_possible 8 AP 0.25 nr: adding to 0 name_rank_counts [785, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7746973515948632:.4 CMC: 1: 0.9527 2: 0.9539 3: 0.9539 4: 0.9539 5: 0.9539 6: 0.9539 7: 0.9539 8: 0.9539 9: 0.9539 10: 0.9539 11: 0.9539 12: 0.9539 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7746973515948632:.4 CMC: 1: 0.9527 2: 0.9539 3: 0.9539 4: 0.9539 5: 0.9539 6: 0.9539 7: 0.9539 8: 0.9539 9: 0.9539 10: 0.9539 11: 0.9539 12: 0.9539 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0] max_possible 8 AP 0.25 nr: adding to 0 name_rank_counts [786, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7740613548050512:.4 CMC: 1: 0.9527 2: 0.9539 3: 0.9539 4: 0.9539 5: 0.9539 6: 0.9539 7: 0.9539 8: 0.9539 9: 0.9539 10: 0.9539 11: 0.9539 12: 0.9539 13: 1.0 ======================================== annot_ranks [0, 1, 23] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 0.125] max_possible 8 AP 0.2656 nr: adding to 0 name_rank_counts [787, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7734458144239312:.4 CMC: 1: 0.9528 2: 0.954 3: 0.954 4: 0.954 5: 0.954 6: 0.954 7: 0.954 8: 0.954 9: 0.954 10: 0.954 11: 0.954 12: 0.954 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [788, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7730144007023384:.4 CMC: 1: 0.9528 2: 0.9541 3: 0.9541 4: 0.9541 5: 0.9541 6: 0.9541 7: 0.9541 8: 0.9541 9: 0.9541 10: 0.9541 11: 0.9541 12: 0.9541 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [789, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38] At the end mAP 0.7725840290428752:.4 CMC: 1: 0.9529 2: 0.9541 3: 0.9541 4: 0.9541 5: 0.9541 6: 0.9541 7: 0.9541 8: 0.9541 9: 0.9541 10: 0.9541 11: 0.9541 12: 0.9541 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7725840290428752:.4 CMC: 1: 0.9529 2: 0.9541 3: 0.9541 4: 0.9541 5: 0.9541 6: 0.9541 7: 0.9541 8: 0.9541 9: 0.9541 10: 0.9541 11: 0.9541 12: 0.9541 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [789, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 39] At the end mAP 0.7716520820838367:.4 CMC: 1: 0.9517 2: 0.953 3: 0.953 4: 0.953 5: 0.953 6: 0.953 7: 0.953 8: 0.953 9: 0.953 10: 0.953 11: 0.953 12: 0.953 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [789, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7707223807801212:.4 CMC: 1: 0.9506 2: 0.9518 3: 0.9518 4: 0.9518 5: 0.9518 6: 0.9518 7: 0.9518 8: 0.9518 9: 0.9518 10: 0.9518 11: 0.9518 12: 0.9518 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [790, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7705971633142806:.4 CMC: 1: 0.9507 2: 0.9519 3: 0.9519 4: 0.9519 5: 0.9519 6: 0.9519 7: 0.9519 8: 0.9519 9: 0.9519 10: 0.9519 11: 0.9519 12: 0.9519 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [791, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7708728878776049:.4 CMC: 1: 0.9507 2: 0.9519 3: 0.9519 4: 0.9519 5: 0.9519 6: 0.9519 7: 0.9519 8: 0.9519 9: 0.9519 10: 0.9519 11: 0.9519 12: 0.9519 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 16] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7058823529411765] max_possible 12 AP 0.9755 nr: adding to 0 name_rank_counts [792, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7711185269030559:.4 CMC: 1: 0.9508 2: 0.952 3: 0.952 4: 0.952 5: 0.952 6: 0.952 7: 0.952 8: 0.952 9: 0.952 10: 0.952 11: 0.952 12: 0.952 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [793, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7706935246725567:.4 CMC: 1: 0.9508 2: 0.952 3: 0.952 4: 0.952 5: 0.952 6: 0.952 7: 0.952 8: 0.952 9: 0.952 10: 0.952 11: 0.952 12: 0.952 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [794, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7708683428066814:.4 CMC: 1: 0.9509 2: 0.9521 3: 0.9521 4: 0.9521 5: 0.9521 6: 0.9521 7: 0.9521 8: 0.9521 9: 0.9521 10: 0.9521 11: 0.9521 12: 0.9521 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [795, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7706440186326703:.4 CMC: 1: 0.951 2: 0.9522 3: 0.9522 4: 0.9522 5: 0.9522 6: 0.9522 7: 0.9522 8: 0.9522 9: 0.9522 10: 0.9522 11: 0.9522 12: 0.9522 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [796, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7704202304781906:.4 CMC: 1: 0.951 2: 0.9522 3: 0.9522 4: 0.9522 5: 0.9522 6: 0.9522 7: 0.9522 8: 0.9522 9: 0.9522 10: 0.9522 11: 0.9522 12: 0.9522 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [797, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7704953057799272:.4 CMC: 1: 0.9511 2: 0.9523 3: 0.9523 4: 0.9523 5: 0.9523 6: 0.9523 7: 0.9523 8: 0.9523 9: 0.9523 10: 0.9523 11: 0.9523 12: 0.9523 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [798, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7704708775251239:.4 CMC: 1: 0.9511 2: 0.9523 3: 0.9523 4: 0.9523 5: 0.9523 6: 0.9523 7: 0.9523 8: 0.9523 9: 0.9523 10: 0.9523 11: 0.9523 12: 0.9523 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [799, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.769851269337594:.4 CMC: 1: 0.9512 2: 0.9524 3: 0.9524 4: 0.9524 5: 0.9524 6: 0.9524 7: 0.9524 8: 0.9524 9: 0.9524 10: 0.9524 11: 0.9524 12: 0.9524 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [800, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.769629488200847:.4 CMC: 1: 0.9512 2: 0.9524 3: 0.9524 4: 0.9524 5: 0.9524 6: 0.9524 7: 0.9524 8: 0.9524 9: 0.9524 10: 0.9524 11: 0.9524 12: 0.9524 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 31] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.3125] max_possible 12 AP 0.776 nr: adding to 0 name_rank_counts [801, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7696371036147018:.4 CMC: 1: 0.9513 2: 0.9525 3: 0.9525 4: 0.9525 5: 0.9525 6: 0.9525 7: 0.9525 8: 0.9525 9: 0.9525 10: 0.9525 11: 0.9525 12: 0.9525 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 17] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.3888888888888889] max_possible 12 AP 0.5324 nr: adding to 0 name_rank_counts [802, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7693556923499245:.4 CMC: 1: 0.9514 2: 0.9526 3: 0.9526 4: 0.9526 5: 0.9526 6: 0.9526 7: 0.9526 8: 0.9526 9: 0.9526 10: 0.9526 11: 0.9526 12: 0.9526 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [803, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40] At the end mAP 0.7689378143574087:.4 CMC: 1: 0.9514 2: 0.9526 3: 0.9526 4: 0.9526 5: 0.9526 6: 0.9526 7: 0.9526 8: 0.9526 9: 0.9526 10: 0.9526 11: 0.9526 12: 0.9526 13: 1.0 ======================================== annot_ranks [] num_for_qnid 5 name_ranks [] precisions [] max_possible 5 AP 0.0 nr: adding to MAX_RANK name_rank_counts [803, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7680278287782876:.4 CMC: 1: 0.9503 2: 0.9515 3: 0.9515 4: 0.9515 5: 0.9515 6: 0.9515 7: 0.9515 8: 0.9515 9: 0.9515 10: 0.9515 11: 0.9515 12: 0.9515 13: 1.0 ======================================== annot_ranks [0, 1, 8] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.3333333333333333] max_possible 5 AP 0.4667 nr: adding to 0 name_rank_counts [804, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7676716099105434:.4 CMC: 1: 0.9504 2: 0.9515 3: 0.9515 4: 0.9515 5: 0.9515 6: 0.9515 7: 0.9515 8: 0.9515 9: 0.9515 10: 0.9515 11: 0.9515 12: 0.9515 13: 1.0 ======================================== annot_ranks [1] num_for_qnid 5 name_ranks [1] precisions [0.5] max_possible 5 AP 0.1 nr: adding to 1 name_rank_counts [804, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7668833317406372:.4 CMC: 1: 0.9492 2: 0.9516 3: 0.9516 4: 0.9516 5: 0.9516 6: 0.9516 7: 0.9516 8: 0.9516 9: 0.9516 10: 0.9516 11: 0.9516 12: 0.9516 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 5 AP 0.6 nr: adding to 0 name_rank_counts [805, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7666865353588675:.4 CMC: 1: 0.9493 2: 0.9517 3: 0.9517 4: 0.9517 5: 0.9517 6: 0.9517 7: 0.9517 8: 0.9517 9: 0.9517 10: 0.9517 11: 0.9517 12: 0.9517 13: 1.0 ======================================== annot_ranks [0, 11, 23, 27] num_for_qnid 5 name_ranks [0] precisions [1.0, 0.16666666666666666, 0.125, 0.14285714285714285] max_possible 5 AP 0.2869 nr: adding to 0 name_rank_counts [806, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7661214213736449:.4 CMC: 1: 0.9494 2: 0.9517 3: 0.9517 4: 0.9517 5: 0.9517 6: 0.9517 7: 0.9517 8: 0.9517 9: 0.9517 10: 0.9517 11: 0.9517 12: 0.9517 13: 1.0 ======================================== annot_ranks [0, 1, 8, 9] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 0.3333333333333333, 0.4] max_possible 12 AP 0.2278 nr: adding to 0 name_rank_counts [807, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7654880759105909:.4 CMC: 1: 0.9494 2: 0.9518 3: 0.9518 4: 0.9518 5: 0.9518 6: 0.9518 7: 0.9518 8: 0.9518 9: 0.9518 10: 0.9518 11: 0.9518 12: 0.9518 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9, 12] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6, 0.5384615384615384] max_possible 12 AP 0.5115 nr: adding to 0 name_rank_counts [808, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 41] At the end mAP 0.7651896627327154:.4 CMC: 1: 0.9495 2: 0.9518 3: 0.9518 4: 0.9518 5: 0.9518 6: 0.9518 7: 0.9518 8: 0.9518 9: 0.9518 10: 0.9518 11: 0.9518 12: 0.9518 13: 1.0 ======================================== annot_ranks [] num_for_qnid 15 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [808, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7642915527999306:.4 CMC: 1: 0.9484 2: 0.9507 3: 0.9507 4: 0.9507 5: 0.9507 6: 0.9507 7: 0.9507 8: 0.9507 9: 0.9507 10: 0.9507 11: 0.9507 12: 0.9507 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 42] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.13953488372093023] max_possible 12 AP 0.4283 nr: adding to 0 name_rank_counts [809, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7638976524726661:.4 CMC: 1: 0.9484 2: 0.9508 3: 0.9508 4: 0.9508 5: 0.9508 6: 0.9508 7: 0.9508 8: 0.9508 9: 0.9508 10: 0.9508 11: 0.9508 12: 0.9508 13: 1.0 ======================================== annot_ranks [0, 1, 2, 21, 27] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.18181818181818182, 0.17857142857142858] max_possible 12 AP 0.28 nr: adding to 0 name_rank_counts [810, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7633310656050546:.4 CMC: 1: 0.9485 2: 0.9508 3: 0.9508 4: 0.9508 5: 0.9508 6: 0.9508 7: 0.9508 8: 0.9508 9: 0.9508 10: 0.9508 11: 0.9508 12: 0.9508 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [811, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7631205419415789:.4 CMC: 1: 0.9485 2: 0.9509 3: 0.9509 4: 0.9509 5: 0.9509 6: 0.9509 7: 0.9509 8: 0.9509 9: 0.9509 10: 0.9509 11: 0.9509 12: 0.9509 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 8, 34] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7777777777777778, 0.22857142857142856] max_possible 12 AP 0.5839 nr: adding to 0 name_rank_counts [812, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7629111282639164:.4 CMC: 1: 0.9486 2: 0.9509 3: 0.9509 4: 0.9509 5: 0.9509 6: 0.9509 7: 0.9509 8: 0.9509 9: 0.9509 10: 0.9509 11: 0.9509 12: 0.9509 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [813, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7631877780559072:.4 CMC: 1: 0.9487 2: 0.951 3: 0.951 4: 0.951 5: 0.951 6: 0.951 7: 0.951 8: 0.951 9: 0.951 10: 0.951 11: 0.951 12: 0.951 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [814, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7631724076852127:.4 CMC: 1: 0.9487 2: 0.951 3: 0.951 4: 0.951 5: 0.951 6: 0.951 7: 0.951 8: 0.951 9: 0.951 10: 0.951 11: 0.951 12: 0.951 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [815, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7629630490421953:.4 CMC: 1: 0.9488 2: 0.9511 3: 0.9511 4: 0.9511 5: 0.9511 6: 0.9511 7: 0.9511 8: 0.9511 9: 0.9511 10: 0.9511 11: 0.9511 12: 0.9511 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 7, 8] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875, 0.8888888888888888] max_possible 12 AP 0.647 nr: adding to 0 name_rank_counts [816, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7628281975209145:.4 CMC: 1: 0.9488 2: 0.9512 3: 0.9512 4: 0.9512 5: 0.9512 6: 0.9512 7: 0.9512 8: 0.9512 9: 0.9512 10: 0.9512 11: 0.9512 12: 0.9512 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [817, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7623293649260393:.4 CMC: 1: 0.9489 2: 0.9512 3: 0.9512 4: 0.9512 5: 0.9512 6: 0.9512 7: 0.9512 8: 0.9512 9: 0.9512 10: 0.9512 11: 0.9512 12: 0.9512 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [818, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7623150617184685:.4 CMC: 1: 0.949 2: 0.9513 3: 0.9513 4: 0.9513 5: 0.9513 6: 0.9513 7: 0.9513 8: 0.9513 9: 0.9513 10: 0.9513 11: 0.9513 12: 0.9513 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7623150617184685:.4 CMC: 1: 0.949 2: 0.9513 3: 0.9513 4: 0.9513 5: 0.9513 6: 0.9513 7: 0.9513 8: 0.9513 9: 0.9513 10: 0.9513 11: 0.9513 12: 0.9513 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 5 name_ranks [0] precisions [1.0] max_possible 5 AP 0.2 nr: adding to 0 name_rank_counts [819, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7616634799551794:.4 CMC: 1: 0.949 2: 0.9513 3: 0.9513 4: 0.9513 5: 0.9513 6: 0.9513 7: 0.9513 8: 0.9513 9: 0.9513 10: 0.9513 11: 0.9513 12: 0.9513 13: 1.0 ======================================== annot_ranks [0, 1, 24] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.12] max_possible 5 AP 0.424 nr: adding to 0 name_rank_counts [820, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42] At the end mAP 0.7612726657422684:.4 CMC: 1: 0.9491 2: 0.9514 3: 0.9514 4: 0.9514 5: 0.9514 6: 0.9514 7: 0.9514 8: 0.9514 9: 0.9514 10: 0.9514 11: 0.9514 12: 0.9514 13: 1.0 ======================================== annot_ranks [] num_for_qnid 5 name_ranks [] precisions [] max_possible 5 AP 0.0 nr: adding to MAX_RANK name_rank_counts [820, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.76039258173563:.4 CMC: 1: 0.948 2: 0.9503 3: 0.9503 4: 0.9503 5: 0.9503 6: 0.9503 7: 0.9503 8: 0.9503 9: 0.9503 10: 0.9503 11: 0.9503 12: 0.9503 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0] max_possible 5 AP 0.4 nr: adding to 0 name_rank_counts [821, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7599764240199997:.4 CMC: 1: 0.948 2: 0.9503 3: 0.9503 4: 0.9503 5: 0.9503 6: 0.9503 7: 0.9503 8: 0.9503 9: 0.9503 10: 0.9503 11: 0.9503 12: 0.9503 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 4 name_ranks [0] precisions [1.0, 1.0] max_possible 4 AP 0.5 nr: adding to 0 name_rank_counts [822, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7596765665528487:.4 CMC: 1: 0.9481 2: 0.9504 3: 0.9504 4: 0.9504 5: 0.9504 6: 0.9504 7: 0.9504 8: 0.9504 9: 0.9504 10: 0.9504 11: 0.9504 12: 0.9504 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7596765665528487:.4 CMC: 1: 0.9481 2: 0.9504 3: 0.9504 4: 0.9504 5: 0.9504 6: 0.9504 7: 0.9504 8: 0.9504 9: 0.9504 10: 0.9504 11: 0.9504 12: 0.9504 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 4 name_ranks [0] precisions [1.0] max_possible 4 AP 0.25 nr: adding to 0 name_rank_counts [823, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7590893815683407:.4 CMC: 1: 0.9482 2: 0.9505 3: 0.9505 4: 0.9505 5: 0.9505 6: 0.9505 7: 0.9505 8: 0.9505 9: 0.9505 10: 0.9505 11: 0.9505 12: 0.9505 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 4 name_ranks [0] precisions [1.0, 1.0] max_possible 4 AP 0.5 nr: adding to 0 name_rank_counts [824, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7587912349842575:.4 CMC: 1: 0.9482 2: 0.9505 3: 0.9505 4: 0.9505 5: 0.9505 6: 0.9505 7: 0.9505 8: 0.9505 9: 0.9505 10: 0.9505 11: 0.9505 12: 0.9505 13: 1.0 ======================================== annot_ranks [0, 1, 32] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.09090909090909091] max_possible 5 AP 0.4182 nr: adding to 0 name_rank_counts [825, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7583997299074732:.4 CMC: 1: 0.9483 2: 0.9506 3: 0.9506 4: 0.9506 5: 0.9506 6: 0.9506 7: 0.9506 8: 0.9506 9: 0.9506 10: 0.9506 11: 0.9506 12: 0.9506 13: 1.0 ======================================== annot_ranks [0, 72] num_for_qnid 5 name_ranks [0] precisions [1.0, 0.0273972602739726] max_possible 5 AP 0.2055 nr: adding to 0 name_rank_counts [826, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7577649190258972:.4 CMC: 1: 0.9483 2: 0.9506 3: 0.9506 4: 0.9506 5: 0.9506 6: 0.9506 7: 0.9506 8: 0.9506 9: 0.9506 10: 0.9506 11: 0.9506 12: 0.9506 13: 1.0 ======================================== annot_ranks [1, 2] num_for_qnid 4 name_ranks [1] precisions [0.5, 0.6666666666666666] max_possible 4 AP 0.2917 nr: adding to 1 name_rank_counts [826, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7572304026814486:.4 CMC: 1: 0.9472 2: 0.9507 3: 0.9507 4: 0.9507 5: 0.9507 6: 0.9507 7: 0.9507 8: 0.9507 9: 0.9507 10: 0.9507 11: 0.9507 12: 0.9507 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 4 name_ranks [0] precisions [1.0] max_possible 4 AP 0.25 nr: adding to 0 name_rank_counts [827, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7566493827471056:.4 CMC: 1: 0.9473 2: 0.9507 3: 0.9507 4: 0.9507 5: 0.9507 6: 0.9507 7: 0.9507 8: 0.9507 9: 0.9507 10: 0.9507 11: 0.9507 12: 0.9507 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [828, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.756355733567761:.4 CMC: 1: 0.9474 2: 0.9508 3: 0.9508 4: 0.9508 5: 0.9508 6: 0.9508 7: 0.9508 8: 0.9508 9: 0.9508 10: 0.9508 11: 0.9508 12: 0.9508 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [829, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43] At the end mAP 0.7560627555865407:.4 CMC: 1: 0.9474 2: 0.9509 3: 0.9509 4: 0.9509 5: 0.9509 6: 0.9509 7: 0.9509 8: 0.9509 9: 0.9509 10: 0.9509 11: 0.9509 12: 0.9509 13: 1.0 ======================================== annot_ranks [] num_for_qnid 2 name_ranks [] precisions [] max_possible 2 AP 0.0 nr: adding to MAX_RANK name_rank_counts [829, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7551996702491132:.4 CMC: 1: 0.9463 2: 0.9498 3: 0.9498 4: 0.9498 5: 0.9498 6: 0.9498 7: 0.9498 8: 0.9498 9: 0.9498 10: 0.9498 11: 0.9498 12: 0.9498 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 6 AP 1.0 nr: adding to 0 name_rank_counts [830, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.755478804034462:.4 CMC: 1: 0.9464 2: 0.9498 3: 0.9498 4: 0.9498 5: 0.9498 6: 0.9498 7: 0.9498 8: 0.9498 9: 0.9498 10: 0.9498 11: 0.9498 12: 0.9498 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 14] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.3333333333333333] max_possible 6 AP 0.7222 nr: adding to 0 name_rank_counts [831, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7554409263786394:.4 CMC: 1: 0.9465 2: 0.9499 3: 0.9499 4: 0.9499 5: 0.9499 6: 0.9499 7: 0.9499 8: 0.9499 9: 0.9499 10: 0.9499 11: 0.9499 12: 0.9499 13: 1.0 ======================================== annot_ranks [0, 1, 2, 21] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.18181818181818182] max_possible 6 AP 0.5303 nr: adding to 0 name_rank_counts [832, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7551847968040367:.4 CMC: 1: 0.9465 2: 0.9499 3: 0.9499 4: 0.9499 5: 0.9499 6: 0.9499 7: 0.9499 8: 0.9499 9: 0.9499 10: 0.9499 11: 0.9499 12: 0.9499 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 6 AP 0.9762 nr: adding to 0 name_rank_counts [833, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7554359396215213:.4 CMC: 1: 0.9466 2: 0.95 3: 0.95 4: 0.95 5: 0.95 6: 0.95 7: 0.95 8: 0.95 9: 0.95 10: 0.95 11: 0.95 12: 0.95 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5, 8] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.6666666666666666] max_possible 6 AP 0.9167 nr: adding to 0 name_rank_counts [834, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7556189483922876:.4 CMC: 1: 0.9467 2: 0.9501 3: 0.9501 4: 0.9501 5: 0.9501 6: 0.9501 7: 0.9501 8: 0.9501 9: 0.9501 10: 0.9501 11: 0.9501 12: 0.9501 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334] max_possible 6 AP 0.8056 nr: adding to 0 name_rank_counts [835, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7556755658607268:.4 CMC: 1: 0.9467 2: 0.9501 3: 0.9501 4: 0.9501 5: 0.9501 6: 0.9501 7: 0.9501 8: 0.9501 9: 0.9501 10: 0.9501 11: 0.9501 12: 0.9501 13: 1.0 ======================================== annot_ranks [0, 1, 2, 13] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.2857142857142857] max_possible 6 AP 0.5476 nr: adding to 0 name_rank_counts [836, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7554399412647567:.4 CMC: 1: 0.9468 2: 0.9502 3: 0.9502 4: 0.9502 5: 0.9502 6: 0.9502 7: 0.9502 8: 0.9502 9: 0.9502 10: 0.9502 11: 0.9502 12: 0.9502 13: 1.0 ======================================== annot_ranks [0, 1, 14, 44, 98] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.2, 0.08888888888888889, 0.050505050505050504] max_possible 5 AP 0.4679 nr: adding to 0 name_rank_counts [837, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7551146458423743:.4 CMC: 1: 0.9468 2: 0.9502 3: 0.9502 4: 0.9502 5: 0.9502 6: 0.9502 7: 0.9502 8: 0.9502 9: 0.9502 10: 0.9502 11: 0.9502 12: 0.9502 13: 1.0 ======================================== annot_ranks [0, 1, 10] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.2727272727272727] max_possible 5 AP 0.4545 nr: adding to 0 name_rank_counts [838, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.754775019637519:.4 CMC: 1: 0.9469 2: 0.9503 3: 0.9503 4: 0.9503 5: 0.9503 6: 0.9503 7: 0.9503 8: 0.9503 9: 0.9503 10: 0.9503 11: 0.9503 12: 0.9503 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0] max_possible 5 AP 0.4 nr: adding to 0 name_rank_counts [839, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7543745963647904:.4 CMC: 1: 0.947 2: 0.9503 3: 0.9503 4: 0.9503 5: 0.9503 6: 0.9503 7: 0.9503 8: 0.9503 9: 0.9503 10: 0.9503 11: 0.9503 12: 0.9503 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0] max_possible 5 AP 0.4 nr: adding to 0 name_rank_counts [840, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7539750759630264:.4 CMC: 1: 0.947 2: 0.9504 3: 0.9504 4: 0.9504 5: 0.9504 6: 0.9504 7: 0.9504 8: 0.9504 9: 0.9504 10: 0.9504 11: 0.9504 12: 0.9504 13: 1.0 ======================================== annot_ranks [0, 1, 64] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.046153846153846156] max_possible 5 AP 0.4092 nr: adding to 0 name_rank_counts [841, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44] At the end mAP 0.7535868503923817:.4 CMC: 1: 0.9471 2: 0.9505 3: 0.9505 4: 0.9505 5: 0.9505 6: 0.9505 7: 0.9505 8: 0.9505 9: 0.9505 10: 0.9505 11: 0.9505 12: 0.9505 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [841, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45] At the end mAP 0.7527391711455962:.4 CMC: 1: 0.946 2: 0.9494 3: 0.9494 4: 0.9494 5: 0.9494 6: 0.9494 7: 0.9494 8: 0.9494 9: 0.9494 10: 0.9494 11: 0.9494 12: 0.9494 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [841, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46] At the end mAP 0.7518933967959943:.4 CMC: 1: 0.9449 2: 0.9483 3: 0.9483 4: 0.9483 5: 0.9483 6: 0.9483 7: 0.9483 8: 0.9483 9: 0.9483 10: 0.9483 11: 0.9483 12: 0.9483 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [841, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 47] At the end mAP 0.7510495209297811:.4 CMC: 1: 0.9439 2: 0.9473 3: 0.9473 4: 0.9473 5: 0.9473 6: 0.9473 7: 0.9473 8: 0.9473 9: 0.9473 10: 0.9473 11: 0.9473 12: 0.9473 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [841, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48] At the end mAP 0.7502075371619226:.4 CMC: 1: 0.9428 2: 0.9462 3: 0.9462 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7502075371619226:.4 CMC: 1: 0.9428 2: 0.9462 3: 0.9462 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [] num_for_qnid 0 name_ranks [] num_for_qnid is 0, so not adding to mAP or CMC At the end mAP 0.7502075371619226:.4 CMC: 1: 0.9428 2: 0.9462 3: 0.9462 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [842, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48] At the end mAP 0.7497407127455413:.4 CMC: 1: 0.9429 2: 0.9462 3: 0.9462 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [843, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48] At the end mAP 0.7492749326790847:.4 CMC: 1: 0.943 2: 0.9463 3: 0.9463 4: 0.9463 5: 0.9463 6: 0.9463 7: 0.9463 8: 0.9463 9: 0.9463 10: 0.9463 11: 0.9463 12: 0.9463 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [844, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48] At the end mAP 0.748996413201231:.4 CMC: 1: 0.943 2: 0.9464 3: 0.9464 4: 0.9464 5: 0.9464 6: 0.9464 7: 0.9464 8: 0.9464 9: 0.9464 10: 0.9464 11: 0.9464 12: 0.9464 13: 1.0 ======================================== annot_ranks [] num_for_qnid 2 name_ranks [] precisions [] max_possible 2 AP 0.0 nr: adding to MAX_RANK name_rank_counts [844, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49] At the end mAP 0.7481604797043546:.4 CMC: 1: 0.942 2: 0.9453 3: 0.9453 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 1 name_ranks [0] precisions [1.0] max_possible 1 AP 1.0 nr: adding to 0 name_rank_counts [845, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49] At the end mAP 0.7484412372520644:.4 CMC: 1: 0.942 2: 0.9454 3: 0.9454 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 4 name_ranks [0] precisions [1.0] max_possible 4 AP 0.25 nr: adding to 0 name_rank_counts [846, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49] At the end mAP 0.7478861801949908:.4 CMC: 1: 0.9421 2: 0.9454 3: 0.9454 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 32] num_for_qnid 4 name_ranks [0] precisions [1.0, 0.06060606060606061] max_possible 4 AP 0.2652 nr: adding to 0 name_rank_counts [847, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49] At the end mAP 0.7473492117132962:.4 CMC: 1: 0.9422 2: 0.9455 3: 0.9455 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [] num_for_qnid 4 name_ranks [] precisions [] max_possible 4 AP 0.0 nr: adding to MAX_RANK name_rank_counts [847, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 50] At the end mAP 0.7465188237002813:.4 CMC: 1: 0.9411 2: 0.9444 3: 0.9444 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [] num_for_qnid 4 name_ranks [] precisions [] max_possible 4 AP 0.0 nr: adding to MAX_RANK name_rank_counts [847, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.745690278945897:.4 CMC: 1: 0.9401 2: 0.9434 3: 0.9434 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 4 name_ranks [0] precisions [1.0, 1.0] max_possible 4 AP 0.5 nr: adding to 0 name_rank_counts [848, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7454178950446266:.4 CMC: 1: 0.9401 2: 0.9435 3: 0.9435 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 50] num_for_qnid 3 name_ranks [0] precisions [1.0, 0.0392156862745098] max_possible 3 AP 0.3464 nr: adding to 0 name_rank_counts [849, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7449760205526151:.4 CMC: 1: 0.9402 2: 0.9435 3: 0.9435 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 56] num_for_qnid 3 name_ranks [0] precisions [1.0, 0.03508771929824561] max_possible 3 AP 0.345 nr: adding to 0 name_rank_counts [850, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7445336015473203:.4 CMC: 1: 0.9403 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [851, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7442633986726823:.4 CMC: 1: 0.9403 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 1 name_ranks [0] precisions [1.0] max_possible 1 AP 1.0 nr: adding to 0 name_rank_counts [852, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7445456686520724:.4 CMC: 1: 0.9404 2: 0.9437 3: 0.9437 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 18] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.42105263157894735] max_possible 12 AP 0.6184 nr: adding to 0 name_rank_counts [853, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7444066117435602:.4 CMC: 1: 0.9405 2: 0.9438 3: 0.9438 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 28] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.2413793103448276] max_possible 12 AP 0.5201 nr: adding to 0 name_rank_counts [854, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7441595944867156:.4 CMC: 1: 0.9405 2: 0.9438 3: 0.9438 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.8461538461538461] max_possible 12 AP 0.89 nr: adding to 0 name_rank_counts [855, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.744319987963581:.4 CMC: 1: 0.9406 2: 0.9439 3: 0.9439 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [856, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7445093799181997:.4 CMC: 1: 0.9407 2: 0.944 3: 0.944 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [857, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7443324578033975:.4 CMC: 1: 0.9407 2: 0.944 3: 0.944 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [858, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7439731751376774:.4 CMC: 1: 0.9408 2: 0.9441 3: 0.9441 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [859, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51] At the end mAP 0.7435234053219004:.4 CMC: 1: 0.9409 2: 0.9441 3: 0.9441 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [58] num_for_qnid 3 name_ranks [33] precisions [0.01694915254237288] max_possible 3 AP 0.00565 nr: adding to MAX_RANK name_rank_counts [859, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52] At the end mAP 0.7427161036941019:.4 CMC: 1: 0.9398 2: 0.9431 3: 0.9431 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [26] num_for_qnid 3 name_ranks [17] precisions [0.037037037037037035] max_possible 3 AP 0.01235 nr: adding to MAX_RANK name_rank_counts [859, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7419178846507339:.4 CMC: 1: 0.9388 2: 0.9421 3: 0.9421 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 57] num_for_qnid 3 name_ranks [0] precisions [1.0, 0.034482758620689655] max_possible 3 AP 0.3448 nr: adding to 0 name_rank_counts [860, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7414843799581096:.4 CMC: 1: 0.9389 2: 0.9421 3: 0.9421 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 11] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8333333333333334] max_possible 12 AP 0.8194 nr: adding to 0 name_rank_counts [861, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7415693963861208:.4 CMC: 1: 0.9389 2: 0.9422 3: 0.9422 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 15] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.625] max_possible 12 AP 0.8021 nr: adding to 0 name_rank_counts [862, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7416353157074141:.4 CMC: 1: 0.939 2: 0.9423 3: 0.9423 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666] max_possible 12 AP 0.9097 nr: adding to 0 name_rank_counts [863, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7418182176731538:.4 CMC: 1: 0.9391 2: 0.9423 3: 0.9423 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 3, 13] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.2857142857142857] max_possible 12 AP 0.253 nr: adding to 0 name_rank_counts [864, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.741286867643592:.4 CMC: 1: 0.9391 2: 0.9424 3: 0.9424 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [865, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7414772908781447:.4 CMC: 1: 0.9392 2: 0.9425 3: 0.9425 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 35] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.3333333333333333] max_possible 12 AP 0.9444 nr: adding to 0 name_rank_counts [866, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7416974287887372:.4 CMC: 1: 0.9393 2: 0.9425 3: 0.9425 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 18] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5789473684210527] max_possible 12 AP 0.8816 nr: adding to 0 name_rank_counts [867, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.741848979729777:.4 CMC: 1: 0.9393 2: 0.9426 3: 0.9426 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [868, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7419479887704734:.4 CMC: 1: 0.9394 2: 0.9426 3: 0.9426 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 38] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.1794871794871795] max_possible 12 AP 0.515 nr: adding to 0 name_rank_counts [869, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7417025933933781:.4 CMC: 1: 0.9395 2: 0.9427 3: 0.9427 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [870, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7418915394768266:.4 CMC: 1: 0.9395 2: 0.9428 3: 0.9428 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 41] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.23809523809523808] max_possible 12 AP 0.7698 nr: adding to 0 name_rank_counts [871, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7419216902107688:.4 CMC: 1: 0.9396 2: 0.9428 3: 0.9428 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.4444 nr: adding to 0 name_rank_counts [872, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7416011328338655:.4 CMC: 1: 0.9397 2: 0.9429 3: 0.9429 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.4444 nr: adding to 0 name_rank_counts [873, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7412812655697218:.4 CMC: 1: 0.9397 2: 0.9429 3: 0.9429 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 76] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.11688311688311688] max_possible 12 AP 0.6671 nr: adding to 0 name_rank_counts [874, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7412015520230315:.4 CMC: 1: 0.9398 2: 0.943 3: 0.943 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 14] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8] max_possible 12 AP 0.9833 nr: adding to 0 name_rank_counts [875, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7414616291243314:.4 CMC: 1: 0.9398 2: 0.9431 3: 0.9431 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [876, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.740844896331995:.4 CMC: 1: 0.9399 2: 0.9431 3: 0.9431 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [877, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7407653912626858:.4 CMC: 1: 0.94 2: 0.9432 3: 0.9432 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5, 8, 9] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.6666666666666666, 0.7] max_possible 12 AP 0.5167 nr: adding to 0 name_rank_counts [878, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7405254568680434:.4 CMC: 1: 0.94 2: 0.9433 3: 0.9433 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 7] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.625] max_possible 12 AP 0.3854 nr: adding to 0 name_rank_counts [879, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7401456613705019:.4 CMC: 1: 0.9401 2: 0.9433 3: 0.9433 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [880, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.739532970136844:.4 CMC: 1: 0.9402 2: 0.9434 3: 0.9434 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 11] num_for_qnid 25 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.6389 nr: adding to 0 name_rank_counts [881, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7394255591643275:.4 CMC: 1: 0.9402 2: 0.9434 3: 0.9434 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.4444 nr: adding to 0 name_rank_counts [882, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7391110803639864:.4 CMC: 1: 0.9403 2: 0.9435 3: 0.9435 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 9 AP 0.3333 nr: adding to 0 name_rank_counts [883, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7386789421882348:.4 CMC: 1: 0.9404 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 9 name_ranks [0] precisions [1.0] max_possible 9 AP 0.1111 nr: adding to 0 name_rank_counts [884, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7380113168360254:.4 CMC: 1: 0.9404 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 9] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 0.3] max_possible 9 AP 0.2556 nr: adding to 0 name_rank_counts [885, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7374986114574063:.4 CMC: 1: 0.9405 2: 0.9437 3: 0.9437 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [886, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7370695612683148:.4 CMC: 1: 0.9406 2: 0.9437 3: 0.9437 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [887, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7366414210478113:.4 CMC: 1: 0.9406 2: 0.9438 3: 0.9438 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [888, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7362141879040459:.4 CMC: 1: 0.9407 2: 0.9439 3: 0.9439 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [889, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7357878589574101:.4 CMC: 1: 0.9407 2: 0.9439 3: 0.9439 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 5 AP 0.55 nr: adding to 0 name_rank_counts [890, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7355914658718314:.4 CMC: 1: 0.9408 2: 0.944 3: 0.944 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [891, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7352546920606328:.4 CMC: 1: 0.9409 2: 0.944 3: 0.944 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 68] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.08695652173913043] max_possible 12 AP 0.4239 nr: adding to 0 name_rank_counts [892, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7349262726001029:.4 CMC: 1: 0.9409 2: 0.9441 3: 0.9441 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 31, 32] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.1875, 0.21212121212121213] max_possible 12 AP 0.45 nr: adding to 0 name_rank_counts [893, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7346260009054172:.4 CMC: 1: 0.941 2: 0.9442 3: 0.9442 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 19] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [894, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7349053419570957:.4 CMC: 1: 0.9411 2: 0.9442 3: 0.9442 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [895, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7348335873037934:.4 CMC: 1: 0.9411 2: 0.9443 3: 0.9443 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [896, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53] At the end mAP 0.7349370534235724:.4 CMC: 1: 0.9412 2: 0.9443 3: 0.9443 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [] num_for_qnid 30 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [896, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.734165870786192:.4 CMC: 1: 0.9402 2: 0.9433 3: 0.9433 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [897, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.734182468405913:.4 CMC: 1: 0.9403 2: 0.9434 3: 0.9434 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [898, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7339372511615088:.4 CMC: 1: 0.9403 2: 0.9435 3: 0.9435 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [899, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7336925469238922:.4 CMC: 1: 0.9404 2: 0.9435 3: 0.9435 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [900, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7334483540848913:.4 CMC: 1: 0.9404 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [901, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7330306974870295:.4 CMC: 1: 0.9405 2: 0.9436 3: 0.9436 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [3] num_for_qnid 12 name_ranks [3] precisions [0.25] max_possible 12 AP 0.02083 nr: adding to 3 name_rank_counts [901, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7322880516432823:.4 CMC: 1: 0.9395 2: 0.9426 3: 0.9426 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 12 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [902, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7319592793672649:.4 CMC: 1: 0.9396 2: 0.9427 3: 0.9427 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 7, 93] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 0.375, 0.0425531914893617] max_possible 12 AP 0.2015 nr: adding to 0 name_rank_counts [903, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.731407253859034:.4 CMC: 1: 0.9396 2: 0.9428 3: 0.9428 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 9, 10] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.5, 0.5454545454545454] max_possible 12 AP 0.4205 nr: adding to 0 name_rank_counts [904, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7310840181954119:.4 CMC: 1: 0.9397 2: 0.9428 3: 0.9428 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 18] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182, 0.8333333333333334, 0.5789473684210527] max_possible 12 AP 0.8525 nr: adding to 0 name_rank_counts [905, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7312101391976265:.4 CMC: 1: 0.9398 2: 0.9429 3: 0.9429 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.3056 nr: adding to 0 name_rank_counts [906, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7307685887996574:.4 CMC: 1: 0.9398 2: 0.9429 3: 0.9429 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 17, 28, 29, 33] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.3888888888888889, 0.27586206896551724, 0.3, 0.29411764705882354] max_possible 12 AP 0.6049 nr: adding to 0 name_rank_counts [907, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7306381609533118:.4 CMC: 1: 0.9399 2: 0.943 3: 0.943 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [908, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7305719378743402:.4 CMC: 1: 0.94 2: 0.9431 3: 0.9431 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 30 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [909, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7308505604825363:.4 CMC: 1: 0.94 2: 0.9431 3: 0.9431 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.5 nr: adding to 0 name_rank_counts [910, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7306120784985667:.4 CMC: 1: 0.9401 2: 0.9432 3: 0.9432 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.625 nr: adding to 0 name_rank_counts [911, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7305030877054826:.4 CMC: 1: 0.9401 2: 0.9432 3: 0.9432 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0] max_possible 8 AP 0.25 nr: adding to 0 name_rank_counts [912, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 54] At the end mAP 0.7300077236975387:.4 CMC: 1: 0.9402 2: 0.9433 3: 0.9433 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [912, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 55] At the end mAP 0.7292559134774589:.4 CMC: 1: 0.9392 2: 0.9423 3: 0.9423 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [913, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 55] At the end mAP 0.7285913840740185:.4 CMC: 1: 0.9393 2: 0.9424 3: 0.9424 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [913, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7278425748406433:.4 CMC: 1: 0.9383 2: 0.9414 3: 0.9414 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [914, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7275230923887193:.4 CMC: 1: 0.9384 2: 0.9415 3: 0.9415 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [915, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7272897353708847:.4 CMC: 1: 0.9385 2: 0.9415 3: 0.9415 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [916, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7268007090026769:.4 CMC: 1: 0.9385 2: 0.9416 3: 0.9416 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.7142857142857143, 0.75] max_possible 12 AP 0.4554 nr: adding to 0 name_rank_counts [917, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7265228752604603:.4 CMC: 1: 0.9386 2: 0.9417 3: 0.9417 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.7142857142857143, 0.75] max_possible 12 AP 0.4554 nr: adding to 0 name_rank_counts [918, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.726245609685406:.4 CMC: 1: 0.9387 2: 0.9417 3: 0.9417 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 6, 7, 8] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.7142857142857143, 0.75, 0.7777777777777778] max_possible 12 AP 0.5035 nr: adding to 0 name_rank_counts [919, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7260180914845069:.4 CMC: 1: 0.9387 2: 0.9418 3: 0.9418 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [920, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7257874607789104:.4 CMC: 1: 0.9388 2: 0.9418 3: 0.9418 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [921, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.725387405603125:.4 CMC: 1: 0.9388 2: 0.9419 3: 0.9419 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [922, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 56] At the end mAP 0.7249881652036649:.4 CMC: 1: 0.9389 2: 0.942 3: 0.942 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [922, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 57] At the end mAP 0.7242506390946073:.4 CMC: 1: 0.9379 2: 0.941 3: 0.941 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [922, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7235146120223567:.4 CMC: 1: 0.937 2: 0.94 3: 0.94 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [923, 3, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.723118488896784:.4 CMC: 1: 0.9371 2: 0.9401 3: 0.9401 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [1, 2, 4, 5, 6, 7, 9, 10, 11] num_for_qnid 148 name_ranks [1] precisions [0.5, 0.6666666666666666, 0.6, 0.6666666666666666, 0.7142857142857143, 0.75, 0.7, 0.7272727272727273, 0.75] max_possible 12 AP 0.5062 nr: adding to 1 name_rank_counts [923, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7228985319924678:.4 CMC: 1: 0.9361 2: 0.9402 3: 0.9402 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 2, 3, 4, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.75, 0.8, 0.7142857142857143, 0.75] max_possible 12 AP 0.3901 nr: adding to 0 name_rank_counts [924, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7225613291891111:.4 CMC: 1: 0.9362 2: 0.9402 3: 0.9402 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 3, 4, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.8, 0.7142857142857143] max_possible 12 AP 0.3554 nr: adding to 0 name_rank_counts [925, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7221896650329046:.4 CMC: 1: 0.9362 2: 0.9403 3: 0.9403 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [926, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.722470565270485:.4 CMC: 1: 0.9363 2: 0.9403 3: 0.9403 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [927, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7227508980328381:.4 CMC: 1: 0.9364 2: 0.9404 3: 0.9404 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [928, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7230306650378504:.4 CMC: 1: 0.9364 2: 0.9405 3: 0.9405 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [929, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7233098679964814:.4 CMC: 1: 0.9365 2: 0.9405 3: 0.9405 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [930, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7235885086127992:.4 CMC: 1: 0.9366 2: 0.9406 3: 0.9406 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [931, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7238665885840138:.4 CMC: 1: 0.9366 2: 0.9406 3: 0.9406 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [932, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7241441096005122:.4 CMC: 1: 0.9367 2: 0.9407 3: 0.9407 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [933, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7244210733458932:.4 CMC: 1: 0.9367 2: 0.9408 3: 0.9408 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [934, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7246974814970006:.4 CMC: 1: 0.9368 2: 0.9408 3: 0.9408 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [935, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7249733357239575:.4 CMC: 1: 0.9369 2: 0.9409 3: 0.9409 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [936, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7252486376901999:.4 CMC: 1: 0.9369 2: 0.9409 3: 0.9409 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [937, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7255233890525097:.4 CMC: 1: 0.937 2: 0.941 3: 0.941 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [938, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7257975914610486:.4 CMC: 1: 0.9371 2: 0.9411 3: 0.9411 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [939, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7259880795600563:.4 CMC: 1: 0.9371 2: 0.9411 3: 0.9411 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [940, 4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.726261271903466:.4 CMC: 1: 0.9372 2: 0.9412 3: 0.9412 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [1, 2, 3, 4, 5, 6, 7] num_for_qnid 148 name_ranks [1] precisions [0.5, 0.6666666666666666, 0.75, 0.8, 0.8333333333333334, 0.8571428571428571, 0.875] max_possible 12 AP 0.4402 nr: adding to 1 name_rank_counts [940, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7259763289747061:.4 CMC: 1: 0.9363 2: 0.9412 3: 0.9412 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [941, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7262489893438855:.4 CMC: 1: 0.9363 2: 0.9413 3: 0.9413 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [942, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7265211076447364:.4 CMC: 1: 0.9364 2: 0.9414 3: 0.9414 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [943, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7267926854921598:.4 CMC: 1: 0.9364 2: 0.9414 3: 0.9414 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [944, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7270637244946477:.4 CMC: 1: 0.9365 2: 0.9415 3: 0.9415 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [945, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7273342262543161:.4 CMC: 1: 0.9366 2: 0.9415 3: 0.9415 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [946, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7276041923669355:.4 CMC: 1: 0.9366 2: 0.9416 3: 0.9416 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [947, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7274614912205126:.4 CMC: 1: 0.9367 2: 0.9416 3: 0.9416 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [948, 5, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7270720365190432:.4 CMC: 1: 0.9368 2: 0.9417 3: 0.9417 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [3, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 148 name_ranks [2] precisions [0.25, 0.3333333333333333, 0.375, 0.4, 0.45454545454545453, 0.5, 0.5384615384615384, 0.5714285714285714, 0.6, 0.625, 0.6470588235294118, 0.6666666666666666] max_possible 12 AP 0.4968 nr: adding to 2 name_rank_counts [948, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7268447109143817:.4 CMC: 1: 0.9358 2: 0.9408 3: 0.9418 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [949, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7264566326327436:.4 CMC: 1: 0.9359 2: 0.9408 3: 0.9418 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [950, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7260693190373748:.4 CMC: 1: 0.936 2: 0.9409 3: 0.9419 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [951, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7259288308624692:.4 CMC: 1: 0.936 2: 0.9409 3: 0.9419 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [952, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.725378917230025:.4 CMC: 1: 0.9361 2: 0.941 3: 0.942 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [953, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7248300839779981:.4 CMC: 1: 0.9361 2: 0.9411 3: 0.942 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [954, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7242823279256807:.4 CMC: 1: 0.9362 2: 0.9411 3: 0.9421 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [955, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7237356459048386:.4 CMC: 1: 0.9363 2: 0.9412 3: 0.9422 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [956, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7233532734145628:.4 CMC: 1: 0.9363 2: 0.9412 3: 0.9422 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [957, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7231347281372492:.4 CMC: 1: 0.9364 2: 0.9413 3: 0.9423 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [958, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.722998069882309:.4 CMC: 1: 0.9365 2: 0.9413 3: 0.9423 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091] max_possible 12 AP 0.8258 nr: adding to 0 name_rank_counts [959, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7230984209622653:.4 CMC: 1: 0.9365 2: 0.9414 3: 0.9424 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [960, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7232872680312451:.4 CMC: 1: 0.9366 2: 0.9415 3: 0.9424 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [961, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7234757469772836:.4 CMC: 1: 0.9366 2: 0.9415 3: 0.9425 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [962, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.723745001361921:.4 CMC: 1: 0.9367 2: 0.9416 3: 0.9426 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [963, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7236894776900386:.4 CMC: 1: 0.9368 2: 0.9416 3: 0.9426 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [964, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7235530771610232:.4 CMC: 1: 0.9368 2: 0.9417 3: 0.9427 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [965, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.723659659934006:.4 CMC: 1: 0.9369 2: 0.9417 3: 0.9427 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 18, 19, 20] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [966, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7239276913016743:.4 CMC: 1: 0.937 2: 0.9418 3: 0.9428 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 38] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [967, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7241952032287077:.4 CMC: 1: 0.937 2: 0.9419 3: 0.9428 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 33] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [968, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.724462197223646:.4 CMC: 1: 0.9371 2: 0.9419 3: 0.9429 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 27] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [969, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7247286747891937:.4 CMC: 1: 0.9371 2: 0.942 3: 0.9429 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 21, 24] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [970, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7249946374222476:.4 CMC: 1: 0.9372 2: 0.942 3: 0.943 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 31, 32] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [971, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7252600866139249:.4 CMC: 1: 0.9373 2: 0.9421 3: 0.9431 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 18, 19] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.47368421052631576, 0.5] max_possible 12 AP 0.7478 nr: adding to 0 name_rank_counts [972, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7252818290738382:.4 CMC: 1: 0.9373 2: 0.9421 3: 0.9431 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 10] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182] max_possible 12 AP 0.7348 nr: adding to 0 name_rank_counts [973, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7252910455052203:.4 CMC: 1: 0.9374 2: 0.9422 3: 0.9432 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [974, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7253068064495528:.4 CMC: 1: 0.9374 2: 0.9423 3: 0.9432 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 12, 13] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6923076923076923, 0.7142857142857143] max_possible 12 AP 0.7839 nr: adding to 0 name_rank_counts [975, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7253631295047769:.4 CMC: 1: 0.9375 2: 0.9423 3: 0.9433 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 20, 21, 22] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.42857142857142855, 0.45454545454545453, 0.4782608695652174] max_possible 12 AP 0.7801 nr: adding to 0 name_rank_counts [976, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7254157247816442:.4 CMC: 1: 0.9376 2: 0.9424 3: 0.9433 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [977, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7252793693196016:.4 CMC: 1: 0.9376 2: 0.9424 3: 0.9434 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [978, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7248236844017496:.4 CMC: 1: 0.9377 2: 0.9425 3: 0.9434 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [979, 5, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7242890512429996:.4 CMC: 1: 0.9377 2: 0.9425 3: 0.9435 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [1, 2, 3] num_for_qnid 119 name_ranks [1] precisions [0.5, 0.6666666666666666, 0.75] max_possible 12 AP 0.1597 nr: adding to 1 name_rank_counts [979, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7237487959042237:.4 CMC: 1: 0.9368 2: 0.9426 3: 0.9435 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [980, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7236145555002362:.4 CMC: 1: 0.9369 2: 0.9426 3: 0.9436 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [981, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7238785339572561:.4 CMC: 1: 0.937 2: 0.9427 3: 0.9436 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [982, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7235853928625131:.4 CMC: 1: 0.937 2: 0.9427 3: 0.9437 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 10, 13] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7272727272727273, 0.6428571428571429] max_possible 12 AP 0.6975 nr: adding to 0 name_rank_counts [983, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.723560536265419:.4 CMC: 1: 0.9371 2: 0.9428 3: 0.9438 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 3, 7, 8] num_for_qnid 119 name_ranks [0] precisions [1.0, 0.5, 0.375, 0.4444444444444444] max_possible 12 AP 0.1933 nr: adding to 0 name_rank_counts [984, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7230555138852015:.4 CMC: 1: 0.9371 2: 0.9429 3: 0.9438 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 17, 18] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [985, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7233190195808389:.4 CMC: 1: 0.9372 2: 0.9429 3: 0.9439 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 13, 20, 21, 25, 26] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6428571428571429, 0.47619047619047616, 0.5, 0.46153846153846156] max_possible 12 AP 0.84 nr: adding to 0 name_rank_counts [986, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7234299794862267:.4 CMC: 1: 0.9373 2: 0.943 3: 0.9439 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.9, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9615 nr: adding to 0 name_rank_counts [987, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7236560449843185:.4 CMC: 1: 0.9373 2: 0.943 3: 0.944 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [988, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7236810392490393:.4 CMC: 1: 0.9374 2: 0.9431 3: 0.944 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [989, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7235480082481713:.4 CMC: 1: 0.9374 2: 0.9431 3: 0.9441 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [990, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7231784867757141:.4 CMC: 1: 0.9375 2: 0.9432 3: 0.9441 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [991, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7234403803549234:.4 CMC: 1: 0.9376 2: 0.9432 3: 0.9442 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [992, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7237017788612042:.4 CMC: 1: 0.9376 2: 0.9433 3: 0.9442 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [993, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7239626836970293:.4 CMC: 1: 0.9377 2: 0.9433 3: 0.9443 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 2, 4, 5] num_for_qnid 119 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.6, 0.6666666666666666] max_possible 12 AP 0.2444 nr: adding to 0 name_rank_counts [994, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7235103079996212:.4 CMC: 1: 0.9377 2: 0.9434 3: 0.9443 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 2, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.5, 0.5714285714285714] max_possible 12 AP 0.2282 nr: adding to 0 name_rank_counts [995, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7230434505963931:.4 CMC: 1: 0.9378 2: 0.9434 3: 0.9444 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [996, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7225195553196232:.4 CMC: 1: 0.9379 2: 0.9435 3: 0.9444 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [997, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7223886181399559:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9445 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 119 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [998, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7217880022707768:.4 CMC: 1: 0.938 2: 0.9436 3: 0.9445 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [999, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7215797506254521:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9446 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1000, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7216845851308066:.4 CMC: 1: 0.9381 2: 0.9437 3: 0.9447 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1001, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7219454243199999:.4 CMC: 1: 0.9381 2: 0.9438 3: 0.9447 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1002, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.722205775046292:.4 CMC: 1: 0.9382 2: 0.9438 3: 0.9448 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 12 AP 0.4881 nr: adding to 0 name_rank_counts [1003, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7219867754794528:.4 CMC: 1: 0.9383 2: 0.9439 3: 0.9448 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1004, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7222466009229299:.4 CMC: 1: 0.9383 2: 0.9439 3: 0.9449 4: 0.9458 5: 0.9458 6: 0.9458 7: 0.9458 8: 0.9458 9: 0.9458 10: 0.9458 11: 0.9458 12: 0.9458 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 20, 21, 24, 29] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1005, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7225059411648319:.4 CMC: 1: 0.9384 2: 0.944 3: 0.9449 4: 0.9458 5: 0.9458 6: 0.9458 7: 0.9458 8: 0.9458 9: 0.9458 10: 0.9458 11: 0.9458 12: 0.9458 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 23, 25, 30] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1006, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.722764797562999:.4 CMC: 1: 0.9384 2: 0.944 3: 0.945 4: 0.9459 5: 0.9459 6: 0.9459 7: 0.9459 8: 0.9459 9: 0.9459 10: 0.9459 11: 0.9459 12: 0.9459 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1007, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7230231714702097:.4 CMC: 1: 0.9385 2: 0.9441 3: 0.945 4: 0.9459 5: 0.9459 6: 0.9459 7: 0.9459 8: 0.9459 9: 0.9459 10: 0.9459 11: 0.9459 12: 0.9459 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1008, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7232810642342039:.4 CMC: 1: 0.9385 2: 0.9441 3: 0.9451 4: 0.946 5: 0.946 6: 0.946 7: 0.946 8: 0.946 9: 0.946 10: 0.946 11: 0.946 12: 0.946 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1009, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7229183221589474:.4 CMC: 1: 0.9386 2: 0.9442 3: 0.9451 4: 0.946 5: 0.946 6: 0.946 7: 0.946 8: 0.946 9: 0.946 10: 0.946 11: 0.946 12: 0.946 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 20, 21] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1010, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7231758330119594:.4 CMC: 1: 0.9387 2: 0.9442 3: 0.9452 4: 0.9461 5: 0.9461 6: 0.9461 7: 0.9461 8: 0.9461 9: 0.9461 10: 0.9461 11: 0.9461 12: 0.9461 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 14, 21, 22] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8] max_possible 12 AP 0.9833 nr: adding to 0 name_rank_counts [1011, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7234173905795745:.4 CMC: 1: 0.9387 2: 0.9443 3: 0.9452 4: 0.9461 5: 0.9461 6: 0.9461 7: 0.9461 8: 0.9461 9: 0.9461 10: 0.9461 11: 0.9461 12: 0.9461 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 13, 14, 22] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5714285714285714, 0.6, 0.43478260869565216] max_possible 12 AP 0.7172 nr: adding to 0 name_rank_counts [1012, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7234116084593805:.4 CMC: 1: 0.9388 2: 0.9443 3: 0.9453 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 22, 26] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1013, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7236679461716516:.4 CMC: 1: 0.9388 2: 0.9444 3: 0.9453 4: 0.9462 5: 0.9462 6: 0.9462 7: 0.9462 8: 0.9462 9: 0.9462 10: 0.9462 11: 0.9462 12: 0.9462 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9, 0.9090909090909091, 0.8461538461538461, 0.8571428571428571] max_possible 12 AP 0.9594 nr: adding to 0 name_rank_counts [1014, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7238861847718312:.4 CMC: 1: 0.9389 2: 0.9444 3: 0.9454 4: 0.9463 5: 0.9463 6: 0.9463 7: 0.9463 8: 0.9463 9: 0.9463 10: 0.9463 11: 0.9463 12: 0.9463 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 9, 10, 11] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7, 0.7272727272727273, 0.75] max_possible 12 AP 0.6814 nr: adding to 0 name_rank_counts [1015, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7238469185453442:.4 CMC: 1: 0.9389 2: 0.9445 3: 0.9454 4: 0.9463 5: 0.9463 6: 0.9463 7: 0.9463 8: 0.9463 9: 0.9463 10: 0.9463 11: 0.9463 12: 0.9463 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 17, 18, 19, 20, 23, 24] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9707 nr: adding to 0 name_rank_counts [1016, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7240750971864632:.4 CMC: 1: 0.939 2: 0.9445 3: 0.9455 4: 0.9464 5: 0.9464 6: 0.9464 7: 0.9464 8: 0.9464 9: 0.9464 10: 0.9464 11: 0.9464 12: 0.9464 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16, 18, 19, 20, 21, 24, 25, 28, 37, 38] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7857142857142857, 0.8] max_possible 12 AP 0.9655 nr: adding to 0 name_rank_counts [1017, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7242979975496117:.4 CMC: 1: 0.9391 2: 0.9446 3: 0.9455 4: 0.9464 5: 0.9464 6: 0.9464 7: 0.9464 8: 0.9464 9: 0.9464 10: 0.9464 11: 0.9464 12: 0.9464 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 14, 15, 16, 17, 19, 20, 22, 33] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [1018, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7245400153555117:.4 CMC: 1: 0.9391 2: 0.9446 3: 0.9456 4: 0.9465 5: 0.9465 6: 0.9465 7: 0.9465 8: 0.9465 9: 0.9465 10: 0.9465 11: 0.9465 12: 0.9465 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9, 10, 11, 12] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6, 0.6363636363636364, 0.6666666666666666, 0.6923076923076923] max_possible 12 AP 0.6329 nr: adding to 0 name_rank_counts [1019, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7244555958325526:.4 CMC: 1: 0.9392 2: 0.9447 3: 0.9456 4: 0.9465 5: 0.9465 6: 0.9465 7: 0.9465 8: 0.9465 9: 0.9465 10: 0.9465 11: 0.9465 12: 0.9465 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5, 9, 10] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334, 0.6, 0.6363636363636364] max_possible 12 AP 0.5058 nr: adding to 0 name_rank_counts [1020, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7242542629457898:.4 CMC: 1: 0.9392 2: 0.9448 3: 0.9457 4: 0.9466 5: 0.9466 6: 0.9466 7: 0.9466 8: 0.9466 9: 0.9466 10: 0.9466 11: 0.9466 12: 0.9466 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 7, 8, 10, 11, 13] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.75, 0.7777777777777778, 0.7272727272727273, 0.75, 0.7142857142857143] max_possible 12 AP 0.7266 nr: adding to 0 name_rank_counts [1021, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7242564313806247:.4 CMC: 1: 0.9393 2: 0.9448 3: 0.9457 4: 0.9466 5: 0.9466 6: 0.9466 7: 0.9466 8: 0.9466 9: 0.9466 10: 0.9466 11: 0.9466 12: 0.9466 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 30, 36] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1022, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7245098721606058:.4 CMC: 1: 0.9393 2: 0.9449 3: 0.9458 4: 0.9467 5: 0.9467 6: 0.9467 7: 0.9467 8: 0.9467 9: 0.9467 10: 0.9467 11: 0.9467 12: 0.9467 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 20, 22, 25, 33, 42] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1023, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.724762847484609:.4 CMC: 1: 0.9394 2: 0.9449 3: 0.9458 4: 0.9467 5: 0.9467 6: 0.9467 7: 0.9467 8: 0.9467 9: 0.9467 10: 0.9467 11: 0.9467 12: 0.9467 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 25, 27, 29] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1024, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7250153586337056:.4 CMC: 1: 0.9394 2: 0.945 3: 0.9459 4: 0.9468 5: 0.9468 6: 0.9468 7: 0.9468 8: 0.9468 9: 0.9468 10: 0.9468 11: 0.9468 12: 0.9468 13: 1.0 ======================================== annot_ranks [0, 2, 9, 11] num_for_qnid 119 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.3, 0.3333333333333333] max_possible 12 AP 0.1917 nr: adding to 0 name_rank_counts [1025, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 58] At the end mAP 0.7245264964045882:.4 CMC: 1: 0.9395 2: 0.945 3: 0.9459 4: 0.9468 5: 0.9468 6: 0.9468 7: 0.9468 8: 0.9468 9: 0.9468 10: 0.9468 11: 0.9468 12: 0.9468 13: 1.0 ======================================== annot_ranks [] num_for_qnid 119 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1025, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 59] At the end mAP 0.72386301060202:.4 CMC: 1: 0.9386 2: 0.9441 3: 0.9451 4: 0.946 5: 0.946 6: 0.946 7: 0.946 8: 0.946 9: 0.946 10: 0.946 11: 0.946 12: 0.946 13: 1.0 ======================================== annot_ranks [] num_for_qnid 119 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1025, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 60] At the end mAP 0.7232007388631343:.4 CMC: 1: 0.9378 2: 0.9433 3: 0.9442 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [] num_for_qnid 119 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1025, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.722539677858689:.4 CMC: 1: 0.9369 2: 0.9424 3: 0.9433 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1026, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7221081347738866:.4 CMC: 1: 0.937 2: 0.9425 3: 0.9434 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1027, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7216773791764651:.4 CMC: 1: 0.937 2: 0.9425 3: 0.9434 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8] max_possible 12 AP 0.3167 nr: adding to 0 name_rank_counts [1028, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7213081807147425:.4 CMC: 1: 0.9371 2: 0.9426 3: 0.9435 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334] max_possible 12 AP 0.4028 nr: adding to 0 name_rank_counts [1029, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7210180801656195:.4 CMC: 1: 0.9372 2: 0.9426 3: 0.9435 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1030, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7212719308661057:.4 CMC: 1: 0.9372 2: 0.9427 3: 0.9436 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 28, 32] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1031, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7215253200198638:.4 CMC: 1: 0.9373 2: 0.9427 3: 0.9436 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 25, 26, 36] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1032, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7217782488845143:.4 CMC: 1: 0.9373 2: 0.9428 3: 0.9437 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1033, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7214257580355568:.4 CMC: 1: 0.9374 2: 0.9428 3: 0.9437 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1034, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7211494578620582:.4 CMC: 1: 0.9374 2: 0.9429 3: 0.9438 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [1035, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7211680422903234:.4 CMC: 1: 0.9375 2: 0.9429 3: 0.9438 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1036, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7212695493410409:.4 CMC: 1: 0.9376 2: 0.943 3: 0.9439 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1037, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7211448330517031:.4 CMC: 1: 0.9376 2: 0.943 3: 0.9439 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1038, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7212461776770704:.4 CMC: 1: 0.9377 2: 0.9431 3: 0.944 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 2, 3, 11] num_for_qnid 119 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.75, 0.3333333333333333] max_possible 12 AP 0.2292 nr: adding to 0 name_rank_counts [1039, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7208020625949311:.4 CMC: 1: 0.9377 2: 0.9431 3: 0.944 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 4, 5, 6, 7] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 0.6, 0.6666666666666666, 0.7142857142857143, 0.75] max_possible 12 AP 0.3942 nr: adding to 0 name_rank_counts [1040, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.720507602693354:.4 CMC: 1: 0.9378 2: 0.9432 3: 0.9441 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 5, 6, 8, 9, 10] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.8333333333333334, 0.8571428571428571, 0.7777777777777778, 0.8, 0.8181818181818182] max_possible 12 AP 0.6572 nr: adding to 0 name_rank_counts [1041, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.720450571503723:.4 CMC: 1: 0.9378 2: 0.9432 3: 0.9441 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1042, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7199521161438337:.4 CMC: 1: 0.9379 2: 0.9433 3: 0.9442 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1043, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7194545572863902:.4 CMC: 1: 0.9379 2: 0.9433 3: 0.9442 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1044, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 61] At the end mAP 0.7197066196787655:.4 CMC: 1: 0.938 2: 0.9434 3: 0.9443 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [] num_for_qnid 119 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1044, 6, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 62] At the end mAP 0.7190605634672046:.4 CMC: 1: 0.9372 2: 0.9425 3: 0.9434 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [1, 2] num_for_qnid 119 name_ranks [1] precisions [0.5, 0.6666666666666666] max_possible 12 AP 0.09722 nr: adding to 1 name_rank_counts [1044, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 62] At the end mAP 0.7185028609190028:.4 CMC: 1: 0.9363 2: 0.9426 3: 0.9435 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1045, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 62] At the end mAP 0.7180830554880718:.4 CMC: 1: 0.9364 2: 0.9427 3: 0.9435 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [] num_for_qnid 119 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1045, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7174401879361577:.4 CMC: 1: 0.9355 2: 0.9418 3: 0.9427 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1046, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7175438490679977:.4 CMC: 1: 0.9356 2: 0.9419 3: 0.9428 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1047, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7172749686547705:.4 CMC: 1: 0.9357 2: 0.9419 3: 0.9428 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 5] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.8333333333333334] max_possible 12 AP 0.4028 nr: adding to 0 name_rank_counts [1048, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7169941675914873:.4 CMC: 1: 0.9357 2: 0.942 3: 0.9429 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1049, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7170979491844774:.4 CMC: 1: 0.9358 2: 0.942 3: 0.9429 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 21, 22, 24, 25, 36] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1050, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7173500900497319:.4 CMC: 1: 0.9358 2: 0.9421 3: 0.943 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888] max_possible 12 AP 0.6574 nr: adding to 0 name_rank_counts [1051, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7172967127722232:.4 CMC: 1: 0.9359 2: 0.9421 3: 0.943 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091] max_possible 12 AP 0.8258 nr: adding to 0 name_rank_counts [1052, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7173932082019253:.4 CMC: 1: 0.9359 2: 0.9422 3: 0.9431 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1053, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 63] At the end mAP 0.7176444142390792:.4 CMC: 1: 0.936 2: 0.9422 3: 0.9431 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1053, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 64] At the end mAP 0.7170070746171973:.4 CMC: 1: 0.9352 2: 0.9414 3: 0.9423 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1053, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7163708660327986:.4 CMC: 1: 0.9343 2: 0.9406 3: 0.9414 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1054, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.715809662546363:.4 CMC: 1: 0.9344 2: 0.9406 3: 0.9415 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1055, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7159137579146421:.4 CMC: 1: 0.9345 2: 0.9407 3: 0.9415 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1056, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7160176690433311:.4 CMC: 1: 0.9345 2: 0.9407 3: 0.9416 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1057, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7162687586374572:.4 CMC: 1: 0.9346 2: 0.9408 3: 0.9416 4: 0.9425 5: 0.9425 6: 0.9425 7: 0.9425 8: 0.9425 9: 0.9425 10: 0.9425 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1058, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7157832444219354:.4 CMC: 1: 0.9346 2: 0.9408 3: 0.9417 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 12 AP 0.2292 nr: adding to 0 name_rank_counts [1059, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7153537505315953:.4 CMC: 1: 0.9347 2: 0.9409 3: 0.9417 4: 0.9426 5: 0.9426 6: 0.9426 7: 0.9426 8: 0.9426 9: 0.9426 10: 0.9426 11: 0.9426 12: 0.9426 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 5, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.8333333333333334, 0.8571428571428571] max_possible 12 AP 0.4575 nr: adding to 0 name_rank_counts [1060, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7151264012652885:.4 CMC: 1: 0.9347 2: 0.9409 3: 0.9418 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1061, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7153773912201209:.4 CMC: 1: 0.9348 2: 0.941 3: 0.9419 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1062, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7156279392912299:.4 CMC: 1: 0.9349 2: 0.941 3: 0.9419 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1063, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7158780466445358:.4 CMC: 1: 0.9349 2: 0.9411 3: 0.942 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1064, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7161277144418604:.4 CMC: 1: 0.935 2: 0.9411 3: 0.942 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1065, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7163769438409457:.4 CMC: 1: 0.935 2: 0.9412 3: 0.9421 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1066, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7166257359954712:.4 CMC: 1: 0.9351 2: 0.9412 3: 0.9421 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1067, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.716874092055072:.4 CMC: 1: 0.9351 2: 0.9413 3: 0.9422 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 32] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1068, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7171220131653566:.4 CMC: 1: 0.9352 2: 0.9413 3: 0.9422 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26, 35, 43, 45, 58] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1069, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.717369500467924:.4 CMC: 1: 0.9353 2: 0.9414 3: 0.9423 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 35, 38] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1070, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7176165551003821:.4 CMC: 1: 0.9353 2: 0.9414 3: 0.9423 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20, 21, 45, 57] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1071, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7178631781963644:.4 CMC: 1: 0.9354 2: 0.9415 3: 0.9424 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 20, 23, 26, 35] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1072, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7181093708855473:.4 CMC: 1: 0.9354 2: 0.9415 3: 0.9424 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1073, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.718355134293668:.4 CMC: 1: 0.9355 2: 0.9416 3: 0.9425 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1074, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7183101094960834:.4 CMC: 1: 0.9355 2: 0.9416 3: 0.9425 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1075, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7180475825658577:.4 CMC: 1: 0.9356 2: 0.9417 3: 0.9426 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1076, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7182927585810178:.4 CMC: 1: 0.9357 2: 0.9417 3: 0.9426 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1077, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7185375085735625:.4 CMC: 1: 0.9357 2: 0.9418 3: 0.9427 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 16] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1078, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7187818336529257:.4 CMC: 1: 0.9358 2: 0.9418 3: 0.9427 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1079, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 65] At the end mAP 0.7187366340284798:.4 CMC: 1: 0.9358 2: 0.9419 3: 0.9428 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1079, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7181138119885938:.4 CMC: 1: 0.935 2: 0.9411 3: 0.9419 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1080, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7175642185005805:.4 CMC: 1: 0.9351 2: 0.9411 3: 0.942 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1081, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7175201894765028:.4 CMC: 1: 0.9351 2: 0.9412 3: 0.942 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1082, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7174762365613689:.4 CMC: 1: 0.9352 2: 0.9412 3: 0.9421 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 8] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.4722 nr: adding to 0 name_rank_counts [1083, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.717264445529988:.4 CMC: 1: 0.9352 2: 0.9413 3: 0.9421 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 7, 10, 11, 17, 18, 19] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.625, 0.5454545454545454, 0.5833333333333334, 0.4444444444444444, 0.47368421052631576, 0.5] max_possible 12 AP 0.5977 nr: adding to 0 name_rank_counts [1084, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7171612490378538:.4 CMC: 1: 0.9353 2: 0.9413 3: 0.9422 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5, 7, 11, 16, 17, 18, 19] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666, 0.625, 0.5, 0.4117647058823529, 0.4444444444444444, 0.47368421052631576, 0.5] max_possible 12 AP 0.5518 nr: adding to 0 name_rank_counts [1085, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7170186933653729:.4 CMC: 1: 0.9353 2: 0.9414 3: 0.9422 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 9, 12, 14, 15] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.5, 0.46153846153846156, 0.4666666666666667, 0.5] max_possible 12 AP 0.494 nr: adding to 0 name_rank_counts [1086, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.716826616191085:.4 CMC: 1: 0.9354 2: 0.9414 3: 0.9423 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.625] max_possible 12 AP 0.3854 nr: adding to 0 name_rank_counts [1087, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7165414096940761:.4 CMC: 1: 0.9355 2: 0.9415 3: 0.9423 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1088, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7162835638273285:.4 CMC: 1: 0.9355 2: 0.9415 3: 0.9424 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1089, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7160261609947162:.4 CMC: 1: 0.9356 2: 0.9416 3: 0.9424 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1090, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7156261385389268:.4 CMC: 1: 0.9356 2: 0.9416 3: 0.9425 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1091, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7152982716390935:.4 CMC: 1: 0.9357 2: 0.9417 3: 0.9425 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [1092, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7153208666648241:.4 CMC: 1: 0.9357 2: 0.9417 3: 0.9426 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1093, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7147797814479306:.4 CMC: 1: 0.9358 2: 0.9418 3: 0.9426 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1094, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 66] At the end mAP 0.7142396219542484:.4 CMC: 1: 0.9358 2: 0.9418 3: 0.9427 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1094, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7136291607389028:.4 CMC: 1: 0.935 2: 0.941 3: 0.9419 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1095, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7133043991441927:.4 CMC: 1: 0.9351 2: 0.9411 3: 0.9419 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1096, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7128379846966862:.4 CMC: 1: 0.9352 2: 0.9411 3: 0.942 4: 0.9428 5: 0.9428 6: 0.9428 7: 0.9428 8: 0.9428 9: 0.9428 10: 0.9428 11: 0.9428 12: 0.9428 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1097, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7123723654997297:.4 CMC: 1: 0.9352 2: 0.9412 3: 0.942 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1098, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7119785219175323:.4 CMC: 1: 0.9353 2: 0.9412 3: 0.9421 4: 0.9429 5: 0.9429 6: 0.9429 7: 0.9429 8: 0.9429 9: 0.9429 10: 0.9429 11: 0.9429 12: 0.9429 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 12 AP 0.4881 nr: adding to 0 name_rank_counts [1099, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7117879829525773:.4 CMC: 1: 0.9353 2: 0.9413 3: 0.9421 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.5454545454545454] max_possible 12 AP 0.4621 nr: adding to 0 name_rank_counts [1100, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7115756812767002:.4 CMC: 1: 0.9354 2: 0.9413 3: 0.9422 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1101, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7117499302022652:.4 CMC: 1: 0.9354 2: 0.9414 3: 0.9422 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1102, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.711853141919694:.4 CMC: 1: 0.9355 2: 0.9414 3: 0.9423 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1103, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7120268599220239:.4 CMC: 1: 0.9355 2: 0.9415 3: 0.9423 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1104, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7122709049559882:.4 CMC: 1: 0.9356 2: 0.9415 3: 0.9424 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666] max_possible 12 AP 0.9097 nr: adding to 0 name_rank_counts [1105, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7124380948944016:.4 CMC: 1: 0.9356 2: 0.9416 3: 0.9424 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 16] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1106, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.712681379078078:.4 CMC: 1: 0.9357 2: 0.9416 3: 0.9425 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1107, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7127129248269555:.4 CMC: 1: 0.9358 2: 0.9417 3: 0.9425 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 9, 10] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.9, 0.9090909090909091] max_possible 12 AP 0.8082 nr: adding to 0 name_rank_counts [1108, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7127935431194707:.4 CMC: 1: 0.9358 2: 0.9417 3: 0.9426 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [1109, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7130246416477627:.4 CMC: 1: 0.9359 2: 0.9418 3: 0.9426 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1110, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7132666107526128:.4 CMC: 1: 0.9359 2: 0.9418 3: 0.9427 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1111, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7135081721588868:.4 CMC: 1: 0.936 2: 0.9419 3: 0.9427 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1112, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7137493268961269:.4 CMC: 1: 0.936 2: 0.9419 3: 0.9428 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1113, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7137097283593485:.4 CMC: 1: 0.9361 2: 0.942 3: 0.9428 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1114, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7139503084195508:.4 CMC: 1: 0.9361 2: 0.942 3: 0.9429 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 18, 24] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1115, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7141904844830104:.4 CMC: 1: 0.9362 2: 0.9421 3: 0.9429 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 17, 18] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.9, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9615 nr: adding to 0 name_rank_counts [1116, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7143979395706731:.4 CMC: 1: 0.9362 2: 0.9421 3: 0.943 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 22, 23] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [1117, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7146261435602578:.4 CMC: 1: 0.9363 2: 0.9422 3: 0.943 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1118, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7148651501401906:.4 CMC: 1: 0.9363 2: 0.9422 3: 0.943 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1119, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.715103756709111:.4 CMC: 1: 0.9364 2: 0.9423 3: 0.9431 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1120, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.715341964270391:.4 CMC: 1: 0.9365 2: 0.9423 3: 0.9431 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1121, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7155797738240498:.4 CMC: 1: 0.9365 2: 0.9424 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1122, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7156085052315422:.4 CMC: 1: 0.9366 2: 0.9424 3: 0.9432 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1123, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7157066910764979:.4 CMC: 1: 0.9366 2: 0.9425 3: 0.9433 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1124, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7159436021672675:.4 CMC: 1: 0.9367 2: 0.9425 3: 0.9433 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1125, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.716110732112729:.4 CMC: 1: 0.9367 2: 0.9425 3: 0.9434 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1126, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7163469128680429:.4 CMC: 1: 0.9368 2: 0.9426 3: 0.9434 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 27, 28, 30, 37] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1127, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.716582700970397:.4 CMC: 1: 0.9368 2: 0.9426 3: 0.9435 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 22] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1128, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7168180973981625:.4 CMC: 1: 0.9369 2: 0.9427 3: 0.9435 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1129, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7166381653671267:.4 CMC: 1: 0.9369 2: 0.9427 3: 0.9436 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1130, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7163894327811394:.4 CMC: 1: 0.937 2: 0.9428 3: 0.9436 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 6] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.7142857142857143] max_possible 12 AP 0.3929 nr: adding to 0 name_rank_counts [1131, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7161213861449142:.4 CMC: 1: 0.937 2: 0.9428 3: 0.9437 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 57, 59, 60, 61, 64, 65, 66, 67] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1132, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7163563849974433:.4 CMC: 1: 0.9371 2: 0.9429 3: 0.9437 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19, 22, 24, 25, 29, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1133, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7165909951008366:.4 CMC: 1: 0.9371 2: 0.9429 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1134, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7164119942784392:.4 CMC: 1: 0.9372 2: 0.943 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1135, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7166461709966239:.4 CMC: 1: 0.9372 2: 0.943 3: 0.9438 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 20, 30] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1136, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7168799612845804:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9439 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1137, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7166324647515071:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9439 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 58, 59, 60] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1138, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7168658811726343:.4 CMC: 1: 0.9374 2: 0.9432 3: 0.944 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1139, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7164130423129585:.4 CMC: 1: 0.9374 2: 0.9432 3: 0.944 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1140, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7166462552715828:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 49, 50, 52, 53, 57] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1141, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7168790849714418:.4 CMC: 1: 0.9376 2: 0.9433 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18, 20, 21] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1142, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7171115323565227:.4 CMC: 1: 0.9376 2: 0.9433 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1143, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7170017881407531:.4 CMC: 1: 0.9377 2: 0.9434 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 59] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1144, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7172337538881788:.4 CMC: 1: 0.9377 2: 0.9434 3: 0.9443 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1145, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7171923394023298:.4 CMC: 1: 0.9378 2: 0.9435 3: 0.9443 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1146, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7172873811322242:.4 CMC: 1: 0.9378 2: 0.9435 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1147, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7171097136088128:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1148, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7173408331238383:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9444 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1149, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7169593304029208:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.8, 0.8333333333333334, 0.8571428571428571, 0.875, 0.8888888888888888, 0.9, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.8878 nr: adding to 0 name_rank_counts [1150, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7170986512031767:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9445 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 37] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1151, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7173292146496288:.4 CMC: 1: 0.9381 2: 0.9438 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 39, 40, 41, 43, 45, 46] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1152, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7175594025855819:.4 CMC: 1: 0.9381 2: 0.9438 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 27, 29, 33, 36, 46] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1153, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 67] At the end mAP 0.7177892159276604:.4 CMC: 1: 0.9382 2: 0.9439 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [] num_for_qnid 17 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1153, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 68] At the end mAP 0.7172056474594265:.4 CMC: 1: 0.9374 2: 0.9431 3: 0.9439 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [] num_for_qnid 36 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1153, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7166230271121808:.4 CMC: 1: 0.9366 2: 0.9423 3: 0.9431 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1154, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7163795560403907:.4 CMC: 1: 0.9367 2: 0.9424 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1155, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7166095807313555:.4 CMC: 1: 0.9367 2: 0.9424 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1156, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7168392326108277:.4 CMC: 1: 0.9368 2: 0.9425 3: 0.9433 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 42, 43, 44, 45, 47, 49, 50, 52, 55, 56] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1157, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7170685125844222:.4 CMC: 1: 0.9368 2: 0.9425 3: 0.9433 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1158, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7172974215548231:.4 CMC: 1: 0.9369 2: 0.9426 3: 0.9434 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1159, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7175259604217957:.4 CMC: 1: 0.9369 2: 0.9426 3: 0.9434 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 8] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7777777777777778] max_possible 12 AP 0.5648 nr: adding to 0 name_rank_counts [1160, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 69] At the end mAP 0.7174026073154897:.4 CMC: 1: 0.937 2: 0.9426 3: 0.9435 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [] num_for_qnid 36 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1160, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7168235898761712:.4 CMC: 1: 0.9362 2: 0.9419 3: 0.9427 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1161, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7170519579488518:.4 CMC: 1: 0.9363 2: 0.9419 3: 0.9427 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 15] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.3125] max_possible 12 AP 0.3594 nr: adding to 0 name_rank_counts [1162, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7167637412220598:.4 CMC: 1: 0.9363 2: 0.942 3: 0.9428 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 25] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1163, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7169917897395943:.4 CMC: 1: 0.9364 2: 0.942 3: 0.9428 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1164, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7172194713246791:.4 CMC: 1: 0.9364 2: 0.9421 3: 0.9429 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1165, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7171118458118244:.4 CMC: 1: 0.9365 2: 0.9421 3: 0.9429 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 50, 51] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1166, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7173390652127788:.4 CMC: 1: 0.9365 2: 0.9422 3: 0.943 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 210 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1167, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7168302323621533:.4 CMC: 1: 0.9366 2: 0.9422 3: 0.943 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 55, 57, 60, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1168, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7170573131702028:.4 CMC: 1: 0.9366 2: 0.9423 3: 0.9431 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1169, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7168166155367864:.4 CMC: 1: 0.9367 2: 0.9423 3: 0.9431 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1170, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7163761431998208:.4 CMC: 1: 0.9367 2: 0.9424 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 25, 26, 28] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1171, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.716603042285261:.4 CMC: 1: 0.9368 2: 0.9424 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1172, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7167629652463972:.4 CMC: 1: 0.9369 2: 0.9424 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1173, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7169891929099385:.4 CMC: 1: 0.9369 2: 0.9425 3: 0.9433 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 57, 58, 59] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1174, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7172150594758523:.4 CMC: 1: 0.937 2: 0.9425 3: 0.9433 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1175, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7174405658080087:.4 CMC: 1: 0.937 2: 0.9426 3: 0.9434 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 12] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7692307692307693] max_possible 12 AP 0.8141 nr: adding to 0 name_rank_counts [1176, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.717517587320594:.4 CMC: 1: 0.9371 2: 0.9426 3: 0.9434 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 44] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1177, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7177424937001158:.4 CMC: 1: 0.9371 2: 0.9427 3: 0.9435 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1178, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7179670422333695:.4 CMC: 1: 0.9372 2: 0.9427 3: 0.9435 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1179, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7181912337737245:.4 CMC: 1: 0.9372 2: 0.9428 3: 0.9436 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1180, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7184150691718391:.4 CMC: 1: 0.9373 2: 0.9428 3: 0.9436 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 41, 43, 44, 45, 47, 48, 50, 51, 52, 53] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1181, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.718638549275671:.4 CMC: 1: 0.9373 2: 0.9429 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 28, 29, 30] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1182, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.718861674930488:.4 CMC: 1: 0.9374 2: 0.9429 3: 0.9437 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 41] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1183, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7190844469788791:.4 CMC: 1: 0.9374 2: 0.9429 3: 0.9437 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1184, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7193068662607645:.4 CMC: 1: 0.9375 2: 0.943 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1185, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7195289336134062:.4 CMC: 1: 0.9375 2: 0.943 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1186, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7197506498714193:.4 CMC: 1: 0.9375 2: 0.9431 3: 0.9439 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 45, 46] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1187, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7199720158667815:.4 CMC: 1: 0.9376 2: 0.9431 3: 0.9439 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 38, 39, 40, 43] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1188, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.720193032428844:.4 CMC: 1: 0.9376 2: 0.9432 3: 0.944 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1189, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7198222177344996:.4 CMC: 1: 0.9377 2: 0.9432 3: 0.944 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 9, 12, 13, 14] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.9, 0.7692307692307693, 0.7857142857142857, 0.8] max_possible 12 AP 0.9287 nr: adding to 0 name_rank_counts [1190, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7199867808636707:.4 CMC: 1: 0.9377 2: 0.9433 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1191, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7202072637133844:.4 CMC: 1: 0.9378 2: 0.9433 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1192, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.720427399619196:.4 CMC: 1: 0.9378 2: 0.9434 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1193, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7203851348920322:.4 CMC: 1: 0.9379 2: 0.9434 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1194, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7206047852181185:.4 CMC: 1: 0.9379 2: 0.9434 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1195, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7208240907242268:.4 CMC: 1: 0.938 2: 0.9435 3: 0.9443 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1196, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.721043052221698:.4 CMC: 1: 0.938 2: 0.9435 3: 0.9443 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1197, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7208698209895493:.4 CMC: 1: 0.9381 2: 0.9436 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1198, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7210884037452349:.4 CMC: 1: 0.9381 2: 0.9436 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 4, 5] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 0.6, 0.6666666666666666] max_possible 12 AP 0.2722 nr: adding to 0 name_rank_counts [1199, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7207371782510853:.4 CMC: 1: 0.9382 2: 0.9437 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 66, 67, 68, 69, 70, 71, 72, 73] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1200, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7209555229123432:.4 CMC: 1: 0.9382 2: 0.9437 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1201, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7206526930767347:.4 CMC: 1: 0.9383 2: 0.9437 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 18, 22, 23, 24] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1202, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7208707627933025:.4 CMC: 1: 0.9383 2: 0.9438 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1203, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7210884923075043:.4 CMC: 1: 0.9384 2: 0.9438 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1204, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7213058824148251:.4 CMC: 1: 0.9384 2: 0.9439 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1205, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7211335258085829:.4 CMC: 1: 0.9385 2: 0.9439 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1206, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.721350542520016:.4 CMC: 1: 0.9385 2: 0.944 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1207, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7215672217248993:.4 CMC: 1: 0.9386 2: 0.944 3: 0.9448 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1208, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.7217835642099616:.4 CMC: 1: 0.9386 2: 0.9441 3: 0.9448 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 41, 43, 44, 45, 46, 48, 50, 54, 55, 57, 60, 61, 62] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1209, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 70] At the end mAP 0.721999570759488:.4 CMC: 1: 0.9387 2: 0.9441 3: 0.9449 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1209, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7214394469652603:.4 CMC: 1: 0.9379 2: 0.9434 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1210, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7216553853784655:.4 CMC: 1: 0.938 2: 0.9434 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 76, 83, 85] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1211, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7218709892627578:.4 CMC: 1: 0.938 2: 0.9435 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 19, 21, 22, 30, 32, 34] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1212, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7220862593949074:.4 CMC: 1: 0.9381 2: 0.9435 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1213, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.722301196549281:.4 CMC: 1: 0.9381 2: 0.9435 3: 0.9443 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 44] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1214, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.722515801497852:.4 CMC: 1: 0.9382 2: 0.9436 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 24, 26, 36, 49] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1215, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7227300750102088:.4 CMC: 1: 0.9382 2: 0.9436 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1216, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7226868162074747:.4 CMC: 1: 0.9383 2: 0.9437 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1217, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7229006274517249:.4 CMC: 1: 0.9383 2: 0.9437 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17, 18, 19] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1218, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7231141092487574:.4 CMC: 1: 0.9384 2: 0.9438 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1219, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7232631104476934:.4 CMC: 1: 0.9384 2: 0.9438 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 16, 18, 30] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1220, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7234759849781183:.4 CMC: 1: 0.9385 2: 0.9438 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1221, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7236885322609945:.4 CMC: 1: 0.9385 2: 0.9439 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1222, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7233247161839891:.4 CMC: 1: 0.9386 2: 0.9439 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1223, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.72328123341383:.4 CMC: 1: 0.9386 2: 0.944 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1224, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 71] At the end mAP 0.7234934410569175:.4 CMC: 1: 0.9387 2: 0.944 3: 0.9448 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1224, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7229390399526593:.4 CMC: 1: 0.9379 2: 0.9433 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1225, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7225769120507047:.4 CMC: 1: 0.938 2: 0.9433 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1226, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7221515790396994:.4 CMC: 1: 0.938 2: 0.9434 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 210 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.75, 0.8, 0.8333333333333334, 0.8571428571428571, 0.875, 0.8888888888888888] max_possible 12 AP 0.5559 nr: adding to 0 name_rank_counts [1227, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7220244901506547:.4 CMC: 1: 0.9381 2: 0.9434 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1228, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7219821999875654:.4 CMC: 1: 0.9381 2: 0.9435 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 66] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1229, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7221944273158192:.4 CMC: 1: 0.9382 2: 0.9435 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1230, 7, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7217706837912965:.4 CMC: 1: 0.9382 2: 0.9436 3: 0.9443 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [1, 3] num_for_qnid 65 name_ranks [1] precisions [0.5, 0.5] max_possible 12 AP 0.08333 nr: adding to 1 name_rank_counts [1230, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.721284069957106:.4 CMC: 1: 0.9375 2: 0.9436 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1231, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7214963440850899:.4 CMC: 1: 0.9375 2: 0.9436 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1232, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.721518036365086:.4 CMC: 1: 0.9376 2: 0.9437 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 8, 9] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7777777777777778, 0.8] max_possible 12 AP 0.6315 nr: adding to 0 name_rank_counts [1233, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7214495675020567:.4 CMC: 1: 0.9376 2: 0.9437 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1234, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.72159790876282:.4 CMC: 1: 0.9377 2: 0.9438 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1235, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7213663740307804:.4 CMC: 1: 0.9377 2: 0.9438 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 46] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1236, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7215777804237768:.4 CMC: 1: 0.9378 2: 0.9439 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1237, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7213466120282066:.4 CMC: 1: 0.9378 2: 0.9439 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 36] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1238, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7215577130797004:.4 CMC: 1: 0.9379 2: 0.9439 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.9, 0.9090909090909091, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9615 nr: adding to 0 name_rank_counts [1239, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7217393324861329:.4 CMC: 1: 0.9379 2: 0.944 3: 0.9447 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1240, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7219498171060375:.4 CMC: 1: 0.938 2: 0.944 3: 0.9448 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1241, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.722159983533017:.4 CMC: 1: 0.938 2: 0.9441 3: 0.9448 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1242, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7223698324880525:.4 CMC: 1: 0.9381 2: 0.9441 3: 0.9449 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 15, 16, 17, 18, 19, 20, 21, 25, 26, 27] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [1243, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7225692856704353:.4 CMC: 1: 0.9381 2: 0.9442 3: 0.9449 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1244, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7224014355304124:.4 CMC: 1: 0.9382 2: 0.9442 3: 0.9449 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1245, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7226106281185583:.4 CMC: 1: 0.9382 2: 0.9442 3: 0.945 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 40, 41] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1246, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7228195056576256:.4 CMC: 1: 0.9383 2: 0.9443 3: 0.945 4: 0.9458 5: 0.9458 6: 0.9458 7: 0.9458 8: 0.9458 9: 0.9458 10: 0.9458 11: 0.9458 12: 0.9458 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1247, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7230280688587861:.4 CMC: 1: 0.9383 2: 0.9443 3: 0.9451 4: 0.9458 5: 0.9458 6: 0.9458 7: 0.9458 8: 0.9458 9: 0.9458 10: 0.9458 11: 0.9458 12: 0.9458 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1248, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7227350652982407:.4 CMC: 1: 0.9383 2: 0.9444 3: 0.9451 4: 0.9459 5: 0.9459 6: 0.9459 7: 0.9459 8: 0.9459 9: 0.9459 10: 0.9459 11: 0.9459 12: 0.9459 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 27, 28, 30] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1249, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 72] At the end mAP 0.7229433785474532:.4 CMC: 1: 0.9384 2: 0.9444 3: 0.9452 4: 0.9459 5: 0.9459 6: 0.9459 7: 0.9459 8: 0.9459 9: 0.9459 10: 0.9459 11: 0.9459 12: 0.9459 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1249, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 73] At the end mAP 0.7224006282632583:.4 CMC: 1: 0.9377 2: 0.9437 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 33, 34] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1250, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 73] At the end mAP 0.7226088798549589:.4 CMC: 1: 0.9377 2: 0.9437 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1251, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 73] At the end mAP 0.7221921315692105:.4 CMC: 1: 0.9378 2: 0.9438 3: 0.9445 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1251, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 74] At the end mAP 0.7216511636803946:.4 CMC: 1: 0.9371 2: 0.9431 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1252, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 74] At the end mAP 0.7218595086177596:.4 CMC: 1: 0.9371 2: 0.9431 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1253, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 74] At the end mAP 0.7220675418947844:.4 CMC: 1: 0.9372 2: 0.9432 3: 0.9439 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 41] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1254, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 74] At the end mAP 0.7222752642102592:.4 CMC: 1: 0.9372 2: 0.9432 3: 0.9439 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1254, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7217358502713419:.4 CMC: 1: 0.9365 2: 0.9425 3: 0.9432 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1255, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7213838085920349:.4 CMC: 1: 0.9366 2: 0.9425 3: 0.9433 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1256, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7215915760725777:.4 CMC: 1: 0.9366 2: 0.9426 3: 0.9433 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666] max_possible 12 AP 0.9097 nr: adding to 0 name_rank_counts [1257, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7217317628431811:.4 CMC: 1: 0.9367 2: 0.9426 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1258, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7219389618284058:.4 CMC: 1: 0.9367 2: 0.9427 3: 0.9434 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1259, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7221458524818073:.4 CMC: 1: 0.9368 2: 0.9427 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 21] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.45454545454545453] max_possible 12 AP 0.7879 nr: adding to 0 name_rank_counts [1260, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7221947245527344:.4 CMC: 1: 0.9368 2: 0.9428 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 25] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1261, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7224011177737204:.4 CMC: 1: 0.9368 2: 0.9428 3: 0.9435 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 41] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1262, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7226072045459746:.4 CMC: 1: 0.9369 2: 0.9428 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 21, 37, 38, 39] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1263, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7228129855515042:.4 CMC: 1: 0.9369 2: 0.9429 3: 0.9436 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1264, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7230184614702948:.4 CMC: 1: 0.937 2: 0.9429 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 78, 79, 80] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1265, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7232236329803168:.4 CMC: 1: 0.937 2: 0.943 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1266, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7234285007575335:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9437 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 6] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.8571428571428571] max_possible 12 AP 0.4881 nr: adding to 0 name_rank_counts [1267, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7232544376934342:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 210 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1268, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7227814730930202:.4 CMC: 1: 0.9372 2: 0.9431 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 13, 33] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.6428571428571429, 0.29411764705882354] max_possible 12 AP 0.7447 nr: adding to 0 name_rank_counts [1269, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7227976964505288:.4 CMC: 1: 0.9372 2: 0.9431 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1270, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7225717694912788:.4 CMC: 1: 0.9373 2: 0.9432 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 29] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1271, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7227763625816245:.4 CMC: 1: 0.9373 2: 0.9432 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1272, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7223665544048263:.4 CMC: 1: 0.9374 2: 0.9433 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 48, 51] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1273, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7225709972955444:.4 CMC: 1: 0.9374 2: 0.9433 3: 0.944 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1274, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.7227751393137228:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 210 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.75, 0.8, 0.8333333333333334, 0.8571428571428571, 0.875, 0.8888888888888888, 0.9] max_possible 12 AP 0.6309 nr: adding to 0 name_rank_counts [1275, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.722707598264352:.4 CMC: 1: 0.9375 2: 0.9434 3: 0.9441 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 65, 66, 67, 72, 75, 78] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1276, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 75] At the end mAP 0.722911339926171:.4 CMC: 1: 0.9375 2: 0.9434 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1276, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7223805680172678:.4 CMC: 1: 0.9369 2: 0.9427 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 8] num_for_qnid 65 name_ranks [0] precisions [1.0, 0.2222222222222222] max_possible 12 AP 0.1019 nr: adding to 0 name_rank_counts [1277, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7219253011675499:.4 CMC: 1: 0.9369 2: 0.9428 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1278, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7218236941530087:.4 CMC: 1: 0.937 2: 0.9428 3: 0.9435 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 48, 49] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1279, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7220274863184645:.4 CMC: 1: 0.937 2: 0.9429 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1280, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7222309801059326:.4 CMC: 1: 0.937 2: 0.9429 3: 0.9436 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1281, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7224341761702296:.4 CMC: 1: 0.9371 2: 0.9429 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1282, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7226370751642572:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1283, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7224744476440497:.4 CMC: 1: 0.9372 2: 0.943 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1284, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7226161937893216:.4 CMC: 1: 0.9372 2: 0.9431 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 43, 46, 53, 64, 65, 66] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1285, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7228185160403869:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9438 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1286, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7227168504553235:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 63, 64, 67, 68] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1287, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7229188046793182:.4 CMC: 1: 0.9374 2: 0.9432 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1288, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.722695913749178:.4 CMC: 1: 0.9374 2: 0.9432 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1289, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7228975894482695:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1290, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7230989720140775:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.944 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1291, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7233000620852365:.4 CMC: 1: 0.9375 2: 0.9434 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1292, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7231984897131377:.4 CMC: 1: 0.9376 2: 0.9434 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 45] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1293, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7233992159715038:.4 CMC: 1: 0.9376 2: 0.9434 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 39, 40, 42, 43, 44, 45] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1294, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7235996513222491:.4 CMC: 1: 0.9377 2: 0.9435 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [1295, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7236127338822379:.4 CMC: 1: 0.9377 2: 0.9435 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1296, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7237524255846869:.4 CMC: 1: 0.9378 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1297, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.723590637858306:.4 CMC: 1: 0.9378 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 58, 61, 62, 63] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1298, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7237903556055182:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1299, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7239897849516514:.4 CMC: 1: 0.9379 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 6] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.5714285714285714] max_possible 12 AP 0.2976 nr: adding to 0 name_rank_counts [1300, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7236821581570392:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1301, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7238813779420737:.4 CMC: 1: 0.938 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1302, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7240803106668994:.4 CMC: 1: 0.938 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 36 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1303, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7236190097472927:.4 CMC: 1: 0.9381 2: 0.9438 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1304, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7238178449920788:.4 CMC: 1: 0.9381 2: 0.9439 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 34, 35, 41, 45, 46, 55] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1305, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7240163943486625:.4 CMC: 1: 0.9382 2: 0.9439 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1306, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7236159994293507:.4 CMC: 1: 0.9382 2: 0.944 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1307, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7238144086185616:.4 CMC: 1: 0.9383 2: 0.944 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 49, 50, 54, 55, 56] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1308, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7240125331460949:.4 CMC: 1: 0.9383 2: 0.944 3: 0.9448 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 35, 36] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1309, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7242103736241263:.4 CMC: 1: 0.9384 2: 0.9441 3: 0.9448 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 10] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8181818181818182] max_possible 12 AP 0.7348 nr: adding to 0 name_rank_counts [1310, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7242179940476395:.4 CMC: 1: 0.9384 2: 0.9441 3: 0.9448 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 34] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1311, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7244154042165388:.4 CMC: 1: 0.9384 2: 0.9442 3: 0.9449 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 23, 24, 26, 28, 29, 30] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1312, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7246125319674569:.4 CMC: 1: 0.9385 2: 0.9442 3: 0.9449 4: 0.9456 5: 0.9456 6: 0.9456 7: 0.9456 8: 0.9456 9: 0.9456 10: 0.9456 11: 0.9456 12: 0.9456 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 24, 25, 26, 27, 28] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1313, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 76] At the end mAP 0.7248093779060077:.4 CMC: 1: 0.9385 2: 0.9442 3: 0.945 4: 0.9457 5: 0.9457 6: 0.9457 7: 0.9457 8: 0.9457 9: 0.9457 10: 0.9457 11: 0.9457 12: 0.9457 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1313, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7242916569217891:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1314, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7244884508854423:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1315, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7246849641159092:.4 CMC: 1: 0.9379 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 8] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.4722 nr: adding to 0 name_rank_counts [1316, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7245050191822716:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 36 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1317, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7240483441923506:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9444 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 21, 23, 29] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1318, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7242447510648116:.4 CMC: 1: 0.9381 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1319, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7238481805922667:.4 CMC: 1: 0.9381 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 62, 65, 66, 69] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1320, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7240444505420945:.4 CMC: 1: 0.9382 2: 0.9439 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1321, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7240036992751375:.4 CMC: 1: 0.9382 2: 0.9439 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1322, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7238447186510956:.4 CMC: 1: 0.9383 2: 0.9439 3: 0.9446 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9, 11, 15, 24] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6, 0.5833333333333334, 0.5, 0.36] max_possible 12 AP 0.5869 nr: adding to 0 name_rank_counts [1323, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7237476262580412:.4 CMC: 1: 0.9383 2: 0.944 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 7] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875] max_possible 12 AP 0.5729 nr: adding to 0 name_rank_counts [1324, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7236407297593939:.4 CMC: 1: 0.9383 2: 0.944 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64, 65, 66, 69, 70] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1325, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 77] At the end mAP 0.7238364516221705:.4 CMC: 1: 0.9384 2: 0.9441 3: 0.9448 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1325, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7233241823711993:.4 CMC: 1: 0.9377 2: 0.9434 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.3056 nr: adding to 0 name_rank_counts [1326, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7230287307256438:.4 CMC: 1: 0.9378 2: 0.9434 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 33 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1327, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7225766491727164:.4 CMC: 1: 0.9378 2: 0.9435 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 55, 58, 60, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1328, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7227725696182158:.4 CMC: 1: 0.9379 2: 0.9435 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1329, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7229682135352108:.4 CMC: 1: 0.9379 2: 0.9435 3: 0.9442 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1330, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7231635815087402:.4 CMC: 1: 0.9379 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1331, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7233586741221942:.4 CMC: 1: 0.938 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 7, 9] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875, 0.8] max_possible 12 AP 0.6396 nr: adding to 0 name_rank_counts [1332, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7232996774033289:.4 CMC: 1: 0.938 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 17] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.5555555555555556] max_possible 12 AP 0.7963 nr: adding to 0 name_rank_counts [1333, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7233510472969903:.4 CMC: 1: 0.9381 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 3, 4] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.8] max_possible 12 AP 0.2958 nr: adding to 0 name_rank_counts [1334, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7230504019285209:.4 CMC: 1: 0.9381 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1335, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7230693405076294:.4 CMC: 1: 0.9382 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9230769230769231] max_possible 12 AP 0.9936 nr: adding to 0 name_rank_counts [1336, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7232593127008051:.4 CMC: 1: 0.9382 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 60, 61, 63, 64, 65, 69, 70, 71, 72, 73] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1337, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7234535166918923:.4 CMC: 1: 0.9382 2: 0.9439 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1338, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.723121501603048:.4 CMC: 1: 0.9383 2: 0.9439 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1339, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.723315529983144:.4 CMC: 1: 0.9383 2: 0.9439 3: 0.9446 4: 0.9453 5: 0.9453 6: 0.9453 7: 0.9453 8: 0.9453 9: 0.9453 10: 0.9453 11: 0.9453 12: 0.9453 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1340, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7235092866148084:.4 CMC: 1: 0.9384 2: 0.944 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1341, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7237027720685419:.4 CMC: 1: 0.9384 2: 0.944 3: 0.9447 4: 0.9454 5: 0.9454 6: 0.9454 7: 0.9454 8: 0.9454 9: 0.9454 10: 0.9454 11: 0.9454 12: 0.9454 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 43, 44, 45, 46, 47, 48, 49, 50, 53, 54, 55, 56, 57, 58, 59, 60] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1342, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 78] At the end mAP 0.7238959869132493:.4 CMC: 1: 0.9385 2: 0.9441 3: 0.9448 4: 0.9455 5: 0.9455 6: 0.9455 7: 0.9455 8: 0.9455 9: 0.9455 10: 0.9455 11: 0.9455 12: 0.9455 13: 1.0 ======================================== annot_ranks [] num_for_qnid 2 name_ranks [] precisions [] max_possible 2 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1342, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7233901196966782:.4 CMC: 1: 0.9378 2: 0.9434 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 43, 45] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1343, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7235832830209123:.4 CMC: 1: 0.9378 2: 0.9434 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1344, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7235435645168269:.4 CMC: 1: 0.9379 2: 0.9435 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1345, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7235039014081448:.4 CMC: 1: 0.9379 2: 0.9435 3: 0.9442 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 36 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1346, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.723057789514016:.4 CMC: 1: 0.938 2: 0.9436 3: 0.9443 4: 0.9449 5: 0.9449 6: 0.9449 7: 0.9449 8: 0.9449 9: 0.9449 10: 0.9449 11: 0.9449 12: 0.9449 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1347, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.723250646206555:.4 CMC: 1: 0.938 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 57, 60, 67, 68] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1348, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7234432344833771:.4 CMC: 1: 0.9381 2: 0.9436 3: 0.9443 4: 0.945 5: 0.945 6: 0.945 7: 0.945 8: 0.945 9: 0.945 10: 0.945 11: 0.945 12: 0.945 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 18, 25, 26] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1349, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7236355549044596:.4 CMC: 1: 0.9381 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1350, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7232485021676718:.4 CMC: 1: 0.9382 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1351, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7229777277448701:.4 CMC: 1: 0.9382 2: 0.9437 3: 0.9444 4: 0.9451 5: 0.9451 6: 0.9451 7: 0.9451 8: 0.9451 9: 0.9451 10: 0.9451 11: 0.9451 12: 0.9451 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 32] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1352, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 79] At the end mAP 0.7231699708206891:.4 CMC: 1: 0.9382 2: 0.9438 3: 0.9445 4: 0.9452 5: 0.9452 6: 0.9452 7: 0.9452 8: 0.9452 9: 0.9452 10: 0.9452 11: 0.9452 12: 0.9452 13: 1.0 ======================================== annot_ranks [] num_for_qnid 33 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1352, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 80] At the end mAP 0.7226684659865554:.4 CMC: 1: 0.9376 2: 0.9431 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [] num_for_qnid 33 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1352, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7221676562388171:.4 CMC: 1: 0.9369 2: 0.9425 3: 0.9432 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1353, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7218406703272943:.4 CMC: 1: 0.937 2: 0.9425 3: 0.9432 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1354, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7215141369914276:.4 CMC: 1: 0.937 2: 0.9426 3: 0.9433 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1355, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7213609460253202:.4 CMC: 1: 0.9371 2: 0.9426 3: 0.9433 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1356, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.720977605127353:.4 CMC: 1: 0.9371 2: 0.9426 3: 0.9433 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1357, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7205947937057642:.4 CMC: 1: 0.9372 2: 0.9427 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1358, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7203850434455576:.4 CMC: 1: 0.9372 2: 0.9427 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1359, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7201181112316872:.4 CMC: 1: 0.9372 2: 0.9428 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1360, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7198515469464367:.4 CMC: 1: 0.9373 2: 0.9428 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1361, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7195853498296233:.4 CMC: 1: 0.9373 2: 0.9428 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1362, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7193195191231565:.4 CMC: 1: 0.9374 2: 0.9429 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 3, 4] num_for_qnid 33 name_ranks [0] precisions [1.0, 1.0, 0.75, 0.8] max_possible 12 AP 0.2958 nr: adding to 0 name_rank_counts [1363, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7190282631494358:.4 CMC: 1: 0.9374 2: 0.9429 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1364, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7188777282606732:.4 CMC: 1: 0.9375 2: 0.943 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1365, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7186701657183697:.4 CMC: 1: 0.9375 2: 0.943 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1366, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7185772783934659:.4 CMC: 1: 0.9375 2: 0.943 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 7, 17] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.5, 0.2777777777777778] max_possible 12 AP 0.3148 nr: adding to 0 name_rank_counts [1367, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.7183003494061005:.4 CMC: 1: 0.9376 2: 0.9431 3: 0.9438 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6] max_possible 12 AP 0.4667 nr: adding to 0 name_rank_counts [1368, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 81] At the end mAP 0.718127879438493:.4 CMC: 1: 0.9376 2: 0.9431 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [] num_for_qnid 17 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1368, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 82] At the end mAP 0.7176360110279187:.4 CMC: 1: 0.937 2: 0.9425 3: 0.9432 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [] num_for_qnid 17 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1368, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7171448159485019:.4 CMC: 1: 0.9363 2: 0.9418 3: 0.9425 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 8] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7777777777777778] max_possible 12 AP 0.5648 nr: adding to 0 name_rank_counts [1369, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7170406230612696:.4 CMC: 1: 0.9364 2: 0.9419 3: 0.9425 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1370, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7172340334351169:.4 CMC: 1: 0.9364 2: 0.9419 3: 0.9426 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1371, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.716971806180949:.4 CMC: 1: 0.9365 2: 0.9419 3: 0.9426 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1372, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7168237025589824:.4 CMC: 1: 0.9365 2: 0.942 3: 0.9427 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 65 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1373, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7163915808882966:.4 CMC: 1: 0.9366 2: 0.942 3: 0.9427 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 65 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1374, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7159600483405426:.4 CMC: 1: 0.9366 2: 0.9421 3: 0.9427 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 21, 22, 29] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1375, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7161535360460327:.4 CMC: 1: 0.9366 2: 0.9421 3: 0.9428 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 21, 22, 23, 24, 25] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1376, 8, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7163467603237413:.4 CMC: 1: 0.9367 2: 0.9421 3: 0.9428 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [1, 2, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 23, 24, 25] num_for_qnid 65 name_ranks [1] precisions [0.5, 0.6666666666666666, 0.5, 0.5, 0.5, 0.5454545454545454, 0.5833333333333334, 0.6153846153846154, 0.6428571428571429, 0.6666666666666666, 0.6875, 0.7058823529411765] max_possible 12 AP 0.5928 nr: adding to 1 name_rank_counts [1376, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7162627231468377:.4 CMC: 1: 0.9361 2: 0.9422 3: 0.9429 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 22] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1377, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7164556104866427:.4 CMC: 1: 0.9361 2: 0.9422 3: 0.9429 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 65 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1378, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7160255002440113:.4 CMC: 1: 0.9361 2: 0.9423 3: 0.9429 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1379, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 83] At the end mAP 0.7159919911920241:.4 CMC: 1: 0.9362 2: 0.9423 3: 0.943 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [] num_for_qnid 65 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1379, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7155062435724908:.4 CMC: 1: 0.9355 2: 0.9417 3: 0.9423 4: 0.943 5: 0.943 6: 0.943 7: 0.943 8: 0.943 9: 0.943 10: 0.943 11: 0.943 12: 0.943 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 65 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1380, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7150776517689388:.4 CMC: 1: 0.9356 2: 0.9417 3: 0.9424 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1381, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7147060996110105:.4 CMC: 1: 0.9356 2: 0.9417 3: 0.9424 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 24, 25] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.24, 0.2692307692307692] max_possible 12 AP 0.4591 nr: adding to 0 name_rank_counts [1382, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7145330437305037:.4 CMC: 1: 0.9357 2: 0.9418 3: 0.9425 4: 0.9431 5: 0.9431 6: 0.9431 7: 0.9431 8: 0.9431 9: 0.9431 10: 0.9431 11: 0.9431 12: 0.9431 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 15] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.4375] max_possible 12 AP 0.5365 nr: adding to 0 name_rank_counts [1383, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7144125601646057:.4 CMC: 1: 0.9357 2: 0.9418 3: 0.9425 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 8, 9] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666, 0.7] max_possible 12 AP 0.5306 nr: adding to 0 name_rank_counts [1384, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7142882484643968:.4 CMC: 1: 0.9358 2: 0.9419 3: 0.9425 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 8, 15] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.8888888888888888, 0.5625] max_possible 12 AP 0.7043 nr: adding to 0 name_rank_counts [1385, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7142814877609799:.4 CMC: 1: 0.9358 2: 0.9419 3: 0.9426 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 18, 23] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1386, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7144744104566173:.4 CMC: 1: 0.9359 2: 0.9419 3: 0.9426 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 26, 27, 32, 39] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1387, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7146670727977397:.4 CMC: 1: 0.9359 2: 0.942 3: 0.9426 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 34] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1388, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7148594753110251:.4 CMC: 1: 0.9359 2: 0.942 3: 0.9427 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 28] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1389, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7150516185217319:.4 CMC: 1: 0.936 2: 0.942 3: 0.9427 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1390, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7152435029537039:.4 CMC: 1: 0.936 2: 0.9421 3: 0.9428 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 29] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1391, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7154351291293743:.4 CMC: 1: 0.9361 2: 0.9421 3: 0.9428 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 65 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1392, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7150660851061984:.4 CMC: 1: 0.9361 2: 0.9422 3: 0.9428 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1393, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7147535406941646:.4 CMC: 1: 0.9362 2: 0.9422 3: 0.9429 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1394, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7143854501138909:.4 CMC: 1: 0.9362 2: 0.9422 3: 0.9429 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 210 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1395, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7139619252032999:.4 CMC: 1: 0.9362 2: 0.9423 3: 0.943 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 210 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1396, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7135389684012409:.4 CMC: 1: 0.9363 2: 0.9423 3: 0.943 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1397, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7134516992088361:.4 CMC: 1: 0.9363 2: 0.9424 3: 0.943 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1398, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7135319950120006:.4 CMC: 1: 0.9364 2: 0.9424 3: 0.9431 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1399, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7137237406646031:.4 CMC: 1: 0.9364 2: 0.9424 3: 0.9431 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1400, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7139152298012823:.4 CMC: 1: 0.9365 2: 0.9425 3: 0.9431 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1401, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7141064629364419:.4 CMC: 1: 0.9365 2: 0.9425 3: 0.9432 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1402, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7137964385791028:.4 CMC: 1: 0.9365 2: 0.9426 3: 0.9432 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1403, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7139874956962062:.4 CMC: 1: 0.9366 2: 0.9426 3: 0.9433 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1404, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.714178297900545:.4 CMC: 1: 0.9366 2: 0.9426 3: 0.9433 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1405, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7143688457019446:.4 CMC: 1: 0.9367 2: 0.9427 3: 0.9433 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1406, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7145591396088721:.4 CMC: 1: 0.9367 2: 0.9427 3: 0.9434 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1407, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.71474918012844:.4 CMC: 1: 0.9368 2: 0.9427 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 40, 41, 43, 46, 47, 48, 49] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1408, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7149389677664119:.4 CMC: 1: 0.9368 2: 0.9428 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1409, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7151285030272054:.4 CMC: 1: 0.9368 2: 0.9428 3: 0.9435 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1410, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.715096302471484:.4 CMC: 1: 0.9369 2: 0.9429 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1411, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7152854815535082:.4 CMC: 1: 0.9369 2: 0.9429 3: 0.9436 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 55, 56, 57] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1412, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7154744095684031:.4 CMC: 1: 0.937 2: 0.9429 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1413, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7156630870156389:.4 CMC: 1: 0.937 2: 0.943 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1414, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7158515143933621:.4 CMC: 1: 0.937 2: 0.943 3: 0.9437 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37, 38] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1415, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7160396921983997:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1416, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7161173186981582:.4 CMC: 1: 0.9371 2: 0.9431 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1417, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7163050717942573:.4 CMC: 1: 0.9372 2: 0.9431 3: 0.9438 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1418, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7164925767038447:.4 CMC: 1: 0.9372 2: 0.9432 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 63, 64, 65, 67, 68, 70, 71, 72, 73] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1419, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7166798339187034:.4 CMC: 1: 0.9373 2: 0.9432 3: 0.9439 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1420, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7168668439293181:.4 CMC: 1: 0.9373 2: 0.9432 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 60] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1421, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7170536072248792:.4 CMC: 1: 0.9373 2: 0.9433 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 35, 36, 37] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1422, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7172401242932874:.4 CMC: 1: 0.9374 2: 0.9433 3: 0.944 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1423, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7174263956211574:.4 CMC: 1: 0.9374 2: 0.9433 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1424, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7176124216938229:.4 CMC: 1: 0.9375 2: 0.9434 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 48, 49, 50, 56] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1425, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7177982029953401:.4 CMC: 1: 0.9375 2: 0.9434 3: 0.9441 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1426, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7179837400084924:.4 CMC: 1: 0.9375 2: 0.9435 3: 0.9441 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 37, 38, 39, 41, 43, 44, 47] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1427, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7181690332147943:.4 CMC: 1: 0.9376 2: 0.9435 3: 0.9442 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 64] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1428, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 84] At the end mAP 0.7183540830944957:.4 CMC: 1: 0.9376 2: 0.9435 3: 0.9442 4: 0.9448 5: 0.9448 6: 0.9448 7: 0.9448 8: 0.9448 9: 0.9448 10: 0.9448 11: 0.9448 12: 0.9448 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1428, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.7178827221475833:.4 CMC: 1: 0.937 2: 0.9429 3: 0.9436 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1429, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.71806771708388:.4 CMC: 1: 0.937 2: 0.943 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1430, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.7182524695628552:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1431, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.7178912476880049:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9437 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1432, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.718075873834806:.4 CMC: 1: 0.9372 2: 0.9431 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20, 21] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [1433, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.718251524211072:.4 CMC: 1: 0.9372 2: 0.9431 3: 0.9438 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1434, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.7184356735416529:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9438 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1435, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 85] At the end mAP 0.7182929983793135:.4 CMC: 1: 0.9373 2: 0.9432 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [] num_for_qnid 210 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1435, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.717824138719797:.4 CMC: 1: 0.9367 2: 0.9426 3: 0.9432 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 48, 49, 51, 52, 55, 56, 57, 60, 61, 62, 63, 64, 65] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1436, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7180082064701429:.4 CMC: 1: 0.9367 2: 0.9426 3: 0.9432 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1437, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7181920342364596:.4 CMC: 1: 0.9368 2: 0.9426 3: 0.9433 4: 0.9439 5: 0.9439 6: 0.9439 7: 0.9439 8: 0.9439 9: 0.9439 10: 0.9439 11: 0.9439 12: 0.9439 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 66, 67, 71] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1438, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7183756224877713:.4 CMC: 1: 0.9368 2: 0.9427 3: 0.9433 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 29, 32, 34] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1439, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7185589716918807:.4 CMC: 1: 0.9368 2: 0.9427 3: 0.9434 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 38, 40, 42, 43, 44, 45] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1440, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7187420823153733:.4 CMC: 1: 0.9369 2: 0.9427 3: 0.9434 4: 0.944 5: 0.944 6: 0.944 7: 0.944 8: 0.944 9: 0.944 10: 0.944 11: 0.944 12: 0.944 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1441, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7189249548236207:.4 CMC: 1: 0.9369 2: 0.9428 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 36, 37, 41, 42] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1442, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7191075896807854:.4 CMC: 1: 0.937 2: 0.9428 3: 0.9435 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 43, 44, 45, 46] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1443, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7192899873498239:.4 CMC: 1: 0.937 2: 0.9429 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 42, 44] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1444, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7194721482924911:.4 CMC: 1: 0.9371 2: 0.9429 3: 0.9435 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 54, 55, 56, 57, 59, 60, 61, 62, 63, 64] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1445, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7196540729693441:.4 CMC: 1: 0.9371 2: 0.9429 3: 0.9436 4: 0.9442 5: 0.9442 6: 0.9442 7: 0.9442 8: 0.9442 9: 0.9442 10: 0.9442 11: 0.9442 12: 0.9442 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 22, 25, 27, 30] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1446, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7198357618397464:.4 CMC: 1: 0.9371 2: 0.943 3: 0.9436 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 53, 55, 57] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1447, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7200172153618709:.4 CMC: 1: 0.9372 2: 0.943 3: 0.9437 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 48] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1448, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7201984339927047:.4 CMC: 1: 0.9372 2: 0.943 3: 0.9437 4: 0.9443 5: 0.9443 6: 0.9443 7: 0.9443 8: 0.9443 9: 0.9443 10: 0.9443 11: 0.9443 12: 0.9443 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1449, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7203794181880522:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9437 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1450, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7205601684025396:.4 CMC: 1: 0.9373 2: 0.9431 3: 0.9438 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 42, 44] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1451, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7207406850896181:.4 CMC: 1: 0.9373 2: 0.9432 3: 0.9438 4: 0.9444 5: 0.9444 6: 0.9444 7: 0.9444 8: 0.9444 9: 0.9444 10: 0.9444 11: 0.9444 12: 0.9444 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1452, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7206519779548496:.4 CMC: 1: 0.9374 2: 0.9432 3: 0.9438 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1453, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7208322024852013:.4 CMC: 1: 0.9374 2: 0.9432 3: 0.9439 4: 0.9445 5: 0.9445 6: 0.9445 7: 0.9445 8: 0.9445 9: 0.9445 10: 0.9445 11: 0.9445 12: 0.9445 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1454, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.721012194617706:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1455, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7211919548015864:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.9439 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1456, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.7213714834849079:.4 CMC: 1: 0.9375 2: 0.9433 3: 0.944 4: 0.9446 5: 0.9446 6: 0.9446 7: 0.9446 8: 0.9446 9: 0.9446 10: 0.9446 11: 0.9446 12: 0.9446 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1457, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 86] At the end mAP 0.721550781114583:.4 CMC: 1: 0.9376 2: 0.9434 3: 0.944 4: 0.9447 5: 0.9447 6: 0.9447 7: 0.9447 8: 0.9447 9: 0.9447 10: 0.9447 11: 0.9447 12: 0.9447 13: 1.0 ======================================== annot_ranks [] num_for_qnid 2 name_ranks [] precisions [] max_possible 2 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1457, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 87] At the end mAP 0.721086761319654:.4 CMC: 1: 0.937 2: 0.9428 3: 0.9434 4: 0.9441 5: 0.9441 6: 0.9441 7: 0.9441 8: 0.9441 9: 0.9441 10: 0.9441 11: 0.9441 12: 0.9441 13: 1.0 ======================================== annot_ranks [] num_for_qnid 2 name_ranks [] precisions [] max_possible 2 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1457, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7206233379511967:.4 CMC: 1: 0.9364 2: 0.9422 3: 0.9428 4: 0.9434 5: 0.9434 6: 0.9434 7: 0.9434 8: 0.9434 9: 0.9434 10: 0.9434 11: 0.9434 12: 0.9434 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 9, 13] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7, 0.5714285714285714] max_possible 12 AP 0.606 nr: adding to 0 name_rank_counts [1458, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7205496892954493:.4 CMC: 1: 0.9364 2: 0.9422 3: 0.9428 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1459, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7203546424259828:.4 CMC: 1: 0.9365 2: 0.9422 3: 0.9429 4: 0.9435 5: 0.9435 6: 0.9435 7: 0.9435 8: 0.9435 9: 0.9435 10: 0.9435 11: 0.9435 12: 0.9435 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1460, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7203736580498276:.4 CMC: 1: 0.9365 2: 0.9423 3: 0.9429 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1461, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.720232392884411:.4 CMC: 1: 0.9365 2: 0.9423 3: 0.9429 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 13] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.7857142857142857] max_possible 12 AP 0.8988 nr: adding to 0 name_rank_counts [1462, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7203467920714227:.4 CMC: 1: 0.9366 2: 0.9423 3: 0.943 4: 0.9436 5: 0.9436 6: 0.9436 7: 0.9436 8: 0.9436 9: 0.9436 10: 0.9436 11: 0.9436 12: 0.9436 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1463, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7201523745775655:.4 CMC: 1: 0.9366 2: 0.9424 3: 0.943 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1464, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7203314197633764:.4 CMC: 1: 0.9367 2: 0.9424 3: 0.9431 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1465, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7202971072613965:.4 CMC: 1: 0.9367 2: 0.9425 3: 0.9431 4: 0.9437 5: 0.9437 6: 0.9437 7: 0.9437 8: 0.9437 9: 0.9437 10: 0.9437 11: 0.9437 12: 0.9437 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1466, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7201030942003136:.4 CMC: 1: 0.9367 2: 0.9425 3: 0.9431 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 21, 24, 26] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.4090909090909091, 0.4, 0.4074074074074074] max_possible 12 AP 0.768 nr: adding to 0 name_rank_counts [1467, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 88] At the end mAP 0.7201337062259678:.4 CMC: 1: 0.9368 2: 0.9425 3: 0.9432 4: 0.9438 5: 0.9438 6: 0.9438 7: 0.9438 8: 0.9438 9: 0.9438 10: 0.9438 11: 0.9438 12: 0.9438 13: 1.0 ======================================== annot_ranks [] num_for_qnid 36 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1467, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 89] At the end mAP 0.7196741441926392:.4 CMC: 1: 0.9362 2: 0.9419 3: 0.9426 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1468, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 89] At the end mAP 0.719427753369387:.4 CMC: 1: 0.9362 2: 0.942 3: 0.9426 4: 0.9432 5: 0.9432 6: 0.9432 7: 0.9432 8: 0.9432 9: 0.9432 10: 0.9432 11: 0.9432 12: 0.9432 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 4 name_ranks [0] precisions [1.0] max_possible 4 AP 0.25 nr: adding to 0 name_rank_counts [1469, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 89] At the end mAP 0.7191285642340337:.4 CMC: 1: 0.9363 2: 0.942 3: 0.9426 4: 0.9433 5: 0.9433 6: 0.9433 7: 0.9433 8: 0.9433 9: 0.9433 10: 0.9433 11: 0.9433 12: 0.9433 13: 1.0 ======================================== annot_ranks [] num_for_qnid 4 name_ranks [] precisions [] max_possible 4 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1469, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 90] At the end mAP 0.7186705205625471:.4 CMC: 1: 0.9357 2: 0.9414 3: 0.942 4: 0.9427 5: 0.9427 6: 0.9427 7: 0.9427 8: 0.9427 9: 0.9427 10: 0.9427 11: 0.9427 12: 0.9427 13: 1.0 ======================================== annot_ranks [] num_for_qnid 4 name_ranks [] precisions [] max_possible 4 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1469, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 91] At the end mAP 0.718213060014767:.4 CMC: 1: 0.9351 2: 0.9408 3: 0.9414 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 7] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.875] max_possible 12 AP 0.5729 nr: adding to 0 name_rank_counts [1470, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 91] At the end mAP 0.7181206322836295:.4 CMC: 1: 0.9351 2: 0.9408 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [] num_for_qnid 3 name_ranks [] precisions [] max_possible 3 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1470, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7176641029560494:.4 CMC: 1: 0.9345 2: 0.9402 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1, 2, 13] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.2857142857142857] max_possible 8 AP 0.4107 nr: adding to 0 name_rank_counts [1471, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7174690903656797:.4 CMC: 1: 0.9346 2: 0.9403 3: 0.9409 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [1472, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7173310147527492:.4 CMC: 1: 0.9346 2: 0.9403 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 3 name_ranks [0] precisions [1.0, 1.0] max_possible 3 AP 0.6667 nr: adding to 0 name_rank_counts [1473, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7172988673237605:.4 CMC: 1: 0.9346 2: 0.9404 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 6 name_ranks [0] precisions [1.0] max_possible 6 AP 0.1667 nr: adding to 0 name_rank_counts [1474, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7169497029606299:.4 CMC: 1: 0.9347 2: 0.9404 3: 0.941 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 4 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 4 AP 0.4167 nr: adding to 0 name_rank_counts [1475, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7167594095282509:.4 CMC: 1: 0.9347 2: 0.9404 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1476, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7165165811076082:.4 CMC: 1: 0.9348 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1477, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.716274060064713:.4 CMC: 1: 0.9348 2: 0.9405 3: 0.9411 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 8 name_ranks [0] precisions [1.0] max_possible 8 AP 0.125 nr: adding to 0 name_rank_counts [1478, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7159000726769427:.4 CMC: 1: 0.9349 2: 0.9405 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 43 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1479, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7159216276246817:.4 CMC: 1: 0.9349 2: 0.9406 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9, 14] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6, 0.4666666666666667] max_possible 12 AP 0.5056 nr: adding to 0 name_rank_counts [1480, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7157887368653203:.4 CMC: 1: 0.9349 2: 0.9406 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 8 name_ranks [0] precisions [1.0] max_possible 8 AP 0.125 nr: adding to 0 name_rank_counts [1481, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7154157641779054:.4 CMC: 1: 0.935 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 4] num_for_qnid 8 name_ranks [0] precisions [1.0, 0.4] max_possible 8 AP 0.175 nr: adding to 0 name_rank_counts [1482, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.715074807859812:.4 CMC: 1: 0.935 2: 0.9407 3: 0.9413 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 8 AP 0.2083 nr: adding to 0 name_rank_counts [1483, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7147552987333767:.4 CMC: 1: 0.9351 2: 0.9407 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1484, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.714514957230289:.4 CMC: 1: 0.9351 2: 0.9408 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 4 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 4 AP 0.4167 nr: adding to 0 name_rank_counts [1485, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 92] At the end mAP 0.7143273953344682:.4 CMC: 1: 0.9351 2: 0.9408 3: 0.9414 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [] num_for_qnid 6 name_ranks [] precisions [] max_possible 6 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1485, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7138778500888203:.4 CMC: 1: 0.9346 2: 0.9402 3: 0.9408 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6] max_possible 12 AP 0.4667 nr: adding to 0 name_rank_counts [1486, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7137223713571084:.4 CMC: 1: 0.9346 2: 0.9403 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 21] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.3181818181818182] max_possible 12 AP 0.5265 nr: adding to 0 name_rank_counts [1487, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7136047049712868:.4 CMC: 1: 0.9346 2: 0.9403 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1488, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7133658410443786:.4 CMC: 1: 0.9347 2: 0.9403 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 6] num_for_qnid 6 name_ranks [0] precisions [1.0, 0.2857142857142857] max_possible 6 AP 0.2143 nr: adding to 0 name_rank_counts [1489, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7130525452962563:.4 CMC: 1: 0.9347 2: 0.9404 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [1490, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7128404671624443:.4 CMC: 1: 0.9348 2: 0.9404 3: 0.941 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 2 name_ranks [0] precisions [1.0, 1.0] max_possible 2 AP 1.0 nr: adding to 0 name_rank_counts [1491, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7130205044871074:.4 CMC: 1: 0.9348 2: 0.9404 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.5 nr: adding to 0 name_rank_counts [1492, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 93] At the end mAP 0.7128870329930679:.4 CMC: 1: 0.9348 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [] num_for_qnid 6 name_ranks [] precisions [] max_possible 6 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1492, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 94] At the end mAP 0.7124406416136108:.4 CMC: 1: 0.9343 2: 0.9399 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 8] num_for_qnid 17 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666] max_possible 12 AP 0.4722 nr: adding to 0 name_rank_counts [1493, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 94] At the end mAP 0.7122903171959691:.4 CMC: 1: 0.9343 2: 0.9399 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0] max_possible 8 AP 0.25 nr: adding to 0 name_rank_counts [1494, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 94] At the end mAP 0.7120012050526321:.4 CMC: 1: 0.9343 2: 0.94 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1494, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7115562042994742:.4 CMC: 1: 0.9337 2: 0.9394 3: 0.94 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [1495, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7114240642593121:.4 CMC: 1: 0.9338 2: 0.9394 3: 0.94 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [1496, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7112140617223213:.4 CMC: 1: 0.9338 2: 0.9395 3: 0.9401 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 6 name_ranks [0] precisions [1.0] max_possible 6 AP 0.1667 nr: adding to 0 name_rank_counts [1497, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.710874356547614:.4 CMC: 1: 0.9339 2: 0.9395 3: 0.9401 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0] max_possible 8 AP 0.25 nr: adding to 0 name_rank_counts [1498, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7105870283951529:.4 CMC: 1: 0.9339 2: 0.9395 3: 0.9401 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 10] num_for_qnid 8 name_ranks [0] precisions [1.0, 0.18181818181818182] max_possible 8 AP 0.1477 nr: adding to 0 name_rank_counts [1499, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7102363369585997:.4 CMC: 1: 0.934 2: 0.9396 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 6 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 6 AP 0.2778 nr: adding to 0 name_rank_counts [1500, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7099670601471546:.4 CMC: 1: 0.934 2: 0.9396 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1501, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7097326894397409:.4 CMC: 1: 0.934 2: 0.9396 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [1502, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 95] At the end mAP 0.7096022586627261:.4 CMC: 1: 0.9341 2: 0.9397 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [] num_for_qnid 1 name_ranks [] precisions [] max_possible 1 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1502, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7091612379923329:.4 CMC: 1: 0.9335 2: 0.9391 3: 0.9397 4: 0.9403 5: 0.9403 6: 0.9403 7: 0.9403 8: 0.9403 9: 0.9403 10: 0.9403 11: 0.9403 12: 0.9403 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1503, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7089278045111783:.4 CMC: 1: 0.9335 2: 0.9391 3: 0.9398 4: 0.9404 5: 0.9404 6: 0.9404 7: 0.9404 8: 0.9404 9: 0.9404 10: 0.9404 11: 0.9404 12: 0.9404 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666] max_possible 8 AP 0.4583 nr: adding to 0 name_rank_counts [1504, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.708772252387542:.4 CMC: 1: 0.9336 2: 0.9392 3: 0.9398 4: 0.9404 5: 0.9404 6: 0.9404 7: 0.9404 8: 0.9404 9: 0.9404 10: 0.9404 11: 0.9404 12: 0.9404 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 8 AP 0.2083 nr: adding to 0 name_rank_counts [1505, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7084618064079798:.4 CMC: 1: 0.9336 2: 0.9392 3: 0.9398 4: 0.9404 5: 0.9404 6: 0.9404 7: 0.9404 8: 0.9404 9: 0.9404 10: 0.9404 11: 0.9404 12: 0.9404 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [1506, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7082550724920419:.4 CMC: 1: 0.9337 2: 0.9392 3: 0.9399 4: 0.9405 5: 0.9405 6: 0.9405 7: 0.9405 8: 0.9405 9: 0.9405 10: 0.9405 11: 0.9405 12: 0.9405 13: 1.0 ======================================== annot_ranks [0, 1, 22] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 0.13043478260869565] max_possible 8 AP 0.2663 nr: adding to 0 name_rank_counts [1507, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7079812492425586:.4 CMC: 1: 0.9337 2: 0.9393 3: 0.9399 4: 0.9405 5: 0.9405 6: 0.9405 7: 0.9405 8: 0.9405 9: 0.9405 10: 0.9405 11: 0.9405 12: 0.9405 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1508, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7077492691088687:.4 CMC: 1: 0.9337 2: 0.9393 3: 0.9399 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1509, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7075175760793047:.4 CMC: 1: 0.9338 2: 0.9394 3: 0.94 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 2 name_ranks [0] precisions [1.0] max_possible 2 AP 0.5 nr: adding to 0 name_rank_counts [1510, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7073892411528486:.4 CMC: 1: 0.9338 2: 0.9394 3: 0.94 4: 0.9406 5: 0.9406 6: 0.9406 7: 0.9406 8: 0.9406 9: 0.9406 10: 0.9406 11: 0.9406 12: 0.9406 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 8 name_ranks [0] precisions [1.0] max_possible 8 AP 0.125 nr: adding to 0 name_rank_counts [1511, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7070292972460793:.4 CMC: 1: 0.9339 2: 0.9394 3: 0.94 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1512, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7067984782442801:.4 CMC: 1: 0.9339 2: 0.9395 3: 0.9401 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 8 name_ranks [0] precisions [1.0] max_possible 8 AP 0.125 nr: adding to 0 name_rank_counts [1513, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7064393433811664:.4 CMC: 1: 0.934 2: 0.9395 3: 0.9401 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 31] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.15625] max_possible 8 AP 0.5195 nr: adding to 0 name_rank_counts [1514, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7063240391903082:.4 CMC: 1: 0.934 2: 0.9395 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 6 name_ranks [0] precisions [1.0, 1.0] max_possible 6 AP 0.3333 nr: adding to 0 name_rank_counts [1515, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7060940819117282:.4 CMC: 1: 0.934 2: 0.9396 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 2 name_ranks [0] precisions [1.0, 1.0] max_possible 2 AP 1.0 nr: adding to 0 name_rank_counts [1516, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7062751699697:.4 CMC: 1: 0.9341 2: 0.9396 3: 0.9402 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1517, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7060968396105233:.4 CMC: 1: 0.9341 2: 0.9397 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1518, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7060212928374295:.4 CMC: 1: 0.9342 2: 0.9397 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1, 4] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 0.6] max_possible 12 AP 0.2167 nr: adding to 0 name_rank_counts [1519, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7057203367327736:.4 CMC: 1: 0.9342 2: 0.9397 3: 0.9403 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [1520, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7055170667040502:.4 CMC: 1: 0.9342 2: 0.9398 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.5 nr: adding to 0 name_rank_counts [1521, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7053908277195883:.4 CMC: 1: 0.9343 2: 0.9398 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 26, 54, 57] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.2962962962962963, 0.16363636363636364, 0.1724137931034483] max_possible 12 AP 0.636 nr: adding to 0 name_rank_counts [1522, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7053482482495862:.4 CMC: 1: 0.9343 2: 0.9398 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 9, 10, 66] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6, 0.6363636363636364, 0.11940298507462686] max_possible 12 AP 0.5296 nr: adding to 0 name_rank_counts [1523, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7052404562067663:.4 CMC: 1: 0.9344 2: 0.9399 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 36, 60, 69, 76, 81, 82] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.16216216216216217, 0.11475409836065574, 0.11428571428571428, 0.11688311688311688, 0.12195121951219512, 0.13253012048192772] max_possible 12 AP 0.4802 nr: adding to 0 name_rank_counts [1524, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7051024877292068:.4 CMC: 1: 0.9344 2: 0.9399 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 40, 57] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.1951219512195122, 0.15517241379310345] max_possible 12 AP 0.6125 nr: adding to 0 name_rank_counts [1525, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7050457610396776:.4 CMC: 1: 0.9344 2: 0.94 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 75] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.10526315789473684] max_possible 12 AP 0.5921 nr: adding to 0 name_rank_counts [1526, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7049765996815137:.4 CMC: 1: 0.9345 2: 0.94 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 34] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.22857142857142856] max_possible 12 AP 0.6024 nr: adding to 0 name_rank_counts [1527, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7049138116476701:.4 CMC: 1: 0.9345 2: 0.94 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [1528, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.704727320019751:.4 CMC: 1: 0.9346 2: 0.9401 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 16, 51, 56] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.47058823529411764, 0.17307692307692307, 0.17543859649122806] max_possible 12 AP 0.6516 nr: adding to 0 name_rank_counts [1529, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7046948412052961:.4 CMC: 1: 0.9346 2: 0.9401 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 47] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.125] max_possible 12 AP 0.4271 nr: adding to 0 name_rank_counts [1530, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7045252556781906:.4 CMC: 1: 0.9346 2: 0.9401 3: 0.9407 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.5 nr: adding to 0 name_rank_counts [1531, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7044003928847363:.4 CMC: 1: 0.9347 2: 0.9402 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [1532, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7042756824558866:.4 CMC: 1: 0.9347 2: 0.9402 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 7 AP 0.3929 nr: adding to 0 name_rank_counts [1533, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7040857931024727:.4 CMC: 1: 0.9348 2: 0.9402 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 5, 8] num_for_qnid 7 name_ranks [0] precisions [1.0, 0.3333333333333333, 0.3333333333333333] max_possible 7 AP 0.2381 nr: adding to 0 name_rank_counts [1534, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.703801825671024:.4 CMC: 1: 0.9348 2: 0.9403 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 7 AP 0.5714 nr: adding to 0 name_rank_counts [1535, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7037212085856145:.4 CMC: 1: 0.9348 2: 0.9403 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0] max_possible 7 AP 0.2857 nr: adding to 0 name_rank_counts [1536, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7034667917122904:.4 CMC: 1: 0.9349 2: 0.9404 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [1537, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.703343028456991:.4 CMC: 1: 0.9349 2: 0.9404 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [1538, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7031586254001783:.4 CMC: 1: 0.935 2: 0.9404 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 11] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.4166666666666667] max_possible 9 AP 0.4907 nr: adding to 0 name_rank_counts [1539, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7030295744374446:.4 CMC: 1: 0.935 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 12 AP 0.2292 nr: adding to 0 name_rank_counts [1540, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7027418616822712:.4 CMC: 1: 0.935 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1541, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7025177060218653:.4 CMC: 1: 0.9351 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 4, 21, 23] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.8, 0.22727272727272727, 0.25] max_possible 12 AP 0.3564 nr: adding to 0 name_rank_counts [1542, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.702307834395375:.4 CMC: 1: 0.9351 2: 0.9406 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 21 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1543, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7019326983341254:.4 CMC: 1: 0.9352 2: 0.9406 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 13, 23, 27] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.2857142857142857, 0.20833333333333334, 0.21428571428571427] max_possible 12 AP 0.309 nr: adding to 0 name_rank_counts [1544, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.70169471837013:.4 CMC: 1: 0.9352 2: 0.9406 3: 0.9412 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 11] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.4166666666666667] max_possible 12 AP 0.3681 nr: adding to 0 name_rank_counts [1545, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7014927576178208:.4 CMC: 1: 0.9352 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1546, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7012700356430572:.4 CMC: 1: 0.9353 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 53] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.09259259259259259] max_possible 12 AP 0.341 nr: adding to 0 name_rank_counts [1547, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7010522480657131:.4 CMC: 1: 0.9353 2: 0.9407 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 18, 19] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.21052631578947367, 0.25] max_possible 12 AP 0.2884 nr: adding to 0 name_rank_counts [1548, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7008028975792581:.4 CMC: 1: 0.9353 2: 0.9408 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 5, 7, 17] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.6666666666666666, 0.625, 0.3333333333333333] max_possible 12 AP 0.3854 nr: adding to 0 name_rank_counts [1549, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7006124469567263:.4 CMC: 1: 0.9354 2: 0.9408 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.3333 nr: adding to 0 name_rank_counts [1550, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7003907939008279:.4 CMC: 1: 0.9354 2: 0.9409 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 21 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1551, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.7000186241417402:.4 CMC: 1: 0.9355 2: 0.9409 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1552, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.6998980583646807:.4 CMC: 1: 0.9355 2: 0.9409 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1553, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.6995768346347421:.4 CMC: 1: 0.9355 2: 0.941 3: 0.9416 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1554, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 96] At the end mAP 0.6993061682683154:.4 CMC: 1: 0.9356 2: 0.941 3: 0.9416 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [] num_for_qnid 21 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1554, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6988854064342189:.4 CMC: 1: 0.935 2: 0.9404 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1, 17, 18] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 0.16666666666666666, 0.21052631578947367] max_possible 12 AP 0.1981 nr: adding to 0 name_rank_counts [1555, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.698584272344484:.4 CMC: 1: 0.9351 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1556, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6984649308346615:.4 CMC: 1: 0.9351 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1, 3] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 0.75] max_possible 12 AP 0.2292 nr: adding to 0 name_rank_counts [1557, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6981830700153413:.4 CMC: 1: 0.9351 2: 0.9405 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 2] num_for_qnid 21 name_ranks [0] precisions [1.0, 0.6666666666666666] max_possible 12 AP 0.1389 nr: adding to 0 name_rank_counts [1558, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6978473592223483:.4 CMC: 1: 0.9352 2: 0.9406 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 71] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.06944444444444445] max_possible 8 AP 0.5087 nr: adding to 0 name_rank_counts [1559, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6977338818356255:.4 CMC: 1: 0.9352 2: 0.9406 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 65, 68] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.07575757575757576, 0.08695652173913043] max_possible 9 AP 0.4625 nr: adding to 0 name_rank_counts [1560, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6975928685902868:.4 CMC: 1: 0.9353 2: 0.9406 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [1561, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6974145624976623:.4 CMC: 1: 0.9353 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [1562, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6972214998853883:.4 CMC: 1: 0.9353 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 8 AP 0.5 nr: adding to 0 name_rank_counts [1563, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6971034738531409:.4 CMC: 1: 0.9354 2: 0.9408 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 32] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.15151515151515152] max_possible 9 AP 0.4613 nr: adding to 0 name_rank_counts [1564, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6969624307834198:.4 CMC: 1: 0.9354 2: 0.9408 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 14, 44] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.3333333333333333, 0.13333333333333333] max_possible 9 AP 0.4963 nr: adding to 0 name_rank_counts [1565, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6968424868895243:.4 CMC: 1: 0.9354 2: 0.9408 3: 0.9414 4: 0.942 5: 0.942 6: 0.942 7: 0.942 8: 0.942 9: 0.942 10: 0.942 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [1566, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6967248987850503:.4 CMC: 1: 0.9355 2: 0.9409 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 42] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 0.06976744186046512] max_possible 7 AP 0.2957 nr: adding to 0 name_rank_counts [1567, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6964854696294313:.4 CMC: 1: 0.9355 2: 0.9409 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 26] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0, 0.1111111111111111] max_possible 7 AP 0.3016 nr: adding to 0 name_rank_counts [1568, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.696249850197425:.4 CMC: 1: 0.9356 2: 0.9409 3: 0.9415 4: 0.9421 5: 0.9421 6: 0.9421 7: 0.9421 8: 0.9421 9: 0.9421 10: 0.9421 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [1569, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6961328258383329:.4 CMC: 1: 0.9356 2: 0.941 3: 0.9416 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [1570, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6959563462043411:.4 CMC: 1: 0.9356 2: 0.941 3: 0.9416 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.4444 nr: adding to 0 name_rank_counts [1571, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.695806547573156:.4 CMC: 1: 0.9357 2: 0.941 3: 0.9416 4: 0.9422 5: 0.9422 6: 0.9422 7: 0.9422 8: 0.9422 9: 0.9422 10: 0.9422 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 10, 35, 61] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 0.36363636363636365, 0.1388888888888889, 0.0967741935483871] max_possible 9 AP 0.3999 nr: adding to 0 name_rank_counts [1572, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.695630425914288:.4 CMC: 1: 0.9357 2: 0.9411 3: 0.9417 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 20, 29, 81] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.23809523809523808, 0.2, 0.08536585365853659] max_possible 9 AP 0.5026 nr: adding to 0 name_rank_counts [1573, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.695515599240914:.4 CMC: 1: 0.9358 2: 0.9411 3: 0.9417 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [1574, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6953993592889277:.4 CMC: 1: 0.9358 2: 0.9411 3: 0.9417 4: 0.9423 5: 0.9423 6: 0.9423 7: 0.9423 8: 0.9423 9: 0.9423 10: 0.9423 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 1 name_ranks [0] precisions [1.0] max_possible 1 AP 1.0 nr: adding to 0 name_rank_counts [1575, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.695580346003551:.4 CMC: 1: 0.9358 2: 0.9412 3: 0.9418 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 61] num_for_qnid 210 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1576, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 97] At the end mAP 0.6957611177695822:.4 CMC: 1: 0.9359 2: 0.9412 3: 0.9418 4: 0.9424 5: 0.9424 6: 0.9424 7: 0.9424 8: 0.9424 9: 0.9424 10: 0.9424 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [] num_for_qnid 3 name_ranks [] precisions [] max_possible 3 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1576, 9, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 98] At the end mAP 0.6953482031596299:.4 CMC: 1: 0.9353 2: 0.9407 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [1] num_for_qnid 3 name_ranks [1] precisions [0.5] max_possible 3 AP 0.1667 nr: adding to 1 name_rank_counts [1576, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 98] At the end mAP 0.695034631667048:.4 CMC: 1: 0.9348 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 3 name_ranks [0] precisions [1.0] max_possible 3 AP 0.3333 nr: adding to 0 name_rank_counts [1577, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 98] At the end mAP 0.6948202266295058:.4 CMC: 1: 0.9348 2: 0.9407 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 21 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1578, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 98] At the end mAP 0.6944579713609654:.4 CMC: 1: 0.9348 2: 0.9408 3: 0.9414 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [49] num_for_qnid 3 name_ranks [24] precisions [0.02] max_possible 3 AP 0.006667 nr: adding to MAX_RANK name_rank_counts [1578, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 99] At the end mAP 0.6940507533001637:.4 CMC: 1: 0.9343 2: 0.9402 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 21 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1579, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 99] At the end mAP 0.6937880013751341:.4 CMC: 1: 0.9343 2: 0.9402 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 1 name_ranks [0] precisions [1.0] max_possible 1 AP 1.0 nr: adding to 0 name_rank_counts [1580, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 99] At the end mAP 0.6939690847569346:.4 CMC: 1: 0.9344 2: 0.9403 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1580, 10, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6935589375437213:.4 CMC: 1: 0.9338 2: 0.9397 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [1, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [1] precisions [0.5, 0.5, 0.6, 0.6666666666666666, 0.7142857142857143, 0.75, 0.7777777777777778, 0.8] max_possible 12 AP 0.4424 nr: adding to 1 name_rank_counts [1580, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6934105826957299:.4 CMC: 1: 0.9333 2: 0.9398 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1581, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6934931817220802:.4 CMC: 1: 0.9333 2: 0.9398 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9] max_possible 12 AP 0.7417 nr: adding to 0 name_rank_counts [1582, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6935216026571507:.4 CMC: 1: 0.9333 2: 0.9398 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1583, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6934074979386029:.4 CMC: 1: 0.9334 2: 0.9399 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1584, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6930479963684172:.4 CMC: 1: 0.9334 2: 0.9399 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.6667 nr: adding to 0 name_rank_counts [1585, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6930324596607012:.4 CMC: 1: 0.9335 2: 0.9399 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1586, 11, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6932131350817365:.4 CMC: 1: 0.9335 2: 0.94 3: 0.9406 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [6, 8] num_for_qnid 2 name_ranks [2] precisions [0.14285714285714285, 0.2222222222222222] max_possible 2 AP 0.1825 nr: adding to 2 name_rank_counts [1586, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6929127389331825:.4 CMC: 1: 0.9329 2: 0.9394 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1587, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6926033644051011:.4 CMC: 1: 0.933 2: 0.9394 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.9167 nr: adding to 0 name_rank_counts [1588, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.6927350114687095:.4 CMC: 1: 0.933 2: 0.9395 3: 0.9407 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 2 name_ranks [0] precisions [1.0, 1.0] max_possible 2 AP 1.0 nr: adding to 0 name_rank_counts [1589, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 100] At the end mAP 0.692915437181294:.4 CMC: 1: 0.9331 2: 0.9395 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [] num_for_qnid 148 name_ranks [] precisions [] max_possible 12 AP 0.0 nr: adding to MAX_RANK name_rank_counts [1589, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6925087966665162:.4 CMC: 1: 0.9325 2: 0.939 3: 0.9401 4: 0.9407 5: 0.9407 6: 0.9407 7: 0.9407 8: 0.9407 9: 0.9407 10: 0.9407 11: 0.9407 12: 0.9407 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9166666666666666, 0.9230769230769231] max_possible 12 AP 0.9866 nr: adding to 0 name_rank_counts [1590, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6926813107442163:.4 CMC: 1: 0.9326 2: 0.939 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 36 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1591, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6927149090380358:.4 CMC: 1: 0.9326 2: 0.939 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1592, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.692748467966543:.4 CMC: 1: 0.9326 2: 0.9391 3: 0.9402 4: 0.9408 5: 0.9408 6: 0.9408 7: 0.9408 8: 0.9408 9: 0.9408 10: 0.9408 11: 0.9408 12: 0.9408 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1593, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6928307776066874:.4 CMC: 1: 0.9327 2: 0.9391 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 2 name_ranks [0] precisions [1.0, 1.0] max_possible 2 AP 1.0 nr: adding to 0 name_rank_counts [1594, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6930105138398024:.4 CMC: 1: 0.9327 2: 0.9391 3: 0.9403 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1595, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6931900398551007:.4 CMC: 1: 0.9327 2: 0.9392 3: 0.9404 4: 0.9409 5: 0.9409 6: 0.9409 7: 0.9409 8: 0.9409 9: 0.9409 10: 0.9409 11: 0.9409 12: 0.9409 13: 1.0 ======================================== annot_ranks [0, 2, 3] num_for_qnid 148 name_ranks [0] precisions [1.0, 0.6666666666666666, 0.75] max_possible 12 AP 0.2014 nr: adding to 0 name_rank_counts [1596, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6929026049334372:.4 CMC: 1: 0.9328 2: 0.9392 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5 nr: adding to 0 name_rank_counts [1597, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6927899281782192:.4 CMC: 1: 0.9328 2: 0.9393 3: 0.9404 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 119 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1598, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6924341449938379:.4 CMC: 1: 0.9329 2: 0.9393 3: 0.9405 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.941 12: 0.941 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15, 16, 17] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.9090909090909091, 0.8461538461538461, 0.8571428571428571] max_possible 12 AP 0.9677 nr: adding to 0 name_rank_counts [1599, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6925947429067348:.4 CMC: 1: 0.9329 2: 0.9393 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1600, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6923366701703461:.4 CMC: 1: 0.9329 2: 0.9394 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1601, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6920788982180324:.4 CMC: 1: 0.933 2: 0.9394 3: 0.9406 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9411 12: 0.9411 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 17] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1602, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6922582349109747:.4 CMC: 1: 0.933 2: 0.9394 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1603, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6919523026826601:.4 CMC: 1: 0.9331 2: 0.9395 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1604, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6915982485992691:.4 CMC: 1: 0.9331 2: 0.9395 3: 0.9407 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9412 12: 0.9412 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1605, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6914384046562849:.4 CMC: 1: 0.9331 2: 0.9395 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 148 name_ranks [0] precisions [1.0] max_possible 12 AP 0.08333 nr: adding to 0 name_rank_counts [1606, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6910850606287876:.4 CMC: 1: 0.9332 2: 0.9396 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.75 nr: adding to 0 name_rank_counts [1607, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6911192737178534:.4 CMC: 1: 0.9332 2: 0.9396 3: 0.9408 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9413 12: 0.9413 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 52, 53] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1608, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6912985428567286:.4 CMC: 1: 0.9333 2: 0.9396 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1609, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6914776040267654:.4 CMC: 1: 0.9333 2: 0.9397 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1610, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6916564575896484:.4 CMC: 1: 0.9333 2: 0.9397 3: 0.9409 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.9414 12: 0.9414 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 148 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1611, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6915936979579819:.4 CMC: 1: 0.9334 2: 0.9397 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 1 name_ranks [0] precisions [1.0] max_possible 1 AP 1.0 nr: adding to 0 name_rank_counts [1612, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6917722771716716:.4 CMC: 1: 0.9334 2: 0.9398 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9415 12: 0.9415 13: 1.0 ======================================== annot_ranks [0] num_for_qnid 1 name_ranks [0] precisions [1.0] max_possible 1 AP 1.0 nr: adding to 0 name_rank_counts [1613, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.6919506496964565:.4 CMC: 1: 0.9334 2: 0.9398 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0] max_possible 5 AP 0.4 nr: adding to 0 name_rank_counts [1614, 11, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 101] At the end mAP 0.691781794491311:.4 CMC: 1: 0.9335 2: 0.9398 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [17, 36, 42] num_for_qnid 5 name_ranks [10] precisions [0.05555555555555555, 0.05405405405405406, 0.06976744186046512] max_possible 5 AP 0.03588 nr: adding to 10 name_rank_counts [1614, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6914026578530468:.4 CMC: 1: 0.9329 2: 0.9393 3: 0.9405 4: 0.941 5: 0.941 6: 0.941 7: 0.941 8: 0.941 9: 0.941 10: 0.941 11: 0.9416 12: 0.9416 13: 1.0 ======================================== annot_ranks [0, 11] num_for_qnid 5 name_ranks [0] precisions [1.0, 0.16666666666666666] max_possible 5 AP 0.2333 nr: adding to 0 name_rank_counts [1615, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6911380308602566:.4 CMC: 1: 0.933 2: 0.9393 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0] max_possible 5 AP 0.4 nr: adding to 0 name_rank_counts [1616, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6909699373089517:.4 CMC: 1: 0.933 2: 0.9394 3: 0.9405 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 20] num_for_qnid 5 name_ranks [0] precisions [1.0, 0.09523809523809523] max_possible 5 AP 0.219 nr: adding to 0 name_rank_counts [1617, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6906976220647155:.4 CMC: 1: 0.9331 2: 0.9394 3: 0.9406 4: 0.9411 5: 0.9411 6: 0.9411 7: 0.9411 8: 0.9411 9: 0.9411 10: 0.9411 11: 0.9417 12: 0.9417 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 5 name_ranks [0] precisions [1.0, 1.0] max_possible 5 AP 0.4 nr: adding to 0 name_rank_counts [1618, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6905299763772501:.4 CMC: 1: 0.9331 2: 0.9394 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 20] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1619, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6907083452669462:.4 CMC: 1: 0.9331 2: 0.9395 3: 0.9406 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20, 33] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 1.0 nr: adding to 0 name_rank_counts [1620, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6908865086625299:.4 CMC: 1: 0.9332 2: 0.9395 3: 0.9407 4: 0.9412 5: 0.9412 6: 0.9412 7: 0.9412 8: 0.9412 9: 0.9412 10: 0.9412 11: 0.9418 12: 0.9418 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.8333 nr: adding to 0 name_rank_counts [1621, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6909685160457599:.4 CMC: 1: 0.9332 2: 0.9396 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1622, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6906668463970954:.4 CMC: 1: 0.9333 2: 0.9396 3: 0.9407 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1623, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6905092844766064:.4 CMC: 1: 0.9333 2: 0.9396 3: 0.9408 4: 0.9413 5: 0.9413 6: 0.9413 7: 0.9413 8: 0.9413 9: 0.9413 10: 0.9413 11: 0.9419 12: 0.9419 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1624, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.690351903661773:.4 CMC: 1: 0.9333 2: 0.9397 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0] max_possible 12 AP 0.1667 nr: adding to 0 name_rank_counts [1625, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.690051108005831:.4 CMC: 1: 0.9334 2: 0.9397 3: 0.9408 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 119 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 12 AP 0.25 nr: adding to 0 name_rank_counts [1626, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6897984954294787:.4 CMC: 1: 0.9334 2: 0.9397 3: 0.9409 4: 0.9414 5: 0.9414 6: 0.9414 7: 0.9414 8: 0.9414 9: 0.9414 10: 0.9414 11: 0.942 12: 0.942 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.5833 nr: adding to 0 name_rank_counts [1627, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6897374138677481:.4 CMC: 1: 0.9334 2: 0.9398 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1, 24, 41, 43] num_for_qnid 15 name_ranks [0] precisions [1.0, 1.0, 0.12, 0.09523809523809523, 0.11363636363636363] max_possible 12 AP 0.1941 nr: adding to 0 name_rank_counts [1628, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6894532025476251:.4 CMC: 1: 0.9335 2: 0.9398 3: 0.9409 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0] max_possible 7 AP 0.2857 nr: adding to 0 name_rank_counts [1629, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6892218335408438:.4 CMC: 1: 0.9335 2: 0.9398 3: 0.941 4: 0.9415 5: 0.9415 6: 0.9415 7: 0.9415 8: 0.9415 9: 0.9415 10: 0.9415 11: 0.9421 12: 0.9421 13: 1.0 ======================================== annot_ranks [0, 1] num_for_qnid 7 name_ranks [0] precisions [1.0, 1.0] max_possible 7 AP 0.2857 nr: adding to 0 name_rank_counts [1630, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6889907295615616:.4 CMC: 1: 0.9336 2: 0.9399 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 8, 13] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.5555555555555556, 0.42857142857142855] max_possible 9 AP 0.5538 nr: adding to 0 name_rank_counts [1631, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6889133404130577:.4 CMC: 1: 0.9336 2: 0.9399 3: 0.941 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 22, 64] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 0.21739130434782608, 0.09230769230769231] max_possible 9 AP 0.4789 nr: adding to 0 name_rank_counts [1632, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6887931699918104:.4 CMC: 1: 0.9336 2: 0.9399 3: 0.9411 4: 0.9416 5: 0.9416 6: 0.9416 7: 0.9416 8: 0.9416 9: 0.9416 10: 0.9416 11: 0.9422 12: 0.9422 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 61] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.12903225806451613] max_possible 12 AP 0.5941 nr: adding to 0 name_rank_counts [1633, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6887390206787822:.4 CMC: 1: 0.9337 2: 0.94 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 8, 47, 51, 56, 77] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 0.6666666666666666, 0.14583333333333334, 0.15384615384615385, 0.15789473684210525, 0.1282051282051282] max_possible 12 AP 0.521 nr: adding to 0 name_rank_counts [1634, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6886431910488178:.4 CMC: 1: 0.9337 2: 0.94 3: 0.9411 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 12 AP 0.4167 nr: adding to 0 name_rank_counts [1635, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6884878646499702:.4 CMC: 1: 0.9338 2: 0.94 3: 0.9412 4: 0.9417 5: 0.9417 6: 0.9417 7: 0.9417 8: 0.9417 9: 0.9417 10: 0.9417 11: 0.9423 12: 0.9423 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4, 5, 6, 50, 51] num_for_qnid 14 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.1568627450980392, 0.17307692307692307] max_possible 12 AP 0.6108 nr: adding to 0 name_rank_counts [1636, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6884435384176821:.4 CMC: 1: 0.9338 2: 0.9401 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3, 4] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.5 nr: adding to 0 name_rank_counts [1637, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6883360406775694:.4 CMC: 1: 0.9338 2: 0.9401 3: 0.9412 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2] num_for_qnid 8 name_ranks [0] precisions [1.0, 1.0, 1.0] max_possible 8 AP 0.375 nr: adding to 0 name_rank_counts [1638, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.6881573998333974:.4 CMC: 1: 0.9339 2: 0.9401 3: 0.9413 4: 0.9418 5: 0.9418 6: 0.9418 7: 0.9418 8: 0.9418 9: 0.9418 10: 0.9418 11: 0.9424 12: 0.9424 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 10 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 10 AP 0.4 nr: adding to 0 name_rank_counts [1639, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.68799320758278:.4 CMC: 1: 0.9339 2: 0.9402 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9425 12: 0.9425 13: 1.0 ======================================== annot_ranks [0, 1, 2, 3] num_for_qnid 9 name_ranks [0] precisions [1.0, 1.0, 1.0, 1.0] max_possible 9 AP 0.4444 nr: adding to 0 name_rank_counts [1640, 11, 2, 1, 0, 0, 0, 0, 0, 0, 1, 0, 101] At the end mAP 0.687854512387371:.4 CMC: 1: 0.9339 2: 0.9402 3: 0.9413 4: 0.9419 5: 0.9419 6: 0.9419 7: 0.9419 8: 0.9419 9: 0.9419 10: 0.9419 11: 0.9425 12: 0.9425 13: 1.0