=========user config========== {'adjust_lr': True, 'best_rank': -inf, 'dataset': 'market1501', 'datatype': 'person', 'eval_step': 30, 'evaluate': False, 'gamma': 0.1, 'last_stride': 1, 'loss': 'triplet', 'lr': 0.0001, 'margin': None, 'max_epoch': 400, 'mgn_model': None, 'mgn_part': 'all', 'mode': 'retrieval', 'model_name': 'bfe', 'momentum': 0.9, 'num_gpu': 1, 'num_instances': 4, 'optim': 'adam', 'pretrained_model': None, 'print_freq': 30, 'random_crop': False, 're_ranking': False, 'save_dir': './pytorch-ckpt/market-bfe-cutout', 'savefig': None, 'seed': 0, 'start_epoch': 0, 'test_batch': 128, 'train_batch': 128, 'weight_decay': 0.0005, 'workers': 10} ============end=============== currently using GPU initializing dataset market1501 => Market1501 loaded Dataset statistics: ------------------------------ subset | # ids | # images ------------------------------ train | 751 | 12936 query | 750 | 3368 gallery | 751 | 15913 ------------------------------ total | 1501 | 32217 ------------------------------ initializing model ... model size: 32.27600M Epoch: [0] Epoch Time 27.500 s Loss 20.708 Lr 1.00e-04 Epoch: [1] Epoch Time 8.908 s Loss 18.981 Lr 1.00e-04 Epoch: [2] Epoch Time 8.664 s Loss 17.978 Lr 1.00e-04 Epoch: [3] Epoch Time 8.854 s Loss 17.238 Lr 1.00e-04 Epoch: [4] Epoch Time 9.102 s Loss 16.538 Lr 2.00e-04 Epoch: [5] Epoch Time 8.861 s Loss 15.702 Lr 2.00e-04 Epoch: [6] Epoch Time 8.757 s Loss 14.502 Lr 2.00e-04 Epoch: [7] Epoch Time 8.702 s Loss 13.677 Lr 2.00e-04 Epoch: [8] Epoch Time 9.294 s Loss 12.745 Lr 2.00e-04 Epoch: [9] Epoch Time 8.863 s Loss 12.189 Lr 3.00e-04 Epoch: [10] Epoch Time 8.781 s Loss 11.524 Lr 3.00e-04 Epoch: [11] Epoch Time 8.701 s Loss 10.699 Lr 3.00e-04 Epoch: [12] Epoch Time 9.051 s Loss 9.943 Lr 3.00e-04 Epoch: [13] Epoch Time 8.655 s Loss 9.277 Lr 3.00e-04 Epoch: [14] Epoch Time 8.711 s Loss 8.785 Lr 4.00e-04 Epoch: [15] Epoch Time 9.019 s Loss 8.312 Lr 4.00e-04 Epoch: [16] Epoch Time 8.708 s Loss 7.813 Lr 4.00e-04 Epoch: [17] Epoch Time 8.722 s Loss 7.363 Lr 4.00e-04 Epoch: [18] Epoch Time 8.684 s Loss 6.862 Lr 4.00e-04 Epoch: [19] Epoch Time 8.827 s Loss 6.611 Lr 5.00e-04 Epoch: [20] Epoch Time 8.859 s Loss 6.239 Lr 5.00e-04 Epoch: [21] Epoch Time 8.742 s Loss 5.895 Lr 5.00e-04 Epoch: [22] Epoch Time 9.207 s Loss 5.513 Lr 5.00e-04 Epoch: [23] Epoch Time 8.816 s Loss 5.215 Lr 5.00e-04 Epoch: [24] Epoch Time 8.721 s Loss 5.064 Lr 6.00e-04 Epoch: [25] Epoch Time 8.732 s Loss 4.740 Lr 6.00e-04 Epoch: [26] Epoch Time 8.793 s Loss 4.619 Lr 6.00e-04 Epoch: [27] Epoch Time 8.682 s Loss 4.473 Lr 6.00e-04 Epoch: [28] Epoch Time 8.635 s Loss 4.209 Lr 6.00e-04 Epoch: [29] Epoch Time 8.721 s Loss 4.160 Lr 7.00e-04 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 70.8% CMC curve Rank-1 : 87.0% Rank-2 : 91.2% Rank-4 : 94.4% Rank-5 : 95.0% Rank-8 : 96.4% Rank-10 : 96.8% Rank-16 : 97.8% Rank-20 : 98.0% ------------------ Epoch: [30] Epoch Time 9.322 s Loss 4.027 Lr 7.00e-04 Epoch: [31] Epoch Time 8.904 s Loss 4.014 Lr 7.00e-04 Epoch: [32] Epoch Time 8.846 s Loss 3.917 Lr 7.00e-04 Epoch: [33] Epoch Time 8.725 s Loss 3.796 Lr 7.00e-04 Epoch: [34] Epoch Time 8.961 s Loss 3.700 Lr 8.00e-04 Epoch: [35] Epoch Time 8.695 s Loss 3.699 Lr 8.00e-04 Epoch: [36] Epoch Time 8.889 s Loss 3.518 Lr 8.00e-04 Epoch: [37] Epoch Time 9.259 s Loss 3.424 Lr 8.00e-04 Epoch: [38] Epoch Time 9.245 s Loss 3.356 Lr 8.00e-04 Epoch: [39] Epoch Time 8.823 s Loss 3.401 Lr 9.00e-04 Epoch: [40] Epoch Time 8.960 s Loss 3.517 Lr 9.00e-04 Epoch: [41] Epoch Time 8.887 s Loss 3.440 Lr 9.00e-04 Epoch: [42] Epoch Time 9.115 s Loss 3.362 Lr 9.00e-04 Epoch: [43] Epoch Time 8.973 s Loss 3.331 Lr 9.00e-04 Epoch: [44] Epoch Time 8.976 s Loss 3.232 Lr 1.00e-03 Epoch: [45] Epoch Time 9.271 s Loss 3.283 Lr 1.00e-03 Epoch: [46] Epoch Time 8.860 s Loss 3.243 Lr 1.00e-03 Epoch: [47] Epoch Time 9.263 s Loss 3.250 Lr 1.00e-03 Epoch: [48] Epoch Time 8.791 s Loss 3.306 Lr 1.00e-03 Epoch: [49] Epoch Time 8.818 s Loss 3.217 Lr 1.00e-03 Epoch: [50] Epoch Time 8.988 s Loss 3.145 Lr 1.00e-03 Epoch: [51] Epoch Time 9.184 s Loss 3.079 Lr 1.00e-03 Epoch: [52] Epoch Time 9.193 s Loss 3.036 Lr 1.00e-03 Epoch: [53] Epoch Time 8.959 s Loss 3.048 Lr 1.00e-03 Epoch: [54] Epoch Time 9.030 s Loss 3.040 Lr 1.00e-03 Epoch: [55] Epoch Time 9.001 s Loss 2.997 Lr 1.00e-03 Epoch: [56] Epoch Time 8.958 s Loss 2.982 Lr 1.00e-03 Epoch: [57] Epoch Time 8.831 s Loss 2.904 Lr 1.00e-03 Epoch: [58] Epoch Time 8.779 s Loss 2.888 Lr 1.00e-03 Epoch: [59] Epoch Time 9.094 s Loss 2.825 Lr 1.00e-03 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 76.8% CMC curve Rank-1 : 90.6% Rank-2 : 93.9% Rank-4 : 96.1% Rank-5 : 96.6% Rank-8 : 97.4% Rank-10 : 97.8% Rank-16 : 98.5% Rank-20 : 98.7% ------------------ Epoch: [60] Epoch Time 8.664 s Loss 2.845 Lr 1.00e-03 Epoch: [61] Epoch Time 8.813 s Loss 2.809 Lr 1.00e-03 Epoch: [62] Epoch Time 8.928 s Loss 2.689 Lr 1.00e-03 Epoch: [63] Epoch Time 8.864 s Loss 2.657 Lr 1.00e-03 Epoch: [64] Epoch Time 8.888 s Loss 2.612 Lr 1.00e-03 Epoch: [65] Epoch Time 8.887 s Loss 2.557 Lr 1.00e-03 Epoch: [66] Epoch Time 8.874 s Loss 2.552 Lr 1.00e-03 Epoch: [67] Epoch Time 9.209 s Loss 2.546 Lr 1.00e-03 Epoch: [68] Epoch Time 8.755 s Loss 2.517 Lr 1.00e-03 Epoch: [69] Epoch Time 8.905 s Loss 2.519 Lr 1.00e-03 Epoch: [70] Epoch Time 8.889 s Loss 2.500 Lr 1.00e-03 Epoch: [71] Epoch Time 8.780 s Loss 2.517 Lr 1.00e-03 Epoch: [72] Epoch Time 8.772 s Loss 2.485 Lr 1.00e-03 Epoch: [73] Epoch Time 8.932 s Loss 2.481 Lr 1.00e-03 Epoch: [74] Epoch Time 9.127 s Loss 2.487 Lr 1.00e-03 Epoch: [75] Epoch Time 9.154 s Loss 2.470 Lr 1.00e-03 Epoch: [76] Epoch Time 8.857 s Loss 2.460 Lr 1.00e-03 Epoch: [77] Epoch Time 9.245 s Loss 2.472 Lr 1.00e-03 Epoch: [78] Epoch Time 9.127 s Loss 2.480 Lr 1.00e-03 Epoch: [79] Epoch Time 8.779 s Loss 2.509 Lr 1.00e-03 Epoch: [80] Epoch Time 8.796 s Loss 2.453 Lr 1.00e-03 Epoch: [81] Epoch Time 9.201 s Loss 2.437 Lr 1.00e-03 Epoch: [82] Epoch Time 9.012 s Loss 2.432 Lr 1.00e-03 Epoch: [83] Epoch Time 8.850 s Loss 2.475 Lr 1.00e-03 Epoch: [84] Epoch Time 8.807 s Loss 2.473 Lr 1.00e-03 Epoch: [85] Epoch Time 9.257 s Loss 2.490 Lr 1.00e-03 Epoch: [86] Epoch Time 9.208 s Loss 2.482 Lr 1.00e-03 Epoch: [87] Epoch Time 9.055 s Loss 2.465 Lr 1.00e-03 Epoch: [88] Epoch Time 9.227 s Loss 2.495 Lr 1.00e-03 Epoch: [89] Epoch Time 9.332 s Loss 2.505 Lr 1.00e-03 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 79.6% CMC curve Rank-1 : 92.3% Rank-2 : 94.7% Rank-4 : 96.3% Rank-5 : 97.1% Rank-8 : 97.6% Rank-10 : 97.7% Rank-16 : 98.5% Rank-20 : 98.7% ------------------ Epoch: [90] Epoch Time 8.426 s Loss 2.493 Lr 1.00e-03 Epoch: [91] Epoch Time 8.988 s Loss 2.471 Lr 1.00e-03 Epoch: [92] Epoch Time 8.829 s Loss 2.500 Lr 1.00e-03 Epoch: [93] Epoch Time 8.949 s Loss 2.502 Lr 1.00e-03 Epoch: [94] Epoch Time 8.982 s Loss 2.474 Lr 1.00e-03 Epoch: [95] Epoch Time 9.128 s Loss 2.509 Lr 1.00e-03 Epoch: [96] Epoch Time 9.142 s Loss 2.566 Lr 1.00e-03 Epoch: [97] Epoch Time 8.973 s Loss 2.568 Lr 1.00e-03 Epoch: [98] Epoch Time 8.673 s Loss 2.677 Lr 1.00e-03 Epoch: [99] Epoch Time 8.866 s Loss 2.797 Lr 1.00e-03 Epoch: [100] Epoch Time 9.202 s Loss 2.920 Lr 1.00e-03 Epoch: [101] Epoch Time 8.774 s Loss 2.976 Lr 1.00e-03 Epoch: [102] Epoch Time 8.662 s Loss 2.973 Lr 1.00e-03 Epoch: [103] Epoch Time 8.803 s Loss 3.047 Lr 1.00e-03 Epoch: [104] Epoch Time 9.176 s Loss 3.122 Lr 1.00e-03 Epoch: [105] Epoch Time 8.856 s Loss 3.238 Lr 1.00e-03 Epoch: [106] Epoch Time 8.783 s Loss 3.387 Lr 1.00e-03 Epoch: [107] Epoch Time 8.699 s Loss 3.543 Lr 1.00e-03 Epoch: [108] Epoch Time 9.352 s Loss 3.734 Lr 1.00e-03 Epoch: [109] Epoch Time 8.986 s Loss 3.988 Lr 1.00e-03 Epoch: [110] Epoch Time 8.763 s Loss 3.715 Lr 1.00e-03 Epoch: [111] Epoch Time 8.749 s Loss 3.570 Lr 1.00e-03 Epoch: [112] Epoch Time 9.205 s Loss 3.429 Lr 1.00e-03 Epoch: [113] Epoch Time 8.890 s Loss 3.306 Lr 1.00e-03 Epoch: [114] Epoch Time 9.257 s Loss 3.208 Lr 1.00e-03 Epoch: [115] Epoch Time 9.002 s Loss 3.095 Lr 1.00e-03 Epoch: [116] Epoch Time 8.970 s Loss 2.993 Lr 1.00e-03 Epoch: [117] Epoch Time 9.192 s Loss 2.843 Lr 1.00e-03 Epoch: [118] Epoch Time 8.951 s Loss 2.731 Lr 1.00e-03 Epoch: [119] Epoch Time 8.893 s Loss 2.717 Lr 1.00e-03 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 78.2% CMC curve Rank-1 : 90.7% Rank-2 : 94.5% Rank-4 : 96.6% Rank-5 : 97.1% Rank-8 : 97.7% Rank-10 : 98.2% Rank-16 : 98.7% Rank-20 : 98.9% ------------------ Epoch: [120] Epoch Time 8.415 s Loss 2.652 Lr 1.00e-03 Epoch: [121] Epoch Time 8.685 s Loss 2.584 Lr 1.00e-03 Epoch: [122] Epoch Time 9.190 s Loss 2.534 Lr 1.00e-03 Epoch: [123] Epoch Time 9.167 s Loss 2.496 Lr 1.00e-03 Epoch: [124] Epoch Time 9.237 s Loss 2.483 Lr 1.00e-03 Epoch: [125] Epoch Time 9.243 s Loss 2.456 Lr 1.00e-03 Epoch: [126] Epoch Time 8.862 s Loss 2.416 Lr 1.00e-03 Epoch: [127] Epoch Time 8.952 s Loss 2.389 Lr 1.00e-03 Epoch: [128] Epoch Time 9.160 s Loss 2.396 Lr 1.00e-03 Epoch: [129] Epoch Time 9.240 s Loss 2.351 Lr 1.00e-03 Epoch: [130] Epoch Time 8.998 s Loss 2.342 Lr 1.00e-03 Epoch: [131] Epoch Time 9.238 s Loss 2.360 Lr 1.00e-03 Epoch: [132] Epoch Time 9.148 s Loss 2.357 Lr 1.00e-03 Epoch: [133] Epoch Time 8.918 s Loss 2.336 Lr 1.00e-03 Epoch: [134] Epoch Time 9.216 s Loss 2.330 Lr 1.00e-03 Epoch: [135] Epoch Time 8.827 s Loss 2.312 Lr 1.00e-03 Epoch: [136] Epoch Time 8.883 s Loss 2.309 Lr 1.00e-03 Epoch: [137] Epoch Time 9.004 s Loss 2.311 Lr 1.00e-03 Epoch: [138] Epoch Time 9.243 s Loss 2.309 Lr 1.00e-03 Epoch: [139] Epoch Time 8.993 s Loss 2.296 Lr 1.00e-03 Epoch: [140] Epoch Time 8.762 s Loss 2.307 Lr 1.00e-03 Epoch: [141] Epoch Time 9.238 s Loss 2.325 Lr 1.00e-03 Epoch: [142] Epoch Time 8.844 s Loss 2.314 Lr 1.00e-03 Epoch: [143] Epoch Time 9.184 s Loss 2.331 Lr 1.00e-03 Epoch: [144] Epoch Time 9.229 s Loss 2.324 Lr 1.00e-03 Epoch: [145] Epoch Time 9.193 s Loss 2.313 Lr 1.00e-03 Epoch: [146] Epoch Time 9.260 s Loss 2.334 Lr 1.00e-03 Epoch: [147] Epoch Time 8.994 s Loss 2.378 Lr 1.00e-03 Epoch: [148] Epoch Time 8.862 s Loss 2.419 Lr 1.00e-03 Epoch: [149] Epoch Time 8.697 s Loss 2.453 Lr 1.00e-03 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 81.2% CMC curve Rank-1 : 92.7% Rank-2 : 95.2% Rank-4 : 96.9% Rank-5 : 97.4% Rank-8 : 98.1% Rank-10 : 98.4% Rank-16 : 98.8% Rank-20 : 98.9% ------------------ Epoch: [150] Epoch Time 8.630 s Loss 2.485 Lr 1.00e-03 Epoch: [151] Epoch Time 9.287 s Loss 2.555 Lr 1.00e-03 Epoch: [152] Epoch Time 9.178 s Loss 2.631 Lr 1.00e-03 Epoch: [153] Epoch Time 8.939 s Loss 2.735 Lr 1.00e-03 Epoch: [154] Epoch Time 9.081 s Loss 2.828 Lr 1.00e-03 Epoch: [155] Epoch Time 9.272 s Loss 3.048 Lr 1.00e-03 Epoch: [156] Epoch Time 8.788 s Loss 3.347 Lr 1.00e-03 Epoch: [157] Epoch Time 9.017 s Loss 3.726 Lr 1.00e-03 Epoch: [158] Epoch Time 8.816 s Loss 4.597 Lr 1.00e-03 Epoch: [159] Epoch Time 8.982 s Loss 5.499 Lr 1.00e-03 Epoch: [160] Epoch Time 8.935 s Loss 5.576 Lr 1.00e-03 Epoch: [161] Epoch Time 8.960 s Loss 4.812 Lr 1.00e-03 Epoch: [162] Epoch Time 8.791 s Loss 4.260 Lr 1.00e-03 Epoch: [163] Epoch Time 8.713 s Loss 3.711 Lr 1.00e-03 Epoch: [164] Epoch Time 9.870 s Loss 3.377 Lr 1.00e-03 Epoch: [165] Epoch Time 8.877 s Loss 3.147 Lr 1.00e-03 Epoch: [166] Epoch Time 8.804 s Loss 2.982 Lr 1.00e-03 Epoch: [167] Epoch Time 8.778 s Loss 2.893 Lr 1.00e-03 Epoch: [168] Epoch Time 8.803 s Loss 2.752 Lr 1.00e-03 Epoch: [169] Epoch Time 9.329 s Loss 2.702 Lr 1.00e-03 Epoch: [170] Epoch Time 8.929 s Loss 2.662 Lr 1.00e-03 Epoch: [171] Epoch Time 9.029 s Loss 2.626 Lr 1.00e-03 Epoch: [172] Epoch Time 9.301 s Loss 2.568 Lr 1.00e-03 Epoch: [173] Epoch Time 9.187 s Loss 2.521 Lr 1.00e-03 Epoch: [174] Epoch Time 9.060 s Loss 2.492 Lr 1.00e-03 Epoch: [175] Epoch Time 8.955 s Loss 2.477 Lr 1.00e-03 Epoch: [176] Epoch Time 8.765 s Loss 2.466 Lr 1.00e-03 Epoch: [177] Epoch Time 8.742 s Loss 2.436 Lr 1.00e-03 Epoch: [178] Epoch Time 8.986 s Loss 2.421 Lr 1.00e-03 Epoch: [179] Epoch Time 8.939 s Loss 2.401 Lr 1.00e-03 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 82.4% CMC curve Rank-1 : 92.7% Rank-2 : 95.8% Rank-4 : 97.4% Rank-5 : 97.7% Rank-8 : 98.0% Rank-10 : 98.5% Rank-16 : 99.0% Rank-20 : 99.1% ------------------ Epoch: [180] Epoch Time 8.886 s Loss 2.382 Lr 1.00e-03 Epoch: [181] Epoch Time 8.984 s Loss 2.367 Lr 1.00e-03 Epoch: [182] Epoch Time 9.060 s Loss 2.371 Lr 1.00e-03 Epoch: [183] Epoch Time 9.131 s Loss 2.367 Lr 1.00e-03 Epoch: [184] Epoch Time 8.796 s Loss 2.351 Lr 1.00e-03 Epoch: [185] Epoch Time 9.043 s Loss 2.358 Lr 1.00e-03 Epoch: [186] Epoch Time 9.312 s Loss 2.363 Lr 1.00e-03 Epoch: [187] Epoch Time 8.813 s Loss 2.381 Lr 1.00e-03 Epoch: [188] Epoch Time 9.212 s Loss 2.367 Lr 1.00e-03 Epoch: [189] Epoch Time 9.211 s Loss 2.368 Lr 1.00e-03 Epoch: [190] Epoch Time 9.228 s Loss 2.361 Lr 1.00e-03 Epoch: [191] Epoch Time 8.825 s Loss 2.371 Lr 1.00e-03 Epoch: [192] Epoch Time 8.834 s Loss 2.356 Lr 1.00e-03 Epoch: [193] Epoch Time 8.847 s Loss 2.372 Lr 1.00e-03 Epoch: [194] Epoch Time 8.940 s Loss 2.416 Lr 1.00e-03 Epoch: [195] Epoch Time 9.421 s Loss 2.421 Lr 1.00e-03 Epoch: [196] Epoch Time 8.804 s Loss 2.396 Lr 1.00e-03 Epoch: [197] Epoch Time 8.766 s Loss 2.374 Lr 1.00e-03 Epoch: [198] Epoch Time 8.895 s Loss 2.425 Lr 1.00e-03 Epoch: [199] Epoch Time 8.952 s Loss 2.348 Lr 1.00e-04 Epoch: [200] Epoch Time 9.315 s Loss 2.315 Lr 1.00e-04 Epoch: [201] Epoch Time 8.924 s Loss 2.280 Lr 1.00e-04 Epoch: [202] Epoch Time 8.833 s Loss 2.260 Lr 1.00e-04 Epoch: [203] Epoch Time 8.808 s Loss 2.247 Lr 1.00e-04 Epoch: [204] Epoch Time 9.012 s Loss 2.241 Lr 1.00e-04 Epoch: [205] Epoch Time 9.141 s Loss 2.229 Lr 1.00e-04 Epoch: [206] Epoch Time 9.234 s Loss 2.232 Lr 1.00e-04 Epoch: [207] Epoch Time 9.014 s Loss 2.222 Lr 1.00e-04 Epoch: [208] Epoch Time 9.156 s Loss 2.220 Lr 1.00e-04 Epoch: [209] Epoch Time 9.228 s Loss 2.208 Lr 1.00e-04 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 84.7% CMC curve Rank-1 : 94.4% Rank-2 : 96.4% Rank-4 : 97.6% Rank-5 : 97.9% Rank-8 : 98.6% Rank-10 : 98.8% Rank-16 : 99.1% Rank-20 : 99.3% ------------------ Epoch: [210] Epoch Time 9.166 s Loss 2.200 Lr 1.00e-04 Epoch: [211] Epoch Time 9.045 s Loss 2.203 Lr 1.00e-04 Epoch: [212] Epoch Time 9.249 s Loss 2.199 Lr 1.00e-04 Epoch: [213] Epoch Time 8.845 s Loss 2.201 Lr 1.00e-04 Epoch: [214] Epoch Time 9.270 s Loss 2.197 Lr 1.00e-04 Epoch: [215] Epoch Time 9.005 s Loss 2.188 Lr 1.00e-04 Epoch: [216] Epoch Time 9.051 s Loss 2.192 Lr 1.00e-04 Epoch: [217] Epoch Time 8.890 s Loss 2.194 Lr 1.00e-04 Epoch: [218] Epoch Time 9.316 s Loss 2.190 Lr 1.00e-04 Epoch: [219] Epoch Time 9.269 s Loss 2.186 Lr 1.00e-04 Epoch: [220] Epoch Time 8.923 s Loss 2.198 Lr 1.00e-04 Epoch: [221] Epoch Time 9.304 s Loss 2.188 Lr 1.00e-04 Epoch: [222] Epoch Time 8.718 s Loss 2.191 Lr 1.00e-04 Epoch: [223] Epoch Time 8.885 s Loss 2.186 Lr 1.00e-04 Epoch: [224] Epoch Time 8.843 s Loss 2.179 Lr 1.00e-04 Epoch: [225] Epoch Time 9.016 s Loss 2.171 Lr 1.00e-04 Epoch: [226] Epoch Time 8.987 s Loss 2.173 Lr 1.00e-04 Epoch: [227] Epoch Time 8.975 s Loss 2.178 Lr 1.00e-04 Epoch: [228] Epoch Time 9.173 s Loss 2.178 Lr 1.00e-04 Epoch: [229] Epoch Time 8.808 s Loss 2.174 Lr 1.00e-04 Epoch: [230] Epoch Time 8.816 s Loss 2.170 Lr 1.00e-04 Epoch: [231] Epoch Time 8.707 s Loss 2.167 Lr 1.00e-04 Epoch: [232] Epoch Time 9.250 s Loss 2.164 Lr 1.00e-04 Epoch: [233] Epoch Time 8.913 s Loss 2.163 Lr 1.00e-04 Epoch: [234] Epoch Time 8.895 s Loss 2.168 Lr 1.00e-04 Epoch: [235] Epoch Time 8.754 s Loss 2.171 Lr 1.00e-04 Epoch: [236] Epoch Time 9.293 s Loss 2.163 Lr 1.00e-04 Epoch: [237] Epoch Time 8.928 s Loss 2.156 Lr 1.00e-04 Epoch: [238] Epoch Time 8.786 s Loss 2.157 Lr 1.00e-04 Epoch: [239] Epoch Time 9.309 s Loss 2.162 Lr 1.00e-04 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 85.5% CMC curve Rank-1 : 94.8% Rank-2 : 96.5% Rank-4 : 97.6% Rank-5 : 97.7% Rank-8 : 98.5% Rank-10 : 98.8% Rank-16 : 99.3% Rank-20 : 99.4% ------------------ Epoch: [240] Epoch Time 8.771 s Loss 2.159 Lr 1.00e-04 Epoch: [241] Epoch Time 9.161 s Loss 2.158 Lr 1.00e-04 Epoch: [242] Epoch Time 9.273 s Loss 2.156 Lr 1.00e-04 Epoch: [243] Epoch Time 8.856 s Loss 2.156 Lr 1.00e-04 Epoch: [244] Epoch Time 8.901 s Loss 2.156 Lr 1.00e-04 Epoch: [245] Epoch Time 9.291 s Loss 2.161 Lr 1.00e-04 Epoch: [246] Epoch Time 8.895 s Loss 2.158 Lr 1.00e-04 Epoch: [247] Epoch Time 8.794 s Loss 2.158 Lr 1.00e-04 Epoch: [248] Epoch Time 8.858 s Loss 2.154 Lr 1.00e-04 Epoch: [249] Epoch Time 8.870 s Loss 2.156 Lr 1.00e-04 Epoch: [250] Epoch Time 8.796 s Loss 2.150 Lr 1.00e-04 Epoch: [251] Epoch Time 8.811 s Loss 2.156 Lr 1.00e-04 Epoch: [252] Epoch Time 8.860 s Loss 2.148 Lr 1.00e-04 Epoch: [253] Epoch Time 8.821 s Loss 2.148 Lr 1.00e-04 Epoch: [254] Epoch Time 8.718 s Loss 2.150 Lr 1.00e-04 Epoch: [255] Epoch Time 9.159 s Loss 2.145 Lr 1.00e-04 Epoch: [256] Epoch Time 8.740 s Loss 2.146 Lr 1.00e-04 Epoch: [257] Epoch Time 8.786 s Loss 2.144 Lr 1.00e-04 Epoch: [258] Epoch Time 9.021 s Loss 2.144 Lr 1.00e-04 Epoch: [259] Epoch Time 8.882 s Loss 2.143 Lr 1.00e-04 Epoch: [260] Epoch Time 8.720 s Loss 2.147 Lr 1.00e-04 Epoch: [261] Epoch Time 8.968 s Loss 2.145 Lr 1.00e-04 Epoch: [262] Epoch Time 9.016 s Loss 2.147 Lr 1.00e-04 Epoch: [263] Epoch Time 8.786 s Loss 2.139 Lr 1.00e-04 Epoch: [264] Epoch Time 8.816 s Loss 2.143 Lr 1.00e-04 Epoch: [265] Epoch Time 9.232 s Loss 2.140 Lr 1.00e-04 Epoch: [266] Epoch Time 8.942 s Loss 2.138 Lr 1.00e-04 Epoch: [267] Epoch Time 9.027 s Loss 2.145 Lr 1.00e-04 Epoch: [268] Epoch Time 8.905 s Loss 2.144 Lr 1.00e-04 Epoch: [269] Epoch Time 8.907 s Loss 2.147 Lr 1.00e-04 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 85.8% CMC curve Rank-1 : 94.7% Rank-2 : 96.6% Rank-4 : 97.6% Rank-5 : 97.9% Rank-8 : 98.5% Rank-10 : 98.8% Rank-16 : 99.3% Rank-20 : 99.3% ------------------ Epoch: [270] Epoch Time 8.454 s Loss 2.141 Lr 1.00e-04 Epoch: [271] Epoch Time 9.186 s Loss 2.139 Lr 1.00e-04 Epoch: [272] Epoch Time 8.907 s Loss 2.144 Lr 1.00e-04 Epoch: [273] Epoch Time 8.830 s Loss 2.140 Lr 1.00e-04 Epoch: [274] Epoch Time 8.919 s Loss 2.140 Lr 1.00e-04 Epoch: [275] Epoch Time 9.250 s Loss 2.139 Lr 1.00e-04 Epoch: [276] Epoch Time 9.252 s Loss 2.140 Lr 1.00e-04 Epoch: [277] Epoch Time 8.785 s Loss 2.136 Lr 1.00e-04 Epoch: [278] Epoch Time 9.181 s Loss 2.139 Lr 1.00e-04 Epoch: [279] Epoch Time 9.179 s Loss 2.144 Lr 1.00e-04 Epoch: [280] Epoch Time 8.987 s Loss 2.140 Lr 1.00e-04 Epoch: [281] Epoch Time 9.007 s Loss 2.138 Lr 1.00e-04 Epoch: [282] Epoch Time 9.322 s Loss 2.136 Lr 1.00e-04 Epoch: [283] Epoch Time 8.949 s Loss 2.134 Lr 1.00e-04 Epoch: [284] Epoch Time 9.069 s Loss 2.135 Lr 1.00e-04 Epoch: [285] Epoch Time 9.136 s Loss 2.135 Lr 1.00e-04 Epoch: [286] Epoch Time 9.315 s Loss 2.130 Lr 1.00e-04 Epoch: [287] Epoch Time 8.855 s Loss 2.134 Lr 1.00e-04 Epoch: [288] Epoch Time 8.962 s Loss 2.128 Lr 1.00e-04 Epoch: [289] Epoch Time 8.810 s Loss 2.131 Lr 1.00e-04 Epoch: [290] Epoch Time 8.795 s Loss 2.136 Lr 1.00e-04 Epoch: [291] Epoch Time 8.795 s Loss 2.133 Lr 1.00e-04 Epoch: [292] Epoch Time 9.376 s Loss 2.129 Lr 1.00e-04 Epoch: [293] Epoch Time 8.970 s Loss 2.132 Lr 1.00e-04 Epoch: [294] Epoch Time 9.174 s Loss 2.137 Lr 1.00e-04 Epoch: [295] Epoch Time 9.070 s Loss 2.130 Lr 1.00e-04 Epoch: [296] Epoch Time 8.828 s Loss 2.129 Lr 1.00e-04 Epoch: [297] Epoch Time 8.954 s Loss 2.133 Lr 1.00e-04 Epoch: [298] Epoch Time 8.764 s Loss 2.133 Lr 1.00e-04 Epoch: [299] Epoch Time 9.347 s Loss 2.126 Lr 1.00e-05 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 86.0% CMC curve Rank-1 : 95.0% Rank-2 : 96.7% Rank-4 : 97.6% Rank-5 : 97.9% Rank-8 : 98.4% Rank-10 : 98.7% Rank-16 : 99.2% Rank-20 : 99.3% ------------------ Epoch: [300] Epoch Time 8.647 s Loss 2.124 Lr 1.00e-05 Epoch: [301] Epoch Time 8.845 s Loss 2.120 Lr 1.00e-05 Epoch: [302] Epoch Time 9.520 s Loss 2.120 Lr 1.00e-05 Epoch: [303] Epoch Time 8.896 s Loss 2.126 Lr 1.00e-05 Epoch: [304] Epoch Time 8.975 s Loss 2.121 Lr 1.00e-05 Epoch: [305] Epoch Time 8.939 s Loss 2.119 Lr 1.00e-05 Epoch: [306] Epoch Time 8.814 s Loss 2.122 Lr 1.00e-05 Epoch: [307] Epoch Time 8.946 s Loss 2.117 Lr 1.00e-05 Epoch: [308] Epoch Time 8.902 s Loss 2.118 Lr 1.00e-05 Epoch: [309] Epoch Time 9.070 s Loss 2.116 Lr 1.00e-05 Epoch: [310] Epoch Time 8.784 s Loss 2.116 Lr 1.00e-05 Epoch: [311] Epoch Time 8.741 s Loss 2.114 Lr 1.00e-05 Epoch: [312] Epoch Time 9.277 s Loss 2.124 Lr 1.00e-05 Epoch: [313] Epoch Time 8.847 s Loss 2.114 Lr 1.00e-05 Epoch: [314] Epoch Time 9.487 s Loss 2.116 Lr 1.00e-05 Epoch: [315] Epoch Time 8.849 s Loss 2.119 Lr 1.00e-05 Epoch: [316] Epoch Time 8.733 s Loss 2.118 Lr 1.00e-05 Epoch: [317] Epoch Time 9.242 s Loss 2.116 Lr 1.00e-05 Epoch: [318] Epoch Time 8.942 s Loss 2.115 Lr 1.00e-05 Epoch: [319] Epoch Time 8.720 s Loss 2.114 Lr 1.00e-05 Epoch: [320] Epoch Time 9.194 s Loss 2.113 Lr 1.00e-05 Epoch: [321] Epoch Time 9.043 s Loss 2.113 Lr 1.00e-05 Epoch: [322] Epoch Time 9.143 s Loss 2.114 Lr 1.00e-05 Epoch: [323] Epoch Time 8.719 s Loss 2.111 Lr 1.00e-05 Epoch: [324] Epoch Time 8.798 s Loss 2.113 Lr 1.00e-05 Epoch: [325] Epoch Time 8.980 s Loss 2.109 Lr 1.00e-05 Epoch: [326] Epoch Time 9.112 s Loss 2.109 Lr 1.00e-05 Epoch: [327] Epoch Time 8.875 s Loss 2.113 Lr 1.00e-05 Epoch: [328] Epoch Time 8.894 s Loss 2.111 Lr 1.00e-05 Epoch: [329] Epoch Time 9.022 s Loss 2.111 Lr 1.00e-05 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 86.1% CMC curve Rank-1 : 95.2% Rank-2 : 96.7% Rank-4 : 97.6% Rank-5 : 97.9% Rank-8 : 98.6% Rank-10 : 98.8% Rank-16 : 99.2% Rank-20 : 99.3% ------------------ Epoch: [330] Epoch Time 8.792 s Loss 2.114 Lr 1.00e-05 Epoch: [331] Epoch Time 8.917 s Loss 2.109 Lr 1.00e-05 Epoch: [332] Epoch Time 9.034 s Loss 2.114 Lr 1.00e-05 Epoch: [333] Epoch Time 8.892 s Loss 2.113 Lr 1.00e-05 Epoch: [334] Epoch Time 8.824 s Loss 2.109 Lr 1.00e-05 Epoch: [335] Epoch Time 9.003 s Loss 2.111 Lr 1.00e-05 Epoch: [336] Epoch Time 9.371 s Loss 2.113 Lr 1.00e-05 Epoch: [337] Epoch Time 8.801 s Loss 2.112 Lr 1.00e-05 Epoch: [338] Epoch Time 8.725 s Loss 2.108 Lr 1.00e-05 Epoch: [339] Epoch Time 8.984 s Loss 2.110 Lr 1.00e-05 Epoch: [340] Epoch Time 9.269 s Loss 2.114 Lr 1.00e-05 Epoch: [341] Epoch Time 8.803 s Loss 2.111 Lr 1.00e-05 Epoch: [342] Epoch Time 8.924 s Loss 2.116 Lr 1.00e-05 Epoch: [343] Epoch Time 8.886 s Loss 2.105 Lr 1.00e-05 Epoch: [344] Epoch Time 9.254 s Loss 2.111 Lr 1.00e-05 Epoch: [345] Epoch Time 8.804 s Loss 2.113 Lr 1.00e-05 Epoch: [346] Epoch Time 8.909 s Loss 2.108 Lr 1.00e-05 Epoch: [347] Epoch Time 8.942 s Loss 2.109 Lr 1.00e-05 Epoch: [348] Epoch Time 8.927 s Loss 2.107 Lr 1.00e-05 Epoch: [349] Epoch Time 8.860 s Loss 2.107 Lr 1.00e-05 Epoch: [350] Epoch Time 8.824 s Loss 2.107 Lr 1.00e-05 Epoch: [351] Epoch Time 9.134 s Loss 2.113 Lr 1.00e-05 Epoch: [352] Epoch Time 9.307 s Loss 2.109 Lr 1.00e-05 Epoch: [353] Epoch Time 8.924 s Loss 2.114 Lr 1.00e-05 Epoch: [354] Epoch Time 9.325 s Loss 2.107 Lr 1.00e-05 Epoch: [355] Epoch Time 8.968 s Loss 2.110 Lr 1.00e-05 Epoch: [356] Epoch Time 9.048 s Loss 2.110 Lr 1.00e-05 Epoch: [357] Epoch Time 8.807 s Loss 2.108 Lr 1.00e-05 Epoch: [358] Epoch Time 9.279 s Loss 2.108 Lr 1.00e-05 Epoch: [359] Epoch Time 9.011 s Loss 2.111 Lr 1.00e-05 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 86.2% CMC curve Rank-1 : 95.3% Rank-2 : 96.9% Rank-4 : 97.6% Rank-5 : 97.8% Rank-8 : 98.6% Rank-10 : 98.8% Rank-16 : 99.3% Rank-20 : 99.4% ------------------ Epoch: [360] Epoch Time 8.714 s Loss 2.111 Lr 1.00e-05 Epoch: [361] Epoch Time 8.867 s Loss 2.104 Lr 1.00e-05 Epoch: [362] Epoch Time 8.821 s Loss 2.111 Lr 1.00e-05 Epoch: [363] Epoch Time 8.821 s Loss 2.105 Lr 1.00e-05 Epoch: [364] Epoch Time 8.886 s Loss 2.110 Lr 1.00e-05 Epoch: [365] Epoch Time 8.834 s Loss 2.110 Lr 1.00e-05 Epoch: [366] Epoch Time 9.022 s Loss 2.113 Lr 1.00e-05 Epoch: [367] Epoch Time 8.956 s Loss 2.108 Lr 1.00e-05 Epoch: [368] Epoch Time 8.814 s Loss 2.108 Lr 1.00e-05 Epoch: [369] Epoch Time 9.226 s Loss 2.111 Lr 1.00e-05 Epoch: [370] Epoch Time 9.067 s Loss 2.112 Lr 1.00e-05 Epoch: [371] Epoch Time 9.091 s Loss 2.111 Lr 1.00e-05 Epoch: [372] Epoch Time 8.732 s Loss 2.105 Lr 1.00e-05 Epoch: [373] Epoch Time 8.774 s Loss 2.108 Lr 1.00e-05 Epoch: [374] Epoch Time 8.866 s Loss 2.103 Lr 1.00e-05 Epoch: [375] Epoch Time 9.022 s Loss 2.105 Lr 1.00e-05 Epoch: [376] Epoch Time 9.143 s Loss 2.106 Lr 1.00e-05 Epoch: [377] Epoch Time 8.736 s Loss 2.109 Lr 1.00e-05 Epoch: [378] Epoch Time 8.845 s Loss 2.108 Lr 1.00e-05 Epoch: [379] Epoch Time 9.141 s Loss 2.112 Lr 1.00e-05 Epoch: [380] Epoch Time 8.897 s Loss 2.108 Lr 1.00e-05 Epoch: [381] Epoch Time 9.272 s Loss 2.107 Lr 1.00e-05 Epoch: [382] Epoch Time 9.036 s Loss 2.108 Lr 1.00e-05 Epoch: [383] Epoch Time 9.162 s Loss 2.101 Lr 1.00e-05 Epoch: [384] Epoch Time 8.814 s Loss 2.103 Lr 1.00e-05 Epoch: [385] Epoch Time 8.823 s Loss 2.104 Lr 1.00e-05 Epoch: [386] Epoch Time 8.824 s Loss 2.108 Lr 1.00e-05 Epoch: [387] Epoch Time 9.308 s Loss 2.104 Lr 1.00e-05 Epoch: [388] Epoch Time 9.276 s Loss 2.104 Lr 1.00e-05 Epoch: [389] Epoch Time 9.397 s Loss 2.103 Lr 1.00e-05 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 86.0% CMC curve Rank-1 : 95.1% Rank-2 : 96.5% Rank-4 : 97.5% Rank-5 : 97.8% Rank-8 : 98.5% Rank-10 : 98.8% Rank-16 : 99.2% Rank-20 : 99.3% ------------------ Epoch: [390] Epoch Time 8.666 s Loss 2.104 Lr 1.00e-05 Epoch: [391] Epoch Time 8.970 s Loss 2.107 Lr 1.00e-05 Epoch: [392] Epoch Time 8.814 s Loss 2.107 Lr 1.00e-05 Epoch: [393] Epoch Time 8.826 s Loss 2.106 Lr 1.00e-05 Epoch: [394] Epoch Time 9.094 s Loss 2.107 Lr 1.00e-05 Epoch: [395] Epoch Time 8.743 s Loss 2.106 Lr 1.00e-05 Epoch: [396] Epoch Time 9.083 s Loss 2.105 Lr 1.00e-05 Epoch: [397] Epoch Time 8.895 s Loss 2.104 Lr 1.00e-05 Epoch: [398] Epoch Time 8.885 s Loss 2.108 Lr 1.00e-05 Epoch: [399] Epoch Time 8.981 s Loss 2.107 Lr 1.00e-05 Extracted features for query set: 3368 x 1536 Extracted features for gallery set: 15913 x 1536 Computing distance matrix Computing CMC and mAP Results ---------- mAP: 86.1% CMC curve Rank-1 : 95.0% Rank-2 : 96.6% Rank-4 : 97.5% Rank-5 : 97.7% Rank-8 : 98.6% Rank-10 : 98.8% Rank-16 : 99.2% Rank-20 : 99.3% ------------------ Best rank-1 95.3%, achived at epoch 360