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+
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+ EVA-attribure: Dataset statistics:
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+ EVA-attribure: --------------------------------------------
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+ EVA-attribure: subset | # ids | # images | # clothes
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+ EVA-attribure: --------------------------------------------
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+ EVA-attribure: train | 150 | 17896 | 300
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+ EVA-attribure: val | 150 | 5002 | 300
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+ EVA-attribure: test | 71 | 10800 | 142
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+ EVA-attribure: query(same) | 71 | 3873 |
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+ EVA-attribure: query(diff) | 71 | 3543 |
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+ EVA-attribure: gallery | 71 | 3384 |
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+ EVA-attribure: --------------------------------------------
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+ EVA-attribure: total | 221 | 33698 | 442
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+ EVA-attribure: --------------------------------------------
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+ EVA-attribure.train: start training
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+ EVA-attribure.train: Train Start !!
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+ EVA-attribure.train: Epoch[1] Iteration[500/1114] Loss: 7.666, Color: 1.417 Dist : 0.022, Acc: 0.038, Base Lr: 1.74e-06
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+ EVA-attribure.train: Epoch[1] Iteration[1000/1114] Loss: 7.079, Color: 0.926 Dist : 0.017, Acc: 0.058, Base Lr: 1.74e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :55.9% Rank-5 :66.4% Rank-10 :70.9%
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+ EVA-attribure.train: CC : mAP Acc. :49.8%
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+ EVA-attribure.train: Validation Results - Epoch: 1
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :95.9%
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+ EVA-attribure.train: ==> Best Rank-1 55.9%, Best Map 49.8% achieved at epoch 1
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+ EVA-attribure.train: Epoch[2] Iteration[500/1114] Loss: 5.915, Color: 0.605 Dist : 0.018, Acc: 0.118, Base Lr: 2.70e-06
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+ EVA-attribure.train: Epoch[2] Iteration[1000/1114] Loss: 5.787, Color: 0.417 Dist : 0.010, Acc: 0.122, Base Lr: 2.70e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :64.0% Rank-5 :73.3% Rank-10 :78.0%
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+ EVA-attribure.train: CC : mAP Acc. :57.7%
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+ EVA-attribure.train: Validation Results - Epoch: 2
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :97.1%
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+ EVA-attribure.train: ==> Best Rank-1 64.0%, Best Map 57.7% achieved at epoch 2
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+ EVA-attribure.train: Epoch[3] Iteration[500/1114] Loss: 5.460, Color: 0.435 Dist : 0.010, Acc: 0.170, Base Lr: 3.66e-06
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+ EVA-attribure.train: Epoch[3] Iteration[1000/1114] Loss: 5.414, Color: 0.245 Dist : 0.013, Acc: 0.173, Base Lr: 3.66e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :65.5% Rank-5 :74.2% Rank-10 :77.8%
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+ EVA-attribure.train: CC : mAP Acc. :61.2%
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+ EVA-attribure.train: Validation Results - Epoch: 3
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :99.9% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :98.1%
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+ EVA-attribure.train: ==> Best Rank-1 65.5%, Best Map 61.2% achieved at epoch 3
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+ EVA-attribure.train: Epoch[4] Iteration[500/1114] Loss: 5.230, Color: 0.283 Dist : 0.016, Acc: 0.232, Base Lr: 4.63e-06
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+ EVA-attribure.train: Epoch[4] Iteration[1000/1114] Loss: 5.184, Color: 0.286 Dist : 0.008, Acc: 0.261, Base Lr: 4.63e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :66.8% Rank-5 :76.0% Rank-10 :79.8%
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+ EVA-attribure.train: CC : mAP Acc. :62.9%
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+ EVA-attribure.train: Validation Results - Epoch: 4
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :98.9%
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+ EVA-attribure.train: ==> Best Rank-1 66.8%, Best Map 62.9% achieved at epoch 4
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+ EVA-attribure.train: Epoch[5] Iteration[500/1114] Loss: 4.893, Color: 0.373 Dist : 0.010, Acc: 0.415, Base Lr: 5.59e-06
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+ EVA-attribure.train: Epoch[5] Iteration[1000/1114] Loss: 4.791, Color: 0.200 Dist : 0.012, Acc: 0.461, Base Lr: 5.59e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :61.6% Rank-5 :69.6% Rank-10 :74.1%
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+ EVA-attribure.train: CC : mAP Acc. :59.1%
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+ EVA-attribure.train: Validation Results - Epoch: 5
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.5%
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+ EVA-attribure.train: Epoch[6] Iteration[500/1114] Loss: 4.413, Color: 0.281 Dist : 0.019, Acc: 0.586, Base Lr: 6.55e-06
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+ EVA-attribure.train: Epoch[6] Iteration[1000/1114] Loss: 4.270, Color: 0.178 Dist : 0.012, Acc: 0.610, Base Lr: 6.55e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :62.3% Rank-5 :69.6% Rank-10 :72.9%
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+ EVA-attribure.train: CC : mAP Acc. :60.3%
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+ EVA-attribure.train: Validation Results - Epoch: 6
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.6%
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+ EVA-attribure.train: Epoch[7] Iteration[500/1114] Loss: 3.778, Color: 0.299 Dist : 0.010, Acc: 0.697, Base Lr: 7.51e-06
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+ EVA-attribure.train: Epoch[7] Iteration[1000/1114] Loss: 3.634, Color: 0.201 Dist : 0.008, Acc: 0.720, Base Lr: 7.51e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :61.8% Rank-5 :68.4% Rank-10 :71.2%
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+ EVA-attribure.train: CC : mAP Acc. :60.2%
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+ EVA-attribure.train: Validation Results - Epoch: 7
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.6%
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+ EVA-attribure.train: Epoch[8] Iteration[500/1114] Loss: 3.142, Color: 0.338 Dist : 0.012, Acc: 0.776, Base Lr: 8.47e-06
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+ EVA-attribure.train: Epoch[8] Iteration[1000/1114] Loss: 2.998, Color: 0.244 Dist : 0.011, Acc: 0.801, Base Lr: 8.47e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :59.4% Rank-5 :65.8% Rank-10 :68.5%
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+ EVA-attribure.train: CC : mAP Acc. :59.5%
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+ EVA-attribure.train: Validation Results - Epoch: 8
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :99.9% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.7%
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+ EVA-attribure.train: Epoch[9] Iteration[500/1114] Loss: 2.517, Color: 0.292 Dist : 0.011, Acc: 0.852, Base Lr: 9.43e-06
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+ EVA-attribure.train: Epoch[9] Iteration[1000/1114] Loss: 2.389, Color: 0.293 Dist : 0.010, Acc: 0.866, Base Lr: 9.43e-06
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :58.3% Rank-5 :65.1% Rank-10 :67.9%
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+ EVA-attribure.train: CC : mAP Acc. :58.2%
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+ EVA-attribure.train: Validation Results - Epoch: 9
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :99.9% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.8%
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+ EVA-attribure.train: Epoch[10] Iteration[500/1114] Loss: 1.954, Color: 0.303 Dist : 0.010, Acc: 0.911, Base Lr: 1.04e-05
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+ EVA-attribure.train: Epoch[10] Iteration[1000/1114] Loss: 1.850, Color: 0.241 Dist : 0.008, Acc: 0.920, Base Lr: 1.04e-05
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :58.8% Rank-5 :64.7% Rank-10 :68.3%
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+ EVA-attribure.train: CC : mAP Acc. :58.5%
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+ EVA-attribure.train: Validation Results - Epoch: 10
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.8%
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+ EVA-attribure.train: Epoch[11] Iteration[500/1114] Loss: 1.495, Color: 0.284 Dist : 0.004, Acc: 0.945, Base Lr: 1.14e-05
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+ EVA-attribure.train: Epoch[11] Iteration[1000/1114] Loss: 1.422, Color: 0.181 Dist : 0.008, Acc: 0.953, Base Lr: 1.14e-05
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :58.3% Rank-5 :64.2% Rank-10 :67.6%
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+ EVA-attribure.train: CC : mAP Acc. :59.3%
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+ EVA-attribure.train: Validation Results - Epoch: 11
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.8%
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+ EVA-attribure.train: Epoch[12] Iteration[500/1114] Loss: 1.159, Color: 0.264 Dist : 0.009, Acc: 0.967, Base Lr: 1.23e-05
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+ EVA-attribure.train: Epoch[12] Iteration[1000/1114] Loss: 1.103, Color: 0.124 Dist : 0.004, Acc: 0.970, Base Lr: 1.23e-05
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :57.2% Rank-5 :63.8% Rank-10 :68.1%
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+ EVA-attribure.train: CC : mAP Acc. :58.3%
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+ EVA-attribure.train: Validation Results - Epoch: 12
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.9%
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+ EVA-attribure.train: Epoch[13] Iteration[500/1114] Loss: 0.919, Color: 0.268 Dist : 0.012, Acc: 0.977, Base Lr: 1.33e-05
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+ EVA-attribure.train: Epoch[13] Iteration[1000/1114] Loss: 0.872, Color: 0.154 Dist : 0.006, Acc: 0.980, Base Lr: 1.33e-05
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+ EVA-attribure.train: Clothes changing setting
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+ EVA-attribure.train: CC : CMC curve, Rank-1 :56.7% Rank-5 :63.5% Rank-10 :66.9%
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+ EVA-attribure.train: CC : mAP Acc. :57.9%
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+ EVA-attribure.train: Validation Results - Epoch: 13
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+ EVA-attribure.train: Standard setting
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+ EVA-attribure.train: SC: CMC curve, Rank-1 :100.0% Rank-5 :100.0% Rank-10 :100.0%
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+ EVA-attribure.train: SC: mAP Acc. :99.9%
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+ EVA-attribure.train:
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+ *** TERMINATING... Top1 : 56.7% << Best Rank-1 66.8% - 10 ***
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+ EVA-attribure.train: ==> Best Rank-1 66.8%, Best Map 62.9% achieved at epoch 0