CUDA available: True
loading annotations into memory...
Done (t=0.01s)
creating index...
index created!
loading annotations into memory...
Done (t=0.01s)
creating index...
index created!
Num training images: 50
Epoch: 0 | Iteration: 0 | Classification loss: 1.19556 | Regression loss: 1.05080 | Running loss: 2.24637
Epoch: 0 | Iteration: 1 | Classification loss: 1.18417 | Regression loss: 1.02048 | Running loss: 2.22551
Epoch: 0 | Iteration: 2 | Classification loss: 1.17741 | Regression loss: 1.11366 | Running loss: 2.24736
Epoch: 0 | Iteration: 3 | Classification loss: 1.17096 | Regression loss: 1.04650 | Running loss: 2.23989
Epoch: 0 | Iteration: 4 | Classification loss: 1.19194 | Regression loss: 1.01869 | Running loss: 2.23403
Epoch: 0 | Iteration: 5 | Classification loss: 1.12110 | Regression loss: 1.04893 | Running loss: 2.22337
Epoch: 0 | Iteration: 6 | Classification loss: 1.18965 | Regression loss: 1.05025 | Running loss: 2.22573
Epoch: 0 | Iteration: 7 | Classification loss: 1.26503 | Regression loss: 1.12466 | Running loss: 2.24622
Epoch: 0 | Iteration: 8 | Classification loss: 1.19365 | Regression loss: 1.08828 | Running loss: 2.25019
Epoch: 0 | Iteration: 9 | Classification loss: 1.18211 | Regression loss: 1.07852 | Running loss: 2.25124
Epoch: 0 | Iteration: 10 | Classification loss: 1.18385 | Regression loss: 1.03825 | Running loss: 2.24859
Epoch: 0 | Iteration: 11 | Classification loss: 2.09592 | Regression loss: 0.50426 | Running loss: 2.27789
Epoch: 0 | Iteration: 12 | Classification loss: 1.20815 | Regression loss: 1.02650 | Running loss: 2.27456
Epoch: 0 | Iteration: 13 | Classification loss: 1.23010 | Regression loss: 1.06550 | Running loss: 2.27606
Epoch: 0 | Iteration: 14 | Classification loss: 1.12114 | Regression loss: 1.03578 | Running loss: 2.26812
Epoch: 0 | Iteration: 15 | Classification loss: 1.22391 | Regression loss: 1.03894 | Running loss: 2.26779
Epoch: 0 | Iteration: 16 | Classification loss: 1.13289 | Regression loss: 1.06901 | Running loss: 2.26392
Epoch: 0 | Iteration: 17 | Classification loss: 1.27714 | Regression loss: 1.23901 | Running loss: 2.27793
Epoch: 0 | Iteration: 18 | Classification loss: 1.13343 | Regression loss: 1.05038 | Running loss: 2.27298
Epoch: 0 | Iteration: 19 | Classification loss: 1.14547 | Regression loss: 1.04850 | Running loss: 2.26902
Epoch: 0 | Iteration: 20 | Classification loss: 1.18037 | Regression loss: 1.05840 | Running loss: 2.26758
Epoch: 0 | Iteration: 21 | Classification loss: 1.16313 | Regression loss: 1.07744 | Running loss: 2.26636
Epoch: 0 | Iteration: 22 | Classification loss: 1.14467 | Regression loss: 1.04074 | Running loss: 2.26284
Epoch: 0 | Iteration: 23 | Classification loss: 1.13672 | Regression loss: 1.05350 | Running loss: 2.25981
Epoch: 0 | Iteration: 24 | Classification loss: 1.13363 | Regression loss: 1.04362 | Running loss: 2.25651
Evaluating dataset
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Loading and preparing results...
DONE (t=0.01s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.23s).
Accumulating evaluation results...
DONE (t=0.13s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000
Moved val2017_bbox_results.json to E:\test_onesis\1115\val2017_bbox_results.json
Epoch: 1 | Iteration: 0 | Classification loss: 2.38586 | Regression loss: 0.49422 | Running loss: 2.28049
Epoch: 1 | Iteration: 1 | Classification loss: 1.13774 | Regression loss: 1.06674 | Running loss: 2.27768
Epoch: 1 | Iteration: 2 | Classification loss: 1.10083 | Regression loss: 1.00750 | Running loss: 2.27163
Epoch: 1 | Iteration: 3 | Classification loss: 1.04957 | Regression loss: 1.05285 | Running loss: 2.26579
Epoch: 1 | Iteration: 4 | Classification loss: 1.11007 | Regression loss: 1.01601 | Running loss: 2.26114
Epoch: 1 | Iteration: 5 | Classification loss: 1.06064 | Regression loss: 1.03876 | Running loss: 2.25592
Epoch: 1 | Iteration: 6 | Classification loss: 1.21352 | Regression loss: 1.19233 | Running loss: 2.26060
Epoch: 1 | Iteration: 7 | Classification loss: 1.06662 | Regression loss: 1.01802 | Running loss: 2.25527
Epoch: 1 | Iteration: 8 | Classification loss: 1.06718 | Regression loss: 1.03144 | Running loss: 2.25066
Epoch: 1 | Iteration: 9 | Classification loss: 1.07117 | Regression loss: 1.03558 | Running loss: 2.24655
Epoch: 1 | Iteration: 10 | Classification loss: 1.06400 | Regression loss: 1.03355 | Running loss: 2.24241
Epoch: 1 | Iteration: 11 | Classification loss: 1.04209 | Regression loss: 1.06865 | Running loss: 2.23885
Epoch: 1 | Iteration: 12 | Classification loss: 1.11443 | Regression loss: 1.04810 | Running loss: 2.23685
Epoch: 1 | Iteration: 13 | Classification loss: 1.04841 | Regression loss: 1.03539 | Running loss: 2.23292
Epoch: 1 | Iteration: 14 | Classification loss: 1.12112 | Regression loss: 1.05660 | Running loss: 2.23154
Epoch: 1 | Iteration: 15 | Classification loss: 1.11011 | Regression loss: 1.00968 | Running loss: 2.22882
Epoch: 1 | Iteration: 16 | Classification loss: 1.00848 | Regression loss: 0.97390 | Running loss: 2.22295
Epoch: 1 | Iteration: 17 | Classification loss: 1.07095 | Regression loss: 1.04507 | Running loss: 2.22046
Epoch: 1 | Iteration: 18 | Classification loss: 1.01360 | Regression loss: 1.02625 | Running loss: 2.21636
Epoch: 1 | Iteration: 19 | Classification loss: 0.99780 | Regression loss: 1.02004 | Running loss: 2.21195
Epoch: 1 | Iteration: 20 | Classification loss: 1.05567 | Regression loss: 0.95606 | Running loss: 2.20759
Epoch: 1 | Iteration: 21 | Classification loss: 0.96296 | Regression loss: 1.00627 | Running loss: 2.20252
Epoch: 1 | Iteration: 22 | Classification loss: 0.80741 | Regression loss: 1.00381 | Running loss: 2.19437
Epoch: 1 | Iteration: 23 | Classification loss: 1.02379 | Regression loss: 1.04783 | Running loss: 2.19186
Epoch: 1 | Iteration: 24 | Classification loss: 1.10208 | Regression loss: 1.06304 | Running loss: 2.19133
Evaluating dataset
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Loading and preparing results...
DONE (t=0.60s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=0.49s).
Accumulating evaluation results...
DONE (t=0.27s).
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.000
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.001
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.012
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.000
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.030
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.017
Moved val2017_bbox_results.json to E:\test_onesis\1115\val2017_bbox_results.json
Model saved to: E:\test_onesis\1115\model_final.pth