mdz/pytorch/detr/metrics_log/detr_640x640_parse.log

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loading annotations into memory...
Done (t=0.86s)
creating index...
index created!
Loading and preparing results...
DONE (t=2.11s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type *bbox*
DONE (t=26.12s).
Accumulating evaluation results...
DONE (t=4.81s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.365
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.558
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.377
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.136
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.391
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.590
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.306
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.473
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.508
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.220
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.551
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.776