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MaskRCNNFPNCOCODemon-iou7 evaler step= 4953, time_cost=0.101, avg_time_cost=0.1116 Test size 4952 creating index... index created! creating index... index created! Running per image evaluation... Evaluate annotation type bbox DONE (t=37.26s). Accumulating evaluation results... DONE (t=8.23s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.314 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.499 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.063 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.295 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.473 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.278 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.405 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.418 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.110 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.441 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.583 |配置|mAP|[email protected]|[email protected]|mAP (small)|mAP (medium)|mAP (large)|AR@1|AR@10|AR@100|AR@100 (small)|AR@100 (medium)|AR@100 (large)| |---|---|---|---|---|---|---|---|---|---|---|---|---| ||0.314|0.499|0.335|0.063|0.295|0.473|0.278|0.405|0.418|0.110|0.441|0.583|

MaskRCNNFPNCOCODemon-sephv14_20_1 evaler step= 4953, time_cost=0.234, avg_time_cost=0.1467 Test size 4952 creating index... index created! creating index... index created! Running per image evaluation... Evaluate annotation type bbox DONE (t=63.70s). Accumulating evaluation results... DONE (t=5.51s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.315 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.509 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.069 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.298 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.465 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.278 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.416 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.433 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.134 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.454 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.586 |配置|mAP|[email protected]|[email protected]|mAP (small)|mAP (medium)|mAP (large)|AR@1|AR@10|AR@100|AR@100 (small)|AR@100 (medium)|AR@100 (large)| |---|---|---|---|---|---|---|---|---|---|---|---|---| ||0.315|0.509|0.335|0.069|0.298|0.465|0.278|0.416|0.433|0.134|0.454|0.586|

MaskRCNNFPNCOCODemon-sephv14_20 evaler step= 4953, time_cost=0.092, avg_time_cost=0.1165 Test size 4952 creating index... index created! INFO:tensorflow:Loading and preparing annotation results... 19:47:36 INFO tf_logging.py info:Loading and preparing annotation results... INFO:tensorflow:DONE (t=0.06s) 19:47:36 INFO tf_logging.py info:DONE (t=0.06s) creating index... index created! Running per image evaluation... Evaluate annotation type bbox DONE (t=17.01s). Accumulating evaluation results... DONE (t=2.80s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.535 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.362 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.075 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.327 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.490 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.284 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.422 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.436 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.131 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.457 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.593 |配置|mAP|[email protected]|[email protected]|mAP (small)|mAP (medium)|mAP (large)|AR@1|AR@10|AR@100|AR@100 (small)|AR@100 (medium)|AR@100 (large)| |---|---|---|---|---|---|---|---|---|---|---|---|---| ||0.335|0.535|0.362|0.075|0.327|0.490|0.284|0.422|0.436|0.131|0.457|0.593|

MaskRCNNFPNCOCODemon-sephv14_19 evaler step= 4953, time_cost=0.142, avg_time_cost=0.1745 Test size 4952 creating index... index created! INFO:tensorflow:Loading and preparing annotation results... 08:38:05 INFO tf_logging.py info:Loading and preparing annotation results... INFO:tensorflow:DONE (t=0.09s) 08:38:05 INFO tf_logging.py info:DONE (t=0.09s) creating index... index created! Running per image evaluation... Evaluate annotation type bbox DONE (t=26.38s). Accumulating evaluation results... DONE (t=4.19s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.342 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.550 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.371 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.090 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.331 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.496 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.288 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.435 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.453 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.160 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.477 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.604 |配置|mAP|[email protected]|[email protected]|mAP (small)|mAP (medium)|mAP (large)|AR@1|AR@10|AR@100|AR@100 (small)|AR@100 (medium)|AR@100 (large)| |---|---|---|---|---|---|---|---|---|---|---|---|---| ||0.342|0.550|0.371|0.090|0.331|0.496|0.288|0.435|0.453|0.160|0.477|0.604|