python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-190315-214317.pkl --long-edge=321 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.500
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.735
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.529
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.359
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.697
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.550
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.760
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.579
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.394
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.764
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-l1-190403-162441.pkl --long-edge=321 --loader-workers=8 --fixed-b=1.0
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.417
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.685
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.426
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.265
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.470
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.715
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.483
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.303
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.698
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-smoothl1-rsmooth0.2-190401-114702.pkl --long-edge=321 --loader-workers=8 --fixed-b=1.0
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.420
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.689
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.424
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.269
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.626
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.471
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.719
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.480
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.306
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.697
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-smoothl1-rsmooth0.5-190403-162449.pkl --long-edge=321 --loader-workers=8 --fixed-b=1.0
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.419
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.686
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.421
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.270
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.625
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.471
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.717
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.479
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.306
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.697
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-smoothl1-rsmooth1.0-190401-114712.pkl --long-edge=321 --loader-workers=8 --fixed-b=1.0
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.416
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.684
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.424
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.265
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.623
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.470
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.715
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.483
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.302
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.699
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-190401-220105.pkl --long-edge=321 --loader-workers=8 --fixed-b=1.0
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.451
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.713
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.468
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.314
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.640
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.503
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.741
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.523
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.351
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.711
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-190401-220105.pkl --long-edge=321 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.455
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.717
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.471
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.314
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.649
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.508
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.746
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.528
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.353
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.720
WITH TIMING python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-190315-214317.pkl --long-edge=641 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.626
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.851
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.687
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.599
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.674
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.686
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.884
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.741
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.639
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.751
Decoder 0: decoder time = 888.3387265205383s
total processing time = 1107.5033490657806s
WITH TIMING python -m openpifpaf.eval_coco --checkpoint outputs/resnet101block5-pif-paf-edge401-190313-100107.pkl --long-edge=641 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.657
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.866
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.719
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.619
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.718
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.712
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.895
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.768
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.660
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.785
Decoder 0: decoder time = 875.4406125545502s
total processing time = 1198.353811264038s
python -m openpifpaf.eval_coco --checkpoint outputs/resnet101block5-pif-paf-edge401-190313-100107.pkl --long-edge=641 --loader-workers=8 --pif-fixed-scale=0.5
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.645
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.854
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.707
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.613
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.702
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.705
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.887
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.760
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.657
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.773
WITH TIMING python -m openpifpaf.eval_coco --checkpoint outputs/resnet152block5-pif-paf-edge401-190322-092459.pkl --long-edge=641 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.674
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.869
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.738
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.631
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.741
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.726
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.898
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.781
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.672
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.800
Decoder 0: decoder time = 861.8545560836792s
total processing time = 1315.8536067008972s
python -m openpifpaf.eval_coco --checkpoint outputs/resnet152block5-pif-paf-edge401-190322-092459.pkl --long-edge=641 --loader-workers=8 --dataset=test-dev --write-predictions --all-images
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.667
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.878
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.736
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.624
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.729
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.722
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.909
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.783
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.664
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.800
python -m openpifpaf.eval_coco --checkpoint outputs/resnet50block5-pif-paf-edge401-190424-122009.pkl --long-edge=641 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.638
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.858
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.700
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.612
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.679
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.694
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.889
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.750
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.649
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.757
python -m openpifpaf.eval_coco --checkpoint outputs/resnet101block5-pif-paf-edge401-190412-151013.pkl --long-edge=641 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.666
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.871
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.730
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.629
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.723
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.714
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.896
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.771
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.663
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.787
python -m openpifpaf.eval_coco --checkpoint outputs/resnet152block5-pif-paf-edge401-190412-121848.pkl --long-edge=641 --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.682
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.877
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.746
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.643
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.740
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.728
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.900
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.783
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.678
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.798
python -m openpifpaf.eval_coco --checkpoint outputs/resnet152block5-pif-paf-edge401-190412-121848.pkl --long-edge=641 --loader-workers=8 --dataset=test-dev --write-predictions --all-images
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.670
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.883
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.739
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.632
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.726
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.725
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.911
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.785
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.671
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.798
time CUDA_VISIBLE_DEVICES=1 python -m openpifpaf.eval_coco --checkpoint resnet50 --long-edge=641 --all-images --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.633
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.848
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.693
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.603
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.681
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.694
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.886
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.749
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.647
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.760
Decoder 0: decoder time = 168.98903698846698s
total processing time = 374.1286737918854s
time CUDA_VISIBLE_DEVICES=1 python -m openpifpaf.eval_coco --checkpoint resnet101 --long-edge=641 --all-images --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.660
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.859
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.721
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.621
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.719
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.714
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.892
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.768
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.664
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.785
Decoder 0: decoder time = 158.98870043922216s
total processing time = 486.5417158603668s
time CUDA_VISIBLE_DEVICES=1 python -m openpifpaf.eval_coco --checkpoint resnet152 --long-edge=641 --all-images --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.676
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.865
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.740
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.637
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.735
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.728
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.896
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.784
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.678
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.798
Decoder 0: decoder time = 137.40693471115083s
total processing time = 595.8605711460114s
time CUDA_VISIBLE_DEVICES=1 python -m openpifpaf.eval_coco --checkpoint resnet50 --long-edge=641 --all-images --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.633
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.850
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.695
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.603
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.682
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.692
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.885
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.747
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.646
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.758
Decoder 0: decoder time = 178.62342172674835s
total processing time = 384.1026601791382s
time CUDA_VISIBLE_DEVICES=1 python -m openpifpaf.eval_coco --checkpoint resnet101 --long-edge=641 --all-images --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.664
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.861
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.729
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.626
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.722
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.718
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.896
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.775
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.666
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.790
Decoder 0: decoder time = 167.94371821917593s
total processing time = 495.8108365535736s
time CUDA_VISIBLE_DEVICES=1 python -m openpifpaf.eval_coco --checkpoint resnet152 --long-edge=641 --all-images --loader-workers=8
:
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.677
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.868
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.744
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.641
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.735
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.729
Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.900
Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.788
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.680
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.798
Decoder 0: decoder time = 159.6303431801498s
total processing time = 620.2563769817352s