DJW cdece0b32a 第一次提交 10 miesięcy temu
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coco_wholebody_hand cdece0b32a 第一次提交 10 miesięcy temu
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README.md cdece0b32a 第一次提交 10 miesięcy temu

README.md

Top-down heatmap-based pose estimation

Top-down methods divide the task into two stages: object detection, followed by single-object pose estimation given object bounding boxes. Instead of estimating keypoint coordinates directly, the pose estimator will produce heatmaps which represent the likelihood of being a keypoint, following the paradigm introduced in Simple Baselines for Human Pose Estimation and Tracking.

Results and Models

COCO-WholeBody-Hand Dataset

Results on COCO-WholeBody-Hand val set

Model Input Size PCK@0.2 AUC EPE Details and Download
HRNetv2-w18+Dark 256x256 0.814 0.840 4.37 hrnetv2_dark_coco_wholebody_hand.md
HRNetv2-w18 256x256 0.813 0.840 4.39 hrnetv2_coco_wholebody_hand.md
HourglassNet 256x256 0.804 0.835 4.54 hourglass_coco_wholebody_hand.md
SCNet-50 256x256 0.803 0.834 4.55 scnet_coco_wholebody_hand.md
ResNet-50 256x256 0.800 0.833 4.64 resnet_coco_wholebody_hand.md
LiteHRNet-18 256x256 0.795 0.830 4.77 litehrnet_coco_wholebody_hand.md
MobileNet-v2 256x256 0.795 0.829 4.77 mobilenetv2_coco_wholebody_hand.md

FreiHand Dataset

Results on FreiHand val & test set

Model Input Size PCK@0.2 AUC EPE Details and Download
ResNet-50 224x224 0.999 0.868 3.27 resnet_freihand2d.md

OneHand10K Dataset

Results on OneHand10K val set

Model Input Size PCK@0.2 AUC EPE Details and Download
HRNetv2-w18+Dark 256x256 0.990 0.572 23.96 hrnetv2_dark_onehand10k.md
HRNetv2-w18+UDP 256x256 0.990 0.571 23.88 hrnetv2_udp_onehand10k.md
HRNetv2-w18 256x256 0.990 0.567 24.26 hrnetv2_onehand10k.md
ResNet-50 256x256 0.989 0.555 25.16 resnet_onehand10k.md
MobileNet-v2 256x256 0.986 0.537 28.56 mobilenetv2_onehand10k.md

RHD Dataset

Results on RHD test set

Model Input Size PCK@0.2 AUC EPE Details and Download
HRNetv2-w18+Dark 256x256 0.992 0.903 2.18 hrnetv2_dark_rhd2d.md
HRNetv2-w18+UDP 256x256 0.992 0.902 2.19 hrnetv2_udp_rhd2d.md
HRNetv2-w18 256x256 0.992 0.902 2.21 hrnetv2_rhd2d.md
ResNet-50 256x256 0.991 0.898 2.32 resnet_rhd2d.md
MobileNet-v2 256x256 0.985 0.883 2.79 mobilenetv2_rhd2d.md