DJW cdece0b32a 第一次提交 10 mesi fa
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coco_wholebody_hand cdece0b32a 第一次提交 10 mesi fa
freihand2d cdece0b32a 第一次提交 10 mesi fa
onehand10k cdece0b32a 第一次提交 10 mesi fa
rhd2d cdece0b32a 第一次提交 10 mesi fa
README.md cdece0b32a 第一次提交 10 mesi fa

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