mmpose/configs/hand_2d_keypoint/topdown_regression

Top-down regression-based pose estimation

Top-down methods divide the task into two stages: object detection, followed by single-object pose estimation given object bounding boxes. At the 2nd stage, regression based methods directly regress the keypoint coordinates given the features extracted from the bounding box area, following the paradigm introduced in Deeppose: Human pose estimation via deep neural networks.

Results and Models

OneHand10K Dataset

Results on OneHand10K val set

Model	Input Size	PCK@0.2	AUC	EPE	Details and Download
ResNet-50	256x256	0.990	0.485	34.21	resnet_onehand10k.md

RHD Dataset

Results on RHD test set

Model	Input Size	PCK@0.2	AUC	EPE	Details and Download
ResNet-50	256x256	0.988	0.865	3.32	resnet_rhd2d.md