![]() The original models provided by 3d-pose-baseline and VideoPose3D use Human3.6M 17-joint skeleton as input format (See bvh_skeleton/h36m_skeleton.py), but OpenPose's detection result are 25-joint (See OpenPose output.md). Note to turn on the BUILD_PYTHON flag while building. OpenPose: See OpenPose offical installation.md for help.bvh_skeleton: This module includes the function that estimates skeleton information from 3D pose, converts 3D pose to joint angle and write motion data to bvh file.We slightly modificate the original implementation. VideoPose3D: This model is proposed by Dario Pavllo, Christoph Feichtenhofer, David Grangier, and Michael Auli in CVPR 2019.Its original implementation is based on TensorFlow, and we reimplemented it using PyTorch. 3d-pose-baseline: This model is proposed by Julieta Martinez, Rayat Hossain, Javier Romero, and James J.pose_estimator_3d: We provide 2 models to estimate 3D human pose. ![]() It can detect 2D joint keypoints accurately at real-time speed.
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