yoga pose classification

OpenPose is a multi-person real-time keypoint detection which brought a revolution in the field of pose estimation. It was invented in Carnegie Mellon University (CMU) by the Perceptual Computing Lab. It uses CNN based architecture to identify facial, hand and foot keypoints of a human body from single images. OpenPose helps identify human body joints using an RGB camera. OpenPose keypoints include eyes, ears, neck, nose, elbows, shoulders, knees, wrists, ankles and hips.