OpenPose is a real-time system for multi-person 2D pose estimation using part affinity fields. It uses a bottom-up approach with convolutional neural networks to first detect body keypoints for each person and then assemble the keypoints into full body poses. OpenPose runs in real-time at 20 frames per second and uses part affinity fields to encode pairwise relations between body joints to group j
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