openpose and keras_Realtime_Multi-Person_Pose_Estimation
The second tool is a Keras implementation of the real-time multi-person pose estimation project, making it an ecosystem sibling or re-implementation of the original OpenPose library.
About openpose
CMU-Perceptual-Computing-Lab/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
This project helps you automatically detect and track human body, face, and hand movements in real-time from videos, webcams, or images. It takes visual input and outputs detailed skeletal or keypoint data (like elbow, nose, or fingertip positions) for multiple people. Researchers in human-computer interaction, sports scientists, or animators can use this to analyze or reproduce human motion.
About keras_Realtime_Multi-Person_Pose_Estimation
michalfaber/keras_Realtime_Multi-Person_Pose_Estimation
Keras version of Realtime Multi-Person Pose Estimation project
This project helps you identify and track human poses in images and videos. It takes an image or video as input and outputs the location of key body points (like joints) for multiple people in real-time. This is ideal for researchers and developers working on computer vision applications that require understanding human movement.
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