/Salah-Analysis-using-Mediapipe-and-OpenCV-with-Creative-and-User-Friendly-GUI

This project is a Python-based solution for real-time detection and tracking of different poses of Salah using the Mediapipe library and Graphical User Interface (GUI). It uses the pose estimation model provided by Mediapipe to detect the 33 keypoints of the human body, including the head, neck, shoulders, elbows, wrists, hips, knees, and ankles.

Primary LanguagePythonMIT LicenseMIT

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