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Real-time body, face and hand gesture detection from live webcam feed - A Computer Vision and Image Processing project.

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Real-time-Face-hand-body-gesture-detection

Real-time body, face and hand gesture detection from live webcam feed - A Computer Vision and Image Processing project. This project demonstrates real-time detection of body poses, faces, and hand landmarks using MediaPipe and OpenCV. It captures live video feed from a webcam and processes it to display detected keypoints.

Features

Real-time hand detection and landmark drawing Real-time face detection Real-time body pose detection and landmark drawing

Requirements

Python 3.x OpenCV MediaPipe

Project Structure

21BTRCL078 PREETHA S gesture detection.ipynb: The main notebook file that captures webcam feed and processes it using MediaPipe and OpenCV.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

MediaPipe OpenCV

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Real-time body, face and hand gesture detection from live webcam feed - A Computer Vision and Image Processing project.

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