Hand-Landmarks-Detection-with-MediaPipe

Overview

This project demonstrates how to use MediaPipe Hand-Landmarks-Detection with python for real-time applications.

For detailed examples and code on using MediaPipe's hand landmarker in Python, you can visit the MediaPipe Hand Landmarker Python Examples repository.

Follow these steps to install the project:

Clone the repository
Install the required libries from install.txt
Run mirror_hand_pose.py for realtime hand detection
Run mirror_hand_pose_saveVideo.py for realtime hand detection and save realtime video
Run mirror_hand_pose_image_save.py for realtime hand detection and save realtime video frames as images

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
README.md		README.md
install		install
mirror_hand_pose.py		mirror_hand_pose.py
mirror_hand_pose_saveImage.py		mirror_hand_pose_saveImage.py
mirror_hand_pose_saveVideo.py		mirror_hand_pose_saveVideo.py