Detection Pose , Face and Hands

This code snippet demonstrates the usage of the mediapipe library to visualize pose estimation and hand/face landmarks detection using the Holistic model. The program processes an image,video and camera , draws various landmarks on it, and displays the result in an adjustable window. Those examples focuses on visualizing facial contours, hand landmarks, and body pose connections of a person .

And a finger-counting detector .

Optional steps to implement

1. Use Dockerfile
2. Use virtual enviroments and apply requirements.txt

#virtual enviroment with conda 
conda create -n my_enviroment python=3.11.4

pip install -r requirements.txt