streamlit-mediapipe-hands-tracking

A Streamlit app for Google MediaPipe Hands.

MediaPipe is a suite of cross-platform, customizable ML solutions for live and streaming media. One of the provided solutions is an high-fidelity hand and finger tracking.
This Streamlit web app allows hands tracking in static images. Mediapipe supports also video and live hands-tracking, but these features aren't yet covered by this demo app. Mediapipe hands tracking can be configured through this app UI through the following params:

• Max number of hands to track: Mediapipe can track up to 4 hands in a single image or frame. Default for this app is set to 2.
• Minimum detection confidence. Default is set to 50%.
• Show/Hide Mediapipe classification results (index, score and label in JSON format). Default is set to False.

Setup for running the app

Anaconda and Python 3.7+ are required.

• Clone this repo.
• From the root directory of the project, create a conda virtual environment: conda env create -f environment.yml
• Activate the newly created virtual environment: conda activate streamlit-mediapipe-hands
• Run the app: streamlit run app.py
• Open a web browser and go to http://localhost:8501