WebRTC object recognition example with TensorFlow.js

Example of WebRTC video stream image recognition in browser with TensorFlow.js

Online demo

Online demo

Tutorial

This tutorial explains in details how this example works.

Screenshots

Prerequisites

• Python 3
• PIP
• Virtualenv

Installation

• Create virtualenvironment virtualenv -p python3 env
• Activate the environment source env/bin/activate
• Install Python dependencies pip install -r requirements.txt
• Run the script to create a Keras model python makemodel.py
• Convert the model into Tensorflow.js format tensorflowjs_converter --input_format keras ./model.h5 ./jsmodel/
• Open test.html in your browser. In order for WebRTC to work the page should be opened on https or via http from localhost. If you have PHP installed it's the easiest would be to do php -S 127.0.0.1:8077 and open http://127.0.0.1:8077 in your browser.