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This repo contains the code needed to build an object detection web app using TensorFlow.js and React. The app, uses the computer's webcam stream to perform real-time object detections in every frame it receives.

The model featured in the app, is a pre-trained COCO SSD system.

Only a browser and a local web server.

To launch the web app, go to the root directory of the app, and launch a web server. An easy way to create a one is with Python, using the following command $ python3 -m http.server or $ python -m SimpleHTTPServer if you're using Python 2.

Once the server is up and running, open your browser, and go to http://localhost:8000/, and you'll be greeted by a prompt window requesting permission to access the webcam. Upon accepting said request, wait a bit until the model is downloaded and voila, rejoice with the glory of out-of-the-box deep learning. Have fun!

Replace the model file url in detect.js with your model.json url let MODEL_URL = 'REPLACE_ME'

For a complete tutorial, and a theory lesson about the model and what's under the hood, please refer to the following link: In-Browser Object Detection Using Tensorflow.js