More Feature Version

Object Detection application right in your browser. Serving YOLOv5 in browser using tensorflow.js with webgl backend.

Setup

git clone https://github.com/Hyuto/yolov5-tfjs.git
cd yolov5-tfjs
yarn install #Install dependencies

Scripts

yarn start # Start dev server
yarn build # Build for productions

YOLOv5n model converted to tensorflow.js.

used model : yolov5n
size       : 7.5 Mb

Use another model

Use another YOLOv5 model.

1. Clone yolov5 repository

   git clone https://github.com/ultralytics/yolov5.git && cd yolov5

   Install requirements.txt first

   pip install -r requirements.txt

2. Export model to tensorflow.js format

   export.py --weights yolov5*.pt --include tfjs

3. Copy yolov5*_web_model to ./public

4. Update modelName in App.jsx to new model name

   ...
   // model configs
   const modelName = "yolov5*"; // change to new model name
   const classThreshold = 0.25;
   ...

5. Done! 😊

https://github.com/ultralytics/yolov5