Paddle.js is a web project for Baidu Paddle, which is an open source deep learning framework running in the browser. Paddle.js can either load a pre-trained model, or transforming a model from paddle-hub with model transforming tools provided by Paddle.js. It could nearly run in every browser with WebGL supported.

    Key Features


    Web project is built on Atom system which is a versatile framework to support GPGPU operation on WebGL. It is quite modular and could be used to make computation tasks faster by utilizing WebGL.

    High Performance

    Web project could run TinyYolo model in less than 30ms on chrome. This is fast enough to run deep learning models in many realtime scenarios.

    Browser Coverage

    • PC: Chrome, firefox
    • Mac: Chrome, Safari
    • Android: Baidu App , UC, Chrome and QQ Browser

    Supported operations

    Currently Paddle.js only supports a limited set of Paddle Ops. See the full list. If your model uses unsupported ops, the Paddle.js script will fail and produce a list of the unsupported ops in your model. Please file issues to let us know what ops you need support with.

    Supported operations Pages

    Loading and running in the browser

    import {runner as Paddlejs} from 'paddlejs';
    const paddlejs = new Paddlejs({
            modelPath: 'model/mobilenetv2', // model path
            fileCount: 4, // model data file count
            feedShape: {  // input shape
                fw: 256,
                fh: 256
            fetchShape: [1, 1, 1920, 10],  // output shape
            fill: '#fff',   // fill color when resize image
            needBatch: true, // whether need to complete the shape to 4 dimension
            inputType: 'image' // whether is image or video
    // load paddlejs model and preheat
    await paddlejs.loadModel();
    // run model
    await paddlejs.predict(img, postProcess);
    function postProcee(data) {
        // data is predicted result

    Please see feed documentation for details.

    Please see fetch documentation for details.

    Run the converter script provided by the pip package:

    The converter expects a Paddlejs SavedModel, Paddle Hub module, paddle.js JSON format for input.

    Web-friendly format

    The conversion script above produces 2 types of files:

    • model.json (the dataflow graph and weight manifest file)
    • group1-shard*of* (collection of binary weight files)

    Preview Demo

    Paddle.js has some pre-converted models to Paddle.js format .There are some demos in the following URL, open a browser page with the demo.

    Supported Demo Pages

    Feedback and Community Support

    • Online video tutorial start video
    • Questions, reports, and suggestions are welcome through Github Issues!
    • Forum: Opinions and questions are welcome at our PaddlePaddle Forum
    • QQ group chat: 696965088


    Paddle.js is an Web project for Baidu Paddle, which is an open source deep learning framework designed to work on web browser. Load a pretrained paddle.js SavedModel or Paddle Hub module into the browser and run inference through Paddle.js. It could run on nearly every browser with WebGL support.

    发行版本 1

    Paddle JS v1.0 release


    贡献者 8


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