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    Detect faces in images. Without native modules. It uses tracking.js.

    ☁️ Installation

    # Using npm 
    npm install --save face-detectify
    # Using yarn 
    yarn add face-detectify

    📋 Example

    const FaceDetectify = require("face-detectify");
    FaceDetectify.fromFile(`${__dirname}/example.jpg`).then(res => {
        // => { data: [ { total: 1, width: 39, height: 39, x: 1038, y: 0 } ] }

    ❓ Get Help

    There are few ways to get help:

    1. Please post questions on Stack Overflow. You can open issues with questions, as long you add a link to your Stack Overflow question.
    2. For bug reports and feature requests, open issues. 🐛
    3. For direct and quick help, you can use Codementor. 🚀

    📝 Documentation

    fromBuffer(buffer, width, height, cb)

    Process a buffer.


    • Buffer buffer: The image buffer.
    • Number width: The width.
    • Number height: The height.
    • Function cb: The callback function.


    • EvenEmitter The ObjectTracker instance created by tracking.


    Process a file.


    • String filePath: The file path to the image.


    • Promise A promise resolving with the following object: - data (Array): An array of objects representing the positions of the faces in the image:
      • total (Number)
      • width (Number)
      • height (Number)
      • x (Number)
      • y (Number)

    😋 How to contribute

    Have an idea? Found a bug? See how to contribute.

    💖 Support my projects

    I open-source almost everything I can, and I try to reply to everyone needing help using these projects. Obviously, this takes time. You can integrate and use these projects in your applications for free! You can even change the source code and redistribute (even resell it).

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    Thanks! ❤️

    💫 Where is this library used?

    If you are using this library in one of your projects, add it in this list. ✨

    • smartcrop-tracking-cli

    📜 License

    MIT © Ionică Bizău


    npm i face-detectify

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    • ionicabizau