Package Exports

darknet

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (darknet) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

Darknet.JS

Just when you thought the world was beautiful, I put YOLO into JavaScript.

Installation

Note: due to some node ffi issues, this project only works with Node version <=8.11.2. If you're happy with that, go ahead and run the command:

npm install darknet

If've cloned the repo and you want to run the examples, issue the command:

npm install

Usage

To create an instance of darknet.js, you need a three things. The trained weights, the configuration file they were trained with and a list of the names of all the classes.

import { Darknet } from 'darknet';

// Init
let darknet = new Darknet({
    weights: './cats.weights',
    config: './cats.cfg',
    names: [ 'dog', 'cat' ]
});

// Detect
console.log(darknet.detect('/image/of/a/dog/.jpg'));

Example configuration

You can download pre-trained weights and configuration from pjreddie's website. The latest version (yolov3-tiny) is linked below:

If you don't want to download that stuff manually, navigate to the examples directory and issue the ./example command. This will download the necessary files and run some detections.

Async

By default, darknet.js will run the detections synchronously. If this isn't your style, you can run detections asynchronously, using the detectAsync method.

darknet.detectAsync('/image/of/a/dog/.jpg')
    .then(detections => console.log(detections));

Unfortunately only Promises are supported at this time, but support for callbacks will be coming soon.

darknet