npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

meanshift

v1.0.0

Published

Wrapper for meanshift algorithm implemented by Halil I. CUCE with minor modifications.

Downloads

76

Readme

Meanshift for Node JS

This package is a wrapper of the C++ Meanshift Algorithm implementation by Halil I. CUCE with minor modifications. The Meanshift Algorithm is useful for object tracking in computer vision applications.

Install

npm install meanshift

Usage

var Meanshift = require('meanshift');

var ImageWidth = 320;
var ImageHeight = 240;
var imageData = new Buffer(320*240*3);

//... put image data in buffer here...

var meanshift = new Meanshift.Meanshift(ImageWidth, ImageHeight, Meanshift.ImageType.MD_RGB);

//Set the object to be tracked current position
meanshift.initObject(objectCenterX, objectCenterY, objectWidth, objectHeight);

var center = meanshift.track(imageData, 5 /* Optionally pass iterations, default is 5 */);

// center = { x, y }
// Go to next frame

var newCenter = meanshift.track(imageData);

// And so on

Documentation

See typings file below:

declare namespace meanshift {

  /**
   * Image formats 
   * 
   * @enum {number}
   */
  enum ImageType {
    MD_RGB = 0,
    MD_RGBA = 1,
    MD_YUV = 2,
    MD_WAVELET = 3
  }

  /**
   * Position of tracked object 
   * 
   * @interface Point
   */
  interface Point {
    x: number;
    y: number;
  }

  /**
   * Meanshift algorithm class 
   * 
   * @class Meanshift
   */
  class Meanshift {

    /**
     * Creates an instance of Meanshift.
     * 
     * @param {number} imageWidth Image width
     * @param {number} imageHeight Image height
     * @param {ImageType} imageType Format of image
     */
    constructor(imageWidth: number, imageHeight: number, imageType: ImageType);

    /**
     * Tell meanshift the initial position of the object you are trying to track
     * 
     * @param {number} x Center x position of object to be tracked
     * @param {number} y Center y position of object to be tracked
     * @param {number} width Width of object to be tracked
     * @param {number} height Height of object to be tracked
     */
    initObject(x: number, y: number, width: number, height: number): void;

    /**
     * Find the new position of the object
     * 
     * @param {Buffer} imageData Buffer containing image data in format specified by imageType in the constructor
     * @param {number} [iterations] Number of iterations to algorithm should run for. Default is 5.
     * @returns {Point} Found position of object
     */
    track(imageData: Buffer, iterations?: number): Point;

  }
}

declare module 'meanshift' {
  export = meanshift;
}