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

salient-image

v1.0.2

Published

Image signature: highlighting sparse salient regions

Downloads

11

Readme

salient-image

Simple salient processing on top of node-opencv

H. Xiaodi, H. Jonathan, C. Koch, Image signature: highlighting sparse salient regions, IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1) (2012) 194–200.

pre-requisites

  • opencv

installation

npm install salient-image

examples

Examples

Images

| assets/input.jpg | assets/output.png | assets/output_with_options.png | |---|---|---| | | | |

Code

var salient = require("salient-image");
var cv = require("opencv");

// Without any options
salient("assets/mona.png", function(err, saliency){
  // saliency is an node-opencv floating-point Matrix
  // maximum is 1, minium is 1
  var width = saliency.width(), height =  saliency.height();
  var imgOutput = new cv.Matrix(width, height, cv.Constants.CV_8U);

  // convert floating point to grey scale Matrix
  saliency.convertTo(imgOutput, cv.Constants.CV_8U, 255);
  imgOutput.save("assets/output.png");
  console.log('Image saved to ./assets/output.png');
});

Example with options

var cv = require("node-opencv");

// With options
salient("assets/mona.png", {
    resize : [200, 200], // the resize size
    sigma : 0.045, // the sigma of the gaussian kernel
    gaussianKernel : [11, 11] // the size of the gaussian kernel
  }, function(err, saliency){
    // saliency is an node-opencv floating-point Matrix
    // maximum is 1, minium is 1
    var width = saliency.width(), height =  saliency.height();
    var imgOutput = new cv.Matrix(width, height, cv.Constants.CV_8U);

    // convert floating point to grey scale Matrix
    saliency.convertTo(imgOutput, cv.Constants.CV_8U, 255);
    imgOutput.save("assets/output_with_options.png");
    console.log('Image saved to ./assets/output_with_options.png');
});

With existing opencv image as input

var img = new cv.Matrix(<...>);

salient({
    image : img,
    resize : [200, 200], // the resize size
    sigma : 0.045, // the sigma of the gaussian kernel
    gaussianKernel : [11, 11] // the size of the gaussian kernel
  }, function(err, saliency){ ... });