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

@paddlejs-models/humanseg

v1.2.3

Published

[中文版](./README_cn.md)

Downloads

24

Readme

中文版

humanseg

A real-time human-segmentation model. You can use it to change background. The output of the model is gray value. Model supplies simple api for users.

Api drawHumanSeg can draw human segmentation with a specified background. Api blurBackground can draw human segmentation with a blurred origin background. Api drawMask can draw the background without human.

Run Demo

  1. Execute in the current directory
npm install
npm run dev
  1. Visit http://0.0.0.0:8866
  2. Visit gpu pipeline http://0.0.0.0:8866/gpu.html

Usage


import * as humanseg from '@paddlejs-models/humanseg';

// load humanseg model, use 398x224 shape model, and preheat
await humanseg.load();

// use 288x160 shape model, preheat and predict faster with a little loss of precision
// await humanseg.load(true, true);

// get the gray value [2, 398, 224] or [2, 288, 160];
const { data } = await humanseg.getGrayValue(img);

// background canvas
const back_canvas = document.getElementById('background') as HTMLCanvasElement;

// draw human segmentation
const canvas1 = document.getElementById('back') as HTMLCanvasElement;
humanseg.drawHumanSeg(data, canvas1, back_canvas) ;

// blur background
const canvas2 = document.getElementById('blur') as HTMLCanvasElement;
humanseg.drawHumanSeg(data, canvas2) ;

// draw the mask with background
const canvas3 = document.getElementById('mask') as HTMLCanvasElement;
humanseg.drawMask(data, canvas3, back_canvas);

gpu pipeline


// 引入 humanseg sdk
import * as humanseg from '@paddlejs-models/humanseg/lib/index_gpu';

// load humanseg model, use 398x224 shape model, and preheat
await humanseg.load();

// use 288x160 shape model, preheat and predict faster with a little loss of precision
// await humanseg.load(true, true);


// background canvas
const back_canvas = document.getElementById('background') as HTMLCanvasElement;

// draw human segmentation
const canvas1 = document.getElementById('back') as HTMLCanvasElement;
await humanseg.drawHumanSeg(input, canvas1, back_canvas) ;

// blur background
const canvas2 = document.getElementById('blur') as HTMLCanvasElement;
await humanseg.drawHumanSeg(input, canvas2) ;

// draw the mask with background
const canvas3 = document.getElementById('mask') as HTMLCanvasElement;
await humanseg.drawMask(input, canvas3, back_canvas);

Online experience

image human segmentation:https://paddlejs.baidu.com/humanseg

video-streaming human segmentation:https://paddlejs.baidu.com/humanStream

Performance

Used in Video Meeting