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@paddlejs-models/humanseg
Advanced tools
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.
npm install
npm run dev
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);
// 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);
image human segmentation:https://paddlejs.baidu.com/humanseg
video-streaming human segmentation:https://paddlejs.baidu.com/humanStream
FAQs
[中文版](./README_cn.md)
The npm package @paddlejs-models/humanseg receives a total of 7 weekly downloads. As such, @paddlejs-models/humanseg popularity was classified as not popular.
We found that @paddlejs-models/humanseg demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 5 open source maintainers collaborating on the project.
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