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);