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retinaface-wasm
Advanced tools
Running the Retinaface face recognition algorithm in browser or wechat mini program.
This is a WASM implementation of the Retinaface face detection algorithm. It is based on the Retinaface paper.
本模块支持微信小程序且不依赖任何第三方库, 可直接使用! (手动 brotli 压缩 wasm 文件和拷贝 index.ts 代码即可)
npm install retinaface-wasm
import Retinaface, { getWasmFile, env } from 'retinaface-wasm'
import imagePath from './R.jpg'
const wasm = await WebAssembly.instantiateStreaming(fetch('https://cdn.jsdelivr.net/npm/retinaface-wasm/wasm/' + getWasmFile()), env)
const retinaface = new Retinaface(wasm.instance)
const image = new Image()
image.src = imagePath
await new Promise((resolve, reject) => {
image.onload = resolve
image.onerror = reject
})
const [data, scale] = retinaface.processImage(image)
const result = retinaface.detect(data, scale)
console.log(result)
retinaface.close()
node -e "fs.writeFileSync('retinaface-basic.wasm.br', zlib.brotliCompressSync(fs.readFileSync('retinaface-basic.wasm')))"
Shirasawa
FAQs
Running the Retinaface face recognition algorithm in browser or wechat mini program.
The npm package retinaface-wasm receives a total of 47 weekly downloads. As such, retinaface-wasm popularity was classified as not popular.
We found that retinaface-wasm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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Product
Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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