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processing","tensorflowjs"],"repository":{"type":"git","url":"git+https://github.com/w-okada/image-analyze-workers.git"},"author":{"name":"wataru.okada@flect.co.jp"},"bugs":{"url":"https://github.com/w-okada/image-analyze-workers/issues"},"license":"Apache-2.0","readme":"# Google meet person segmentation\n\n![image](https://user-images.githubusercontent.com/48346627/104487132-0b101180-5610-11eb-8182-b1be3470c9c9.png)\n\n## Install\n```\n## install\n$ npm install @dannadori/googlemeet-segmentation-worker-js\n$ cp node_modules/@dannadori/googlemeet-segmentation-worker-js/dist/googlemeet-segmentation-worker-worker.js public/\n$ cp node_modules/\\@tensorflow/tfjs-backend-wasm/dist/tfjs-backend-wasm.wasm public/\n\n## download model\n$ mkdir public/google-segmentation\n$ # curl https://flect-lab-web.s3-us-west-2.amazonaws.com/googlemeet/googlemeet-segmentation_128_32/model.json > public/google-segmentation/model.json\n$ # curl https://flect-lab-web.s3-us-west-2.amazonaws.com/googlemeet/googlemeet-segmentation_128_32/group1-shard1of1.bin > public/google-segmentation/group1-shard1of1.bin\n```\nTemporary, the model files are not available from above URL. Please get them from web.\n\n\n## API\n\n```\nexport declare const generateGoogleMeetSegmentationDefaultConfig: () => GoogleMeetSegmentationConfig;\nexport declare const generateDefaultGoogleMeetSegmentationParams: () => GoogleMeetSegmentationOperationParams;\nexport declare const createForegroundImage: (srcCanvas: HTMLCanvasElement, prediction: number[][][]) => ImageD\n\nexport declare class GoogleMeetSegmentationWorkerManager {\n    init(config: GoogleMeetSegmentationConfig | null): Promise<void>;\n    predict(targetCanvas: HTMLCanvasElement, params?: GoogleMeetSegmentationOperationParams): Promise<number[][]>;\n}\n\n```\n\n## Configuration and Parameter\n\n```\n\nexport interface GoogleMeetSegmentationConfig{\n    browserType         : BrowserType\n    processOnLocal      : boolean\n    useTFWasmBackend    : boolean\n    wasmPath            : string\n    modelPath           : string\n    workerPath          : string\n}\n\n\nexport interface GoogleMeetSegmentationOperationParams{\n    type                : GoogleMeetSegmentationFunctionType\n    processWidth        : number\n    processHeight       : number\n    smoothingS          : number\n    smoothingR          : number\n    jbfWidth            : number\n    jbfHeight           : number\n\n    staticMemory        : boolean\n    lightWrapping       : boolean\n    smoothingType       : GoogleMeetSegmentationSmoothingType\n\n    originalWidth       : number\n    originalHeight      : number\n    \n}\n\nexport enum GoogleMeetSegmentationFunctionType{\n    Segmentation,\n    xxx, // Not implemented\n}\n\nexport enum GoogleMeetSegmentationSmoothingType{\n    GPU,\n    JS,\n    WASM,\n    JS_CANVAS,\n}\n\n```\n\n## Step by step\n### Create environment and install package\n```\n$ npx create-react-app 011demo_googlemeet-segmentation-worker-js-demo3  --template typescript\n$ cd demo/\n$ npm install\n$ npm install @dannadori/googlemeet-segmentation-worker-js\n$ cp node_modules/@dannadori/googlemeet-segmentation-worker-js/dist/googlemeet-segmentation-worker-worker.js public/\n```\n\n### Download Model\n```\n$ mkdir public/google-segmentation\n$ curl https://flect-lab-web.s3-us-west-2.amazonaws.com/googlemeet-segmentation_128_32/model.json > public/google-segmentation/model.json\n$ curl https://flect-lab-web.s3-us-west-2.amazonaws.com/googlemeet-segmentation_128_32/group1-shard1of1.bin > public/google-segmentation/group1-shard1of1.bin\n```\n\n### Add source image to public. \nIn this time, the name is \"srcImage.jpg\"\n\n### Edit src/App.tsx\nSample code is here.\n\n```\nimport React from 'react';\nimport './App.css';\nimport { createForegroundImage, generateDefaultGoogleMeetSegmentationParams, generateGoogleMeetSegmentationDefaultConfig, GoogleMeetSegmentationWorkerManager } from '@dannadori/googlemeet-segmentation-worker-js'\n\nclass App extends React.Component{\n  \n  manager = new GoogleMeetSegmentationWorkerManager()\n                \n  config = (()=>{\n    const c = generateGoogleMeetSegmentationDefaultConfig()\n    c.useTFWasmBackend = false\n    c.wasmPath = \"\"\n    c.modelPath=\"/google-segmentation/model.json\"\n    c.processOnLocal=true\n    return c\n  })()\n  params = (()=>{\n    const p = generateDefaultGoogleMeetSegmentationParams()\n    p.processHeight=128\n    p.processWidth=128\n    return p\n  })()\n\n\n  srcCanvas = document.createElement(\"canvas\")\n  dstCanvas = document.createElement(\"canvas\")\n\n  componentDidMount = () =>{\n    document.getRootNode().lastChild!.appendChild(this.srcCanvas)\n    document.getRootNode().lastChild!.appendChild(this.dstCanvas)\n    const srcImage = document.createElement(\"img\")\n    srcImage.onload = () =>{\n      this.manager.init(this.config).then(()=>{\n        this.srcCanvas.getContext(\"2d\")!.drawImage(\n          srcImage, 0, 0, this.srcCanvas.width, this.dstCanvas.height)\n        return this.manager.predict(this.srcCanvas, this.params)\n      }).then((res)=>{\n        if(res){\n          console.log(\"res is good\")\n          const foreground = createForegroundImage(this.srcCanvas, res)\n          this.dstCanvas.getContext(\"2d\")!.putImageData(foreground, 0, 0)\n          this.srcCanvas.getContext(\"2d\")!.drawImage(this.dstCanvas, 0, 0, this.srcCanvas.width, this.srcCanvas.height)\n        }else{\n          console.log(\"res is not\")\n        }\n      })\n    }\n    srcImage.src = \"./srcImage.jpg\"\n  }\n\n  render = ()=>{\n    return (\n      <div className=\"App\">\n      </div>\n    );\n  }\n}\n\nexport default App;\n```\n\n### build and start\n\n```\n$ npm run start\n```\n\n\n\n\n","readmeFilename":"README.md","description":"![image](https://user-images.githubusercontent.com/48346627/104487132-0b101180-5610-11eb-8182-b1be3470c9c9.png)"}