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processWidth        : number\n    processHeight       : number\n    kernelSize          : number\n    useSoftmax          : boolean\n    usePadding          : boolean\n    threshold           : number\n    useSIMD             : boolean\n}\n\nexport enum GoogleMeetSegmentationTFLiteFunctionType{\n    Segmentation,\n    xxx, // Not implemented\n}\n\n\n```\n\n## Step by step\n### Create environment and install package\n```\n$ npx create-react-app demo --template typescript\n$ cd demo/\n$ npm install\n$ npm install @dannadori/googlemeet-segmentation-tflite-worker-js\n$ cp node_modules/\\@dannadori/googlemeet-segmentation-tflite-worker-js/dist/googlemeet-segmentation-tflite-worker-worker.js public/\n$ mkdir -p public/static/js/\n$ cp node_modules/\\@dannadori/googlemeet-segmentation-tflite-worker-js/resources/tflite.wasm public/static/js\n$ cp node_modules/\\@dannadori/googlemeet-segmentation-tflite-worker-js/resources/tflite-simd.wasm public/static/js\n$ cp node_modules/\\@dannadori/googlemeet-segmentation-tflite-worker-js/resources/tflite_for_safari.wasm public/static/js\n\n```\n\n### Download Model\nGoogle Meet Segmentation Model is used to under APACHE-2.0 License, but now it is not. I'm not a lawyer, and I don't know much about it, but I generally believe that license changes do not apply retroactively to previous deliverables. However, you should obtain the model at your own risk.\nFor example, there are the converted model at the model PINTO's zoo. \n\nDetail descussion is here ([issue](https://github.com/tensorflow/tfjs/issues/4177)).\n\nOnce you have obtained the model in a legitimate way, place it in the folder below.\n\n```\n$ cp meet.tflite public/meet.tflite\n```\n\nCurrently(27th/Apr./2021) MLKit Selfie Segmentation model is published under Apache-2.0. 256x256\n[modelcard](https://developers.google.com/ml-kit/images/vision/selfie-segmentation/selfie-model-card.pdf)\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, { useEffect, useState } from 'react';\nimport './App.css';\nimport { generateDefaultGoogleMeetSegmentationTFLiteParams, generateGoogleMeetSegmentationTFLiteDefaultConfig, GoogleMeetSegmentationTFLiteWorkerManager } from \"@dannadori/googlemeet-segmentation-tflite-worker-js\"\nimport { GoogleMeetSegmentationTFLiteConfig, GoogleMeetSegmentationTFLiteOperationParams } from '@dannadori/googlemeet-segmentation-tflite-worker-js/dist/const';\n\n\ninterface WorkerProps {\n    manager: GoogleMeetSegmentationTFLiteWorkerManager\n    params : GoogleMeetSegmentationTFLiteOperationParams\n    config : GoogleMeetSegmentationTFLiteConfig\n}\n\nconst App = () => {\n    const [workerProps, setWorkerProps] = useState<WorkerProps>()\n\n    useEffect(()=>{\n        const init = async () =>{\n            const m = workerProps? workerProps.manager : new GoogleMeetSegmentationTFLiteWorkerManager()\n            const c = generateGoogleMeetSegmentationTFLiteDefaultConfig()\n            c.processOnLocal = true\n            c.modelPath = \"./meet.tflite\"\n            await m.init(c)\n    \n            const p = generateDefaultGoogleMeetSegmentationTFLiteParams()\n            p.processWidth  = 256\n            p.processHeight = 256\n            p.kernelSize    = 0\n            p.useSoftmax    = true\n            p.usePadding    = false\n            p.threshold     = 0.5\n            p.useSIMD       = false\n            const newProps = {manager:m, config:c, params:p}\n            setWorkerProps(newProps)\n        }\n        init()\n    }, [])\n\n    useEffect(()=>{\n        const input = document.getElementById(\"input\") \n        resizeDst(input!)\n    })\n\n    const resizeDst = (input:HTMLElement) =>{\n        const cs = getComputedStyle(input)\n        const width = parseInt(cs.getPropertyValue(\"width\"))\n        const height = parseInt(cs.getPropertyValue(\"height\"))\n        const dst = document.getElementById(\"output\") as HTMLCanvasElement\n        \n        [dst].forEach((c)=>{\n            c.width = width\n            c.height = height\n        })\n    }\n\n    useEffect(()=>{\n        console.log(\"[Pipeline] Start\", workerProps)\n        let renderRequestId:number\n        const render = async () => {\n            console.log(\"pipeline...\", workerProps)\n            if(workerProps){\n                console.log(\"pipeline...1\")\n                const src = document.getElementById(\"input\") as HTMLImageElement\n                const dst = document.getElementById(\"output\") as HTMLCanvasElement\n                const tmp = document.getElementById(\"tmp\") as HTMLCanvasElement\n                let prediction = await workerProps.manager.predict(src!, workerProps.params)\n\n                // 結果からマスク作成\n                const res = new ImageData(workerProps.params.processWidth, workerProps.params.processHeight)\n                for(let i = 0;i < workerProps.params.processWidth * workerProps.params.processHeight; i++){\n                    res.data[i * 4 + 0] = 0\n                    res.data[i * 4 + 1] = 0\n                    res.data[i * 4 + 2] = 0\n                    res.data[i * 4 + 3] = prediction![i]\n                }\n\n                tmp.width  = workerProps.params.processWidth \n                tmp.height = workerProps.params.processHeight\n                tmp.getContext(\"2d\")!.putImageData(res, 0, 0)\n\n                dst.getContext(\"2d\")!.clearRect(0, 0, dst.width, dst.height)\n                dst.getContext(\"2d\")!.drawImage(tmp, 0, 0, dst.width, dst.height)\n\n                renderRequestId = requestAnimationFrame(render)\n            }\n        }\n        render()\n        return ()=>{\n            cancelAnimationFrame(renderRequestId)\n        }\n    }, [workerProps])\n\n\n\n\n    /////////////\n    // render  //\n    /////////////\n    return (\n        <div>\n            <div style={{display:\"flex\"}}>\n                <div style={{display:\"flex\"}}>\n                    <img    width=\"300px\" height=\"300px\" id=\"input\" src=\"srcImage.jpg\"></img>\n                    <canvas width=\"300px\" height=\"300px\" id=\"output\"></canvas>\n                    <canvas width=\"300px\" height=\"300px\" id=\"tmp\" hidden></canvas>\n                </div>\n            </div>\n        </div>\n        );\n}\n\nexport default App;\n\n```\n\n### build and start\n\n```\n$ npm run start\n```\n\n\n\n","readmeFilename":"README.md","description":"![image](https://user-images.githubusercontent.com/48346627/110603124-03ad5480-81ca-11eb-993f-f7bf1f857b42.png)"}