Moving weights. Adding train script

This commit is contained in:
watsonb8 2020-11-08 15:33:07 -05:00
parent cff0229e6f
commit e1902a362e
23 changed files with 489 additions and 33 deletions

1
.gitignore vendored
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@ -109,3 +109,4 @@ dist
images/*
bin
out

48
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377
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"resolved": "https://registry.npmjs.org/rc/-/rc-1.2.8.tgz",
@ -675,6 +949,11 @@
"util-deprecate": "~1.0.1"
}
},
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}
},
"sprintf-js": {
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@ -815,11 +1121,28 @@
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}
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"arg": "^4.1.0",
"diff": "^4.0.1",
"make-error": "^1.1.1",
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"yn": "3.1.1"
}
},
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}
}
}

View File

@ -19,10 +19,13 @@
"author": "Brandon Watson",
"license": "ISC",
"dependencies": {
"@tensorflow/tfjs": "^2.6.0",
"@tensorflow/tfjs-node": "^2.6.0",
"@vladmandic/face-api": "^0.8.8",
"canvas": "^2.6.1",
"copyfiles": "^2.4.0",
"face-api.js": "^0.22.2",
"node-rtsp-stream": "0.0.9",
"rtsp-stream": "file:../rtsp-stream"
"rtsp-stream": "file:../rtsp-stream",
"ts-node": "^9.0.0",
"typescript": "^4.0.5"
}
}

87
scripts/train.ts Normal file
View File

@ -0,0 +1,87 @@
import * as faceapi from "@vladmandic/face-api";
import canvas from "canvas";
import fs from "fs";
import * as path from "path";
import { TNetInput } from "@vladmandic/face-api";
require("@tensorflow/tfjs-node");
const { Canvas, Image, ImageData } = canvas;
//@ts-ignore
faceapi.env.monkeyPatch({ Canvas, Image, ImageData });
const REFERENCE_IMAGE =
"/Users/brandonwatson/Documents/Git/Gitea/homebridge-face-location/images/brandon/IMG_1958.jpg";
const QUERY_IMAGE =
"/Users/brandonwatson/Documents/Git/Gitea/homebridge-face-location/images/brandon/IMG_0001.JPG";
const main = async () => {
const faceDetectionNet = faceapi.nets.ssdMobilenetv1;
await faceDetectionNet.loadFromDisk(path.join(__dirname, "../weights"));
await faceapi.nets.faceLandmark68Net.loadFromDisk(
path.join(__dirname, "../weights")
);
await faceapi.nets.faceRecognitionNet.loadFromDisk(
path.join(__dirname, "../weights")
);
const referenceImage = (await canvas.loadImage(REFERENCE_IMAGE)) as unknown;
const queryImage = (await canvas.loadImage(QUERY_IMAGE)) as unknown;
const options = getFaceDetectorOptions(faceDetectionNet);
const resultsRef = await faceapi
.detectAllFaces(referenceImage as TNetInput, options)
.withFaceLandmarks()
.withFaceDescriptors();
const resultsQuery = await faceapi
.detectAllFaces(queryImage as TNetInput, options)
.withFaceLandmarks()
.withFaceDescriptors();
const faceMatcher = new faceapi.FaceMatcher(resultsRef);
const labels = faceMatcher.labeledDescriptors.map((ld) => ld.label);
const refDrawBoxes = resultsRef
.map((res) => res.detection.box)
.map((box, i) => new faceapi.draw.DrawBox(box, { label: labels[i] }));
const outRef = faceapi.createCanvasFromMedia(referenceImage as ImageData);
refDrawBoxes.forEach((drawBox) => drawBox.draw(outRef));
saveFile("referenceImage.jpg", (outRef as any).toBuffer("image/jpeg"));
const queryDrawBoxes = resultsQuery.map((res) => {
const bestMatch = faceMatcher.findBestMatch(res.descriptor);
return new faceapi.draw.DrawBox(res.detection.box, {
label: bestMatch.toString(),
});
});
const outQuery = faceapi.createCanvasFromMedia(queryImage as ImageData);
queryDrawBoxes.forEach((drawBox) => drawBox.draw(outQuery));
saveFile("queryImage.jpg", (outQuery as any).toBuffer("image/jpeg"));
console.log("done, saved results to out/queryImage.jpg");
};
// SsdMobilenetv1Options
const minConfidence = 0.5;
// TinyFaceDetectorOptions
const inputSize = 408;
const scoreThreshold = 0.5;
function getFaceDetectorOptions(net: faceapi.NeuralNetwork<any>) {
return net === faceapi.nets.ssdMobilenetv1
? new faceapi.SsdMobilenetv1Options({ minConfidence })
: new faceapi.TinyFaceDetectorOptions({ inputSize, scoreThreshold });
}
const baseDir = path.resolve(__dirname, "../out");
function saveFile(fileName: string, buf: Buffer) {
if (!fs.existsSync(baseDir)) {
fs.mkdirSync(baseDir);
}
fs.writeFileSync(path.resolve(baseDir, fileName), buf);
}
main();