Commit b7def9f2 by vincent

added some tooling to retrain the face landmark model

parent 160fbccd
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{
"scripts": {
"start": "node server.js"
},
"author": "justadudewhohacks",
"license": "MIT",
"dependencies": {
"express": "^4.16.3",
"file-saver": "^1.3.8"
}
}
async function promiseSequential(promises) {
const curr = promises[0]
if (!curr) {
return
}
await curr()
return promiseSequential(promises.slice(1))
}
async function trainStep(batchCreators) {
await promiseSequential(batchCreators.map((batchCreator, dataIdx) => async () => {
const { batchInput, landmarksBatchTensor } = await batchCreator()
let ts = Date.now()
const cost = optimizer.minimize(() => {
const out = window.trainNet.forwardInput(batchInput.managed())
const loss = lossFunction(
landmarksBatchTensor,
out
)
return loss
}, true)
ts = Date.now() - ts
console.log(`loss[${dataIdx}]: ${await cost.data()}, ${ts} ms (${ts / batchInput.batchSize} ms / batch element)`)
landmarksBatchTensor.dispose()
cost.dispose()
await tf.nextFrame()
}))
}
function createBatchCreators(data, batchSize) {
if (batchSize < 1) {
throw new Error('invalid batch size: ' + batchSize)
}
const batches = []
const pushToBatch = (remaining) => {
if (remaining.length) {
batches.push(remaining.slice(0, batchSize))
pushToBatch(remaining.slice(batchSize))
}
return batches
}
pushToBatch(data)
const batchCreators = batches.map(dataForBatch => async () => {
const imgs = dataForBatch.map(d => d.img)
const allLandmarks = dataForBatch.map(d => landmarkPositionsToArray(d.landmarks))
const batchInput = await faceapi.toNetInput(imgs)
const landmarksBatchTensor = tf.tidy(() => {
const landmarkTensors = allLandmarks.map(arr => tf.tensor2d(arr, [1, 136]))
return tf.stack(landmarkTensors, 0).as2D(-1, 136)
})
return {
batchInput,
landmarksBatchTensor
}
})
return batchCreators
}
function landmarkPositionsToArray(landmarks) {
return landmarks.getRelativePositions().map(pt => [pt.x, pt.y])
.reduce((flat, arr) => flat.concat(arr))
}
function toFaceLandmarks(landmarks, { naturalWidth, naturalHeight }) {
return new faceapi.FaceLandmarks(
landmarks.map(l => new faceapi.Point(l.x / naturalWidth, l.y / naturalHeight)),
{ width: naturalWidth, height: naturalHeight }
)
}
async function loadImagesInBatch(allLandmarks, offset = 0) {
return Promise.all(allLandmarks.map(async (landmarks, i) => {
const imgUri = `/train_images/${i + offset}.png`
const img = await faceapi.bufferToImage(await fetchImage(imgUri))
return {
imgUri,
img,
landmarks: toFaceLandmarks(landmarks, img)
}
}))
}
async function getTrainData() {
const landmarksJson = (await (await fetch('/train_landmarks.json')).json())
const numLandmarks = Object.keys(landmarksJson).length
const allLandmarks = Array.from(
new Array(numLandmarks),
(_, i) => landmarksJson[i]
)
const batch1 = await loadImagesInBatch(allLandmarks.slice(0, 4000))
const batch2 = await loadImagesInBatch(allLandmarks.slice(4000), 4000)
return batch1.concat(batch2)
}
// https://stackoverflow.com/questions/6274339/how-can-i-shuffle-an-array
function shuffle(a) {
var j, x, i;
for (i = a.length - 1; i > 0; i--) {
j = Math.floor(Math.random() * (i + 1));
x = a[i];
a[i] = a[j];
a[j] = x;
}
return a;
}
\ No newline at end of file
function onKeyDown(e) {
e.target.value = (
parseInt(e.target.value) + (e.keyCode === 38 ? 1 : (e.keyCode === 40 ? -1 : 0))
) || e.target.value || 0
const uri = '/train_images/' + e.target.value + '.png'
console.log(uri)
onSelectionChanged(uri)
}
function onChangeDrawLines(e) {
window.drawLines = $(e.target).prop('checked')
redraw()
}
async function onSelectionChanged(uri) {
const imgBuf = await fetchImage(uri)
window.currentImg = await faceapi.bufferToImage(imgBuf)
window.landmarks = await Promise.all(window.nets.map(
async net => net.detectLandmarks(window.currentImg)
))
redraw(uri)
}
function drawLandmarkCanvas(img, landmarks, drawOpts) {
const canvas = faceapi.createCanvasFromMedia(img)
$('#faceContainer').append(canvas)
faceapi.drawLandmarks(
canvas,
landmarks,
drawOpts
)
}
function redraw(uri) {
$('#faceContainer').empty()
const drawOpts = { lineWidth: window.drawLines ? 2 : 4, drawLines: window.drawLines }
window.landmarks.forEach(landmarks => {
drawLandmarkCanvas(window.currentImg, landmarks, drawOpts)
})
const trainImgAndLandmarks = window.trainData.find(t => t.imgUri === uri)
if (trainImgAndLandmarks) {
drawLandmarkCanvas(trainImgAndLandmarks.img, trainImgAndLandmarks.landmarks, drawOpts)
}
}
async function loadNet(file) {
const res = await fetch(file)
const weights = new Float32Array(await res.arrayBuffer())
return faceapi.faceLandmarkNet(weights)
}
async function init() {
//await faceapi.loadFaceLandmarkModel('/')
//window.nets.push(faceapi.landmarkNet)
//window.nets.push(await loadNet('retrained/landmarks_v0.weights'))
//window.nets.push(await loadNet('retrained/landmarks_v2.weights'))
window.trainNet = await loadNet('retrained/landmarks_v6.weights')
window.nets.push(trainNet)
$('#loader').hide()
await run()
await onSelectionChanged($('#selectList select').val())
}
$(document).ready(function() {
$('#imgByNr').keydown(onKeyDown);
renderFaceImageSelectList(
'#selectList',
onSelectionChanged,
{ className: 'sheldon', imageIdx: 1 }
)
init()
})
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require('./.env')
const express = require('express')
const path = require('path')
const app = express()
const viewsDir = path.join(__dirname, 'views')
app.use(express.static(viewsDir))
app.use(express.static(path.join(__dirname, './public')))
app.use(express.static(path.join(__dirname, './tmp')))
app.use(express.static(path.join(__dirname, './node_modules/file-saver')))
app.use(express.static(path.join(__dirname, '../../examples/public')))
app.use(express.static(path.join(__dirname, '../../weights')))
app.use(express.static(path.join(__dirname, '../../dist')))
const trainDataPath = path.resolve(process.env.TRAIN_DATA_PATH)
app.use(express.static(trainDataPath))
app.get('/', (req, res) => res.redirect('/face_landmarks'))
app.get('/face_landmarks', (req, res) => res.sendFile(path.join(viewsDir, 'faceLandmarks.html')))
app.listen(3000, () => console.log('Listening on port 3000!'))
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<!DOCTYPE html>
<html>
<head>
<link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
<script type="text/javascript" src="https://code.jquery.com/jquery-2.1.1.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/js/materialize.min.js"></script>
<script src="face-api.js"></script>
<script src="commons.js"></script>
<script src="faceLandmarksUi.js"></script>
<script src="faceLandmarksTrain.js"></script>
<script src="FileSaver.js"></script>
</head>
<body>
<div id="navbar"></div>
<div class="center-content page-container">
<div>
<div class="progress" id="loader">
<div class="indeterminate"></div>
</div>
<div class="row side-by-side">
<div class="center-content">
<div id="faceContainer"></div>
<div id="selectList"></div>
</div>
</div>
<p>
<input type="checkbox" id="drawLinesCheckbox" checked="checked" onchange="onChangeDrawLines(event)" />
<label for="drawLinesCheckbox">Draw Lines</label>
</p>
<div class="row">
<label for="imgByNr">Enter image NR: </label>
<input id="imgByNr" type="text" class="bold">
</div>
</div>
</div>
<script>
tf = faceapi.tf
window.saveEveryNthIteration = 2
window.drawLines = true
window.nets = []
window.landmarks = []
window.trainSteps = 100
window.learningRate = 0.01
//window.optimizer = tf.train.sgd(learningRate)
window.optimizer = tf.train.adam(0.001, 0.9, 0.999, 1e-8)
function lossFunction(labels, out) {
return tf.losses.meanSquaredError(labels, out)
}
async function run() {
window.trainData = await getTrainData()
window.trainNet.variable()
return
await train()
}
async function train(batchSize = 10) {
for (let i = 0; i < trainSteps; i++) {
console.log('step', i)
const batchCreators = createBatchCreators(shuffle(window.trainData), batchSize)
let ts = Date.now()
await trainStep(batchCreators)
ts = Date.now() - ts
console.log('step %s done (%s ms)', i, ts)
if (((i + 1) % saveEveryNthIteration) === 0) {
saveWeights(i)
}
}
}
function saveWeights(idx = 0) {
const binaryWeights = new Float32Array(
window.trainNet.getParamList()
.map(({ tensor }) => Array.from(tensor.dataSync()))
.reduce((flat, arr) => flat.concat(arr))
)
saveAs(new Blob([binaryWeights]), 'landmark_trained_weights_' + idx + '.weights')
}
</script>
</body>
</html>
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