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Commit 83d51e42 by vincent
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adjust examples to changes

parent 2ae76364
Showing with 42 additions and 47 deletions
examples/views/faceDetection.html
<!DOCTYPE html>
<html>
<head>
<script src="face-recognition.min.js"></script>
<script src="face-recognition.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script>
<link rel="stylesheet" href="styles.css">
......@@ -16,7 +16,7 @@
<div class="indeterminate"></div>
</div>
<div style="position: relative" class="margin">
<img id="img" src="" style="max-width: 800px;" />
<img id="inputImg" src="" style="max-width: 800px;" />
<canvas id="overlay" />
</div>
<div class="row side-by-side">
......@@ -57,22 +57,19 @@
}
async function updateResults() {
const imgEl = $(`#img`).get(0)
result = await net.locateFaces(
await facerecognition.mediaSrcToImageData(imgEl.src),
minConfidence
)
const input = new facerecognition.NetInput('inputImg')
const { width, height } = input
const canvas = $('#overlay').get(0)
const width = $(`#img`).width()
const height = $(`#img`).height()
canvas.width = width
canvas.height = height
result = await net.locateFaces(input, minConfidence)
facerecognition.drawDetection('overlay', result.map(det => det.forSize(width, height)))
}
async function onSelectionChanged(uri) {
const imgBuf = await fetchImage(uri)
$(`#img`).get(0).src = await facerecognition.bufferToImgSrc(imgBuf)
$(`#inputImg`).get(0).src = (await facerecognition.bufferToImage(imgBuf)).src
updateResults()
}
......
examples/views/faceDetectionVideo.html
<!DOCTYPE html>
<html>
<head>
<script src="face-recognition.min.js"></script>
<script src="face-recognition.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script>
<link rel="stylesheet" href="styles.css">
......@@ -38,6 +38,16 @@
<i class="material-icons left">+</i>
</button>
</div>
<div class="row side-by-side">
<div class="row">
<label for="time">Time:</label>
<input disabled value="-" id="time" type="text" class="bold">
</div>
<div class="row">
<label for="fps">Estimated Fps:</label>
<input disabled value="-" id="fps" type="text" class="bold">
</div>
</div>
</div>
<script>
......@@ -47,37 +57,32 @@
function onIncreaseThreshold() {
minConfidence = Math.min(facerecognition.round(minConfidence + 0.1), 1.0)
$('#minConfidence').val(minConfidence)
updateResults()
}
function onDecreaseThreshold() {
minConfidence = Math.max(facerecognition.round(minConfidence - 0.1), 0.1)
$('#minConfidence').val(minConfidence)
updateResults()
}
function displayTimeStats(timeInMs) {
$('#time').val(`${timeInMs} ms`)
$('#fps').val(`${facerecognition.round(1000 / timeInMs)}`)
}
async function onPlay(videoEl) {
if(videoEl.paused || videoEl.ended)
return false
console.time('frame')
const width = $(videoEl).innerWidth()
const height = $(videoEl).innerHeight()
videoEl.width = width
videoEl.height = height
const input = new facerecognition.NetInput(videoEl)
const { width, height } = input
const canvas = $('#overlay').get(0)
canvas.width = width
canvas.height = height
const fromPixelsCanvas = document.createElement('canvas')
fromPixelsCanvas.width = videoEl.width
fromPixelsCanvas.height = videoEl.height
fromPixelsCanvas.getContext('2d').drawImage(
videoEl, 0, 0, videoEl.width, videoEl.height)
const ts = Date.now()
result = await net.locateFaces(input, minConfidence)
displayTimeStats(Date.now() - ts)
result = await net.locateFaces(fromPixelsCanvas, minConfidence)
console.timeEnd('frame')
console.log(facerecognition.tf.memory())
facerecognition.drawDetection('overlay', result.map(det => det.forSize(width, height)))
setTimeout(() => onPlay(videoEl))
}
......
examples/views/faceRecognition.html
<!DOCTYPE html>
<html>
<head>
<script src="face-recognition.min.js"></script>
<script src="face-recognition.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script>
<link rel="stylesheet" href="styles.css">
......@@ -108,10 +108,10 @@
getImg().src = src
}
async function loadTrainingData(cb) {
async function loadTrainingImages() {
return await Promise.all(classes.map(
async className => ({
imgData: await facerecognition.bufferToImageData(
img: await facerecognition.bufferToImage(
await fetchImage(getFaceImageUri(className, 1))
),
className
......@@ -135,16 +135,14 @@
async function runFaceRecognition() {
async function next() {
const imgBuf = await fetchImage(getFaceImageUri(classes[currClassIdx], currImageIdx))
const input = await facerecognition.bufferToImage(imgBuf)
const imgEl = $('#face').get(0)
imgEl.src = await facerecognition.bufferToImgSrc(imgBuf)
const imageData = await facerecognition.mediaSrcToImageData(imgEl.src)
imgEl.src = input.src
const ts = Date.now()
const result = await net.forward(imageData)
const descriptor = await net.computeFaceDescriptor(input)
displayTimeStats(Date.now() - ts)
const descriptor = await result.data()
const bestMatch = getBestMatch(descriptor)
$('#prediction').val(`${bestMatch.distance < threshold ? bestMatch.className : 'unkown'} (${bestMatch.distance})`)
......@@ -166,10 +164,10 @@
net = await initFaceRecognitionNet()
setStatusText('computing initial descriptors...')
const trainImgDatas = await loadTrainingData()
trainDescriptorsByClass = await Promise.all(trainImgDatas.map(
async ({ className, imgData }) => ({
descriptor: await net.computeFaceDescriptor(imgData),
const trainImgs = await loadTrainingImages()
trainDescriptorsByClass = await Promise.all(trainImgs.map(
async ({ className, img }) => ({
descriptor: await net.computeFaceDescriptor(img),
className
})
))
......
examples/views/faceSimilarity.html
<!DOCTYPE html>
<html>
<head>
<script src="face-recognition.min.js"></script>
<script src="face-recognition.js"></script>
<script src="axios.min.js"></script>
<script src="commons.js"></script>
<link rel="stylesheet" href="styles.css">
......@@ -53,17 +53,12 @@
$('#distance').css('background-color', bgColor)
}
async function computeDescriptorFromSrc(imgEl) {
return net.computeFaceDescriptor(
await facerecognition.mediaSrcToImageData(imgEl.src)
)
}
async function onSelectionChanged(which, uri) {
const imgBuf = await fetchImage(uri)
const input = await facerecognition.bufferToImage(imgBuf)
const imgEl = $(`#face${which}`).get(0)
imgEl.src = await facerecognition.bufferToImgSrc(imgBuf)
descriptors[`desc${which}`] = await computeDescriptorFromSrc(imgEl)
imgEl.src = input.src
descriptors[`desc${which}`] = await net.computeFaceDescriptor(input)
}
async function run() {
......
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