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Commit e908bbd8 by vincent
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init age gender example + some fixes

parent 7cbd7500
Showing with 195 additions and 6 deletions
examples/examples-browser/public/js/commons.js
...@@ -37,6 +37,10 @@ function renderNavBar(navbarId, exampleUri) { ...@@ -37,6 +37,10 @@ function renderNavBar(navbarId, exampleUri) {
name: 'Face Expression Recognition' name: 'Face Expression Recognition'
}, },
{ {
uri: 'age_and_gender_recognition',
name: 'Age and Gender Recognition'
},
{
uri: 'face_recognition', uri: 'face_recognition',
name: 'Face Recognition' name: 'Face Recognition'
}, },
......
examples/examples-browser/server.js
...@@ -19,6 +19,7 @@ app.get('/', (req, res) => res.redirect('/face_detection')) ...@@ -19,6 +19,7 @@ app.get('/', (req, res) => res.redirect('/face_detection'))
app.get('/face_detection', (req, res) => res.sendFile(path.join(viewsDir, 'faceDetection.html'))) app.get('/face_detection', (req, res) => res.sendFile(path.join(viewsDir, 'faceDetection.html')))
app.get('/face_landmark_detection', (req, res) => res.sendFile(path.join(viewsDir, 'faceLandmarkDetection.html'))) app.get('/face_landmark_detection', (req, res) => res.sendFile(path.join(viewsDir, 'faceLandmarkDetection.html')))
app.get('/face_expression_recognition', (req, res) => res.sendFile(path.join(viewsDir, 'faceExpressionRecognition.html'))) app.get('/face_expression_recognition', (req, res) => res.sendFile(path.join(viewsDir, 'faceExpressionRecognition.html')))
app.get('/age_and_gender_recognition', (req, res) => res.sendFile(path.join(viewsDir, 'ageAndGenderRecognition.html')))
app.get('/face_extraction', (req, res) => res.sendFile(path.join(viewsDir, 'faceExtraction.html'))) app.get('/face_extraction', (req, res) => res.sendFile(path.join(viewsDir, 'faceExtraction.html')))
app.get('/face_recognition', (req, res) => res.sendFile(path.join(viewsDir, 'faceRecognition.html'))) app.get('/face_recognition', (req, res) => res.sendFile(path.join(viewsDir, 'faceRecognition.html')))
app.get('/video_face_tracking', (req, res) => res.sendFile(path.join(viewsDir, 'videoFaceTracking.html'))) app.get('/video_face_tracking', (req, res) => res.sendFile(path.join(viewsDir, 'videoFaceTracking.html')))
......
examples/examples-browser/views/ageAndGenderRecognition.html 0 → 100644
<!DOCTYPE html>
<html>
<head>
<script src="face-api.js"></script>
<script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script>
<script src="js/imageSelectionControls.js"></script>
<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>
</head>
<body>
<div id="navbar"></div>
<div class="center-content page-container">
<div class="progress" id="loader">
<div class="indeterminate"></div>
</div>
<div style="position: relative" class="margin">
<img id="inputImg" src="" style="max-width: 800px;" />
<canvas id="overlay" />
</div>
<div class="row side-by-side">
<!-- image_selection_control -->
<div id="selectList"></div>
<div class="row">
<label for="imgUrlInput">Get image from URL:</label>
<input id="imgUrlInput" type="text" class="bold">
</div>
<button
class="waves-effect waves-light btn"
onclick="loadImageFromUrl()"
>
Ok
</button>
<!-- image_selection_control -->
</div>
<div class="row side-by-side">
<!-- face_detector_selection_control -->
<div id="face_detector_selection_control" class="row input-field" style="margin-right: 20px;">
<select id="selectFaceDetector">
<option value="ssd_mobilenetv1">SSD Mobilenet V1</option>
<option value="tiny_face_detector">Tiny Face Detector</option>
<option value="mtcnn">MTCNN</option>
</select>
<label>Select Face Detector</label>
</div>
<!-- face_detector_selection_control -->
</div>
<!-- ssd_mobilenetv1_controls -->
<span id="ssd_mobilenetv1_controls">
<div class="row side-by-side">
<div class="row">
<label for="minConfidence">Min Confidence:</label>
<input disabled value="0.5" id="minConfidence" type="text" class="bold">
</div>
<button
class="waves-effect waves-light btn"
onclick="onDecreaseMinConfidence()"
>
<i class="material-icons left">-</i>
</button>
<button
class="waves-effect waves-light btn"
onclick="onIncreaseMinConfidence()"
>
<i class="material-icons left">+</i>
</button>
</div>
</span>
<!-- ssd_mobilenetv1_controls -->
<!-- tiny_face_detector_controls -->
<span id="tiny_face_detector_controls">
<div class="row side-by-side">
<div class="row input-field" style="margin-right: 20px;">
<select id="inputSize">
<option value="" disabled selected>Input Size:</option>
<option value="160">160 x 160</option>
<option value="224">224 x 224</option>
<option value="320">320 x 320</option>
<option value="416">416 x 416</option>
<option value="512">512 x 512</option>
<option value="608">608 x 608</option>
</select>
<label>Input Size</label>
</div>
<div class="row">
<label for="scoreThreshold">Score Threshold:</label>
<input disabled value="0.5" id="scoreThreshold" type="text" class="bold">
</div>
<button
class="waves-effect waves-light btn"
onclick="onDecreaseScoreThreshold()"
>
<i class="material-icons left">-</i>
</button>
<button
class="waves-effect waves-light btn"
onclick="onIncreaseScoreThreshold()"
>
<i class="material-icons left">+</i>
</button>
</div>
</span>
<!-- tiny_face_detector_controls -->
<!-- mtcnn_controls -->
<span id="mtcnn_controls">
<div class="row side-by-side">
<div class="row">
<label for="minFaceSize">Minimum Face Size:</label>
<input disabled value="20" id="minFaceSize" type="text" class="bold">
</div>
<button
class="waves-effect waves-light btn"
onclick="onDecreaseMinFaceSize()"
>
<i class="material-icons left">-</i>
</button>
<button
class="waves-effect waves-light btn"
onclick="onIncreaseMinFaceSize()"
>
<i class="material-icons left">+</i>
</button>
</div>
</span>
<!-- mtcnn_controls -->
</body>
<script>
window.net = new faceapi.AgeGenderNet()
async function updateResults() {
if (!isFaceDetectionModelLoaded()) {
return
}
const inputImgEl = $('#inputImg').get(0)
const options = getFaceDetectorOptions()
const result = await faceapi.detectSingleFace(inputImgEl, options)
if (!result) return
const face = (await faceapi.extractFaces(inputImgEl, [result]))[0]
const { age, gender, genderProbability } = await window.net.predictAgeAndGender(face)
console.log('age', age)
console.log('gender', gender, genderProbability)
}
async function run() {
// load face detection and face expression recognition models
await changeFaceDetector(SSD_MOBILENETV1)
const weights = await faceapi.fetchNetWeights('tmp/age_gender.weights')
console.log(weights.length)
await window.net.load(weights)
// start processing image
updateResults()
}
$(document).ready(function() {
renderNavBar('#navbar', 'age_and_gender_recognition')
initImageSelectionControls('happy.jpg', true)
initFaceDetectionControls()
run()
})
</script>
</body>
</html>
\ No newline at end of file
src/ageGenderNet/AgeGenderNet.ts
...@@ -34,9 +34,9 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> { ...@@ -34,9 +34,9 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> {
? this.faceFeatureExtractor.forwardInput(input) ? this.faceFeatureExtractor.forwardInput(input)
: input : input
const bottleneckFeatures2d = bottleneckFeatures.as2D(bottleneckFeatures.shape[0], -1) const pooled = tf.avgPool(bottleneckFeatures, [7, 7], [2, 2], 'valid').as2D(bottleneckFeatures.shape[0], -1)
const age = fullyConnectedLayer(bottleneckFeatures2d, params.fc.age).as1D() const age = fullyConnectedLayer(pooled, params.fc.age).as1D()
const gender = fullyConnectedLayer(bottleneckFeatures2d, params.fc.gender) const gender = fullyConnectedLayer(pooled, params.fc.gender)
return { age, gender } return { age, gender }
}) })
} }
...@@ -53,8 +53,8 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> { ...@@ -53,8 +53,8 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> {
public async predictAgeAndGender(input: TNetInput): Promise<{ age: number, gender: string, genderProbability: number }> { public async predictAgeAndGender(input: TNetInput): Promise<{ age: number, gender: string, genderProbability: number }> {
const netInput = await toNetInput(input) const netInput = await toNetInput(input)
const out = await this.forwardInput(netInput) const out = await this.forwardInput(netInput)
const age = await out.age.data()[0] as number const age = (await out.age.data())[0]
const probMale = await out.gender.data()[0] as number const probMale = (await out.gender.data())[0]
const isMale = probMale > 0.5 const isMale = probMale > 0.5
const gender = isMale ? 'male' : 'female' const gender = isMale ? 'male' : 'female'
...@@ -93,7 +93,7 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> { ...@@ -93,7 +93,7 @@ export class AgeGenderNet extends NeuralNetwork<NetParams> {
protected extractParams(weights: Float32Array) { protected extractParams(weights: Float32Array) {
const classifierWeightSize = (512 * 1) + (512 * 2) const classifierWeightSize = (512 * 1 + 1) + (512 * 2 + 2)
const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize) const featureExtractorWeights = weights.slice(0, weights.length - classifierWeightSize)
const classifierWeights = weights.slice(weights.length - classifierWeightSize) const classifierWeights = weights.slice(weights.length - classifierWeightSize)
......
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