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TeachableMachine_video_localfile.html
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TeachableMachine_video_localfile.html
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<!--
Author : ChungYi Fu (Kaohsiung, Taiwan) 2021/8/7 17:00
https://www.facebook.com/francefu
Try it!
https://fustyles.github.io/webduino/TensorFlow/TeachableMachine_video/TeachableMachine_video_localfile.html
-->
<!DOCTYPE html>
<head>
<title>Teachable Machine</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@1.3.1/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@0.8/dist/teachablemachine-image.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/pose@0.8/dist/teachablemachine-pose.min.js"></script>
</head>
<body>
Local video file : <input id="selectVideo" type="file" accept="video/*"/>
<br>
<video id="video" width="320" height="240" src="" preload autoplay loop muted controls></video>
<br>
<br>
<canvas id="canvas" style="display:none"></canvas>
<br>
<table>
<tr>
<td>Model：</td>
<td>
<select id="Type">
<option value="pose">pose</option>
<option value="image">image</option>
</select>
</td>
</tr>
<tr>
<td>Model URL：</td>
<td><input type="text" id="modelPath" size="40" value=""></td>
</tr>
<tr>
<td>Flip Horizontal：</td>
<td><input type="checkbox" id="flipHorizontal"></td>
</tr>
<tr>
<td><a href="https://teachablemachine.withgoogle.com/train/" target="_blank">Train Model</a></td>
<td><button type="button" onclick="LoadModel()">Start Recognition</button></td>
</tr>
</table>
<br>
<div id="message"></div>
<div id="result" style="color:red"></div>
<script type="text/javascript">
var video = document.getElementById('video');
var canvas = document.getElementById('canvas');
var context = canvas.getContext('2d');
var selectVideo = document.getElementById('selectVideo');
var modelPath = document.getElementById('modelPath');
var result = document.getElementById('result');
var Type = document.getElementById('Type');
var flipHorizontal = document.getElementById('flipHorizontal');
let model;
async function LoadModel() {
if (modelPath.value=="") {
result.innerHTML = "Please input Model Link.";
return;
}
else
result.innerHTML = "Please wait for loading model.";
const URL = modelPath.value;
const modelURL = URL + "model.json";
const metadataURL = URL + "metadata.json";
try {
if (Type.value=="image") {
model = await tmImage.load(modelURL, metadataURL);
}
else if (Type.value=="pose") {
model = await tmPose.load(modelURL, metadataURL);
}
maxPredictions = model.getTotalClasses();
result.innerHTML = "";
predict();
}
catch (e){
result.innerHTML = "Loading model failed.";
}
}
async function predict() {
if (flipHorizontal.checked) {
context.translate((canvas.width + video.width) / 2, 0);
context.scale(-1, 1);
context.drawImage(video, 0, 0, video.width, video.height);
context.setTransform(1, 0, 0, 1, 0, 0);
}
else
context.drawImage(video, 0, 0, video.width, video.height);
var data = "";
var maxClassName = "";
var maxProbability = "";
if (Type.value=="image")
var prediction = await model.predict(canvas);
else if (Type.value=="pose") {
var { pose, posenetOutput } = await model.estimatePose(canvas);
var prediction = await model.predict(posenetOutput);
}
if (maxPredictions>0) {
for (let i = 0; i < maxPredictions; i++) {
if (i==0) {
maxClassName = prediction[i].className;
maxProbability = prediction[i].probability;
}
else {
if (prediction[i].probability>maxProbability) {
maxClassName = prediction[i].className;
maxProbability = prediction[i].probability;
}
}
data += prediction[i].className + ": " + prediction[i].probability.toFixed(2) + "<br>";
}
result.innerHTML = data + "<br>Max Probability : <br>" + maxClassName + ", " + maxProbability.toFixed(2);
}
else
result.innerHTML = "";
setTimeout(function(){predict(); }, 100);
}
selectVideo.onchange = function (event) {
var target = event.target || window.event.srcElement;
var files = target.files;
if (files && files.length) {
var file = files[0];
if (video.canPlayType(file.type)!="") {
var fileURL = URL.createObjectURL(file);
video.src = fileURL;
}
else
result.innerHTML = "The file type is not supported.";
}
}
video.addEventListener( "loadedmetadata", function () {
canvas.setAttribute("width", video.videoWidth);
canvas.setAttribute("height", video.videoHeight);
}, false );
</script>
</body>
</html>