Taimur Ijlal

Intelligence artificielle (IA) et apprentissage automatique pour les débutants absolus 2023

<p><img style="margin-left:auto;margin-right:auto;" src="https://static.skillshare.com/cdn-cgi/image/quality=80,width=1000,format=auto/uploads/project/876f4bfe22977511c4280da66289b749/0d30f6aa.png" alt="American Sign Language - image 1 - student project" srcset="https://static.skillshare.com/cdn-cgi/image/quality=80,width=600,format=auto/uploads/project/876f4bfe22977511c4280da66289b749/0d30f6aa.png 600w, https://static.skillshare.com/cdn-cgi/image/quality=80,width=1000,format=auto/uploads/project/876f4bfe22977511c4280da66289b749/0d30f6aa.png 1000w" sizes="(max-width: 600px) 600px, 100vw" loading="lazy"></p>
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<p>https://teachablemachine.withgoogle.com/models/p4Wu2ewYm/</p>
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<p></p><div>Teachable Machine Image Model</div><br><button type="button" onclick="init()">Start</button><br><div id="webcam-container"></div><br><div id="label-container"></div><br><script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest/dist/tf.min.js"></script><br><script src="https://cdn.jsdelivr.net/npm/@teachablemachine/image@latest/dist/teachablemachine-image.min.js"></script><br><script type="text/javascript"><br> // More API functions here:<br> // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image
<p>// the link to your model provided by Teachable Machine export panel<br> const URL = "https://teachablemachine.withgoogle.com/models/p4Wu2ewYm/";
<p>let model, webcam, labelContainer, maxPredictions;
<p>// Load the image model and setup the webcam<br> async function init() {<br> const modelURL = URL + "model.json";<br> const metadataURL = URL + "metadata.json";
<p>// load the model and metadata<br> // Refer to tmImage.loadFromFiles() in the API to support files from a file picker<br> // or files from your local hard drive<br> // Note: the pose library adds "tmImage" object to your window (window.tmImage)<br> model = await tmImage.load(modelURL, metadataURL);<br> maxPredictions = model.getTotalClasses();
<p>// Convenience function to setup a webcam<br> const flip = true; // whether to flip the webcam<br> webcam = new tmImage.Webcam(200, 200, flip); // width, height, flip<br> await webcam.setup(); // request access to the webcam<br> await webcam.play();<br> window.requestAnimationFrame(loop);
<p>// append elements to the DOM<br> document.getElementById("webcam-container").appendChild(webcam.canvas);<br> labelContainer = document.getElementById("label-container");<br> for (let i = 0; i < maxPredictions; i++) { // and class labels<br> labelContainer.appendChild(document.createElement("div"));<br> }<br> }
<p>async function loop() {<br> webcam.update(); // update the webcam frame<br> await predict();<br> window.requestAnimationFrame(loop);<br> }
<p>// run the webcam image through the image model<br> async function predict() {<br> // predict can take in an image, video or canvas html element<br> const prediction = await model.predict(webcam.canvas);<br> for (let i = 0; i < maxPredictions; i++) {<br> const classPrediction =<br> prediction[i].className + ": " + prediction[i].probability.toFixed(2);<br> labelContainer.childNodes[i].innerHTML = classPrediction;<br> }<br> }<br></script>


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