How to change camera input device in tmImage?

Question

I was recently making a simple image detection AI with Google Teachable Machine, and I got a lot of things working, but I have one problem. I can't change the camera input device. I had Iriun Webcam installed and no matter what I did It didn't wanted to switch to other inputs (I changed the opera gx camera settings). And when I blocked, or removed the Iriun webcam, it didn't show anything, It asked for camera permissions then nothing happened. I used the example code from google teachable machine. Can anyone help?

The part where the camera is setted up:

        webcam = new tmImage.Webcam(1280, 720, flip); // width, height, flip
        await webcam.setup(); // request access to the webcam
        await webcam.play();
        window.requestAnimationFrame(loop);

the full code:

<div>Teachable Machine Image Model</div>
<button type="button" onclick="init()">Start</button>
<div id="webcam-container"></div>
<div id="label-container"></div>
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/[email protected]/dist/tf.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@teachablemachine/[email protected]/dist/teachablemachine-image.min.js"></script>
<script type="text/javascript">
    // More API functions here:
    // https://github.com/googlecreativelab/teachablemachine-community/tree/master/libraries/image

    // the link to your model provided by Teachable Machine export panel
    const URL = "https://teachablemachine.withgoogle.com/models/sDyEbFFcX/";

    let model, webcam, labelContainer, maxPredictions;

    // Load the image model and setup the webcam
    async function init() {
        const modelURL = URL + "model.json";
        const metadataURL = URL + "metadata.json";

        // load the model and metadata
        // Refer to tmImage.loadFromFiles() in the API to support files from a file picker
        // or files from your local hard drive
        // Note: the pose library adds "tmImage" object to your window (window.tmImage)
        model = await tmImage.load(modelURL, metadataURL);
        maxPredictions = model.getTotalClasses();

        // Convenience function to setup a webcam
        const flip = false; // whether to flip the webcam
        webcam = new tmImage.Webcam(1280, 720, flip); // width, height, flip
        await webcam.setup(); // request access to the webcam
        await webcam.play();
        window.requestAnimationFrame(loop);

        // append elements to the DOM
        document.getElementById("webcam-container").appendChild(webcam.canvas);
        labelContainer = document.getElementById("label-container");
        for (let i = 0; i < maxPredictions; i++) { // and class labels
            labelContainer.appendChild(document.createElement("div"));
        }
    }

    async function loop() {
        webcam.update(); // update the webcam frame
        await predict();
        window.requestAnimationFrame(loop);
    }

    // run the webcam image through the image model
    async function predict() {
        // predict can take in an image, video or canvas html element
        const prediction = await model.predict(webcam.canvas);
        for (let i = 0; i < maxPredictions; i++) {
            const classPrediction =
                prediction[i].className + ": " + prediction[i].probability.toFixed(2);
            labelContainer.childNodes[i].innerHTML = classPrediction;
        }
    }
</script>

Answer 1

To get the list of devices...

const devices = await navigator.mediaDevices.enumerateDevices()

This will return an array of devices

[{
  "deviceId": "927e6cff81c17cab69ff195ff834495e2e9a3945a05cffa2a8d2fd47a531f143",
  "kind": "videoinput",
  "label": "FaceTime HD Camera",
  "groupId": "931edb62c53b8899ce3c93efe5a4c372da72b13e4c505611f4c33276f7ed02ec"
}]

Use the deviceId to setup the camera

const webcam = new tmImage.Webcam(1280, 720, false);
await webcam.setup({ deviceId: devices[0].deviceId })
await webcam.play();
window.requestAnimationFrame(loop);