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virtual-background-js

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rtrm HF staff commited on 28 days ago

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36cb1b4

1 Parent(s): 6a50751

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Files changed (4) hide show

css/style.css +48 -0
images/background.webp +0 -0
index.html +29 -18
js/index.js +160 -0

css/style.css ADDED Viewed

	@@ -0,0 +1,48 @@

+body {
+    margin: 0;
+    padding: 0;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    justify-content: center;
+    height: 100vh;
+    background-color: #f0f0f0;
+}
+#videoContainer {
+    width: 100%;
+    max-width: 600px; /* Adjust the maximum width as needed */
+    position: relative;
+}
+video, canvas {
+    width: 100%;
+    height: auto;
+    border-radius: 1rem;
+}
+img {
+    max-width: 100%;
+    height: auto;
+}
+button {
+    margin: 10px;
+    padding: 10px 20px;
+    font-size: 18px;
+    border-radius: 1rem;
+    border: none;
+    cursor: pointer;
+    background-color: #e3e3e3;
+}
+button:hover {
+    background-color: #1D2026;
+    color: #FFF;
+}
+#errorText {
+    width: 50%;
+    color: red;
+    font-weight: bold;
+}

images/background.webp ADDED Viewed

index.html CHANGED Viewed

@@ -1,19 +1,30 @@
-<!doctype html>
-<html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
 </html>

+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Virtual Background</title>
+    <link rel="stylesheet" href="css/style.css">
+    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs/dist/tf.min.js"></script>
+    <script src="https://cdn.jsdelivr.net/npm/@tensorflow-models/body-pix/dist/body-pix.min.js"></script>
+</head>
+<body>
+    <p id="errorText"></p>
+    <div id="videoContainer">
+        <!-- Create a video element for the webcam feed -->
+        <video id="videoElement" playsinline></video>
+        <!-- Create a canvas element for the background -->
+        <canvas id="backgroundCanvas" playsinline hidden></canvas>
+    </div>
+    <img id="yourBackgroundImage" src="https://i.postimg.cc/t9PJw5P7/forest.jpg" style="display: none;">
+    <button id="startButton">Start Virtual Background</button>
+    <button id="stopButton" style="display: none;">Stop Virtual Background</button>
+    <script src="js/index.js"></script>
+</body>
 </html>

js/index.js ADDED Viewed

	@@ -0,0 +1,160 @@

+// Initialize variables
+let isVirtual = false;
+// DOM elements
+const videoContainer = document.getElementById('videoContainer');
+const videoElement = document.getElementById('videoElement');
+const canvasElement = document.getElementById('backgroundCanvas');
+const backgroundImage = document.getElementById('yourBackgroundImage');
+const ctx = canvasElement.getContext('2d');
+const startButton = document.getElementById('startButton');
+const stopButton = document.getElementById('stopButton');
+const errorText = document.getElementById('errorText');
+ // MobileNetV1 or ResNet50
+const BodyPixModel = 'MobileNetV1';
+async function startWebCamStream() {
+    try {
+        // Start the webcam stream
+        const stream = await navigator.mediaDevices.getUserMedia({ video: true });
+        videoElement.srcObject = stream;
+        // Wait for the video to play
+        await videoElement.play();
+    } catch (error) {
+        displayError(error)
+    }
+}
+// Function to start the virtual background
+async function startVirtualBackground() {
+    try {
+        // Set canvas dimensions to match video dimensions
+        canvasElement.width = videoElement.videoWidth;
+        canvasElement.height = videoElement.videoHeight;
+        // Load the BodyPix model:
+        let net = null;
+        switch (BodyPixModel) {
+            case 'MobileNetV1':
+                /*
+                    This is a lightweight architecture that is suitable for real-time applications and has lower computational requirements.
+                    It provides good performance for most use cases.
+                */
+                net = await bodyPix.load({
+                    architecture: 'MobileNetV1',
+                    outputStride: 16, // Output stride (16 or 32). 16 is faster, 32 is more accurate.
+                    multiplier: 0.75, // The model's depth multiplier. Options: 0.50, 0.75, or 1.0.
+                    quantBytes: 2, // The number of bytes to use for quantization (4 or 2).
+                });
+                break;
+            case 'ResNet50':
+                /*
+                    This is a deeper and more accurate architecture compared to MobileNetV1.
+                    It may provide better segmentation accuracy, but it requires more computational resources and can be slower.
+                */
+                net = await bodyPix.load({
+                    architecture: 'ResNet50',
+                    outputStride: 16, // Output stride (16 or 32). 16 is faster, 32 is more accurate.
+                    quantBytes: 4, // The number of bytes to use for quantization (4 or 2).
+                });
+                break;
+            default:
+                break;
+        }
+        // Start the virtual background loop
+        isVirtual = true;
+        videoElement.hidden = true;
+        canvasElement.hidden = false;
+        display(canvasElement, 'block');
+        // Show the stop button and hide the start button
+        startButton.style.display = 'none';
+        stopButton.style.display = 'block';
+        async function updateCanvas() {
+            if (isVirtual) {
+                // 1. Segmentation Calculation
+                const segmentation = await net.segmentPerson(videoElement, {
+                    flipHorizontal: false, // Whether to flip the input video horizontally
+                    internalResolution: 'medium', // The resolution for internal processing (options: 'low', 'medium', 'high')
+                    segmentationThreshold: 0.7, // Segmentation confidence threshold (0.0 - 1.0)
+                    maxDetections: 10, // Maximum number of detections to return
+                    scoreThreshold: 0.2, // Confidence score threshold for detections (0.0 - 1.0)
+                    nmsRadius: 20, // Non-Maximum Suppression (NMS) radius for de-duplication
+                    minKeypointScore: 0.3, // Minimum keypoint detection score (0.0 - 1.0)
+                    refineSteps: 10, // Number of refinement steps for segmentation
+                });
+                // 2. Creating a Background Mask
+                const background = { r: 0, g: 0, b: 0, a: 0 };
+                const mask = bodyPix.toMask(segmentation, background, { r: 0, g: 0, b: 0, a: 255 });
+                if (mask) {
+                    ctx.putImageData(mask, 0, 0);
+                    ctx.globalCompositeOperation = 'source-in';
+                    // 3. Drawing the Background
+                    if (backgroundImage.complete) {
+                        ctx.drawImage(backgroundImage, 0, 0, canvasElement.width, canvasElement.height);
+                    } else {
+                        // If the image is not loaded yet, wait for it to load and then draw
+                        backgroundImage.onload = () => {
+                            ctx.drawImage(backgroundImage, 0, 0, canvasElement.width, canvasElement.height);
+                        };
+                    }
+                    // Draw the mask (segmentation)
+                    ctx.globalCompositeOperation = 'destination-over';
+                    ctx.drawImage(videoElement, 0, 0, canvasElement.width, canvasElement.height);
+                    ctx.globalCompositeOperation = 'source-over';
+                    // Add a delay to control the frame rate (adjust as needed) less CPU intensive
+                    // await new Promise((resolve) => setTimeout(resolve, 100));
+                    // Continue updating the canvas
+                    requestAnimationFrame(updateCanvas);
+                }
+            }
+        }
+        // Start update canvas
+        updateCanvas();
+    } catch (error) {
+        stopVirtualBackground();
+        displayError(error);
+    }
+}
+// Function to stop the virtual background
+function stopVirtualBackground() {
+    isVirtual = false;
+    videoElement.hidden = false;
+    canvasElement.hidden = true;
+    display(canvasElement, 'none');
+    // Hide the stop button and show the start button
+    startButton.style.display = 'block';
+    stopButton.style.display = 'none';
+}
+// Helper function to set the display style of an element
+function display(element, style) {
+    element.style.display = style;
+}
+// Helper function to display errors
+function displayError(error){
+    console.error(error);
+    // Display error message in the <p> element
+    errorText.textContent = 'An error occurred: ' + error.message;
+}
+// Add click event listeners to the buttons
+startButton.addEventListener('click', startVirtualBackground);
+stopButton.addEventListener('click', stopVirtualBackground);
+// Start video stream
+startWebCamStream();