Update index.js

index.js

@@ -1,79 +1,57 @@
-import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.9.0';
+<script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script>
 
-// Since we will download the model from the Hugging Face Hub, we can skip the local model check
-env.allowLocalModels = false;
 
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const fileUpload = document.getElementById('upload');
-const imageContainer = document.getElementById('container');
-const example = document.getElementById('example');
+<div id="cube-container"></div>
 
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
 
-// Create a new object detection pipeline
-status.textContent = 'Loading model...';
-const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
-status.textContent = 'Ready';
 
-example.addEventListener('click', (e) => {
-    e.preventDefault();
-    detect(EXAMPLE_URL);
-});
+#cube-container {
+    width: 100%;
+    height: 400px;
+    position: relative;
+    margin-top: 20px;
+}
 
-fileUpload.addEventListener('change', function (e) {
-    const file = e.target.files[0];
-    if (!file) {
-        return;
-    }
 
-    const reader = new FileReader();
 
-    // Set up a callback when the file is loaded
-    reader.onload = e2 => detect(e2.target.result);
 
-    reader.readAsDataURL(file);
-});
 
+Java
 
-// Detect objects in the image
-async function detect(img) {
-    imageContainer.innerHTML = '';
-    imageContainer.style.backgroundImage = `url(${img})`;
 
-    status.textContent = 'Analysing...';
-    const output = await detector(img, {
-        threshold: 0.5,
-        percentage: true,
-    });
-    status.textContent = '';
-    output.forEach(renderBox);
-}
+// scripts.js
+document.addEventListener('DOMContentLoaded', function() {
+    // Set up the scene, camera, and renderer as global variables.
+    var scene, camera, renderer, cube;
 
-// Render a bounding box and label on the image
-function renderBox({ box, label }) {
-    const { xmax, xmin, ymax, ymin } = box;
-
-    // Generate a random color for the box
-    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
-
-    // Draw the box
-    const boxElement = document.createElement('div');
-    boxElement.className = 'bounding-box';
-    Object.assign(boxElement.style, {
-        borderColor: color,
-        left: 100 * xmin + '%',
-        top: 100 * ymin + '%',
-        width: 100 * (xmax - xmin) + '%',
-        height: 100 * (ymax - ymin) + '%',
-    })
-
-    // Draw label
-    const labelElement = document.createElement('span');
-    labelElement.textContent = label;
-    labelElement.className = 'bounding-box-label';
-    labelElement.style.backgroundColor = color;
-
-    boxElement.appendChild(labelElement);
-    imageContainer.appendChild(boxElement);
-}
+    init();
+
+    function init() {
+        // Add the scene.
+        scene = new THREE.Scene();
+        scene.background = new THREE.Color(0xf4f4f4);
+
+        // Add the camera.
+        camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000);
+        camera.position.z = 5;
+
+        // Add the renderer.
+        renderer = new THREE.WebGLRenderer({ antialias: true });
+        renderer.setSize(window.innerWidth, window.innerHeight);
+        document.getElementById('cube-container').appendChild(renderer.domElement);
+
+        // Add the cube.
+        var geometry = new THREE.BoxGeometry(2, 2, 2);
+        var material = new THREE.MeshBasicMaterial({ color: 0x007bff, wireframe: false });
+        cube = new THREE.Mesh(geometry, material);
+        scene.add(cube);
+
+        // Render the scene/camera combination.
+        render();
+    }
+
+    function render() {
+        requestAnimationFrame(render);
+        
+        // Rotate the cube.
+        cube.rotation.x +=