AlanMateus17/javascript

1import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.10.1';2 3// Since we will download the model from the Hugging Face Hub, we can skip the local model check4env.allowLocalModels = false;5 6// Reference the elements that we will need7const status = document.getElementById('status');8const fileUpload = document.getElementById('upload');9const imageContainer = document.getElementById('container');10const example = document.getElementById('example');11 12const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';13 14// Create a new object detection pipeline15status.textContent = 'Loading model...';16const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');17status.textContent = 'Ready';18 19example.addEventListener('click', (e) => {20    e.preventDefault();21    detect(EXAMPLE_URL);22});23 24fileUpload.addEventListener('change', function (e) {25    const file = e.target.files[0];26    if (!file) {27        return;28    }29 30    const reader = new FileReader();31 32    // Set up a callback when the file is loaded33    reader.onload = e2 => detect(e2.target.result);34 35    reader.readAsDataURL(file);36});37 38 39// Detect objects in the image40async function detect(img) {41    imageContainer.innerHTML = '';42    imageContainer.style.backgroundImage = `url(${img})`;43 44    status.textContent = 'Analysing...';45    const output = await detector(img, {46        threshold: 0.5,47        percentage: true,48    });49    status.textContent = '';50    output.forEach(renderBox);51}52 53// Render a bounding box and label on the image54function renderBox({ box, label }) {55    const { xmax, xmin, ymax, ymin } = box;56 57    // Generate a random color for the box58    const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);59 60    // Draw the box61    const boxElement = document.createElement('div');62    boxElement.className = 'bounding-box';63    Object.assign(boxElement.style, {64        borderColor: color,65        left: 100 * xmin + '%',66        top: 100 * ymin + '%',67        width: 100 * (xmax - xmin) + '%',68        height: 100 * (ymax - ymin) + '%',69    })70 71    // Draw label72    const labelElement = document.createElement('span');73    labelElement.textContent = label;74    labelElement.className = 'bounding-box-label';75    labelElement.style.backgroundColor = color;76 77    boxElement.appendChild(labelElement);78    imageContainer.appendChild(boxElement);79}80