74 lines
2.2 KiB
JavaScript
74 lines
2.2 KiB
JavaScript
import { pipeline, env } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.6.0';
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// Since we will download the model from the Hugging Face Hub, we can skip the local model check
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env.allowLocalModels = false;
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// Reference the elements that we will need
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const status = document.getElementById('status');
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const fileUpload = document.getElementById('file-upload');
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const imageContainer = document.getElementById('image-container');
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// Create a new object detection pipeline
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status.textContent = 'Loading model...';
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const detector = await pipeline('object-detection', 'Xenova/detr-resnet-50');
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status.textContent = 'Ready';
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fileUpload.addEventListener('change', function (e) {
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const file = e.target.files[0];
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if (!file) {
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return;
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}
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const reader = new FileReader();
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// Set up a callback when the file is loaded
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reader.onload = function (e2) {
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imageContainer.innerHTML = '';
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const image = document.createElement('img');
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image.src = e2.target.result;
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imageContainer.appendChild(image);
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detect(image);
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};
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reader.readAsDataURL(file);
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});
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// Detect objects in the image
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async function detect(img) {
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status.textContent = 'Analysing...';
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const output = await detector(img.src, {
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threshold: 0.5,
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percentage: true,
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});
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status.textContent = '';
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output.forEach(renderBox);
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}
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// Render a bounding box and label on the image
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function renderBox({ box, label }) {
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const { xmax, xmin, ymax, ymin } = box;
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// Generate a random color for the box
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const color = '#' + Math.floor(Math.random() * 0xFFFFFF).toString(16).padStart(6, 0);
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// Draw the box
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const boxElement = document.createElement('div');
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boxElement.className = 'bounding-box';
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Object.assign(boxElement.style, {
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borderColor: color,
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left: 100 * xmin + '%',
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top: 100 * ymin + '%',
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width: 100 * (xmax - xmin) + '%',
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height: 100 * (ymax - ymin) + '%',
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})
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// Draw label
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const labelElement = document.createElement('span');
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labelElement.textContent = label;
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labelElement.className = 'bounding-box-label';
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labelElement.style.backgroundColor = color;
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boxElement.appendChild(labelElement);
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imageContainer.appendChild(boxElement);
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}
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