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import { pipeline, env } from "https://cdn.jsdelivr.net/npm/@xenova/transformers@2.6.0"; |
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env.allowLocalModels = false; |
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const fileUpload = document.getElementById("file-upload"); |
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const imageContainer = document.getElementById("image-container"); |
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const status = document.getElementById("status"); |
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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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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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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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console.log("output", output); |
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output.forEach(renderBox); |
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} |
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function renderBox({ box, label }) { |
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const { xmax, xmin, ymax, ymin } = box; |
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const color = "#" + Math.floor(Math.random() * 0xffffff).toString(16).padStart(6, 0); |
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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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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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} |