Update README.md
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README.md
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@@ -34,24 +34,26 @@ const processor = await AutoProcessor.from_pretrained('onnx-community/yolov10x')
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// Read image and run processor
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const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
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const image = await RawImage.read(url);
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const { pixel_values } = await processor(image);
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// Run object detection
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const { output0 } = await model({ images: pixel_values });
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const predictions = output0.tolist()[0];
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const threshold = 0.5;
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for (const [xmin, ymin, xmax, ymax, score, id] of predictions) {
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if (score < threshold) continue;
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}
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// Found "car" at [
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// Found "car" at [
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// Found "
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// Found "bicycle" at [
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// Found "
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// Found "bicycle" at [449.09, 478.36, 555.36, 537.83] with score 0.91.
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// Found "person" at [550.20, 261.00, 591.49, 332.14] with score 0.90.
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// Found "person" at [392.72, 481.26, 442.78, 586.88] with score 0.89.
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// ...
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```
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// Read image and run processor
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const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
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const image = await RawImage.read(url);
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const { pixel_values, reshaped_input_sizes } = await processor(image);
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// Run object detection
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const { output0 } = await model({ images: pixel_values });
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const predictions = output0.tolist()[0];
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const threshold = 0.5;
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const [newHeight, newWidth] = reshaped_input_sizes[0]; // Reshaped height and width
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const [xs, ys] = [image.width / newWidth, image.height / newHeight]; // x and y resize scales
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for (const [xmin, ymin, xmax, ymax, score, id] of predictions) {
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if (score < threshold) continue;
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// Convert to original image coordinates
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const bbox = [xmin * xs, ymin * ys, xmax * xs, ymax * ys].map(x => x.toFixed(2)).join(', ');
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console.log(`Found "${model.config.id2label[id]}" at [${bbox}] with score ${score.toFixed(2)}.`);
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}
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// Found "car" at [559.30, 472.72, 799.58, 598.15] with score 0.95.
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// Found "car" at [221.91, 422.56, 498.09, 521.85] with score 0.94.
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// Found "bicycle" at [1.59, 646.99, 137.72, 730.35] with score 0.92.
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// Found "bicycle" at [561.25, 593.65, 695.01, 671.73] with score 0.91.
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// Found "person" at [687.74, 324.93, 739.70, 415.04] with score 0.89.
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// ...
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```
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