Xenova HF staff commited on
Commit
7485ebd
1 Parent(s): 777f276

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +13 -11
README.md CHANGED
@@ -34,24 +34,26 @@ const processor = await AutoProcessor.from_pretrained('onnx-community/yolov10s')
34
  // Read image and run processor
35
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
36
  const image = await RawImage.read(url);
37
- const { pixel_values } = await processor(image);
38
 
39
  // Run object detection
40
  const { output0 } = await model({ images: pixel_values });
41
  const predictions = output0.tolist()[0];
 
42
  const threshold = 0.5;
 
 
43
  for (const [xmin, ymin, xmax, ymax, score, id] of predictions) {
44
  if (score < threshold) continue;
45
- const bbox = [xmin, ymin, xmax, ymax].map(x => x.toFixed(2)).join(', ')
46
- console.log(`Found "${model.config.id2label[id]}" at [${bbox}] with score ${score.toFixed(2)}.`)
 
 
47
  }
48
- // Found "car" at [448.81, 378.16, 639.25, 477.85] with score 0.95.
49
- // Found "car" at [177.93, 338.54, 398.13, 417.66] with score 0.93.
50
- // Found "bicycle" at [449.25, 475.36, 555.90, 537.42] with score 0.92.
51
- // Found "bicycle" at [1.46, 517.67, 109.81, 584.15] with score 0.90.
52
- // Found "bicycle" at [351.74, 524.63, 464.50, 588.63] with score 0.87.
53
- // Found "person" at [550.09, 260.31, 591.83, 332.18] with score 0.85.
54
- // Found "person" at [474.90, 429.96, 533.88, 535.70] with score 0.83.
55
- // Found "traffic light" at [208.08, 55.58, 233.91, 102.01] with score 0.78.
56
  // ...
57
  ```
 
34
  // Read image and run processor
35
  const url = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/city-streets.jpg';
36
  const image = await RawImage.read(url);
37
+ const { pixel_values, reshaped_input_sizes } = await processor(image);
38
 
39
  // Run object detection
40
  const { output0 } = await model({ images: pixel_values });
41
  const predictions = output0.tolist()[0];
42
+
43
  const threshold = 0.5;
44
+ const [newHeight, newWidth] = reshaped_input_sizes[0]; // Reshaped height and width
45
+ const [xs, ys] = [image.width / newWidth, image.height / newHeight]; // x and y resize scales
46
  for (const [xmin, ymin, xmax, ymax, score, id] of predictions) {
47
  if (score < threshold) continue;
48
+
49
+ // Convert to original image coordinates
50
+ const bbox = [xmin * xs, ymin * ys, xmax * xs, ymax * ys].map(x => x.toFixed(2)).join(', ');
51
+ console.log(`Found "${model.config.id2label[id]}" at [${bbox}] with score ${score.toFixed(2)}.`);
52
  }
53
+ // Found "car" at [559.30, 472.72, 799.58, 598.15] with score 0.95.
54
+ // Found "car" at [221.91, 422.56, 498.09, 521.85] with score 0.94.
55
+ // Found "bicycle" at [1.59, 646.99, 137.72, 730.35] with score 0.92.
56
+ // Found "bicycle" at [561.25, 593.65, 695.01, 671.73] with score 0.91.
57
+ // Found "person" at [687.74, 324.93, 739.70, 415.04] with score 0.89.
 
 
 
58
  // ...
59
  ```