Process a PIL image.
(img)
| 13 | |
| 14 | |
| 15 | def yolov5(img): |
| 16 | """Process a PIL image.""" |
| 17 | |
| 18 | # Inference |
| 19 | results = model(img) |
| 20 | |
| 21 | detected_classes = [] |
| 22 | names = results.names |
| 23 | if results.pred is not None: |
| 24 | pred = results.pred[0] |
| 25 | if pred is not None: |
| 26 | for c in pred[:, -1].unique(): |
| 27 | n = (pred[:, -1] == c).sum() |
| 28 | detected_classes.append(f"{n} {names[int(c)]}{'s' * (n > 1)}") |
| 29 | |
| 30 | logging.info(f"Detected classes: {detected_classes}") |
| 31 | |
| 32 | rendered_imgs = results.render() |
| 33 | converted_img = Image.fromarray(rendered_imgs[0]).convert("RGB") |
| 34 | |
| 35 | return detected_classes, converted_img |
no test coverage detected