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Optimize speed estimation solution (#16254)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Muhammad Rizwan Munawar 2024-09-13 22:34:35 +05:00 • committed by GitHub
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commit bf2b221d11
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2 changed files with 57 additions and 122 deletions
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docs/en/guides/speed-estimation.md
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@ -72,7 +72,7 @@ keywords: Ultralytics YOLOv8, speed estimation, object tracking, computer vision
print("Video frame is empty or video processing has been successfully completed.")
break
tracks = model.track(im0, persist=True, show=False)
tracks = model.track(im0, persist=True)
im0 = speed_obj.estimate_speed(im0, tracks)
video_writer.write(im0)
@ -94,7 +94,6 @@ keywords: Ultralytics YOLOv8, speed estimation, object tracking, computer vision
| `reg_pts` | `list` | `[(20, 400), (1260, 400)]` | List of region points for speed estimation. |
| `view_img` | `bool` | `False` | Whether to display the image with annotations. |
| `line_thickness` | `int` | `2` | Thickness of the lines for drawing boxes and tracks. |
| `region_thickness` | `int` | `5` | Thickness of the region lines. |
| `spdl_dist_thresh` | `int` | `10` | Distance threshold for speed calculation. |
### Arguments `model.track`