ultralytics 8.1.42 add YOLOv9 Segment models (#9296)
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: Laughing <61612323+Laughing-q@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@ -10,7 +10,6 @@ keywords: Ultralytics, YOLOv8, Queue Management, Object Counting, Object Trackin
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Queue management using [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) involves organizing and controlling lines of people or vehicles to reduce wait times and enhance efficiency. It's about optimizing queues to improve customer satisfaction and system performance in various settings like retail, banks, airports, and healthcare facilities.
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## Advantages of Queue Management?
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- **Reduced Waiting Times:** Queue management systems efficiently organize queues, minimizing wait times for customers. This leads to improved satisfaction levels as customers spend less time waiting and more time engaging with products or services.
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@ -23,7 +22,6 @@ Queue management using [Ultralytics YOLOv8](https://github.com/ultralytics/ultra
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| Queue management at airport ticket counter Using Ultralytics YOLOv8 | Queue monitoring in crowd Ultralytics YOLOv8 |
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!!! Example "Queue Management using YOLOv8 Example"
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=== "Queue Manager"
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@ -126,20 +124,20 @@ Queue management using [Ultralytics YOLOv8](https://github.com/ultralytics/ultra
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### Optional Arguments `set_args`
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| Name | Type | Default | Description |
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|-----------------------|-------------|----------------------------|---------------------------------------------|
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| `view_img` | `bool` | `False` | Display frames with counts |
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| `view_queue_counts` | `bool` | `True` | Display Queue counts only on video frame |
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| `line_thickness` | `int` | `2` | Increase bounding boxes thickness |
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| `reg_pts` | `list` | `[(20, 400), (1260, 400)]` | Points defining the Region Area |
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| `classes_names` | `dict` | `model.model.names` | Dictionary of Class Names |
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| `region_color` | `RGB Color` | `(255, 0, 255)` | Color of the Object counting Region or Line |
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| `track_thickness` | `int` | `2` | Thickness of Tracking Lines |
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| `draw_tracks` | `bool` | `False` | Enable drawing Track lines |
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| `track_color` | `RGB Color` | `(0, 255, 0)` | Color for each track line |
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| `count_txt_color` | `RGB Color` | `(255, 255, 255)` | Foreground color for Object counts text |
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| `region_thickness` | `int` | `5` | Thickness for object counter region or line |
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| `fontsize` | `float` | `0.6` | Font size of counting text |
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| Name | Type | Default | Description |
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|---------------------|-------------|----------------------------|---------------------------------------------|
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| `view_img` | `bool` | `False` | Display frames with counts |
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| `view_queue_counts` | `bool` | `True` | Display Queue counts only on video frame |
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| `line_thickness` | `int` | `2` | Increase bounding boxes thickness |
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| `reg_pts` | `list` | `[(20, 400), (1260, 400)]` | Points defining the Region Area |
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| `classes_names` | `dict` | `model.model.names` | Dictionary of Class Names |
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| `region_color` | `RGB Color` | `(255, 0, 255)` | Color of the Object counting Region or Line |
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| `track_thickness` | `int` | `2` | Thickness of Tracking Lines |
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| `draw_tracks` | `bool` | `False` | Enable drawing Track lines |
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| `track_color` | `RGB Color` | `(0, 255, 0)` | Color for each track line |
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| `count_txt_color` | `RGB Color` | `(255, 255, 255)` | Foreground color for Object counts text |
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| `region_thickness` | `int` | `5` | Thickness for object counter region or line |
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| `fontsize` | `float` | `0.6` | Font size of counting text |
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### Arguments `model.track`
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