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feat: initial HSAP platform

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Huaxu Sentinel Active Safety Platform with embedded algorithm code,
Docker Compose setup, and vendored dataset scaffolds for clone-and-run.

Co-authored-by: Cursor <cursoragent@cursor.com>
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Chengfang Lu
2026-05-25 16:59:59 +08:00
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algorithms/dms_yolo/code/docs/macros/sam-auto-annotate.md Normal file
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| Argument | Type | Default | Description |
| ------------ | ----------- | -------------- | ------------------------------------------------------------------------------------ |
| `data` | `str` | required | Path to directory containing target images for annotation or segmentation. |
| `det_model` | `str` | `'yolo26x.pt'` | YOLO detection model path for initial object detection. |
| `sam_model` | `str` | `'sam_b.pt'` | SAM model path for segmentation (supports SAM, SAM2 variants, and MobileSAM models). |
| `device` | `str` | `''` | Computation device (e.g., 'cuda:0', 'cpu', or '' for automatic device detection). |
| `conf` | `float` | `0.25` | YOLO detection confidence threshold for filtering weak detections. |
| `iou` | `float` | `0.45` | IoU threshold for Non-Maximum Suppression to filter overlapping boxes. |
| `imgsz` | `int` | `640` | Input size for resizing images (must be multiple of 32). |
| `max_det` | `int` | `300` | Maximum number of detections per image for memory efficiency. |
| `classes` | `list[int]` | `None` | List of class indices to detect (e.g., `[0, 1]` for person & bicycle). |
| `output_dir` | `str` | `None` | Save directory for annotations (defaults to './labels' relative to data path). |