feat: initial HSAP platform

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>

algorithms/dms_yolo/code/ultralytics/cfg/datasets/hand-keypoints.yaml

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+# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
+
+# Hand Keypoints dataset by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/pose/hand-keypoints/
+# Example usage: yolo train data=hand-keypoints.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── hand-keypoints ← downloads here (369 MB)
+
+# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
+path: hand-keypoints # dataset root dir
+train: images/train # train images (relative to 'path') 18776 images
+val: images/val # val images (relative to 'path') 7992 images
+
+# Keypoints
+kpt_shape: [21, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
+flip_idx: [0, 1, 2, 4, 3, 10, 11, 12, 13, 14, 5, 6, 7, 8, 9, 15, 16, 17, 18, 19, 20]
+
+# Classes
+names:
+  0: hand
+
+# Keypoint names per class
+kpt_names:
+  0:
+    - wrist
+    - thumb_cmc
+    - thumb_mcp
+    - thumb_ip
+    - thumb_tip
+    - index_mcp
+    - index_pip
+    - index_dip
+    - index_tip
+    - middle_mcp
+    - middle_pip
+    - middle_dip
+    - middle_tip
+    - ring_mcp
+    - ring_pip
+    - ring_dip
+    - ring_tip
+    - pinky_mcp
+    - pinky_pip
+    - pinky_dip
+    - pinky_tip
+
+# Download script/URL (optional)
+download: https://github.com/ultralytics/assets/releases/download/v0.0.0/hand-keypoints.zip