Chengfang Lu
e72bc061c5
Major changes: - New frontend (platform/web/): Vite + React 18 + TypeScript + Tailwind - 4-module navigation: 数据送标 / 模型管理 / 车队管理 / 系统管理 - Data catalog with charts (DMS/ADAS/Lane 3-tab view) - Quality review workflow (标注质检): Good/Fine/Bad scoring with auto-advance - Audit enhancements: batch operations, rejection categories, Feishu notifications - Operation audit log (操作日志) - World model simulation studio (仿真工坊) - Dataset version management with snapshots and diff - ADAS 7-class dataset integration (138K images organized + compressed) - User management with Feishu integration and pagination - CRUD/search/filter on all pages, card layout redesign - PIL-optimized image overlay rendering - Auto-snapshot on build, in_review workflow stage - Removed embedded algorithm code (now in workspace)
1.6 KiB
1.6 KiB
| 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). |