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)
13 lines
908 B
YAML
13 lines
908 B
YAML
# Ultralytics 🚀 AGPL-3.0 License - https://ultralytics.com/license
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# ByteTrack tracker defaults for mode="track"
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# Docs: https://docs.ultralytics.com/modes/track/
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tracker_type: bytetrack # (str) Tracker backend: botsort|bytetrack; choose bytetrack for the classic baseline
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track_high_thresh: 0.25 # (float) First-stage match threshold; raise for cleaner tracks, lower to keep more
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track_low_thresh: 0.1 # (float) Second-stage threshold for low-score matches; balances recovery vs drift
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new_track_thresh: 0.25 # (float) Start a new track if no match ≥ this; higher reduces false tracks
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track_buffer: 30 # (int) Frames to keep lost tracks alive; higher handles occlusion, increases ID switches risk
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match_thresh: 0.8 # (float) Association similarity threshold (IoU/cost); tune with detector quality
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fuse_score: True # (bool) Fuse detection score with motion/IoU for matching; stabilizes weak detections
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