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)
12 lines
835 B
Python
Executable File
12 lines
835 B
Python
Executable File
# row anchors are a series of pre-defined coordinates in image height to detect lanes
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# the row anchors are defined according to the evaluation protocol of CULane and Tusimple
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# since our method will resize the image to 288x800 for training, the row anchors are defined with the height of 288
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# you can modify these row anchors according to your training image resolution
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tusimple_row_anchor = [ 64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112,
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116, 120, 124, 128, 132, 136, 140, 144, 148, 152, 156, 160, 164,
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168, 172, 176, 180, 184, 188, 192, 196, 200, 204, 208, 212, 216,
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220, 224, 228, 232, 236, 240, 244, 248, 252, 256, 260, 264, 268,
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272, 276, 280, 284]
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culane_row_anchor = [121, 131, 141, 150, 160, 170, 180, 189, 199, 209, 219, 228, 238, 248, 258, 267, 277, 287]
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