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)
133 lines
3.0 KiB
YAML
133 lines
3.0 KiB
YAML
# 任务定义 + 训练超参。数据包路径见 data_packs.yaml；训练用哪些包见 workflow.registry.yaml active_packs
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# domain: dms=舱内驾驶员监控 | forward=前向交通标志（检测+细分类合一任务）
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version: 3
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dataset_root: .
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split:
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val_ratio: 0.1
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seed: 42
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resplit_after_ingest: true
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min_val_per_class: 1
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min_train_per_class: 1
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rare_class_train_floor: 5
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ingest:
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sources_subdir: sources
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ingested_subdir: sources/_ingested
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train:
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mode: full
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detect:
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model: yolo26n.pt
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epochs: 100
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lr0: 0.01
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imgsz: 640
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warm_start: null
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epochs_continue: 50
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lr0_continue: 0.001
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pose:
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model: yolo26n-pose.pt
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epochs: 100
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lr0: 0.01
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imgsz: 640
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warm_start: null
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epochs_continue: 50
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lr0_continue: 0.001
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classify:
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model: yolo26n-cls.pt
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epochs: 50
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lr0: 0.01
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imgsz: 224
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warm_start: null
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epochs_continue: 30
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lr0_continue: 0.001
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tasks:
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ddaw:
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domain: dms
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label: DDAW 疲劳检测
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type: detect
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task_dir: ddaw
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nc: 9
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names: [face, eye_open, eye_partially_open, eye_close, mouth_open, mouth_partially_open, mouth_close, side_face, nod_face]
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inbox: inbox/ddaw
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extra_train: []
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addw:
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domain: dms
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label: ADDW 分心检测
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type: detect
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task_dir: addw
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nc: 4
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names: [face, eye_open, nod_face, nod_eye]
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inbox: inbox/addw
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extra_train: []
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addw_face:
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domain: dms
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label: ADDW 人脸关键点
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type: pose
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task_dir: addw_face
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kpt_shape: [37, 3]
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names: {0: face}
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inbox: inbox/addw_face
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extra_train: []
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dam:
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domain: dms
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label: DAM 驾驶员监控
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type: multi
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task_dir: dam
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modes:
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batch_0516:
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label: 0516 批次
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type: detect
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subdir: batch_0516
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nc: 15
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names: [face, eye_open, eye_partially_open, eye_close, mouth_open, mouth_partially_open, mouth_close, side_face, nod_face, glasses, sunglasses, smoke, phone, driver, rise_face]
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inbox: inbox/dam/batch_0516
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extra_train: []
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batch_0417:
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label: 0417 批次
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type: detect
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subdir: batch_0417
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nc: 15
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names: [face, eye_open, eye_partially_open, eye_close, mouth_open, mouth_partially_open, mouth_close, side_face, nod_face, glasses, sunglasses, smoke, phone, driver, rise_face]
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inbox: inbox/dam/batch_0417
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extra_train: []
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forward:
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domain: forward
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label: 前向·交通标志
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type: multi
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task_dir: forward
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modes:
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detect:
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label: 粗检测（4 类）
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type: detect
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subdir: detect
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nc: 4
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names: [indicative, prohibitory, warning, vehicle]
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inbox: inbox/forward/detect
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extra_train: []
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classify:
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label: 细分类
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type: classify
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subdir: classify
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inbox: inbox/forward/classify
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extra_train: []
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adas:
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domain: forward
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label: 前向·ADAS 7 类检测
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type: detect
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task_dir: adas
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nc: 7
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names: [Pedestrain, Car, Truck, Bus, Motor-vehicles, Tricycle, cones]
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mode: detect
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inbox: inbox/adas
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