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HSAP/workflow.registry.yaml

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# 路径均相对 HSAP/ 根。训练用哪些数据包由 active_packs 控制add/build 不会自动改这里)
version: 1
workspace: .
platform:
version: 1
data:
batch_meta_schema: as-batch-v1
drop_zones:
dms_inbox: "datasets/dms/inbox/{task}/{batch}"
dms_sources: "datasets/dms/packs/{pack}/{task}/sources/{batch}"
lane_inbox: "datasets/lane/inbox/{batch}"
adas_inbox: "data/送标/adas/inbox/{task}/{batch}"
training:
tracks:
local_allowed: true
platform_require_audit: true
agents:
trace_enabled: true
default_graph: ingest_flow
automation:
on_new_sources: notify
require_eval_before_promote: true
min_delta_map50: -0.01
baseline_metrics:
dam: {map50: null, map50_95: null}
ddaw: {map50: null}
projects:
dms:
root: datasets/dms
registry: datasets.registry.yaml
packs_registry: data_packs.yaml
base_pack: dms_v1
active_packs:
- dms_v1
lane:
root: datasets/lane
registry: datasets_registry.json
base_pack: lane_v1
active_packs:
- lane_v1
merge:
train: lists_merged/train_active.txt
val: lists_merged/val_active.txt
train:
workdir: algorithms/lane_ufld/code/UFLD
config: configs/mufld_lane_multi_pack.py
adas:
root: datasets/adas
# 数据湖:宿主机 DATA/data/送标/adas → inbox/{task}/{batch}/images/
registry: adas.registry.yaml
packs_registry: data_packs.yaml
base_pack: adas_moon3d_v1
active_packs:
- adas_moon3d_v1
merge:
train: lists/train_stems.txt
val: lists/val_stems.txt