docs(train): L1–L3 layout data-spec and enpu project export (#93) - #96
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Add layout_schema_version 0.1, export/validate from .enpu.json structure, CLI scripts/export_layout_gt.py, and a real-project sample (L001). Closes #93
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Summary
Implement #93 (parent #92 task 1): freeze L1–L3 layout training data standard and export path from real desktop
.enpu.jsonprojects.Deliverables
docs/train/l1-l3-data-spec.md— schema, coordinate rules, structure→layout mapping, Score boundarycore/app/layout_gt/— export + validatescripts/export_layout_gt.py— CLIsamples/layout/L001_zuozai_baozuo/exported from real project 坐在宝座上圣洁羔羊A调.enpu.json (M04; 6 systems × 3 interior splits)core/tests/test_layout_gt.pyNotes on real project format
project_version0.2,structure.itemsL1–L5 +barlinesn = n_measures+1); exporter converts torefactor(core/desktop): L3 改为「L2 行内纵向分割线」模型（识别切分 + 拖线编辑 + 线级评估）#85 interior splitsTest plan
pytest core/tests/test_layout_gt.py.enpu.json→ validate okCloses #93