- Project structure: solver/, freecad/, export/, configs/, scripts/, tests/, docs/ - pyproject.toml with dependency groups: core, train, freecad, dev - Hydra configs: dataset (synthetic, fusion360), model (baseline, gat), training (pretrain, finetune), export (production) - Dockerfile with CUDA+PyG GPU and CPU-only targets - docker-compose.yml for train, test, data-gen services - Makefile with targets: train, test, lint, format, type-check, data-gen, export, check - Pre-commit hooks: ruff, mypy, conventional commits - Gitea Actions CI: lint, type-check, test on push/PR - README with setup and usage instructions
13 lines
183 B
YAML
13 lines
183 B
YAML
# Fusion 360 Gallery dataset config
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name: fusion360
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data_dir: data/fusion360
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output_dir: data/processed
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splits:
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train: 0.8
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val: 0.1
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test: 0.1
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stratify_by: complexity
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seed: 42
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