FaGED pipeline: construct graph representation for open-space public buildings, extract prototypes, and compute (n)GED/FaGED for layout-behavior retrieval.
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Project description
faged_pipeline
A modular Python pipeline for architectural and urban spatial analysis, supporting annotation inspection, base graph construction, connectivity-aware transformation, layout prototype extraction, and FaGED-based graph comparison.
Each step can be executed independently or combined arbitrarily, making the pipeline suitable for both exploratory research and reproducible experiments.
Features
- LabelMe annotation quality checks (visual & structural)
- Area-aware Base Graph (BG) construction
- Connectivity-aware Graph (CaG) transformation
- Automatic selection of optimal graph variant
- Layout prototype extraction via Infomap
- GED / nGED / FaGED (optimal edit paths)
- Batch processing with multiple Markov times
- Research-oriented, transparent, and extensible design
Project Structure
faged_pipeline/ ├─ pyproject.toml ├─ README.md ├─ src/ │ └─ faged_pipeline/ │ ├─ init.py │ ├─ pipeline.py │ ├─ step0_checks.py │ ├─ step1_behavior.py │ ├─ step2_basegraph.py │ ├─ step3_transform.py │ ├─ step4_prototype.py │ └─ step5_faged.py └─ notebooks/ └─ example_pipeline.ipynb
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