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| # Hugging Face Space requirements for sam_auto_app.py. | |
| # Rename to requirements.txt in the Space repo. | |
| gradio>=4.0.0 | |
| torch>=2.0.0 | |
| torchvision>=0.15.0 | |
| segment-anything @ git+https://github.com/facebookresearch/segment-anything.git | |
| opencv-contrib-python-headless>=4.8.0 | |
| numpy>=1.24.0,<2.0 | |
| Pillow>=10.0.0 | |
| easyocr>=1.7.0 | |
| # Vector wall extraction from PDF (pdf_walls.py). Without it the PDF tab is | |
| # disabled and only the raster path runs. | |
| pymupdf>=1.24.0 | |
| # REQUIRED, both of them. Wall extraction is the wall_vectorizer_flask.py method: | |
| # vtracer traces the sheet, svgpathtools parses the traced paths and splits them | |
| # into the subpaths the wall filter measures. Without either there is no wall | |
| # extraction at all — the app has no other path and no network fallback. | |
| vtracer>=0.6.11 | |
| svgpathtools>=1.6.1 | |
| # Only needed for the 1:1 parity path (when the sibling DeepPlan modules are | |
| # uploaded alongside the app). Harmless to keep for the inline-port-only setup. | |
| scipy>=1.11.0 | |
| scikit-image>=0.21.0 | |