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| # Dependencies for APEC Angiography Segmentation | |
| astropy>=5.3.0 | |
| efficientnet-pytorch==0.7.1 | |
| fil-finder==1.7.2 | |
| matplotlib>=3.5.0 | |
| mpld3==0.5.9 | |
| numpy>=1.21.0 | |
| opencv-python>=4.5.0 | |
| pandas>=1.3.0 | |
| Pillow>=8.0.0 | |
| plotly==5.16.1 | |
| pretrainedmodels==0.7.4 | |
| pydicom==2.4.3 | |
| PyYAML>=6.0.1 | |
| scikit-image>=0.19.0 | |
| scikit-learn>=1.0.0 | |
| scipy>=1.7.0 | |
| setuptools>=65.0.0 | |
| SimpleITK>=2.0.0 | |
| streamlit>=1.28.0,<1.39.0 | |
| streamlit-drawable-canvas==0.9.3 | |
| streamlit-plotly-events==0.0.6 | |
| tifffile>=2023.7.10 | |
| timm>=0.9.6 | |
| torch>=1.12.0,<2.5.0 | |
| torchvision>=0.13.0,<0.20.0 | |
| tqdm>=4.61.1 | |
| pooch | |
| segmentation-models-pytorch | |