Instructions to use Aditya2162/ivus-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Aditya2162/ivus-segmentation with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Aditya2162/ivus-segmentation") - Notebooks
- Google Colab
- Kaggle
| [project] | |
| name = "deepivus" | |
| version = "0.0.1" | |
| description = "Package for IVUS Segmentation" | |
| authors = [ | |
| {name = "Aditya Mangalampalli"} | |
| ] | |
| requires-python = ">=3.12,<3.15" | |
| dependencies = [ | |
| "click (>=8.3.1,<9.0.0)", | |
| "imageio (>=2.37.2,<3.0.0)", | |
| "imageio-ffmpeg (>=0.6.0,<0.7.0)", | |
| "numpy (>=2.4.2,<3.0.0)", | |
| "pydicom (>=3.0.1,<4.0.0)", | |
| "scikit-image (>=0.26.0,<0.27.0)", | |
| "scipy (>=1.17.0,<2.0.0)", | |
| "tensorflow (>=2.20.0,<3.0.0)", | |
| "matplotlib (>=3.10.8,<4.0.0)", | |
| "tqdm (>=4.67.3,<5.0.0)", | |
| "setuptools (==70.3.0)", | |
| "tensorboard (>=2.20.0,<3.0.0)" | |
| ] | |
| [project.scripts] | |
| deepivus = "deepivus.cli:cli" | |
| [build-system] | |
| requires = ["poetry-core>=2.0.0,<3.0.0"] | |
| build-backend = "poetry.core.masonry.api" | |