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
File size: 744 Bytes
1d197a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | [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"
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