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
| """Analysis subpackage.""" | |
| from .scoring import ( | |
| compute_oblongness_scores, | |
| detect_online_bifurcation_signal, | |
| detect_sustained_bifurcation_signal, | |
| ) | |
| __all__ = [ | |
| "compute_oblongness_scores", | |
| "detect_sustained_bifurcation_signal", | |
| "detect_online_bifurcation_signal", | |
| ] | |