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
| """Visualization subpackage.""" | |
| from .video import write_model_comparison_video, write_overlay_video, write_overlay_video_with_graph | |
| __all__ = ["write_overlay_video", "write_model_comparison_video", "write_overlay_video_with_graph"] | |