KerasFuse is a Python library that combines the power of TensorFlow and Keras with various computer vision techniques for medical image analysis tasks.
Project description
KerasFuse
🚧 Warning this project is under heavy development and not ready for production. ABI changes can happen frequently until reach stable version 🚧
KerasFuse is a Python library that combines the power of TensorFlow and Keras with various computer vision techniques for medical image analysis tasks. It provides a collection of modules and functions to facilitate the development of deep learning models in TensorFlow Keras for tasks such as image segmentation, classification, and more.
Getting Started
Requirements
KerasFuse is a project that relies heavily on the Tensorflow and Keras libraries. It is designed to work seamlessly with these powerful tools for deep learning and neural network development. In order to use KerasFuse effectively, please ensure that you have the following:
- Python 3.8+
- Tensorflow 2.12.0+
- Keras 2.12.0+
- OpenCV 4.7+
- Scikit-Learn 1.2.2+
Installation
$ pip install kerasfuse
---> 100%
Development
Poetry Installation
poetry install
poetry shell
Tip
If you have multiple Python versions on your system, you can set your Python version by using poetry env
. Here's an example of how to use it:
poetry env use python3.10
More details at poetry-switching-between-environments
Pip Installations
python3 -m venv .venv
source .venv/bin/activate
pip3 install -r requirements.txt
License
This project is licensed under the terms of the GPL-3.0 license.
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