Support code for the Neural Network FDK algorithm paper
This paragraph should contain a high-level description of the package, with a brief overview of its features and limitations.
- Free software: GNU General Public License v3
- Documentation: [https://mjlagerwerf.github.io/nn_fdk]
It takes a few steps to setup Neural Network FDK algorithm on your machine. We recommend installing Anaconda package manager for Python 3.
To install Neural Network FDK algorithm, simply clone this GitHub project. Go to the cloned directory and run PIP installer:
git clone https://github.com/mjlagerwerf/ddf_fdk.git
cd ddf_fdk
make install
cd ..
git clone https://github.com/mjlagerwerf/nn_fdk.git
cd nn_fdk
make install
Instal it as editable
git clone https://github.com/mjlagerwerf/ddf_fdk.git
cd ddf_fdk
make install_dev
cd ..
git clone https://github.com/mjlagerwerf/nn_fdk.git
cd nn_fdk
make install_dev
If you want to make use of the U-net and MSD-net functionalities follow the following instructions.
Create a conda environment with the following packages. Note that the cudatoolkit should coincide with the version on your machine.
conda create -n nnfdk -c conda-forge -c aahendriksen -c pytorch msd_pytorch torchvision msdnet cudatoolkit=10.1 -y
Activate the new environment and install the ddf_fdk and nn_fdk packages
conda activate nnfdk
git clone https://github.com/mjlagerwerf/ddf_fdk.git
cd ddf_fdk
make install
cd ..
git clone https://github.com/mjlagerwerf/nn_fdk.git
cd nn_fdk
make install
To learn more about the functionality of the package check out our examples folder.
- Rien Lagerwerf - Initial work
See also the list of contributors who participated in this project.
Contributions are always welcome. Please submit pull requests against the master branch.
If you have any issues, questions, or remarks, then please open an issue on GitHub.
This project is licensed under the GNU General Public License v3 - see the LICENSE.md file for details.