A Python package to analyse an image sequence and measure diffusion properties through Fourier techniques.
This package is under active development and currently in a pre-alpha state.
Additional information as well as API references can be found on our webpage.
- Python 3.8 or 3.9
- Anaconda (recommended)
- Optional: Nvidia CUDA GPU
OpenDDM is under development and not (yet) available through PyPI. We recommend installing the package in a conda environment. To install the software locally:
conda env create -n ddm_env python=3.8
conda activate ddm_env
pip install git+https://github.com/koenderinklab/openddmIn order to make use of a CUDA-enabled GPU with cupy, you can install the additional dependencies with
# conda env create -n ddm_env python=3.8
# conda activate ddm_env
pip install git+https://github.com/koenderinklab/openddm#egg=ddm[cuda]Please look at the CuPy requirements for more info on suitable GPUs.
git clone git@github.com:koenderinklab/openddm.git ddm
cd ddm
conda env create -f environment.yml
conda activate ddm_env
pip install -e .[dev]To run the test suite after installing OpenDDM with the development depednencies, run pytest in the root directory of the openddm repository.
Copyright 2022 Technische Universiteit Delft
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.