- We advise the use of Miniconda (python 3.8): https://docs.conda.io/en/latest/miniconda.html) and the provided ```yml``` files [GepardEnv-windows.yml](environments/GepardEnv-Windows.yml), [GepardEnv.yml](environments/GepardEnv.yml) for a well-defined and tested environment
- We advise the use of Anaconda (python 3.8): https://www.anaconda.com/download
- Alternatively, Anaconda can be used as it contains most of the python libraries. However, following packages need to be installed manually: opencv-python, scikit-image, dill
as it contains most of the python libraries. However, following packages need to be installed manually: opencv-python, scikit-image, dill
- We recommend working with a 64bit OS and also a python interpreter compiled for 64bit as many use cases require a lot of memory (32 GB recommended).
- Alternatively, the provided ```yml``` files can be used to set up a well-defined and tested environment with ```conda env create -f xxx.yml```: