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- We advise the use of Anaconda (python 3.8): https://www.anaconda.com/download
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as it contains most of the python libraries. However, following packages need to be installed manually: opencv-python, scikit-image, dill
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- Alternatively, the provided ```yml``` files can be used to set up a well-defined and tested environment with ```conda env create -f xxx.yml```:
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[GepardEnv-Windows.yml](uploads/49182461700a5d3a9227bcad0beb5f39/GepardEnv-Windows.yml) (Windows),
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[testEnv.yml](uploads/ebacbf7246aa5e1b0ba42b402a58ba7c/testEnv.yml) (Linux)
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[GepardEnv-windows.yml](uploads/49182461700a5d3a9227bcad0beb5f39/GepardEnv-Windows.yml) (Windows),
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[GepardEnv.yml](uploads/2af661e0bf5499b208c070f80c8dc685/GepardEnv.yml) (Linux)
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- We recommend working with a 64bit OS and also a python interpreter compiled
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for 64bit as many use cases require a lot of memory (32 GB
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recommended).
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