home.md

@@ -13,8 +13,8 @@ Requirements
 - We advise the use of Anaconda (python 3.8): https://www.anaconda.com/download
     as it contains most of the python libraries. However, following packages need to be installed manually: opencv-python, scikit-image, dill
 - Alternatively, the provided ```yml``` files can be used to set up a well-defined and tested environment with ```conda env create -f xxx.yml```:
-[GepardEnv-Windows.yml](uploads/49182461700a5d3a9227bcad0beb5f39/GepardEnv-Windows.yml) (Windows),
-[testEnv.yml](uploads/ebacbf7246aa5e1b0ba42b402a58ba7c/testEnv.yml) (Linux)
+[GepardEnv-windows.yml](uploads/49182461700a5d3a9227bcad0beb5f39/GepardEnv-Windows.yml) (Windows),
+[GepardEnv.yml](uploads/2af661e0bf5499b208c070f80c8dc685/GepardEnv.yml) (Linux)
 - 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).