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Nov 06, 2020
by
Elisa Kanaki
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@@ -10,8 +10,11 @@ Requirements
-
python >=3.6, PyQt5, OpenCV >=3.4.1, numpy >=1.14, scikit-image >=0.13.1, scipy >=1.1.0,
win32com, pythoncom, cython 0.28
-
We advise the use of Anaconda (python 3.
7
): https://www.anaconda.com/download
-
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
)
-
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).
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