# This file may be used to create an environment using:
# $ conda create --name my_env pip
# $ conda activate my_env
# $ pip install -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu116
#
# Remarks: The requirements.txt has to be in your current directory. The extra-index-url is defined because it is needed to get Pytorch with CUDA. If this does not work, please look at https://pytorch.org/get-started/locally/ to see how to install Pytorch with CUDA correctly. Eventually remove torch, torchvision and torchaudio from this list, because they are all related to Pytorch and not needed on this list if you install Pytorch another way.
#
# To test, if CUDA was installed correctly, use:
# $ conda activate my_env
# $ python
# $ import torch
# $ torch.cuda.is_available()
# If it says true, then CUDA has been installed correctly.
# $ quit()
# $ conda deactivate
#
# Packages to install:
matplotlib
opencv-python
pillow
sklearn
xmltodict
torch
torchvision
torchaudio
