tqdm>=4.42
psutil>=5.7.0
pathlib==1.0.1
numpy>=1.18.0
opencv-python>=4.1.2.0
scikit-image>=0.16.2
Pillow>=7.0.0
scikit-learn>=0.22.0
toposort==1.5
fastcluster==1.1.26
matplotlib>=3.0.3
imageio>=2.8.0
imageio-ffmpeg>=0.4.2
ffmpy==0.2.3
# Revert back to nvidia-ml-py3 when windows/system32 patch is implemented
git+https://github.com/deepfakes/nvidia-ml-py3.git
#nvidia-ml-py3
h5py>=2.10.0
Keras==2.2.4
pywin32>=227 ; sys_platform == "win32"
pynvx==1.0.0 ; sys_platform == "darwin"

# tensorflow is included within the docker image.
# If you are looking for dependencies for a manual install,

# NB: Tensorflow version 1.12 is the minimum supported version of Tensorflow.
#    If your graphics card support is below Cuda 9.0 you will need to either
#    compile tensorflow yourself or download a custom version.
#    Install 1.12.0<=tensorflow-gpu<=1.13.0 for CUDA 9.0
#    or 1.13.1<=tensorflow-gpu<1.15 for CUDA 10.0