Test Implementations of GPU / CUDA Image Processing Augmentations for training.
conda create -n cuda-python-aug python=3.7
conda activate cuda-python-aug
conda install pip
conda install -c nvidia cuda-python
#pillow simd requirements
apt-get install -y \
pkg-config \
python3-dev \
libjpeg-dev \
zlib1g-dev
pip3 install pillow-simd
pip3 install imageio
pip3 install jupyter
pip3 install numpy
conda activate cuda-python-aug
jupyter notebook --no-browser --port=8888 --ip=0.0.0.0