Skip to content

Latest commit

 

History

History
33 lines (24 loc) · 552 Bytes

File metadata and controls

33 lines (24 loc) · 552 Bytes

PyCuda-Augmentations

Test Implementations of GPU / CUDA Image Processing Augmentations for training.

setup

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

Usage

conda activate cuda-python-aug
jupyter notebook --no-browser --port=8888 --ip=0.0.0.0