combiz / ckaidocker

Docker Configuration for AI in Python

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Docker image for AI

GPU-enabled Jupyter Lab with Tensorflow/PyTorch/Keras/OpenCV

Build with: -

docker build -f dockerfile -t ckai .

Run using: -

docker run --gpus all --device=/dev/video0:/dev/video0 --restart unless-stopped -d -v $HOME:/data/home -p 8888:8888 ckai:latest

Or omit the --device parameter if webcam forwarding is not required.

Versions as of 07/2020

nvidia-smi

app/package version
nvidia-smi 450.51.05
driver 450.51.05
CUDA 11.0

nvcc --version cuda compilation tools, release 10.2, V10.2.89

python package.__version__

app/package version
tensorflow 1.13.1
torch 1.5.1
keras 2.3.1
cv2 4.3.0

torch.cuda.is_available() True

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Docker Configuration for AI in Python