Tensorflow with CV3 + Darkflow
Build the Docker image locally
git clone https://github.com/teamsoo/denseflow.git cd denseflow
docker build -t teamsoo/denseflow:cpu -f Dockerfile.cpu .
docker build -t teamsoo/denseflow:gpu -f Dockerfile.gpu .
This will build a Docker image named
denseflow and tagged either
gpu depending on the tag your specify. Also note that the appropriate
Dockerfile.<architecture> has to be used.
Running the Docker image as a Container
Once we've built the image, we have all the frameworks we need installed in it. We can now spin up one or more containers using this image, and you should be ready to go deeper
docker run -it --name denseflow teamsoo/denseflow:cpu bash
nvidia-docker run -it --name denseflow teamsoo/denseflow:gpu bash
Note the use of
nvidia-docker rather than just