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semantic-segmentation-dockers

Install Docker CE

https://docs.docker.com/install/linux/docker-ce/ubuntu/

Install nvidia-docker 2.0

https://github.com/nvidia/nvidia-docker/wiki/Installation-(version-2.0)

Manage Docker as a non-root user

https://docs.docker.com/install/linux/linux-postinstall/

Download an official Docker image

PyTorch

https://ngc.nvidia.com/catalog/containers/nvidia:pytorch

Tensorflow

https://www.tensorflow.org/install/docker#download_a_tensorflow_docker_image

Caffe

https://github.com/BVLC/caffe/tree/master/docker

nvidia-docker run -ti bvlc/caffe:gpu caffe --version

Build a customized Docker image (optional)

git clone https://github.com/ganlumomo/semantic-segmentation-dockers.git

cd semantic-segmentation-dockers

(might need to change FROM in Dockerfile according to the official docker image)

docker build --tag [customized_image_name] .

docker build --t [customized_image_name] -f Dockerfile .

Create a container

(might need to change the last line in run_docker.bash to [image_name:tag])

bash run_docker.bash [container_name]

Open the container

docker ps -a

docker start [container_name]

docker exec -it [container_name] /bin/bash

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Dockerfiles for deep learning semantic segmentation projects, make my life easier - -

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