classify dry/wet photos from cress.space boxes
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gpu
notebook
.gitignore
Dockerfile
aws-setup.sh
data.org
docker-compose.yml
experiments.org
readme.md
requirements.txt

readme.md

classify wet/dry cress box using CNNs on photos

intro

experiments

see experiments.org

data

see data.org

run

run (cpu)

docker-compose up

now surf to: http://localhost:8888/

you want to use the GPU version (for a lot more speed)

run (gpu)

you need: nvidia-docker

./nvidia.sh

run sth inside the docker container

docker exec -ti cress_gpu /bin/bash

The easiest way is to prepare a shell script and run this inside:

sh run.sh

run on fresh ubuntu zesty

apt install -y zip
curl -fsSL get.docker.com -o get-docker.sh && sh get-docker.sh
curl -L https://github.com/docker/compose/releases/download/1.14.0/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose
chmod a+x /usr/local/bin/docker-compose
# git clone ...
cd cress-classify
docker-compose build
docker-compose up -d
docker-compose logs main