It is required to use private git repositories. The university offers free private repositories here or you can get 5 GitHub repositories for free as a student.

First clone this repository:

$ git clone --origin upstream https://github.com/BildverarbeitungSS18/Hausaufgaben

Get into the new folder

$ cd Hausaufgaben

Add your remote

$ git remote add origin <your git repo url>

Please clear the notebook's output before committing. Otherwise the repository size can get pretty big. The best thing is to setup a pre-commit hook that removes the outputs before the files are committed:

$ ln -s ../../nb_strip_output.py .git/hooks/pre-commit

Otherwise you manually clean the output with Cell -> All Output -> Clear or use the nb_strip_output.py <filename> script.

To get the latest assignments into your repository see how to sync a fork.

Paste a link to your repository into the kvv assignment box. Make sure that I have read and write rights on your repository.

Please give us read access to your repository. Add 'garlicpasta' and 'BildverarbeitungSS18' on github or 'jakobkrause' as well as 'nbobenko' on fu gitlab.

Docker

There exists a script for a docker image. All the libraries we will use are included in this image. It is recommended to use the image, but you are free to setup the environment for yourself.

First install docker on your computer.

Build the image:

$ ./docker_build.sh

The build script will create a user with your username and uid inside the image. It may take some minutes until the image is built.

If you don't have a bash you can manually edit the Dockerfile.sample. See the docker documentation for details

To run the image:

$ ./docker_start.sh

Now visit localhost:8888. Jupyter Notebook should be ready to use.