Caffe Build for Docker for Murata Laboratory's TitanX server. This allows reproducible environment using Caffe.

How to Use

1. To build docker-caffe do a git clone then cd Docker folder and run make all
2. run ./run.sh located at the root folder to launch caffe in Bash environment
3. Finally, simply type jupyter notebook --allow-root --ip="*" in the virtual environment to launch a jupyter notebook. You should be able to access the notebook from the host environment.

Notes

• Feel free to modify run.sh as you see fit. The default parameters mouns pre-defined Data Volume used by me.
• /mnt/data/ contains ImageNet 2012's full data repository (~500 GB)
• caffe_models data volume consists of some caffemodels predownloaded from Caffe Model Zoo
• caffe_examples data volume consists of example scripts. Any changes made in this folder is saved and reusable next time. Please be wary when modifying previous person's work. If you wish to have your own copy, please create your own data volume.
• caffe_data data volume consists of caffe's data. Again, create your own data volume if you wish.
• Your host's home folder will be automatically mounted to /home/<yourusername>/mnt to prevent any conflict with your host's environment init files. Feel free to modify this as you see fit.