Read the full documentation here.
DISCLAIMER: Luminoth is still alpha-quality release, which means the internal and external interfaces (such as command line) are very likely to change as the codebase matures.
Luminoth currently supports Python 2.7 and 3.4–3.6.
If you want GPU support, you should install the GPU version of TensorFlow. If TensorFlow is is already installed, Luminoth will use that version (no matter if CPU or GPU versions).
Just install from PyPI:
$ pip install luminoth
Installing from source
First, clone the repo on your machine and then install with
$ git clone https://github.com/tryolabs/luminoth.git $ cd luminoth $ pip install -e .
Check that the installation worked
Currently, we support the following models:
There is one main command line interface which you can use with the
lumi command. Whenever you are confused on how you are supposed to do something just type:
lumi --help or
lumi <subcommand> --help
and a list of available options with descriptions will show up.
Working with datasets
See Adapting a dataset.
See Training your own model to learn how to train locally or in Google Cloud.
We strive to get useful and understandable summary and graph visualizations. We consider them to be essential not only for monitoring (duh!), but for getting a broader understanding of what's going under the hood. The same way it is important for code to be understandable and easy to follow, the computation graph should be as well.
By default summary and graph logs are saved to
jobs/ under the current directory. You can use TensorBoard by running:
tensorboard --logdir path/to/jobs
Why the name?
The Dark Visor is a Visor upgrade in Metroid Prime 2: Echoes. Designed by the Luminoth during the war, it was used by the Champion of Aether, A-Kul, to penetrate Dark Aether's haze in battle against the Ing.