Here we give a very quick rundown of the basic links and information sources for the project.
Menpo should be installable via pip on all major platforms:
$ pip install menpo
However, in the menpo team, we strongly advocate the usage of conda for scientific Python, as it makes installation of compiled binaries much more simple. In particular, if you wish to use any of the related Menpo projects such as menpofit, menpo3d or menpodetect, you will not be able to easily do so without using conda.
$ conda install -c menpo menpo
To install using conda, please see the thorough instructions for each platform on the Menpo website.
Menpo is extensively documented on a per-method/class level and much of this documentation is reflected in the API Documentation. If any functions or classes are missing, please bring it to the attention of the developers on Github.
For a more thorough set of examples, we provide a set of Jupyter notebooks that demonstrate common use cases of Menpo. This concentrates on an overview of the functionality of the major classes and ideas behind Menpo.
User Group and Issues¶
If you wish to get in contact with the Menpo developers, you can do so via various channels. If you have found a bug, or if any part of Menpo behaves in a way you do not expect, please raise an issue on Github.
If you want to ask a theoretical question, or are having problems installing or setting up Menpo, please visit the user group.