AutoCNet

Automated sparse control network generation to support photogrammetric control of planetary image data.

• Documentation: https://autocnet.readthedocs.org.

Installation Instructions

We suggest using Anaconda Python to install Autocnet within a virtual environment. These steps will walk you through the process.

1. [Download](https://www.continuum.io/downloads) and install the Python 3.x Miniconda installer. Respond Yes when prompted to add conda to your BASH profile.

1. (Optional) We like to sequester applications in their own environments to avoid any dependency conflicts. To do this:

• conda create -n <your_environment_name> python=3 && source activate <your_environment_name>

1. Bring up a command line and add three channels to your conda config (~/condarc):

• conda config --add channels conda-forge
• conda condig --add channels jlaura
• conda config --add channels menpo

1. Finally, install autocnet: conda install -c jlaura autocnet-dev