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

• Documentation: https://usgs-astrogeology.github.io/autocnet/

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.

2. (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>

   Note, that you might want to specify either python=3.5 or python=3.6, depending on your requirements. Both are currently supported by autocnet.

3. Bring up a command line and add three channels to your conda config (~/condarc):
   • conda config --add channels conda-forge
   • conda config --add channels menpo
   • conda config --add channels usgs-astrogeology
4. Finally, install autocnet: conda install -c usgs-astrogeology autocnet-dev