Installation

We provide AutoCnet as a binary package via conda and for installation via the standard setup.py script.

Via Conda

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> && source activate <your_environment_name>

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

• conda config --add channels usgs-astrogeology

• conda config --add channels conda-forge

• conda config --add channels menpo

1. Finally, install autocnet: conda install -c usgs-astrogeology autocnet

Via setup.py

This method assumes that you have the necessary dependencies already installed. The installation of dependencies can be non-trivial because of GDAL. We supply an environment.yml file that works with Anaconda Python’s conda env environment management tool.

Manual Development Environment

To manually install AutoCnet (for example in a development environment) we must install the necessary dependencies.

1. Create a virtual environment: conda create -n autocnet && source activate autocnet

2. As above, add conda-forge to the channel list.

3. To install the planetary I/O module and the OpenCV computer vision module: conda install -c usgs-astrogeology plio opencv3

4. To install the optional VLFeature module (for SIFT): conda install -c conda-forge vlfeat 4a. To install the Cython wrapper to vlfeat: conda install -c menpo cyvlfeat 5. To install PIL and PySAL: pip install pillow pysal 6. To install additional conda packages: conda install scipy networkx numexpr dill cython pyyaml matplotlib

This ensures that all dependencies needed to run AutoCnet are availble. We also have development dependencies to support automated testing, documentation builds, etc.

1. Install Nose and Sphinx: conda install nose sphinx

2. Install coveralls: pip install coveralls

3. Install the nbsphinx plugin: pip install nbshpinx

4. Install Jupyter for notebook support: conda install jupyter