Updates readme for local tests

# AutoCNet

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

## Documentation

Is available at: https://usgs-astrogeology.github.io/autocnet/

## 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.  

2. Install the autocnet environment using the supplied environment.yml file: `conda env create -n autocnet -f environment.yml` 

3. Activate your environment: `conda activate autocnet`

4. If you are doing to develop autocnet or would like to use the bleeding edge version: `python setup.py develop`. Otherwise, `conda install -c usgs-astrogeology` autocnet.

## How to run the test suite locally

1. Install Docker

2. Get the Postgresql with Postgis container and run it `docker run --name testdb -e POSTGRES_PASSOWRD='' -e POSTGRES_USER='postgres' -p 5432:5432 -d mdillon/postgis`

3. create database template_postgis: `docker exec testdb psql -c 'create database template_postgis;' -U postgres`

4. Run the test suite.

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AutoCNet

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

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

Installation Instructions

-------------------------

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

#. [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.  

#. (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.

#. Make the newly created environment the active one:

   * ``conda activate <your_environment_name>`` (or ``source activate`` on an older conda system)

#. Bring up a command line and add three channels to your conda environment-specific config file:

   * ``conda config --env --add channels conda-forge``

   * ``conda config --env --add channels menpo``

   * ``conda config --env --add channels usgs-astrogeology``

#. Finally, install autocnet: ``conda install autocnet``