rodrigorsdc/inacity

INACITY python's implementation

INACITY

INACITY (an acronym for INvestigate and Analyze a City) is a platform that aims to combine urban imagery and Computer Vision into a modern Geographic Information System. It was designed to be scalable in the sense that coupling different imaging platforms, GISes databases and Computer Vision filters can be easily done.

Installation/Deploy

We make available a docker-compose.yml file that can be used to instantiate a docker container to hold INACITY's server and another one to hold the postgreSQL database used by INACITY.

Pre-requirements:

• A working docker instalation.
• Share ./INACITY/django_website folder with docker's user (assuming one is available) or at least making the folder writable to docker containers.
• Create a copy of the file ./INACITY/django_website/django_website/settings_secret_template.py (Notice that you should access the inner 'django_website' folder inside the outer 'django_website') at the same folder with the name settings_secret.py and fill the fields as requested.

You can get a signing key for Google Street View services here.

Steps to create and run the containers

1. (optional) Edit docker-compose.yml setting up exposed/published ports and/or database name/credentials. Notice that if database settings are changed then it'll be necessary to make reflect those changes at the file ./INACITY/django_website/django_website/settings.py as well (look for the variable DATABASES).
2. Go to the folder ./INACITY/django_website
3. Run 'docker-compose up'

By default INACITY will be running at localhost:80 and postgreSQL will be exposed at port 25432 to the host machine.

If you're using docker Toolbox then the address for accessing it shall be 192.168.99.100:80 assuming a default setting