Cardboard Camera Toolkit

A webapp for splitting/joining photos from Cardboard Camera to/from a stereo pair and audio file.

Available here: http://cctoolkit.vectorcult.com/

Installation and setup

The server will run on Linux, OS X and probably other Unix-like systems.

git clone https://bitbucket.org/pansapiens/cardboardcam.git
cd cardboardcam

Create a virtualenv and install dependencies:

# (Ubuntu/Debian)
sudo apt-get install libexempi3
sudo apt-get install python-virtualenv python3-pip

# (Homebrew on OS X)
brew install exempi pyenv-virtualenv

mkvirtualenv -p $(which python3) ~/.virtualenvs/cardboardcam
source ~/.virtualenvs/cardboardcam/bin/activate
pip install -U -r requirements.txt

Edit cardboardcam/settings.py, specifically changing SECRET_KEY, GOOGLE_ANALYTICS_TRACKING_ID and if running in production, APP_BASE.

Running the server

Run the server in development mode accessible only from localhost using:

python3 manage.py runserver

Or, in development mode accessible from any host (not recommended if this port is publicly accessible):

python3 manage.py runserver -h 0.0.0.0

Or, to run the server in production mode (usually proxied behind nginx):

ENV=prod python3 wsgi.py

You can connect to the running server at: http://127.0.0.1:5000/

Development notes

Most of the main business logic is in cardboardcam/controllers/main.py and cardboardcam/static/js/main.js.

When running in production, Javascript and CSS is bundled and minified upon startup, as defined in cardboardcam/assets.py. If you modifiy the Javascript or CSS in production the server must be restarted to re-bundle.

Acknowledgements

Initial Flask app template from: https://jackstouffer.github.io/Flask-Foundation/

"Man with Axe with Cardboard" image modified by /u/Zombieist, based on a Public Domain image.

License

BSD. See LICENSE.md