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Public Lab Wiki documentation


This is a revision from May 26, 2013 22:47. View all revisions
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Using Flask, Twitter Bootstrap, and Heroku

Craig's code for doing the ndvi conversion

Image Processing in Python

Discussion threads on processing NDVI in this manner, appropriate color tables, etc:

-https://mail.google.com/mail/u/0/#search/craig/13ec4525bc160f90?compose=13ec886588389872 - https://groups.google.com/group/plots-infrared/browse_thread/thread/dcf3a9a0518ec55e - https://groups.google.com/group/plots-infrared/browse_thread/thread/3c4ebab96e9a90ac

Test app on Heroku

Installing Local Virtualenv Dev. Environment

Install base system packages (Debian based OSes) sudo apt-get install python-dev python-virtualenv libpng-dev libfreetype6-dev

Create a virtual environment and activate it virtualenv venv --distribute source venv/bin/activate

Note that your command-line prompt may now be prepended with "(venv)". Now packages installed using pip will only be in this environment. Use the command deactivate to exit this mode. Finish installing dependencies pip install flask flask-sijax numpy matplotlib pillow