Using Flask, Twitter Bootstrap, and Heroku

• Followed this brilliant intro to setting up a web app on Heroku, using Flask and Twitter Bootstrap: http://ryaneshea.com/lightweight-python-apps-with-flask-twitter-bootstrap-and-heroku

• Trick for getting matplotlib to install after numpy -- see: https://gist.github.com/mt3/3680810

• Direct to S3 uploads: https://devcenter.heroku.com/articles/s3-upload-python

• Code of uploading files using Flask: http://flask.pocoo.org/docs/patterns/fileuploads/

• General info on using python on Heroku: https://devcenter.heroku.com/articles/python

• Info on setting up a virtualenv and flask on dreamhost: http://wiki.dreamhost.com/Passenger_WSGI http://wiki.dreamhost.com/Flask

• using Flask and boostrap: https://github.com/mbr/flask-bootstrap and http://www.andrewsturges.com/2012/08/installing-twitter-bootstrap-in-flask-09.html

• using Flask and jQuery file upload: https://github.com/blueimp/jQuery-File-Upload/wiki/Flask

• basic file uploads with Flask: http://flask.pocoo.org/docs/patterns/fileuploads/

• great introduction to flask: http://flask.pocoo.org/docs/quickstart/

• nice example of using Flask to upload to S3: http://thefort.org/a/using-flask-flask-wtf-and-boto-to-handle-file-uploads-to-amazon-s3/

• entire monogdb based image upload system https://github.com/DarkSector/profilebuilder

• setting up a virtualenv and flask on dreamhost: http://wiki.dreamhost.com/Flask and http://wiki.dreamhost.com/Passenger_WSGI and http://www.ricksresources.com/2012/07/writing-wsgi-apps-on-dreamhost-shared-hosting/ and http://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world

• handling oversized file sizes in flask / catching errors: http://flask.pocoo.org/docs/patterns/fileuploads/

Craig's code for doing the ndvi conversion

• StuporBlue to NDVI conversion: https://gist.github.com/cversek/5616453

• Tunable gaussian HSV colormap functions: https://gist.github.com/cversek/5622365

Image Processing in Python

• relevant tutorial for using matplotlib for image processing: http://matplotlib.org/users/image_tutorial.html

• relevant tutorial for generating color maps from vectors in matplotlib: http://www.scipy.org/Cookbook/Matplotlib/ColormapTransformations

• default colormaps in matplotlib: http://www.scipy.org/Cookbook/Matplotlib/Show_colormaps

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

• http://infrapix.herokuapp.com/
• https://github.com/dwblair/infrapix

Installing into Local Virtualenv Development 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

Check out the code or website from GitHub sudo apt-get install git git clone https://github.com/dwblair/infrapix.git

Run locally cd infrapix python runLocally.py

Open browser to url http://127.0.0.1:5000/ to test the web app!

test images for command-line utility

resultant images from command-line utility