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34
CURRENT
|
NickJemis |
October 20, 2014 10:46
| about 10 years ago
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
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
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33
|
warren |
October 02, 2013 20:28
| about 11 years ago
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
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 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
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32
|
donblair |
June 05, 2013 05:48
| over 11 years ago
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
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 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
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31
|
donblair |
June 05, 2013 05:31
| over 11 years ago
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
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 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
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30
|
cversek |
May 26, 2013 23:44
| over 11 years ago
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
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 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!
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29
|
cversek |
May 26, 2013 23:24
| over 11 years ago
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
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 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
Check out the code 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!
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28
|
cversek |
May 26, 2013 23:23
| over 11 years ago
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
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 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
Check out the code 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!
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27
|
cversek |
May 26, 2013 23:13
| over 11 years ago
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
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 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
Check out the code 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!
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26
|
cversek |
May 26, 2013 23:02
| over 11 years ago
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
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 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
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25
|
cversek |
May 26, 2013 22:47
| over 11 years ago
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
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 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
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24
|
cversek |
May 26, 2013 22:46
| over 11 years ago
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
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 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
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23
|
cversek |
May 26, 2013 22:45
| over 11 years ago
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
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 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
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22
|
cversek |
May 26, 2013 21:41
| over 11 years ago
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
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
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21
|
donblair |
May 25, 2013 22:07
| over 11 years ago
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
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 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 handling oversized file sizes in flask / catching errors:
http://flask.pocoo.org/docs/patterns/fileuploads/ 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
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20
|
donblair |
May 25, 2013 20:02
| over 11 years ago
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
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 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 handling oversized file sizes in flask / catching errors:
http://flask.pocoo.org/docs/patterns/fileuploads/
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
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19
|
donblair |
May 25, 2013 19:36
| over 11 years ago
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
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 relevant tutorial for using matplotlib for image processing:
http://matplotlib.org/users/image_tutorial.html handling oversized file sizes in flask / catching errors:
http://flask.pocoo.org/docs/patterns/fileuploads/
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
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18
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donblair |
May 25, 2013 17:20
| over 11 years ago
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
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 relevant tutorial for using matplotlib for image processing:
http://matplotlib.org/users/image_tutorial.html
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
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17
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donblair |
May 25, 2013 16:02
| over 11 years ago
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/
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 relevant tutorial for using matplotlib for image processing:
http://matplotlib.org/users/image_tutorial.html
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
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Revert |
|
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16
|
donblair |
May 25, 2013 15:19
| over 11 years ago
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
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 relevant tutorial for using matplotlib for image processing:
http://matplotlib.org/users/image_tutorial.html
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
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Revert |
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15
|
donblair |
May 25, 2013 15:18
| over 11 years ago
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
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 relevant tutorial for using matplotlib for image processing:
http://matplotlib.org/users/image_tutorial.html
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
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Revert |
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