https://github.com/paulhammond/avcol

App Engine image analysis
https://github.com/paulhammond/avcol

Last synced: about 1 month ago
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App Engine image analysis

• Host: GitHub
• URL: https://github.com/paulhammond/avcol
• Owner: paulhammond
• Created: 2010-08-24T06:48:30.000Z (about 14 years ago)
• Default Branch: master
• Last Pushed: 2010-08-24T06:48:44.000Z (about 14 years ago)
• Last Synced: 2023-04-12T14:31:09.645Z (over 1 year ago)
• Language: Python
• Homepage: http://www.paulhammond.org/2010/08/avcol/
• Size: 274 KB
• Stars: 8
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README

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README

        
Avcol

=====

This is the image processing code behind http://favcol.com/, an unlikely attempt to find the favorite color of Flickr by analyzing photos that have been tagged "favcol". It uses cunning to overcome limitations in the App Engine Image Manipulation API - see http://www.paulhammond.org/2010/08/avcol/ for more details.

To get a dev environment set up:

1. Install the App Engine SDK, by following the instructions at 

http://code.google.com/appengine/docs/gettingstarted/devenvironment.html

3. Hope you don't have any weird conflicts between the App Engine SDK and the Python Imaging Library.

2. Run "dev_appserver.py /path/to/avcol"

To use it:

 . Visit /html?url=http://www.example.com/image.jpg for html output.

 . Visit /json?url=http://www.example.com/image.jpg for json output.

If you've made changes and you'd like to deploy them to Google's servers:

1. sign up at http://appengine.google.com/, click "create an application" and fill in the form.

2. edit the first line of app.yaml to use your application identifier.

3. run "appcfg.py update /path/to/avcol".