https://github.com/johnowhitaker/bobibabber

Various utilities for automatically counting baobabs from satellite imagery ('bobibabbing') - VERY experimental
https://github.com/johnowhitaker/bobibabber

Last synced: about 2 months ago
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Various utilities for automatically counting baobabs from satellite imagery ('bobibabbing') - VERY experimental

• Host: GitHub
• URL: https://github.com/johnowhitaker/bobibabber
• Owner: johnowhitaker
• License: mit
• Created: 2014-03-06T06:29:31.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2014-03-06T08:45:04.000Z (almost 11 years ago)
• Last Synced: 2023-08-17T11:03:22.228Z (over 1 year ago)
• Language: Python
• Size: 2.62 MB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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bobibabber

==========

Various utilities for automatically counting baobabs from satellite imagery ('bobibabbing') - VERY experimental

Based around a multilayer perceptron written by Issam H. Laradji, both mlp-example and classify-cascade do pretty much the same thing - take in training images, train the neural net and then identify any points in a test image that match the classifier. 

This code is not finished, but if you really want to run it, download the latest scikit-learn, place all the .py files in the folder and run. But its probably better if you just write to me or wait for me to put it all together properly...