Skip to content

michaelchughes/satdetect

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

satdetect : python object recognition from satellite images.

This Python package provides an open-source pipeline for training and evaluating object recognition systems for humanitarian purposes.

Contact

mike@michaelchughes.com

Usage

To train a detector

python -m satdetect.TrainDetector path/to/trainimage.jpg path/for/output/ [--OPTIONS]

To run a trained detector on new imagery

python -m satdetect.RunDetector path/to/image.jpg path/to/classifier.dump [--OPTIONS]

For more info, see TODO.

Dependencies

We require these python packages

  • numpy
  • scipy
  • sci-kit learn
  • sci-kit image
  • joblib (for high-quality load/dump of Python objects to disk)

Repository Organization

  • satdetect/ : module code
  • tests/ : unit-tests for module code
  • kmlutil/ : utilities for converting between KML object annotations and flat files
  • assets/ : template files for generating reports and KML visualizations

About

Prototype python code for object recognition using satellite images. Early-stage active development.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages