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satdetect's Introduction

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

[email protected]

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

satdetect's People

Contributors

michaelchughes avatar

Stargazers

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Watchers

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satdetect's Issues

Image for test

can you send me an example image to do the test
Thank's

Unable to parse kml file using ParseKMLIntoFlatFiles.py

I have made sure that the path I am entering is correct.
I am running this on 64-bit Linux Mint and an x86_64 architecture.

This is the error message that I am getting:

Traceback (most recent call last):
File "ParseKMLIntoFlatFiles.py", line 295, in
Scenes = ReadScenesFromKML(args.kmlfilepath)
File "ParseKMLIntoFlatFiles.py", line 112, in ReadScenesFromKML
dom = parseString(xmlstring)
File "/usr/lib/python2.7/xml/dom/minidom.py", line 1928, in parseString
return expatbuilder.parseString(string)
File "/usr/lib/python2.7/xml/dom/expatbuilder.py", line 940, in parseString
return builder.parseString(string)
File "/usr/lib/python2.7/xml/dom/expatbuilder.py", line 223, in parseString
parser.Parse(string, True)
xml.parsers.expat.ExpatError: not well-formed (invalid token): line 1, column 2

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