https://github.com/awslabs/osml-imagery-toolkit

https://github.com/awslabs/osml-imagery-toolkit

Science Score: 26.0%

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Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: awslabs
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 14.3 MB
Statistics
  • Stars: 19
  • Watchers: 19
  • Forks: 3
  • Open Issues: 9
  • Releases: 15
Created about 3 years ago · Last pushed 10 months ago
Metadata Files
Readme Contributing License Code of conduct

README.md

OversightML Imagery Toolkit

Build Badge Python Badge GDAL Badge GitHub License PyPI - Version

The OversightML Imagery Toolkit is a Python package that contains image processing and photogrammetry routines commonly used during the analysis of imagery collected by satellites and unmanned aerial vehicles (UAVs). It builds upon GDAL by providing additional support for images compliant with the National Imagery Transmission Format (NITF), Sensor Independent Complex Data (SICD), and Sensor Independent Derived Data (SIDD) standards.

This library contains four core packages under the aws.osml namespace: * photogrammetry: convert locations between the image (x, y) and geodetic (lon, lat, elev) coordinate systems * gdal: utilities to work with datasets loaded by GDAL * image_processing: image manipulation routines including tiling, orthoimage projections, and range adjustments * features: geospatial feature indexing and property management routines

Documentation

  • APIs: You can find the latest API documentation for the OSML Imagery Toolkit hosted here. If you are working from the source code running tox -e docs will trigger the Sphinx documentation build.
  • Example Notebooks: Example notebooks for some operations are in the examples directory

Installation

This software is available through a Python Package Index. If your environment has a distribution, you should be able to install it using pip: shell pip install osml-imagery-toolkit[gdal]

If you are working from a source code, you can build and install the package from the root directory of the distribution. shell pip install .[gdal] Note that GDAL is currently required but it is listed as an extra dependency for this package. This is done to facilitate environments that either don't want to use GDAL or those that have their own custom installation steps for that library. Future versions of this package will include image IO backbones that have fewer dependencies. Beware that GDAL has been known to introduce breaking changes on minor version numbers so testing for specific version compatability is recommended. The tox build has been setup to test multiple gdal/proj/python combinations and the versions checked by automated testing can be seen in the environment-*.yml files.

Contributing

This project welcomes contributions and suggestions. If you would like to submit a pull request, see our Contribution Guide for more information.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the Apache 2.0 License. See the LICENSE file.

Owner

  • Name: Amazon Web Services - Labs
  • Login: awslabs
  • Kind: organization
  • Location: Seattle, WA

AWS Labs

GitHub Events

Total
  • Issues event: 1
  • Watch event: 1
  • Delete event: 2
  • Issue comment event: 7
  • Push event: 22
  • Pull request review event: 19
  • Pull request review comment event: 5
  • Pull request event: 26
  • Fork event: 1
  • Create event: 6
Last Year
  • Issues event: 1
  • Watch event: 1
  • Delete event: 2
  • Issue comment event: 7
  • Push event: 22
  • Pull request review event: 19
  • Pull request review comment event: 5
  • Pull request event: 26
  • Fork event: 1
  • Create event: 6

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 2
  • Total pull requests: 20
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 days
  • Total issue authors: 2
  • Total pull request authors: 6
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.4
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 2
  • Pull requests: 20
  • Average time to close issues: N/A
  • Average time to close pull requests: 6 days
  • Issue authors: 2
  • Pull request authors: 6
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.4
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 1
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  • edparris (3)
  • jtblack-aws (2)
  • drduhe (1)
  • Azure-Axolotl (1)
  • dependabot[bot] (1)
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