| Name | osml-imagery-toolkit JSON |
| Version |
1.4.0
JSON |
| download |
| home_page | None |
| Summary | Toolkit to work with imagery collected by satellites and UAVs |
| upload_time | 2024-10-15 17:01:28 |
| maintainer | None |
| docs_url | None |
| author | Amazon Web Services |
| requires_python | >=3.9 |
| license | MIT No Attribution Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
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| bugtrack_url |
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No requirements were recorded.
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No Travis.
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| coveralls test coverage |
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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**: common image manipulation routines
* **features**: common geospatial feature manipulation routines
## Documentation
* **APIs**: You can find the latest API documentation for the OSML Imagery Toolkit hosted [here](https://aws-solutions-library-samples.github.io/osml-imagery-toolkit/).
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 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.
## Contributing
We welcome contributions and suggestions. If you would like to submit a pull request please do so using a GitHub pull
request [here](https://github.com/aws-solutions-library-samples/osml-imagery-toolkit/pulls).
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