2D/3D/4D Geospatial Data API and Machine Learning System for Evaluation
A publically deployed instance of this application is available at https://www.resonantgeodata.com
ResonantGeoData is a Django application well suited for catalogging and searching annotated geospatial imagery, shapefiles, and full motion video datasets.
- Faceted searching of geospatial/temporal data
- Support for the spatial context of full motion video datasets
- Support for annotated imagery: polygons, bounding boxes, keypoints, and run-length-encoded masks
Documentation is currently a work in progress. We have created some initial usage instructions under the docs/ directory.
Specifically, we have included instructions on how to ingest data into a deployed ResonantGeoData instance.
For general questions about the project, its applications, or about software usage, please create an issue directly in this repository. You are also welcome to send us an email at [email protected] with the subject line including ResonantGeoData.
- ResonantGeoData is built on top of Kitware's Girder 4 platform.
- KWIVER: we leverage KWIVER's full motion video processing capabilities to extract spatial information from FMV files.
- KWCOCO: KWCOCO is an extension of the COCO image annotation format which we support for ingesting annotated imagery.
- GeoJS: we leverage GeoJS for our interactive map view.
large_image: we leveragelarge_imageto serve image tiles and extract thumbnails.
Please see the adjacent DEVELOPMENT.md file for all development instructions.
