Metadata-Version: 2.1
Name: django-rgd-imagery
Version: 0.2.6.dev3
Summary: UNKNOWN
Home-page: https://github.com/ResonantGeoData/ResonantGeoData
Author: Kitware, Inc.
Author-email: rgd@kitware.com
License: Apache 2.0
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Framework :: Django :: 3.0
Classifier: Framework :: Django
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: bidict
Requires-Dist: django-rgd
Requires-Dist: large-image (>=1.8.1.dev7)
Requires-Dist: large-image-source-gdal (>=1.8.1.dev7)
Requires-Dist: large-image-source-pil (>=1.8.1.dev7)
Requires-Dist: large-image-source-tiff (>=1.8.1.dev7)
Requires-Dist: tifftools (>=1.2.0)
Requires-Dist: numpy
Requires-Dist: pystac
Requires-Dist: shapely
Provides-Extra: worker
Requires-Dist: kwarray (>=0.5.10) ; extra == 'worker'
Requires-Dist: kwcoco ; extra == 'worker'
Requires-Dist: kwimage[headless] (>=0.6.7) ; extra == 'worker'
Requires-Dist: large-image-converter ; extra == 'worker'
Requires-Dist: rasterio ; extra == 'worker'

[![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/)

# Resonant GeoData Imagery

A submodule of Resonant GeoData for storing imagery supporting annotations and spatial reference.


## Installation

Follow the instructions for the core `django-rgd` app first, then

```
pip install --find-links https://girder.github.io/large_image_wheels django-rgd-imagery
```

Add this app to your `INSTALLED_APPS` along with the core RGD app:

```py
INSTALLED_APPS += [
    'django.contrib.gis',
    'rgd',
    'rgd_imagery',
]
```


## Models

This app adds quite a few additional models on top of the core app for storing image data


## Management Commands

- `rgd_imagery_demo`: populate the database with example image data (image sets, annotations, rasters, etc.).
- `rgd_imagery_landsat_rgb_s3`: populate the database with example raster data of the RGB bands of Landsat 8 imagery hosted on a public S3 bucket.


## Notable Features

- STAC Item ingest/export for raster imagery
- Image tile serving through `large_image`
- Image annotation support
- KWCOCO image archive and annotation ingest
- Cloud Optimized GeoTIFF conversion utility
- Extract ROIs from imagery in pixel and world coordinates


