No project description provided
Project description
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:
INSTALLED_APPS += [
'django.contrib.gis',
'rgd',
'rgd_imagery',
]
Configurations
The RGD imagery submodule has an optional setting:
RGD_STAC_BROWSER_LIMIT
: (default of 1000) limit the response of STAC collection queries. An exception will be raised if a collection is requested with more than this many items.
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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for django_rgd_imagery-0.2.7-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 43b027f4bd99f08a252081dc65bafadbb3999c25b8ef64fb10745106037002a2 |
|
MD5 | 3ee2e088d0fcd4ecdd8d4109f5e80f34 |
|
BLAKE2b-256 | 18428b7f0513c3bb872d28dc4c229644a7636813a7cc61acea67619b26a98999 |