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',
]
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-0.2.6.dev1.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | 527b0fed16ec9a3d6925b44673830c859bbfb577e2e86e1f011895fbecfa0bda |
|
MD5 | 471f5247beea1778f2bdddbd286d4edd |
|
BLAKE2b-256 | f2a4a1bef84a42b58c60cf9030648d715f4169476088830391a7a4d79f9ceb63 |
Close
Hashes for django_rgd_imagery-0.2.6.dev1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | e6e0e7aa0d40f1409c55c2338530045bb2b1a5e30759ea4de1a023fa7a9c1344 |
|
MD5 | b065ca70a8b049dfa9c1bb1539d63492 |
|
BLAKE2b-256 | ea1da27c600bf22f2d905f268ae1a7895a3314ee8ef320320d83569b57ece6b3 |