%global _empty_manifest_terminate_build 0 Name: python-django-rgd-imagery Version: 0.3.11 Release: 1 Summary: please add a summary manually as the author left a blank one License: Apache 2.0 URL: https://github.com/ResonantGeoData/ResonantGeoData Source0: https://mirrors.nju.edu.cn/pypi/web/packages/59/c3/a264cc7ac29754e16f4f441e0637fb0bf5bc8829f491915a88e6d85e0aa6/django-rgd-imagery-0.3.11.tar.gz BuildArch: noarch Requires: python3-bidict Requires: python3-django-large-image[colormaps] Requires: python3-django-rgd Requires: python3-large-image Requires: python3-large-image-source-gdal Requires: python3-large-image-source-pil Requires: python3-large-image-source-tiff Requires: python3-numpy Requires: python3-pyvips Requires: python3-shapely Requires: python3-tifftools Requires: python3-large-image-converter Requires: python3-rasterio %description [![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/) # Resonant GeoData Imagery [![Kitware](https://img.shields.io/badge/Made%20by-Kitware-blue)](https://www.kitware.com/) [![PyPI](https://img.shields.io/pypi/v/django-rgd-imagery.svg?logo=python&logoColor=white)](https://pypi.org/project/django-rgd-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 - Cloud Optimized GeoTIFF conversion utility - Extract ROIs from imagery in pixel and world coordinates %package -n python3-django-rgd-imagery Summary: please add a summary manually as the author left a blank one Provides: python-django-rgd-imagery BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-django-rgd-imagery [![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/) # Resonant GeoData Imagery [![Kitware](https://img.shields.io/badge/Made%20by-Kitware-blue)](https://www.kitware.com/) [![PyPI](https://img.shields.io/pypi/v/django-rgd-imagery.svg?logo=python&logoColor=white)](https://pypi.org/project/django-rgd-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 - Cloud Optimized GeoTIFF conversion utility - Extract ROIs from imagery in pixel and world coordinates %package help Summary: Development documents and examples for django-rgd-imagery Provides: python3-django-rgd-imagery-doc %description help [![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/) # Resonant GeoData Imagery [![Kitware](https://img.shields.io/badge/Made%20by-Kitware-blue)](https://www.kitware.com/) [![PyPI](https://img.shields.io/pypi/v/django-rgd-imagery.svg?logo=python&logoColor=white)](https://pypi.org/project/django-rgd-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 - Cloud Optimized GeoTIFF conversion utility - Extract ROIs from imagery in pixel and world coordinates %prep %autosetup -n django-rgd-imagery-0.3.11 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-django-rgd-imagery -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 0.3.11-1 - Package Spec generated