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|
%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
[](https://github.com/ResonantGeoData/ResonantGeoData/)
# Resonant GeoData Imagery
[](https://www.kitware.com/)
[](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
[](https://github.com/ResonantGeoData/ResonantGeoData/)
# Resonant GeoData Imagery
[](https://www.kitware.com/)
[](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
[](https://github.com/ResonantGeoData/ResonantGeoData/)
# Resonant GeoData Imagery
[](https://www.kitware.com/)
[](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
* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.3.11-1
- Package Spec generated
|
