%global _empty_manifest_terminate_build 0 Name: python-django-rgd-fmv 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/37/dc/9d21c42a3d1220a65de84bc3dbdb1fc79517b47c5c909c58f5ca15820733/django-rgd-fmv-0.3.11.tar.gz BuildArch: noarch Requires: python3-django-rgd Requires: python3-numpy Requires: python3-kwiver Requires: python3-opencv-python-headless Requires: python3-pyproj %description [![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/) # Resonant GeoData Full Motion Video (FMV) [![Kitware](https://img.shields.io/badge/Made%20by-Kitware-blue)](https://www.kitware.com/) [![PyPI](https://img.shields.io/pypi/v/django-rgd-fmv.svg?logo=python&logoColor=white)](https://pypi.org/project/django-rgd-fmv/) A submodule of Resonant GeoData for storing Full Motion Video (FMV) datasets ## 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-fmv ``` Add this app to your `INSTALLED_APPS` along with the core RGD app: ```py INSTALLED_APPS += [ 'django.contrib.gis', 'rgd', 'rgd_fmv', ] ``` ## Models This app adds a few additional models on top of the core app for storing FMV data - `FMV`: the base data model for ingesting FMV data. This will preprocess the video file using KWIVER to generate a `FMVMeta` record with the spatial metadata extracted. - `FMVMeta`: an automatically populated record of the data extracted from the FMV data with spatial context. ## Management Commands - `rgd_fmv_demo`: populate the database with example FMV data. - `rgd_fmv_wasabi`: populate the database with example FMV data from the WASABI project. %package -n python3-django-rgd-fmv Summary: please add a summary manually as the author left a blank one Provides: python-django-rgd-fmv BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-django-rgd-fmv [![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/) # Resonant GeoData Full Motion Video (FMV) [![Kitware](https://img.shields.io/badge/Made%20by-Kitware-blue)](https://www.kitware.com/) [![PyPI](https://img.shields.io/pypi/v/django-rgd-fmv.svg?logo=python&logoColor=white)](https://pypi.org/project/django-rgd-fmv/) A submodule of Resonant GeoData for storing Full Motion Video (FMV) datasets ## 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-fmv ``` Add this app to your `INSTALLED_APPS` along with the core RGD app: ```py INSTALLED_APPS += [ 'django.contrib.gis', 'rgd', 'rgd_fmv', ] ``` ## Models This app adds a few additional models on top of the core app for storing FMV data - `FMV`: the base data model for ingesting FMV data. This will preprocess the video file using KWIVER to generate a `FMVMeta` record with the spatial metadata extracted. - `FMVMeta`: an automatically populated record of the data extracted from the FMV data with spatial context. ## Management Commands - `rgd_fmv_demo`: populate the database with example FMV data. - `rgd_fmv_wasabi`: populate the database with example FMV data from the WASABI project. %package help Summary: Development documents and examples for django-rgd-fmv Provides: python3-django-rgd-fmv-doc %description help [![logo](https://raw.githubusercontent.com/ResonantGeoData/ResonantGeoData/main/logos/RGD_Logo.png)](https://github.com/ResonantGeoData/ResonantGeoData/) # Resonant GeoData Full Motion Video (FMV) [![Kitware](https://img.shields.io/badge/Made%20by-Kitware-blue)](https://www.kitware.com/) [![PyPI](https://img.shields.io/pypi/v/django-rgd-fmv.svg?logo=python&logoColor=white)](https://pypi.org/project/django-rgd-fmv/) A submodule of Resonant GeoData for storing Full Motion Video (FMV) datasets ## 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-fmv ``` Add this app to your `INSTALLED_APPS` along with the core RGD app: ```py INSTALLED_APPS += [ 'django.contrib.gis', 'rgd', 'rgd_fmv', ] ``` ## Models This app adds a few additional models on top of the core app for storing FMV data - `FMV`: the base data model for ingesting FMV data. This will preprocess the video file using KWIVER to generate a `FMVMeta` record with the spatial metadata extracted. - `FMVMeta`: an automatically populated record of the data extracted from the FMV data with spatial context. ## Management Commands - `rgd_fmv_demo`: populate the database with example FMV data. - `rgd_fmv_wasabi`: populate the database with example FMV data from the WASABI project. %prep %autosetup -n django-rgd-fmv-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-fmv -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