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diff --git a/python-omnidata-tools.spec b/python-omnidata-tools.spec new file mode 100644 index 0000000..bd3b38e --- /dev/null +++ b/python-omnidata-tools.spec @@ -0,0 +1,196 @@ +%global _empty_manifest_terminate_build 0 +Name: python-omnidata-tools +Version: 0.0.23 +Release: 1 +Summary: Tooling for Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans +License: omnidata # Add licenses and see current list in `setup.py` +URL: https://github.com/alexsax/omnidata_tools/tree/main/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/f5/31/2748e589f1ff82f8fa42e340dd9033e04a80190562a2915f4d6b2bdc8315/omnidata_tools-0.0.23.tar.gz +BuildArch: noarch + +Requires: python3-tqdm +Requires: python3-fastcore +Requires: python3-multiprocess +Requires: python3-aria2p[tui] + +%description +# Omnidata Docs +> <strong>Quick links to docs</strong>: [ <a href='/omnidata-tools/pretrained.html'>Pretrained Models</a> ] [ <a href='/omnidata-tools/starter_dataset.html'>Starter Dataset ] [ <a href='//omnidata-tools/annotator_usage.html'>Annotator Demo</a> ] + + + +**This site is intended to be a wiki/documentation site for everything that we open-sourced from the paper.** There are three main folders: the annotator, utilities (dataloaders, download tools, pretrained models, etc), and a code dump of stuff from the paper that is just for reference. + +(Check out the main site for an overview of 'steerable datastes' and the 3D → 2D rendering pipeline). + + + +<br> + +#### Download the code +If you want to see and edit the code, then you can clone the github and install with: + +```bash +git clone https://github.com/EPFL-VILAB/omnidata-tools +cd omnidata-tools +pip install -e . # this will install the python requirements (and also install the CLI) +``` +This is probably the best option for you if you want to use the pretrained models, dataloaders, etc in other work. + +<br> + + +#### Install just CLI tools (`omnitools`) +If you are only interested in using the [CLI tools](/omnidata-tools/omnitools.html), you can install them with: `pip install omnidata-tools`. This might be preferable if you only want to quickly download the starter data, or if you just want a simple way to manipulate the vision datasets output by the annotator. + +_Note:_ The annotator can also be used with a [docker-based](/omnidata-tools/annotator_usage.html) CLI, but you don't need to use the annotator to use the starter dataset, pretrained models, or training code. + + +<br> + + +> ...were you looking for the [research paper](//omnidata.vision/#paper) or [project website](//omnidata.vision)? + +<!-- <img src="https://raw.githubusercontent.com/alexsax/omnidata-tools/main/docs/images/omnidata_front_page.jpg?token=ABHLE3LC3U64F2QRVSOBSS3BPED24" alt="Website main page" style='max-width: 100%;'/> --> + + + + +%package -n python3-omnidata-tools +Summary: Tooling for Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans +Provides: python-omnidata-tools +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-omnidata-tools +# Omnidata Docs +> <strong>Quick links to docs</strong>: [ <a href='/omnidata-tools/pretrained.html'>Pretrained Models</a> ] [ <a href='/omnidata-tools/starter_dataset.html'>Starter Dataset ] [ <a href='//omnidata-tools/annotator_usage.html'>Annotator Demo</a> ] + + + +**This site is intended to be a wiki/documentation site for everything that we open-sourced from the paper.** There are three main folders: the annotator, utilities (dataloaders, download tools, pretrained models, etc), and a code dump of stuff from the paper that is just for reference. + +(Check out the main site for an overview of 'steerable datastes' and the 3D → 2D rendering pipeline). + + + +<br> + +#### Download the code +If you want to see and edit the code, then you can clone the github and install with: + +```bash +git clone https://github.com/EPFL-VILAB/omnidata-tools +cd omnidata-tools +pip install -e . # this will install the python requirements (and also install the CLI) +``` +This is probably the best option for you if you want to use the pretrained models, dataloaders, etc in other work. + +<br> + + +#### Install just CLI tools (`omnitools`) +If you are only interested in using the [CLI tools](/omnidata-tools/omnitools.html), you can install them with: `pip install omnidata-tools`. This might be preferable if you only want to quickly download the starter data, or if you just want a simple way to manipulate the vision datasets output by the annotator. + +_Note:_ The annotator can also be used with a [docker-based](/omnidata-tools/annotator_usage.html) CLI, but you don't need to use the annotator to use the starter dataset, pretrained models, or training code. + + +<br> + + +> ...were you looking for the [research paper](//omnidata.vision/#paper) or [project website](//omnidata.vision)? + +<!-- <img src="https://raw.githubusercontent.com/alexsax/omnidata-tools/main/docs/images/omnidata_front_page.jpg?token=ABHLE3LC3U64F2QRVSOBSS3BPED24" alt="Website main page" style='max-width: 100%;'/> --> + + + + +%package help +Summary: Development documents and examples for omnidata-tools +Provides: python3-omnidata-tools-doc +%description help +# Omnidata Docs +> <strong>Quick links to docs</strong>: [ <a href='/omnidata-tools/pretrained.html'>Pretrained Models</a> ] [ <a href='/omnidata-tools/starter_dataset.html'>Starter Dataset ] [ <a href='//omnidata-tools/annotator_usage.html'>Annotator Demo</a> ] + + + +**This site is intended to be a wiki/documentation site for everything that we open-sourced from the paper.** There are three main folders: the annotator, utilities (dataloaders, download tools, pretrained models, etc), and a code dump of stuff from the paper that is just for reference. + +(Check out the main site for an overview of 'steerable datastes' and the 3D → 2D rendering pipeline). + + + +<br> + +#### Download the code +If you want to see and edit the code, then you can clone the github and install with: + +```bash +git clone https://github.com/EPFL-VILAB/omnidata-tools +cd omnidata-tools +pip install -e . # this will install the python requirements (and also install the CLI) +``` +This is probably the best option for you if you want to use the pretrained models, dataloaders, etc in other work. + +<br> + + +#### Install just CLI tools (`omnitools`) +If you are only interested in using the [CLI tools](/omnidata-tools/omnitools.html), you can install them with: `pip install omnidata-tools`. This might be preferable if you only want to quickly download the starter data, or if you just want a simple way to manipulate the vision datasets output by the annotator. + +_Note:_ The annotator can also be used with a [docker-based](/omnidata-tools/annotator_usage.html) CLI, but you don't need to use the annotator to use the starter dataset, pretrained models, or training code. + + +<br> + + +> ...were you looking for the [research paper](//omnidata.vision/#paper) or [project website](//omnidata.vision)? + +<!-- <img src="https://raw.githubusercontent.com/alexsax/omnidata-tools/main/docs/images/omnidata_front_page.jpg?token=ABHLE3LC3U64F2QRVSOBSS3BPED24" alt="Website main page" style='max-width: 100%;'/> --> + + + + +%prep +%autosetup -n omnidata-tools-0.0.23 + +%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-omnidata-tools -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.23-1 +- Package Spec generated |