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| author | CoprDistGit <infra@openeuler.org> | 2023-04-12 05:53:28 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-12 05:53:28 +0000 |
| commit | 07e25b7e70b232454c2fddf14fa290d585f6e4d8 (patch) | |
| tree | 4f62d6d66c0a9e323b8fd49e38f2d164f5fc74af /python-caer.spec | |
| parent | 7b4c8d03e5ccfe3dbf9e7d861f21acc07241a336 (diff) | |
automatic import of python-caer
Diffstat (limited to 'python-caer.spec')
| -rw-r--r-- | python-caer.spec | 319 |
1 files changed, 319 insertions, 0 deletions
diff --git a/python-caer.spec b/python-caer.spec new file mode 100644 index 0000000..622290a --- /dev/null +++ b/python-caer.spec @@ -0,0 +1,319 @@ +%global _empty_manifest_terminate_build 0 +Name: python-caer +Version: 2.0.8 +Release: 1 +Summary: A lightweight Computer Vision library for high-performance AI research - Modern Computer Vision on the Fly. +License: MIT License +URL: https://github.com/jasmcaus/caer +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/d8/d2/22ebe136e0f62bb93753c9f979fd2c899de5a0d63ca8d3afd7d8fa47dce3/caer-2.0.8.tar.gz +BuildArch: noarch + +Requires: python3-mypy +Requires: python3-numpy +Requires: python3-opencv-contrib-python +Requires: python3-typing-extensions + +%description +[][py-versions] +[][pypi-latest-version] +[][twitter-badge] +[][downloads] +[][docs] +[][license] +</div> +# Caer - Modern Computer Vision on the Fly +Caer is a *lightweight, high-performance* Vision library for high-performance AI research. We wrote this framework to simplify your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you the **flexibility** to quickly prototype deep learning models and research ideas. The end result is a library quite different in its design, that’s easy to understand, plays well with others, and is a lot of fun to use. +Our elegant, *type-checked* API and design philosophy makes Caer ideal for students, researchers, hobbyists and even experts in the fields of Deep Learning and Computer Vision. +## Overview +Caer is a Python library that consists of the following components: +| Component | Description | +| ---- | --- | +| [**caer**](https://github.com/jasmcaus/caer/) | A lightweight GPU-accelerated Computer Vision library for high-performance AI research | +| [**caer.color**](https://github.com/jasmcaus/caer/tree/master/caer/color) | Colorspace operations | +| [**caer.data**](https://github.com/jasmcaus/caer/tree/master/caer/data) | Standard high-quality test images and example data | +| [**caer.path**](https://github.com/jasmcaus/caer/tree/master/caer/path) | OS-specific path manipulations | +| [**caer.preprocessing**](https://github.com/jasmcaus/caer/tree/master/caer/preprocessing) | Image preprocessing utilities. | +| [**caer.transforms**](https://github.com/jasmcaus/caer/tree/master/caer/transforms) | Powerful image transformations and augmentations | +| [**caer.video**](https://github.com/jasmcaus/caer/tree/master/caer/video) | Video processing utilities | +<!-- | [**caer.utils**](https://github.com/jasmcaus/caer/tree/master/caer/utils) | Generic utilities | --> +<!-- | [**caer.filters**](https://github.com/jasmcaus/caer/tree/master/caer/filters) | Sharpening, edge finding, rank filters, thresholding, etc | --> +Usually, Caer is used either as: +- a replacement for OpenCV to use the power of GPUs. +- a Computer Vision research platform that provides maximum flexibility and speed. +# Installation +See the Caer **[Installation][install]** guide for detailed installation instructions (including building from source). +Currently, `caer` supports releases of Python 3.6 onwards; Python 2 is not supported (nor recommended). +To install the current release: +```shell +$ pip install --upgrade caer +``` +# Getting Started +## Minimal Example +```python +import caer +# Load a standard 640x427 test image that ships out-of-the-box with caer +sunrise = caer.data.sunrise(rgb=True) +# Resize the image to 400x400 while MAINTAINING aspect ratio +resized = caer.resize(sunrise, target_size=(400,400), preserve_aspect_ratio=True) +``` +<img src="examples/thumbs/resize-with-ratio.png" alt="caer.resize()" /> +For more examples, see the [Caer demos](https://github.com/jasmcaus/caer/blob/master/examples/) or [Read the documentation](http://caer.rtfd.io) +# Resources +- [**PyPi**](https://pypi.org/project/caer) +- [**Documentation**](https://github.com/jasmcaus/caer/blob/master/docs/README.md) +- [**Issue tracking**](https://github.com/jasmcaus/caer/issues) +# Contributing +We appreciate all contributions, feedback and issues. If you plan to contribute new features, utility functions, or extensions to the core, please go through our [Contribution Guidelines][contributing]. +To contribute, start working through the `caer` codebase, read the [Documentation][docs], navigate to the [Issues][issues] tab and start looking through interesting issues. +Current contributors can be viewed either from the [Contributors][contributors] file or by using the `caer.__contributors__` command. +# Asking for help +If you have any questions, please: +1. [Read the docs](https://caer.rtfd.io/en/latest/). +2. [Look it up in our Github Discussions (or add a new question)](https://github.com/jasmcaus/caer/discussions). +2. [Search through the issues](https://github.com/jasmcaus/caer/issues). +# License +Caer is open-source and released under the [MIT License](LICENSE). +# BibTeX +If you want to cite the framework feel free to use this (but only if you loved it 😊): +```bibtex +@article{jasmcaus, + title={Caer}, + author={Dsouza, Jason}, + journal={GitHub. Note: https://github.com/jasmcaus/caer}, + volume={2}, + year={2020-2021} +} +``` +[contributing]: https://github.com/jasmcaus/caer/blob/master/.github/CONTRIBUTING.md +[docs]: https://caer.rtfd.io +[contributors]: https://github.com/jasmcaus/caer/blob/master/CONTRIBUTORS +[coc]: https://github.com/jasmcaus/caer/blob/master/CODE_OF_CONDUCT.md +[issues]: https://github.com/jasmcaus/caer/issues +[install]: https://github.com/jasmcaus/caer/blob/master/INSTALL.md +[demos]: https://github.com/jasmcaus/caer/blob/master/examples/ +[twitter-badge]: https://twitter.com/jasmcaus +[downloads]: https://pepy.tech/project/caer +[py-versions]: https://pypi.org/project/caer/ +[pypi-latest-version]: https://pypi.org/project/caer/ +[license]: https://github.com/jasmcaus/caer/blob/master/LICENSE + +%package -n python3-caer +Summary: A lightweight Computer Vision library for high-performance AI research - Modern Computer Vision on the Fly. +Provides: python-caer +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-caer +[][py-versions] +[][pypi-latest-version] +[][twitter-badge] +[][downloads] +[][docs] +[][license] +</div> +# Caer - Modern Computer Vision on the Fly +Caer is a *lightweight, high-performance* Vision library for high-performance AI research. We wrote this framework to simplify your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you the **flexibility** to quickly prototype deep learning models and research ideas. The end result is a library quite different in its design, that’s easy to understand, plays well with others, and is a lot of fun to use. +Our elegant, *type-checked* API and design philosophy makes Caer ideal for students, researchers, hobbyists and even experts in the fields of Deep Learning and Computer Vision. +## Overview +Caer is a Python library that consists of the following components: +| Component | Description | +| ---- | --- | +| [**caer**](https://github.com/jasmcaus/caer/) | A lightweight GPU-accelerated Computer Vision library for high-performance AI research | +| [**caer.color**](https://github.com/jasmcaus/caer/tree/master/caer/color) | Colorspace operations | +| [**caer.data**](https://github.com/jasmcaus/caer/tree/master/caer/data) | Standard high-quality test images and example data | +| [**caer.path**](https://github.com/jasmcaus/caer/tree/master/caer/path) | OS-specific path manipulations | +| [**caer.preprocessing**](https://github.com/jasmcaus/caer/tree/master/caer/preprocessing) | Image preprocessing utilities. | +| [**caer.transforms**](https://github.com/jasmcaus/caer/tree/master/caer/transforms) | Powerful image transformations and augmentations | +| [**caer.video**](https://github.com/jasmcaus/caer/tree/master/caer/video) | Video processing utilities | +<!-- | [**caer.utils**](https://github.com/jasmcaus/caer/tree/master/caer/utils) | Generic utilities | --> +<!-- | [**caer.filters**](https://github.com/jasmcaus/caer/tree/master/caer/filters) | Sharpening, edge finding, rank filters, thresholding, etc | --> +Usually, Caer is used either as: +- a replacement for OpenCV to use the power of GPUs. +- a Computer Vision research platform that provides maximum flexibility and speed. +# Installation +See the Caer **[Installation][install]** guide for detailed installation instructions (including building from source). +Currently, `caer` supports releases of Python 3.6 onwards; Python 2 is not supported (nor recommended). +To install the current release: +```shell +$ pip install --upgrade caer +``` +# Getting Started +## Minimal Example +```python +import caer +# Load a standard 640x427 test image that ships out-of-the-box with caer +sunrise = caer.data.sunrise(rgb=True) +# Resize the image to 400x400 while MAINTAINING aspect ratio +resized = caer.resize(sunrise, target_size=(400,400), preserve_aspect_ratio=True) +``` +<img src="examples/thumbs/resize-with-ratio.png" alt="caer.resize()" /> +For more examples, see the [Caer demos](https://github.com/jasmcaus/caer/blob/master/examples/) or [Read the documentation](http://caer.rtfd.io) +# Resources +- [**PyPi**](https://pypi.org/project/caer) +- [**Documentation**](https://github.com/jasmcaus/caer/blob/master/docs/README.md) +- [**Issue tracking**](https://github.com/jasmcaus/caer/issues) +# Contributing +We appreciate all contributions, feedback and issues. If you plan to contribute new features, utility functions, or extensions to the core, please go through our [Contribution Guidelines][contributing]. +To contribute, start working through the `caer` codebase, read the [Documentation][docs], navigate to the [Issues][issues] tab and start looking through interesting issues. +Current contributors can be viewed either from the [Contributors][contributors] file or by using the `caer.__contributors__` command. +# Asking for help +If you have any questions, please: +1. [Read the docs](https://caer.rtfd.io/en/latest/). +2. [Look it up in our Github Discussions (or add a new question)](https://github.com/jasmcaus/caer/discussions). +2. [Search through the issues](https://github.com/jasmcaus/caer/issues). +# License +Caer is open-source and released under the [MIT License](LICENSE). +# BibTeX +If you want to cite the framework feel free to use this (but only if you loved it 😊): +```bibtex +@article{jasmcaus, + title={Caer}, + author={Dsouza, Jason}, + journal={GitHub. Note: https://github.com/jasmcaus/caer}, + volume={2}, + year={2020-2021} +} +``` +[contributing]: https://github.com/jasmcaus/caer/blob/master/.github/CONTRIBUTING.md +[docs]: https://caer.rtfd.io +[contributors]: https://github.com/jasmcaus/caer/blob/master/CONTRIBUTORS +[coc]: https://github.com/jasmcaus/caer/blob/master/CODE_OF_CONDUCT.md +[issues]: https://github.com/jasmcaus/caer/issues +[install]: https://github.com/jasmcaus/caer/blob/master/INSTALL.md +[demos]: https://github.com/jasmcaus/caer/blob/master/examples/ +[twitter-badge]: https://twitter.com/jasmcaus +[downloads]: https://pepy.tech/project/caer +[py-versions]: https://pypi.org/project/caer/ +[pypi-latest-version]: https://pypi.org/project/caer/ +[license]: https://github.com/jasmcaus/caer/blob/master/LICENSE + +%package help +Summary: Development documents and examples for caer +Provides: python3-caer-doc +%description help +[][py-versions] +[][pypi-latest-version] +[][twitter-badge] +[][downloads] +[][docs] +[][license] +</div> +# Caer - Modern Computer Vision on the Fly +Caer is a *lightweight, high-performance* Vision library for high-performance AI research. We wrote this framework to simplify your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you the **flexibility** to quickly prototype deep learning models and research ideas. The end result is a library quite different in its design, that’s easy to understand, plays well with others, and is a lot of fun to use. +Our elegant, *type-checked* API and design philosophy makes Caer ideal for students, researchers, hobbyists and even experts in the fields of Deep Learning and Computer Vision. +## Overview +Caer is a Python library that consists of the following components: +| Component | Description | +| ---- | --- | +| [**caer**](https://github.com/jasmcaus/caer/) | A lightweight GPU-accelerated Computer Vision library for high-performance AI research | +| [**caer.color**](https://github.com/jasmcaus/caer/tree/master/caer/color) | Colorspace operations | +| [**caer.data**](https://github.com/jasmcaus/caer/tree/master/caer/data) | Standard high-quality test images and example data | +| [**caer.path**](https://github.com/jasmcaus/caer/tree/master/caer/path) | OS-specific path manipulations | +| [**caer.preprocessing**](https://github.com/jasmcaus/caer/tree/master/caer/preprocessing) | Image preprocessing utilities. | +| [**caer.transforms**](https://github.com/jasmcaus/caer/tree/master/caer/transforms) | Powerful image transformations and augmentations | +| [**caer.video**](https://github.com/jasmcaus/caer/tree/master/caer/video) | Video processing utilities | +<!-- | [**caer.utils**](https://github.com/jasmcaus/caer/tree/master/caer/utils) | Generic utilities | --> +<!-- | [**caer.filters**](https://github.com/jasmcaus/caer/tree/master/caer/filters) | Sharpening, edge finding, rank filters, thresholding, etc | --> +Usually, Caer is used either as: +- a replacement for OpenCV to use the power of GPUs. +- a Computer Vision research platform that provides maximum flexibility and speed. +# Installation +See the Caer **[Installation][install]** guide for detailed installation instructions (including building from source). +Currently, `caer` supports releases of Python 3.6 onwards; Python 2 is not supported (nor recommended). +To install the current release: +```shell +$ pip install --upgrade caer +``` +# Getting Started +## Minimal Example +```python +import caer +# Load a standard 640x427 test image that ships out-of-the-box with caer +sunrise = caer.data.sunrise(rgb=True) +# Resize the image to 400x400 while MAINTAINING aspect ratio +resized = caer.resize(sunrise, target_size=(400,400), preserve_aspect_ratio=True) +``` +<img src="examples/thumbs/resize-with-ratio.png" alt="caer.resize()" /> +For more examples, see the [Caer demos](https://github.com/jasmcaus/caer/blob/master/examples/) or [Read the documentation](http://caer.rtfd.io) +# Resources +- [**PyPi**](https://pypi.org/project/caer) +- [**Documentation**](https://github.com/jasmcaus/caer/blob/master/docs/README.md) +- [**Issue tracking**](https://github.com/jasmcaus/caer/issues) +# Contributing +We appreciate all contributions, feedback and issues. If you plan to contribute new features, utility functions, or extensions to the core, please go through our [Contribution Guidelines][contributing]. +To contribute, start working through the `caer` codebase, read the [Documentation][docs], navigate to the [Issues][issues] tab and start looking through interesting issues. +Current contributors can be viewed either from the [Contributors][contributors] file or by using the `caer.__contributors__` command. +# Asking for help +If you have any questions, please: +1. [Read the docs](https://caer.rtfd.io/en/latest/). +2. [Look it up in our Github Discussions (or add a new question)](https://github.com/jasmcaus/caer/discussions). +2. [Search through the issues](https://github.com/jasmcaus/caer/issues). +# License +Caer is open-source and released under the [MIT License](LICENSE). +# BibTeX +If you want to cite the framework feel free to use this (but only if you loved it 😊): +```bibtex +@article{jasmcaus, + title={Caer}, + author={Dsouza, Jason}, + journal={GitHub. Note: https://github.com/jasmcaus/caer}, + volume={2}, + year={2020-2021} +} +``` +[contributing]: https://github.com/jasmcaus/caer/blob/master/.github/CONTRIBUTING.md +[docs]: https://caer.rtfd.io +[contributors]: https://github.com/jasmcaus/caer/blob/master/CONTRIBUTORS +[coc]: https://github.com/jasmcaus/caer/blob/master/CODE_OF_CONDUCT.md +[issues]: https://github.com/jasmcaus/caer/issues +[install]: https://github.com/jasmcaus/caer/blob/master/INSTALL.md +[demos]: https://github.com/jasmcaus/caer/blob/master/examples/ +[twitter-badge]: https://twitter.com/jasmcaus +[downloads]: https://pepy.tech/project/caer +[py-versions]: https://pypi.org/project/caer/ +[pypi-latest-version]: https://pypi.org/project/caer/ +[license]: https://github.com/jasmcaus/caer/blob/master/LICENSE + +%prep +%autosetup -n caer-2.0.8 + +%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-caer -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.8-1 +- Package Spec generated |