Metadata-Version: 2.1
Name: caer
Version: 2.0.5
Summary: A lightweight Computer Vision library for high-performance AI research - Modern Computer Vision on the Fly.
Home-page: https://github.com/jasmcaus/caer
Author: Jason Dsouza
Author-email: jasmcaus@gmail.com
Maintainer: Jason Dsouza
License: MIT License
Download-URL: https://pypi.org/project/caer
Project-URL: Bug Tracker, https://github.com/jasmcaus/caer/issues
Project-URL: Documentation, https://caer.readthedocs.io/
Project-URL: Funding, https://www.paypal.me/jasmcaus
Project-URL: Source Code, https://github.com/jasmcaus/caer
Description: <div align="center">
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        ---
        
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        [![ReadTheDocs](https://readthedocs.org/projects/caer/badge/?version=latest)][docs]
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        </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
        
Keywords: caer,computer vision,toolkit,deep learning,image processing,video processing,video stablization,video streaming,machine learning,gpu,artificial intelligence,data science,machine vision,opencv,multithreading,FFMpeg
Platform: Any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: MacOS
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
