Metadata-Version: 2.1
Name: caer
Version: 1.9.7
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">
        <!-- ![Caer Logo](https://github.com/jasmcaus/caer/blob/dev/docs/sphinx-theme/_static/thumbs/caer-logo-flat.png) -->
        <img src="https://github.com/jasmcaus/caer/blob/dev/docs/sphinx-theme/_static/thumbs/caer-logo-flat.png" alt="Caer Logo" / >
        
        ---
        
        [![Python](https://img.shields.io/pypi/pyversions/caer.svg)][py-versions]
        [![PyPI](https://badge.fury.io/py/caer.svg)][pypi-latest-version]
        [![Downloads](https://pepy.tech/badge/caer)][downloads]
        [![ReadTheDocs](https://readthedocs.org/projects/caer/badge/?version=latest)][docs]
        [![license](https://img.shields.io/github/license/jasmcaus/caer?label=license)][license]
        
        </div>
        
        # Caer - Modern Computer Vision on the Fly
        
        Caer is a *lightweight, scalable* Computer Vision library for high-performance AI research. It simplifies your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you the flexibility to quickly prototype deep learning models or research ideas. 
        
        Our 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:
        
        ```bash
        $ 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/
        
        [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
