Metadata-Version: 2.1
Name: caer
Version: 1.9.0
Summary: Modern Computer Vision on the Fly. Caer simplifies the training and visualization of Computer Vision models using modern best practices
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://github.com/jasmcaus/caer/blob/master/docs/README.md
Project-URL: Source Code, https://github.com/jasmcaus/caer
Description: # Caer -  Modern Computer Vision on the Fly
        
        A Computer Vision library in Python with powerful image and video processing operations.
        Caer is a set of utility functions designed to help speed up your Computer Vision workflow. Functions inside `caer` will help reduce the number of calculation calls your code makes, ultimately making it neat, concise and readable.
        
        [![Downloads](https://pepy.tech/badge/caer)](https://pepy.tech/project/caer)
        [![license](https://img.shields.io/github/license/jasmcaus/caer?label=license)][license]
        
        
        ## Install
        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 caer
        ```
        
        
        ## Getting Started
        
        ### 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 500x500 while MAINTAINING aspect ratio
        >> resized = caer.resize(sunrise, target_size=(500,500), keep_aspect_ratio=True)
        ```
        
        For more examples, see the [Caer demos](demos).
        
        ### 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. If you plan to contribute new features, utility functions, or extensions to the core, please go through our [Contribution Guidelines][contributing]. By participating, you are expected to uphold the [Code of Conduct][coc].
        
        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.
        
        
        All Caer wheels on PyPi are MIT-licensed
        
        
        [install]: https://github.com/jasmcaus/caer/blob/master/INSTALL.md
        [license]: https://github.com/jasmcaus/caer/blob/master/LICENSE
Keywords: caer,computer vision,toolkit,opencv,image processing,video processing,deep learning,machine learning
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: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
