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https://github.com/jasmcaus/caer

High-performance Vision library in Python. Scale your research, not boilerplate.
https://github.com/jasmcaus/caer

ai artificial-intelligence augmentation caer computer-vision cuda data-science deep-learning gpu image-classification image-processing image-segmentation machine-learning neural-network opencv python segmentation type-checking video-processing vision

Last synced: about 12 hours ago
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High-performance Vision library in Python. Scale your research, not boilerplate.

Host: GitHub
URL: https://github.com/jasmcaus/caer
Owner: jasmcaus
License: mit
Created: 2020-08-06T18:36:14.000Z (over 4 years ago)
Default Branch: dev
Last Pushed: 2023-10-13T12:16:35.000Z (about 1 year ago)
Last Synced: 2025-01-04T01:09:42.244Z (8 days ago)
Topics: ai, artificial-intelligence, augmentation, caer, computer-vision, cuda, data-science, deep-learning, gpu, image-classification, image-processing, image-segmentation, machine-learning, neural-network, opencv, python, segmentation, type-checking, video-processing, vision
Language: Python
Homepage: https://caer.readthedocs.io
Size: 247 MB
Stars: 778
Watchers: 20
Forks: 102
Open Issues: 2
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Codeowners: .github/CODEOWNERS

Awesome Lists containing this project

awesome-python-machine-learning-resources - GitHub - 13% open · ⏱️ 13.10.2021): (图像数据与CV)

README

        




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[![Python](https://img.shields.io/pypi/pyversions/caer.svg)][py-versions]

[![PyPI](https://badge.fury.io/py/caer.svg)][pypi-latest-version]

[![Twitter](https://img.shields.io/twitter/follow/jasmcaus.svg?style=flatl&label=Follow&logo=twitter&logoColor=white&color=1da1f2)][twitter-badge]

[![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]



# 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 |

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)

```



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