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Computer Vision on the fly. Caer simplifies training and visualizing Computer Vision models using modern best practices

Project description

Caer: 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.

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Installation

See Installation for detailed installation instructions.

Currently, caer supports releases of Python 3.6 onwards; Python 2 is not supported (nor recommended). To install the current release:

$ pip install caer

Optionally, Caer can also install canaro if you install it with pip install caer[canaro]

From Source

If you plan to develop caer yourself, or want to be on the cutting edge, you can use an editable install:

git clone https://github.com/jasmcaus/caer.git
cd caer
pip install -e . # Do this once to add the package to the Python Path

You can run the following to verify things installed correctly:

>> import caer
>> print(f'Caer version: {caer.__version__}')

Resources

All Caer wheels on PyPi are MIT-licensed

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1.7.9

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