Modern Computer Vision on the Fly. Caer simplifies the training and visualization of 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.
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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