CR-Vision: Amazing Computer Vision Pipelines

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Overview

This package is an excellent collection of modules and scripts for day to day computer vision tasks.

It builds on top of extensive ecosystem of image processing, computer vision and deep learning libraries available in Python including OpenCV, ImageIO, Pillow, TensorFlow, Keras, Scikit-Image and Scikit-Video. It also leverages other scientific computing and machine learning packages.

It uses Rx: Reactive Extensions for Python to build sophisticated, optimized, stream oriented and push based computer vision pipelines. This is great for large computer vision applications involving a number of moving and sophisticated sub-systems.

Available functionality spans following areas:

• Basic image processing operations
• A variety of filters and effects
• Basic editing of images
• Image restoration (denoising, super-resolution)
• Face detection
• Template matching
• Pedestrian detection
• Image classification
• Traffic monitoring

Installing

From PIP:

python -m pip install cr-vision

Directly from GITHUB:

python -m pip install git+https://github.com/carnotresearch/cr-vision.git

Working with the source code in development mode

Clone the repository:

git clone https://github.com/carnotresearch/cr-vision.git

Change into the code:

cd cr-vision

Ensure that the dependencies are installed:

python -m pip install -r requirements.txt

Install the package in development mode:

python -m pip install -e .

Examples

Explore the examples directory:

cd examples/basic

Run an example:

python ex_add_logo.py