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

Computer Vision Tools and Applications by Carnot Research
https://github.com/carnotresearch/cr-vision

computer-vision opencv opencv-python

Last synced: about 1 month ago
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Computer Vision Tools and Applications by Carnot Research

• Host: GitHub
• URL: https://github.com/carnotresearch/cr-vision
• Owner: carnotresearch
• License: apache-2.0
• Created: 2018-07-25T06:17:12.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2021-04-25T13:32:23.000Z (about 5 years ago)
• Last Synced: 2025-08-30T19:47:26.537Z (10 months ago)
• Topics: computer-vision, opencv, opencv-python
• Language: Jupyter Notebook
• Homepage: https://cr-vision.carnotresearch.com
• Size: 80.8 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

          
CR-Vision: Amazing Computer Vision Pipelines

==============================================

* `Documentation `_

* `GITHUB `_

* `Issue Tracker `_

* `About Us `_

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

--------------------

.. highlight:: shell

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