Activity of opencv/opencv repository

Barely warm 〽️

Contribution activity is decreasing

Activity badge for opencv/opencv repository

Why opencv/opencv is barely warm?

The result is based on ratio of number of commits from initial and final time ranges.

Initial time range – from 21 Apr, 2023 to 22 Jul, 2023

Final time range – from 21 Jan, 2024 to 21 Apr, 2024

Additions and deletions stats are not available for this repository due to GitHub API limitations.

Data calculated on 21 Apr, 2024

Summary of opencv/opencv

The OpenCV/opencv GitHub repository hosts the source code for the Open Source Computer Vision Library, also known as OpenCV. This library includes several hundreds of computer vision algorithms. Users can use these algorithms in their programs, under the terms of a BSD license.

With more than 47,500 stars and 34,000 forks at the time of writing, this repository has massive community support and contributions.

The OpenCV library contains more than 2500 optimized algorithms for image and video analysis, including classic algorithms like face detection, object detection, and extraction of 3D models of objects. It also includes state-of-the-art computer vision and machine learning algorithms like machine learning, gesture recognition, tracking, and human-computer interaction.

OpenCV is written in C++ and its primary interface is in C++, but there are also bindings in Python, Java and MATLAB/OCTAVE. With OpenCV, users can write efficient tools with a focus on real-time applications, and it can take advantage of multi-core processing and hardware acceleration if available.

The OpenCV/opencv GitHub repository provides extensive documentation and tutorials for using the library, and it is widely regarded as a fundamental resource for computer vision tasks.

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