Contribution activity and bus factor of opencv/opencv

Go to opencv/opencv (will open in new window) | Explore other repositories

Stable ✅

Constant contribution activity

Why opencv/opencv is stable?

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

Initial time range – from 5 Jul, 2023 to 5 Oct, 2023

Final time range – from 5 Apr, 2024 to 5 Jul, 2024

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

Data calculated on 5 Jul, 2024

Bus factor of opencv/opencv

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The opencv/opencv repository has a bus factor of 20.

Low risk, knowledge is well distributed among the team members

Bus factor was measured on 14 Aug 2024

Repository summary

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.