OpenCV (Open Source Computer Vision Library) is an open-source library that provides tools for real-time computer vision and image processing. It is designed to perform a variety of image and video processing tasks, such as object detection, face recognition, and image manipulation. OpenCV supports multiple programming languages, including C++, Python, and Java, making it a versatile library widely used in both academic research and industry applications.

Features of OpenCV:

• Real-time image and video processing capabilities for tasks like object detection, face recognition, and feature extraction.
• Integration with deep learning frameworks like TensorFlow and PyTorch for advanced machine learning applications.
• Comprehensive algorithms for image filtering, segmentation, and feature tracking.
• Cross-platform support for Windows, Linux, macOS, and mobile devices.
• Large community support, active development, and comprehensive documentation.

To check the version of OpenCV ,Run the following commands:

        $source myenv/bin/activate
     $pip show opencv-python

Disclaimer: OpenCV is an open-source project distributed under the Apache 2.0 License. It is developed and maintained by the OpenCV community. This information is for educational purposes only and is not affiliated with, endorsed by, or sponsored by any company.