OpenCV is a powerful, open-source computer vision and machine learning software library. It is designed for real-time image processing, enabling developers to build applications for image recognition, object detection, and other computer vision tasks. OpenCV is widely used in research, industrial applications, and robotics.

Features of OpenCV:

• Provides a wide range of functions for image processing, computer vision, and machine learning, including object detection, image filtering, and feature extraction.
• Works on Windows, Linux, macOS, Android, and iOS, making it a versatile tool for different platforms.
• Optimized for real-time performance, allowing the handling of high-resolution video streams and large datasets efficiently.
• Built-in support for machine learning models and tools, enabling advanced tasks like face recognition, object tracking, and image classification.

For Testing OpenCV, run below commands on your VM:

cd /opt/python-envs 

source /opt/python-envs/myenv/bin/activate

python -c "import cv2; print(cv2.__version__)" 

Disclaimer: OpenCV® is an open-source project distributed under the BSD License. It is not affiliated with, endorsed by, or sponsored by any company. OpenCV is provided "as is," without any warranty, express or implied. Users are responsible for understanding and complying with licensing terms and regulations while using OpenCV.