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OpenCV (Open Source Computer Vision Library) is a widely used open-source library designed for real-time computer vision and image processing tasks. It offers a comprehensive suite of tools and algorithms that facilitate tasks such as object detection, image segmentation, and facial recognition.

Features of OpenCV:

OpenCV provides a rich set of pre-built functions for a variety of computer vision tasks, making development faster and more efficient.
The library supports multiple programming languages, including C++, Python, and Java, enabling flexibility in application development.
It offers real-time image and video processing capabilities, suitable for both research and industrial applications.
OpenCV integrates well with other libraries and tools, enhancing its versatility in various projects.

To Check version and installtion of OpenCV run following commands on your VM :
$sudo su $cd /opt/python-envs $source /opt/python-envs/myenv/bin/activate $python -c "import cv2; print(cv2.__version__)"

Disclaimer: OpenCV is open-source software maintained by the OpenCV community and licensed under the Apache License 2.0. While the software is free to use, users are advised to review and comply with licensing terms and ensure proper usage according to their local laws and business requirements. The developers and contributors to OpenCV do not hold responsibility for any damages, losses, or consequences resulting from the use of this software.

OpenCVATH Infosystems5.0(1 ratings)

OpenCV

ATH Infosystems

OpenCV

ATH Infosystems

OpenCV
ATH Infosystems
5.0(1 ratings)