OpenCV

Provides over 2500 algorithms for real-time computer vision and machine learning applications, with cross-platform support and optimized for performance.
Computer Vision Artificial Intelligence Machine Learning

OpenCV is a real-time optimized computer vision library, providing tools and hardware for model execution in Machine Learning and Artificial Intelligence applications. As an open-source project, it offers over 2500 algorithms and is operated by the non-profit Open Source Vision Foundation.

OpenCV is highly optimized for real-time applications and supports cross-platform functionality through C++, Python, and Java interfaces on Linux, MacOS, Windows, iOS, and Android systems. It is free for commercial use under the Apache 2 License.

Some key services offered by OpenCV include:

  • OpenCV.ai: Market-leading Computer Vision solutions *OpenCV University: Learning platform for Computer Vision, Deep Learning, and AI *OpenCV Face Recognition: Integration of top-rated Face Recognition technology

OpenCV University provides various courses and programs for mastering Computer Vision, AI, and related technologies. These courses include hands-on learning with assignments and projects. Some examples of courses and programs are:

*Mastering OpenCV with Python: 21 modules covering Image Processing and Computer Vision *Deep Learning with PyTorch: Solving Computer Vision problems using PyTorch *Computer Vision & Deep Learning Applications: Building systems and applications using advanced Computer Vision and Deep Learning techniques *Fundamentals of Computer Vision & Image Processing: Building a solid understanding of OpenCV tools for Image Processing, Computer Vision, and Video Processing

Pricing for these courses varies from $149 for Mastering OpenCV with Python to $799 for Deep Learning with PyTorch. OpenCV University offers a 30-day refund policy and lifetime access to course materials.

OpenCV also provides resources like news, books, podcasts, and a media kit, making it a valuable tool for developers and professionals looking to utilize computer vision and AI in their work.

Published on June 24, 2024

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