Learning OpenCV 5 Computer Vision with Python: Build practical computer vision and machine learning applications with OpenCV 5 and Python 3, Edition 4

• Build powerful computer vision applications in concise code with OpenCV 5 and Python 3
• Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking
• Train, use, and understand machine learning models, and deploy them in the Cloud

• Install and familiarize yourself with OpenCV 5's Python 3 bindings
• Understand image processing and video analysis
• Use a depth camera to distinguish foreground and background regions
• Detect and identify objects, and track their motion in videos
• Train and use your own models to match images and classify objects
• Detect and recognize faces, and classify their age
• Build augmented reality applications, and navigate the real 3D world
• Train neural networks and deploy them as Cloud-based solutions

This book is for Python programmers who want to learn computer vision and machine learning with OpenCV 5. It is also suitable for computer vision developers, AI/ML engineers, and practitioners who want to strengthen or refresh their OpenCV skills. No prior computer vision or machine learning experience is required, but readers should be comfortable with basic Python programming.