Machine Learning for OpenCV 4 - Second Edition

Master the skill of creating intelligent computer vision applications with 'Machine Learning for OpenCV 4'. This comprehensive book introduces machine learning algorithms, seamlessly integrates them with OpenCV 4 and scikit-learn, and empowers readers to harness the latest developments in image processing, all with Python.

What this Book will help me do

• Implement supervised and unsupervised learning for image processing tasks.
• Effectively use scikit-learn in Python for training and applying machine learning models.
• Gain foundational knowledge of decision trees, support vector machines, and Bayesian classifiers.
• Train, evaluate, and optimize deep learning and ensemble learning models for computer vision.
• Apply advanced Intel OpenVINO integrations to accelerate model inference within OpenCV 4 applications.

Author(s)

The book's authors are seasoned experts in the field of computer vision and machine learning. They bring a wealth of experience from both academic research and industry applications. Their pedagogical approach is centered around real-world use cases and hands-on problem solving, making intricate concepts comprehensible.

Who is it for?

This book is ideal for computer vision engineers, machine learning practitioners, and technology enthusiasts aiming to advance their applications of OpenCV. It suits individuals with moderate programming experience, particularly in Python, ready to harness machine learning for innovative solutions in image processing and beyond.