Machine Learning for OpenCV 4, 2nd Edition
Machine Learning for OpenCV 4:
Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition
by Aditya Sharma
English | 2019 | ISBN: 1789536308 | 420 Pages | PDF EPUB MOBI (True) | 63 MB
Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn, 2nd Edition
by Aditya Sharma
English | 2019 | ISBN: 1789536308 | 420 Pages | PDF EPUB MOBI (True) | 63 MB
You'll start by understanding the new features and setting up OpenCV 4 to build your computer vision applications. You will explore the fundamentals of machine learning and even learn to design different algorithms that can be used for image processing. Gradually, the book will take you through supervised and unsupervised machine learning. You will gain hands-on experience using scikit-learn in Python for a variety of machine learning applications. Later chapters will focus on different machine learning algorithms, such as a decision tree, support vector machines (SVM), and Bayesian learning, and how they can be used for object detection computer vision operations. You will then delve into deep learning and ensemble learning, and discover their real-world applications, such as handwritten digit classification and gesture recognition. Finally, you’ll get to grips with the latest Intel OpenVINO for building an image processing system.