This book is a comprehensive guide to learning the basics of computer vision and machine learning using the powerful OpenCV library and the Python programming language. The book offers a practical, hands-on approach to learn the concepts and techniques of computer vision through practical example. All codes in this book are available at Github.Through a series of examples, the book covers a wide range of topics including image and video processing, feature detection, object detection and recognition, machine learning and deep neural networks. Each chapter includes detailed explanations of the concepts and techniques involved, as well as practical examples and code snippets that demonstrate how to implement them in Python. Throughout the book, readers will work through hands-on examples and projects, learning how to build image processing applications from scratch.Whether you are a beginner or an experienced programmer, this book provides a valuable resource for learning computer vision with OpenCV and Python. The clear and concise writing style makes it easy for readers to follow along, and the numerous examples ensure that readers can practice and apply what they have learned. By the end of the book, readers will have a solid understanding of the fundamentals of computer vision and be able to build their own computer vision applications with confidence. This book is an excellent resource for anyone looking to learn computer vision and machine learning using the OpenCV library and Python programming language.Table of Contents1. Introduction 51.1 What Is Computer Vision and OpenCV 51.2 Target Audients of This Book 81.3 Source Codes for This Book 91.4 Hardware Requirements and Software Versions 101.5 How This Book Is Organized 112. Installation 132.1 Install on Windows 142.2 Install Python on Ubuntu 162.3 Configure PyCharm and Install OpenCV 183. OpenCV Basics 253.1 Load and Display Images 263.2 Load and Display Videos 303.3 Display Webcam 323.4 Image Fundamentals 353.5 Draw Shapes 423.6 Draw Texts 483.7 Draw an OpenCV-like Icon 504. User Interaction 524.1 Mouse Operations 534.2 Draw Circles with Mouse 564.3 Draw Polygon with Mouse 604.4 Crop an Image with Mouse 624.5 Input Values with Trackbars 645. Image Processing 705.1 Change Color Spaces 725.2 Resize, Crop and Rotate an Image 775.3 Adjust Contrast and Brightness of an Image 835.4 Adjust Hue, Saturation and Value 875.5 Blend Image 915.6 Bitwise Operation 945.7 Warp Image 1015.8 Blur Image 1075.9 Histogram 1146. Object Detection 1206.1 Canny Edge Detection 1226.2 Dilation and Erosion 1256.3 Shape Detection 1296.4 Color Detection 1396.5 Text Recognition with Tesseract 1506.6 Human Detection 1616.7 Face and Eye Detection 1656.8 Remove Background 1706.9 Blur Background 1897. Machine Learning 1967.1 K-Means Clustering 2007.2 K-Nearest Neighbors 2167.3 Support Vector Machine 2377.4 Artificial Neural Network (ANN) 2547.5 Convolutional Neural Network (CNN) 276Index 305References 308About the Author 310

Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning

Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning PDF

The list of books you might like