Computer Vision with
This book is a thorough guide for developers who want to get started with building computer vision applications using 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using , and Getting Hands on. Throughout this book, three image processing libraries Pillow, Scikit-Image, and will be used to implement different computer vision algorithms.
The book aims to equip readers to build Computer Vision applications that are capable of working in real-world scenarios effectively. Some of the applications that we will look at in the book are Optical Character Recognition, Object Tracking and building a Computer Vision as a Service platform that works over the internet.
What you will learn
Working with open source libraries such Pillow, Scikit-image, and OpenCV
Writing programs such as edge detection, color processing, image feature extraction, and more
Implementing feature detection algorithms like LBP and ORB
Tracking objects using an external camera or a video file
Optical Character Recognition using Machine Learning.
Understanding Convolutional Neural Networks to learn patterns in images
Leveraging Cloud Infrastructure to provide Computer Vision as a Service
标签：OpenCV, Python, 机器学习, 计算机视觉