[(Programming Computer Vision with Python : Techniques and Libraries for Imaging and Retrieving Information)] [By (author) Jan Erik Solem] published on
If you want a basic understanding of computer vision’s underlying theory and algorithms, this hands-on introduction is the ideal place to start. As a student, researcher, hacker, or enthusiast, you’ll learn as you follow examples written in Python—the easy-to-learn language that has modules for handling images and mathematical computing and data mining on a par with commercial alternatives. Programming Computer Vision with Python teaches computer vision in broad terms that won’t bog you down in theory. Instead, you’ll find this book to be inspiring and motivating. You’ll get all the code you need, with clear explanations on how to reproduce the book’s examples and build upon them directly.
The book is good, and give some light on how to solve particular cases with different models. The drawback is that it's using python 2, and some of the content is already out of date, this version is written in 2012, by the time I read it, no newer version in 2019.
Very hands-on introduction to computer vision. You need a background in Vision or need to use in conjunction with a theory book such as "Feature Extraction & Image Processing for Computer Vision".