DESCRIPTION
This book is an in-depth guide that merges machine learning techniques with OpenCV, the most popular computer vision library, using Python. The book introduces fundamental concepts in machine learning and computer vision, progressing to practical implementation with OpenCV. Concepts related to image preprocessing, contour and thresholding techniques, motion detection and tracking are explained in a step-by-step manner using code and output snippets.
Hands-on projects with real-world datasets will offer you an invaluable experience in solving OpenCV challenges with machine learning. It's an ultimate guide to explore areas like deep learning, transfer learning, and model optimization, empowering readers to tackle complex tasks. Every chapter offers practical tips and tricks to build effective ML models.
TABLE OF CONTENTS
1. Getting Started with HTML, CSS, and Tailwind CSS
2. Design Principles for Tailwind CSS
3. Utility-First Classes and Customization Options
4. Element-Specific Styling with Utility- First Classes
5. Developing a Website with Tailwind CSS
6. Advanced Website Development with Tailwind CSS
7. Best Practices for Tailwind CSS
Index
