Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects (English Edition) - Softcover

Vaishya, Ayush

Softcover

ISBN 10: 9390475791 ISBN 13: 9789390475797

Publisher: Orange Education Pvt Ltd, 2023

Synopsis

Unlocking Visual Insights: OpenCV Made Simple and Powerful.

Book Description
"Mastering OpenCV with Python" immerses you in the captivating realm of computer vision, with a structured approach that equips you with the knowledge and skills essential for success in this rapidly evolving field.

From grasping the fundamental concepts of image processing and OpenCV to mastering advanced techniques such as neural networks and object detection, you will gain a comprehensive understanding. Each chapter is enriched with hands-on exercises and real-world projects, ensuring the acquisition of practical skills that can be immediately applied in your professional journey.

This book not only elevates your technical proficiency but also prepares you for a rewarding career. The technological job landscape is constantly evolving, and professionals who can harness the potential of computer vision are in high demand.

By mastering the skills and insights contained within these pages, you will be well-prepared to explore exciting career opportunities, ranging from machine learning engineering to computer vision research. This book is your ticket to a future filled with innovation and professional advancement within the dynamic world of computer vision.

Table of Contents
1. Introduction to Computer Vision
2. Getting Started with Images
3. Image Processing Fundamentals
4. Image Operations
5. Image Histograms
6. Image Segmentation
7. Edges and Contours
8. Machine Learning with Images
9. Advanced Computer Vision Algorithms
10. Neural Networks
11. Object Detection Using OpenCV
12. Projects Using OpenCV
Index

Edition details

• Publisher: Orange Education Pvt Ltd
• Publication date: 2023
• Language: English
• ISBN 10: 9390475791
• ISBN 13: 9789390475797
• Binding: Paperback
• Number of pages: 423