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Mastering OpenCV with Python : Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects - Ayush Vaishya

Mastering OpenCV with Python

Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

By: Ayush Vaishya

eText | 16 November 2023 | Edition Number 1

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Unlocking Visual Insights: OpenCV Made Simple and Powerful.

KEY FEATURES ? OpenCV Mastery: Harness the full potential of OpenCV. ? Comprehensive Coverage: From fundamentals to advanced techniques. ? Practical Exercises: Apply knowledge through hands-on tasks.

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.

WHAT WILL YOU LEARN ? Master Image Processing and Machine Learning with OpenCV using advanced Tools and Libraries. ? Create Real-World Projects with Hands-On Experience. ? Explore Machine Learning for Computer Vision. ? Develop Confidence in Practical Computer Vision Projects. ? Conquer Real-World Image Processing Challenges. ? Apply Computer Vision Across Diverse Industries. ? Boost Your Career in Computer Vision. ? Become an Expert in Computer Vision for Career Advancement.

WHO IS THIS BOOK FOR? This beginner-friendly book in computer vision requires no prior experience, making it accessible to newcomers. While a basic programming understanding is helpful, it's designed to guide individuals from diverse backgrounds into the captivating realms of AI, computer vision, and image processing. It's equally valuable for aspiring tech professionals, students, and enthusiasts seeking rewarding careers and knowledge in these cutting-edge fields.

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
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