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.

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

Ayush brings a wealth of experience spanning 5 years across AI, ML, and computer vision. His journey is marked by a strong commitment to technology deployment, guiding projects from initial design to final product. In his current role, Ayush is deeply engaged in computer vision projects showcasing his proficiency in creating advanced models for image processing. His career underscores his commitment to learning and practical application in the tech industry.

 

Kaushal Singh, an accomplished Data Scientist and AI researcher with a rich and diverse career spanning 5 years. He is currently working as an Assistant Professor and Training and Placement Officer at the Department of Computer Science and Information Technology, School of Engineering, P P Savani University, Surat, Gujarat, with a passion for harnessing the power of data and artificial intelligence, he made significant contributions to the field through research and technical expertise. Throughout his career, he delved deep into the realms of data science and artificial intelligence, honing his skills in machine learning, deep learning, and data analysis. His proficiency extends to developing state-of-the-art AI models and leveraging data-driven insights to solve complex real-world challenges. He is not only a practitioner but also dedicated researcher. He authored 8 research papers and 4 Book Chapters published in reputable journals and conferences, making substantial contributions to the advancement of AI technologies. His work particularly shines in areas like natural language processing, computer vision, and predictive analytics. Beyond his research endeavors, he also sought after technical reviewers. His keen eye for detail and extensive domain knowledge make him a valuable asset in ensuring the quality and credibility of technical content in the fields of data science and AI. He consistently provides insightful feedback to fellow researchers and peers. With 5 years of hands-on experience and a commitment to pushing the boundaries of AI, he is trying to continue to shape the landscape of data science and artificial intelligence, driving innovation and excellence in the industry.