Dive into the fascinating world of teaching machines to "see" with Computer Vision with OpenCV and Python: Beginner to Advanced, a comprehensive, hands-on guide that transforms you from a novice coder to a skilled builder of intelligent visual systems. Whether you're a hobbyist experimenting with photo edits, a student exploring AI applications, or a professional aiming to automate tasks like object tracking, this book equips you with practical tools and real-world projects to master the art of image and video analysis.
Starting with the fundamentals, you'll learn how to set up your Python environment, load and manipulate images, and apply essential transformations like resizing, rotating, and filtering. As you progress, delve into advanced techniques such as edge detection, contour analysis, and feature extraction, paving the way for sophisticated applications. Unlock the power of face recognition using proven algorithms, build emotion detection systems that interpret human expressions in real time, and create capstone projects like an interactive image editor, a mood-tracking video app, and a privacy-focused face-blurring tool.
What sets this book apart is its project-based approach: every chapter includes step-by-step code examples, exercises, and challenges to reinforce your learning, ensuring you build a portfolio of functional apps. Drawing from everyday scenarios—such as enhancing security cameras, analyzing medical scans, or powering augmented reality filters—you'll see how these skills drive innovations in autonomous vehicles, retail, healthcare, and beyond. With clear explanations, troubleshooting tips, and optimization strategies, this guide makes complex concepts accessible while encouraging experimentation and creativity.
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Starting with the fundamentals, you'll learn how to set up your Python environment, load and manipulate images, and apply essential transformations like resizing, rotating, and filtering. As you progress, delve into advanced techniques such as edge detection, contour analysis, and feature extraction, paving the way for sophisticated applications. Unlock the power of face recognition using proven algorithms, build emotion detection systems that interpret human expressions in real time, and create capstone projects like an interactive image editor, a mood-tracking video app, and a privacy-focused face-blurring tool.
What sets this book apart is its project-based approach: every chapter includes step-by-step code examples, exercises, and challenges to reinforce your learning, ensuring you build a portfolio of functional apps. Drawing from everyday scenarios—such as enhancing security cameras, analyzing medical scans, or powering augmented reality filters—you'll see how these skills drive innovations in autonomous vehicles, retail, healthcare, and beyond. With clear explanations, troubleshooting tips, and optimization strategies, this guide makes complex concepts accessible while encouraging experimentation and creativity.
COMPUTER VISION WITH OPENCV AND PYTHON: Beginner to Advanced Hands-On Guide to Mastering Image Manipulation, Face Recognition, and Emotion Detection Projects
Dive into the fascinating world of teaching machines to "see" with Computer Vision with OpenCV and Python: Beginner to Advanced, a comprehensive, hands-on guide that transforms you from a novice coder to a skilled builder of intelligent visual systems. Whether you're a hobbyist experimenting with photo edits, a student exploring AI applications, or a professional aiming to automate tasks like object tracking, this book equips you with practical tools and real-world projects to master the art of image and video analysis.
Starting with the fundamentals, you'll learn how to set up your Python environment, load and manipulate images, and apply essential transformations like resizing, rotating, and filtering. As you progress, delve into advanced techniques such as edge detection, contour analysis, and feature extraction, paving the way for sophisticated applications. Unlock the power of face recognition using proven algorithms, build emotion detection systems that interpret human expressions in real time, and create capstone projects like an interactive image editor, a mood-tracking video app, and a privacy-focused face-blurring tool.
What sets this book apart is its project-based approach: every chapter includes step-by-step code examples, exercises, and challenges to reinforce your learning, ensuring you build a portfolio of functional apps. Drawing from everyday scenarios—such as enhancing security cameras, analyzing medical scans, or powering augmented reality filters—you'll see how these skills drive innovations in autonomous vehicles, retail, healthcare, and beyond. With clear explanations, troubleshooting tips, and optimization strategies, this guide makes complex concepts accessible while encouraging experimentation and creativity.
Starting with the fundamentals, you'll learn how to set up your Python environment, load and manipulate images, and apply essential transformations like resizing, rotating, and filtering. As you progress, delve into advanced techniques such as edge detection, contour analysis, and feature extraction, paving the way for sophisticated applications. Unlock the power of face recognition using proven algorithms, build emotion detection systems that interpret human expressions in real time, and create capstone projects like an interactive image editor, a mood-tracking video app, and a privacy-focused face-blurring tool.
What sets this book apart is its project-based approach: every chapter includes step-by-step code examples, exercises, and challenges to reinforce your learning, ensuring you build a portfolio of functional apps. Drawing from everyday scenarios—such as enhancing security cameras, analyzing medical scans, or powering augmented reality filters—you'll see how these skills drive innovations in autonomous vehicles, retail, healthcare, and beyond. With clear explanations, troubleshooting tips, and optimization strategies, this guide makes complex concepts accessible while encouraging experimentation and creativity.
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COMPUTER VISION WITH OPENCV AND PYTHON: Beginner to Advanced Hands-On Guide to Mastering Image Manipulation, Face Recognition, and Emotion Detection Projects
COMPUTER VISION WITH OPENCV AND PYTHON: Beginner to Advanced Hands-On Guide to Mastering Image Manipulation, Face Recognition, and Emotion Detection Projects
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Product Details
| BN ID: | 2940185095515 |
|---|---|
| Publisher: | Kirstin Hahn |
| Publication date: | 10/27/2025 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 333 KB |
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