Learn OpenCV 4.5 with Python 3.7 by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and ML.
What This Book is About
When you searched for this book, you have already known the importance of the OpenCV/Python in the fields of computer vision, image processing and machine learning. This book begins with step-by-step instructions of installation as well as a simple Hello World, then gets into the OpenCV Basics, Image Processing, Object Detection and finally Machine Learning.
Key Features
Example for every topic, all the source codes are available in Github.
Line by line explanation of the source codes.
Focus mainly on implementation of algorithms, rather than mathematical theories.
Whom This Book Is For
This book is for people with a variety of computer programming levels, from those with very limited knowledge of computer vision to the experienced ones. The readers do not need to have previous experiences of Python/OpenCV. No matter you are a beginner or experienced programmer, as long as you want to learn OpenCV with Python, you will benefit from this book.
Table of Contents
1. Introduction
2. Installation
3. OpenCV Basics
4. User Interaction
5. Image Processing
6. Object Detection
7. Machine Learning
About the Author
Index
1140780785
When you searched for this book, you have already known the importance of the OpenCV/Python in the fields of computer vision, image processing and machine learning. This book begins with step-by-step instructions of installation as well as a simple Hello World, then gets into the OpenCV Basics, Image Processing, Object Detection and finally Machine Learning.
Key Features
Example for every topic, all the source codes are available in Github.
Line by line explanation of the source codes.
Focus mainly on implementation of algorithms, rather than mathematical theories.
Whom This Book Is For
This book is for people with a variety of computer programming levels, from those with very limited knowledge of computer vision to the experienced ones. The readers do not need to have previous experiences of Python/OpenCV. No matter you are a beginner or experienced programmer, as long as you want to learn OpenCV with Python, you will benefit from this book.
Table of Contents
1. Introduction
2. Installation
3. OpenCV Basics
4. User Interaction
5. Image Processing
6. Object Detection
7. Machine Learning
About the Author
Index
Learn OpenCV 4.5 with Python 3.7 by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and ML.
What This Book is About
When you searched for this book, you have already known the importance of the OpenCV/Python in the fields of computer vision, image processing and machine learning. This book begins with step-by-step instructions of installation as well as a simple Hello World, then gets into the OpenCV Basics, Image Processing, Object Detection and finally Machine Learning.
Key Features
Example for every topic, all the source codes are available in Github.
Line by line explanation of the source codes.
Focus mainly on implementation of algorithms, rather than mathematical theories.
Whom This Book Is For
This book is for people with a variety of computer programming levels, from those with very limited knowledge of computer vision to the experienced ones. The readers do not need to have previous experiences of Python/OpenCV. No matter you are a beginner or experienced programmer, as long as you want to learn OpenCV with Python, you will benefit from this book.
Table of Contents
1. Introduction
2. Installation
3. OpenCV Basics
4. User Interaction
5. Image Processing
6. Object Detection
7. Machine Learning
About the Author
Index
When you searched for this book, you have already known the importance of the OpenCV/Python in the fields of computer vision, image processing and machine learning. This book begins with step-by-step instructions of installation as well as a simple Hello World, then gets into the OpenCV Basics, Image Processing, Object Detection and finally Machine Learning.
Key Features
Example for every topic, all the source codes are available in Github.
Line by line explanation of the source codes.
Focus mainly on implementation of algorithms, rather than mathematical theories.
Whom This Book Is For
This book is for people with a variety of computer programming levels, from those with very limited knowledge of computer vision to the experienced ones. The readers do not need to have previous experiences of Python/OpenCV. No matter you are a beginner or experienced programmer, as long as you want to learn OpenCV with Python, you will benefit from this book.
Table of Contents
1. Introduction
2. Installation
3. OpenCV Basics
4. User Interaction
5. Image Processing
6. Object Detection
7. Machine Learning
About the Author
Index
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Learn OpenCV 4.5 with Python 3.7 by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and ML.
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Learn OpenCV 4.5 with Python 3.7 by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and ML.
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Product Details
| ISBN-13: | 9798765502242 |
|---|---|
| Publisher: | Barnes & Noble Press |
| Publication date: | 12/12/2021 |
| Pages: | 324 |
| Product dimensions: | 6.00(w) x 9.00(h) x 0.73(d) |
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