Learning OpenCV 4 computer vision with Python 3: get to grips with tools, techniques, and algorithms for computer vision and machine learning
Computer Vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing
2020
|
| Edition: | Third edition |
| Subjects: | |
| Summary: | Computer Vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You'll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a CUI app, this book ensures you'll have opportunities for hands-on activities. Next, you'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Later, you'll develop your skills in 3D tracking and augmented reality. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you'll have the skills you need to execute real-world computer vision projects |
| Item Description: | Includes index |
| Physical Description: | v, 358 Seiten Illustrationen, Diagramme 23 cm |
| ISBN: | 9781789531619 1789531616 |
Staff View
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| 505 | 8 | |a Setting up OpenCV -- Handling files, cameras, and GUIs -- Processing images with OpenCV -- Depth estimation and segmentation -- Detecting and recognizing faces -- Retrieving images and searching using image descriptors -- Building custom object detectors -- Tracking objects -- Camera models and augmented reality -- Introduction to neural networks with OpenCV. | |
| 520 | 3 | |a Computer Vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You'll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a CUI app, this book ensures you'll have opportunities for hands-on activities. Next, you'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Later, you'll develop your skills in 3D tracking and augmented reality. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you'll have the skills you need to execute real-world computer vision projects | |
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| contents | Setting up OpenCV -- Handling files, cameras, and GUIs -- Processing images with OpenCV -- Depth estimation and segmentation -- Detecting and recognizing faces -- Retrieving images and searching using image descriptors -- Building custom object detectors -- Tracking objects -- Camera models and augmented reality -- Introduction to neural networks with OpenCV. |
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| spelling | Howse, Joseph Verfasser (DE-588)1036930688 aut Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning Joseph Howse, Joe Minichino Third edition Birmingham, UK Packt Publishing 2020 v, 358 Seiten Illustrationen, Diagramme 23 cm txt rdacontent n rdamedia nc rdacarrier Includes index Setting up OpenCV -- Handling files, cameras, and GUIs -- Processing images with OpenCV -- Depth estimation and segmentation -- Detecting and recognizing faces -- Retrieving images and searching using image descriptors -- Building custom object detectors -- Tracking objects -- Camera models and augmented reality -- Introduction to neural networks with OpenCV. Computer Vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You'll be able to put theory into practice by building apps with OpenCV 4 and Python 3. You'll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you'll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a CUI app, this book ensures you'll have opportunities for hands-on activities. Next, you'll tackle two popular challenges: face detection and face recognition. You'll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feeds. Later, you'll develop your skills in 3D tracking and augmented reality. Finally, you'll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age. By the end of this book, you'll have the skills you need to execute real-world computer vision projects OpenCV (DE-588)1038770092 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Computer vision OpenCV (Computer program language) Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 s OpenCV (DE-588)1038770092 s Maschinelles Sehen (DE-588)4129594-8 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Minichino, Joe Sonstige (DE-588)1149285036 oth ebook version 9781789530643 |
| spellingShingle | Howse, Joseph Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning Setting up OpenCV -- Handling files, cameras, and GUIs -- Processing images with OpenCV -- Depth estimation and segmentation -- Detecting and recognizing faces -- Retrieving images and searching using image descriptors -- Building custom object detectors -- Tracking objects -- Camera models and augmented reality -- Introduction to neural networks with OpenCV. OpenCV (DE-588)1038770092 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)1038770092 (DE-588)4129594-8 (DE-588)4193754-5 (DE-588)4434275-5 |
| title | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning |
| title_auth | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning |
| title_exact_search | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning |
| title_exact_search_txtP | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning |
| title_full | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning Joseph Howse, Joe Minichino |
| title_fullStr | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning Joseph Howse, Joe Minichino |
| title_full_unstemmed | Learning OpenCV 4 computer vision with Python 3 get to grips with tools, techniques, and algorithms for computer vision and machine learning Joseph Howse, Joe Minichino |
| title_short | Learning OpenCV 4 computer vision with Python 3 |
| title_sort | learning opencv 4 computer vision with python 3 get to grips with tools techniques and algorithms for computer vision and machine learning |
| title_sub | get to grips with tools, techniques, and algorithms for computer vision and machine learning |
| topic | OpenCV (DE-588)1038770092 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | OpenCV Maschinelles Sehen Maschinelles Lernen Python Programmiersprache |
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