Raspberry Pi Computer Vision Programming: Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3
bPerform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications/b h4Key Features/h4 ulliExplore the potential of computer vision with Raspberry Pi and Python programming /l...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2020
|
| Ausgabe: | 2 |
| Schlagworte: | |
| Zusammenfassung: | bPerform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications/b h4Key Features/h4 ulliExplore the potential of computer vision with Raspberry Pi and Python programming /li liPerform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi /li liDiscover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications/li/ul h4Book Description/h4 Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. h4What you will learn/h4 ulliSet up a Raspberry Pi for computer vision applications /li liPerform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV /li liDemonstrate arithmetical, logical, and other operations on images /li liWork with a USB webcam and the Raspberry Pi Camera Module /li liImplement low-pass and high-pass filters and understand their applications in image processing /li liCover advanced techniques such as histogram equalization and morphological transformations /li liCreate GUI apps with Python 3 and OpenCV /li liPerform machine learning with K-means clustering and image quantization/li/ul h4Who this book is for/h4 This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language is assumed |
| Beschreibung: | 1 Online-Ressource (306 Seiten) |
| ISBN: | 9781800201026 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047070283 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 201218s2020 |||| o||u| ||||||eng d | ||
| 020 | |a 9781800201026 |9 978-1-80020-102-6 | ||
| 035 | |a (ZDB-5-WPSE)9781800201026306 | ||
| 035 | |a (OCoLC)1227479952 | ||
| 035 | |a (DE-599)BVBBV047070283 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Pajankar, Ashwin |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Raspberry Pi Computer Vision Programming |b Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 |c Pajankar, Ashwin |
| 250 | |a 2 | ||
| 264 | 1 | |a Birmingham |b Packt Publishing Limited |c 2020 | |
| 300 | |a 1 Online-Ressource (306 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 520 | |a bPerform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications/b h4Key Features/h4 ulliExplore the potential of computer vision with Raspberry Pi and Python programming /li liPerform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi /li liDiscover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications/li/ul h4Book Description/h4 Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. | ||
| 520 | |a This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. | ||
| 520 | |a h4What you will learn/h4 ulliSet up a Raspberry Pi for computer vision applications /li liPerform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV /li liDemonstrate arithmetical, logical, and other operations on images /li liWork with a USB webcam and the Raspberry Pi Camera Module /li liImplement low-pass and high-pass filters and understand their applications in image processing /li liCover advanced techniques such as histogram equalization and morphological transformations /li liCreate GUI apps with Python 3 and OpenCV /li liPerform machine learning with K-means clustering and image quantization/li/ul h4Who this book is for/h4 This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language is assumed | ||
| 650 | 4 | |a COMPUTERS / Hardware / General | |
| 650 | 4 | |a COMPUTERS / Computer Vision & | |
| 650 | 4 | |a Pattern Recognition | |
| 912 | |a ZDB-5-WPSE | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032477309 | ||
Datensatz im Suchindex
| _version_ | 1804182072941608960 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Pajankar, Ashwin |
| author_facet | Pajankar, Ashwin |
| author_role | aut |
| author_sort | Pajankar, Ashwin |
| author_variant | a p ap |
| building | Verbundindex |
| bvnumber | BV047070283 |
| collection | ZDB-5-WPSE |
| ctrlnum | (ZDB-5-WPSE)9781800201026306 (OCoLC)1227479952 (DE-599)BVBBV047070283 |
| edition | 2 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03882nmm a2200349zc 4500</leader><controlfield tag="001">BV047070283</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">201218s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781800201026</subfield><subfield code="9">978-1-80020-102-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-5-WPSE)9781800201026306</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1227479952</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047070283</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pajankar, Ashwin</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Raspberry Pi Computer Vision Programming</subfield><subfield code="b">Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3</subfield><subfield code="c">Pajankar, Ashwin</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing Limited</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (306 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">bPerform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications/b h4Key Features/h4 ulliExplore the potential of computer vision with Raspberry Pi and Python programming /li liPerform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi /li liDiscover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications/li/ul h4Book Description/h4 Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. </subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">h4What you will learn/h4 ulliSet up a Raspberry Pi for computer vision applications /li liPerform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV /li liDemonstrate arithmetical, logical, and other operations on images /li liWork with a USB webcam and the Raspberry Pi Camera Module /li liImplement low-pass and high-pass filters and understand their applications in image processing /li liCover advanced techniques such as histogram equalization and morphological transformations /li liCreate GUI apps with Python 3 and OpenCV /li liPerform machine learning with K-means clustering and image quantization/li/ul h4Who this book is for/h4 This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language is assumed</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Hardware / General</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS / Computer Vision &amp</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pattern Recognition</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-5-WPSE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032477309</subfield></datafield></record></collection> |
| id | DE-604.BV047070283 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:34Z |
| indexdate | 2024-07-10T09:01:45Z |
| institution | BVB |
| isbn | 9781800201026 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032477309 |
| oclc_num | 1227479952 |
| open_access_boolean | |
| physical | 1 Online-Ressource (306 Seiten) |
| psigel | ZDB-5-WPSE |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Packt Publishing Limited |
| record_format | marc |
| spelling | Pajankar, Ashwin Verfasser aut Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 Pajankar, Ashwin 2 Birmingham Packt Publishing Limited 2020 1 Online-Ressource (306 Seiten) txt rdacontent c rdamedia cr rdacarrier bPerform a wide variety of computer vision tasks such as image processing and manipulation, feature and object detection, and image restoration to build real-life computer vision applications/b h4Key Features/h4 ulliExplore the potential of computer vision with Raspberry Pi and Python programming /li liPerform computer vision tasks such as image processing and manipulation using OpenCV and Raspberry Pi /li liDiscover easy-to-follow examples and screenshots to implement popular computer vision techniques and applications/li/ul h4Book Description/h4 Raspberry Pi is one of the popular single-board computers of our generation. All the major image processing and computer vision algorithms and operations can be implemented easily with OpenCV on Raspberry Pi. This updated second edition is packed with cutting-edge examples and new topics, and covers the latest versions of key technologies such as Python 3, Raspberry Pi, and OpenCV. This book will equip you with the skills required to successfully design and implement your own OpenCV, Raspberry Pi, and Python-based computer vision projects. At the start, you'll learn the basics of Python 3, and the fundamentals of single-board computers and NumPy. Next, you'll discover how to install OpenCV 4 for Python 3 on Raspberry Pi, before covering major techniques and algorithms in image processing, manipulation, and computer vision. By working through the steps in each chapter, you'll understand essential OpenCV features. Later sections will take you through creating graphical user interface (GUI) apps with GPIO and OpenCV. You'll also learn to use the new computer vision library, Mahotas, to perform various image processing operations. Finally, you'll explore the Jupyter Notebook and how to set up a Windows computer and Ubuntu for computer vision. By the end of this book, you'll be able to confidently build and deploy computer vision apps. h4What you will learn/h4 ulliSet up a Raspberry Pi for computer vision applications /li liPerform basic image processing with libraries such as NumPy, Matplotlib, and OpenCV /li liDemonstrate arithmetical, logical, and other operations on images /li liWork with a USB webcam and the Raspberry Pi Camera Module /li liImplement low-pass and high-pass filters and understand their applications in image processing /li liCover advanced techniques such as histogram equalization and morphological transformations /li liCreate GUI apps with Python 3 and OpenCV /li liPerform machine learning with K-means clustering and image quantization/li/ul h4Who this book is for/h4 This book is for beginners as well as experienced Raspberry Pi and Python 3 enthusiasts who are looking to explore the amazing world of computer vision. Working knowledge of the Python 3 programming language is assumed COMPUTERS / Hardware / General COMPUTERS / Computer Vision & Pattern Recognition |
| spellingShingle | Pajankar, Ashwin Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 COMPUTERS / Hardware / General COMPUTERS / Computer Vision & Pattern Recognition |
| title | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 |
| title_auth | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 |
| title_exact_search | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 |
| title_exact_search_txtP | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 |
| title_full | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 Pajankar, Ashwin |
| title_fullStr | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 Pajankar, Ashwin |
| title_full_unstemmed | Raspberry Pi Computer Vision Programming Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 Pajankar, Ashwin |
| title_short | Raspberry Pi Computer Vision Programming |
| title_sort | raspberry pi computer vision programming design and implement computer vision applications with raspberry pi opencv and python 3 |
| title_sub | Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 |
| topic | COMPUTERS / Hardware / General COMPUTERS / Computer Vision & Pattern Recognition |
| topic_facet | COMPUTERS / Hardware / General COMPUTERS / Computer Vision & Pattern Recognition |
| work_keys_str_mv | AT pajankarashwin raspberrypicomputervisionprogrammingdesignandimplementcomputervisionapplicationswithraspberrypiopencvandpython3 |