OpenCV with Python by example: build real-world computer vision applications and develop cool demos using OpenCV for Python
Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algori...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Birmingham
Packt Publishing
2015
|
Schriftenreihe: | Community experience distilled
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781785283932/?ar |
Zusammenfassung: | Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a prac ... |
Beschreibung: | Includes index. - Online resource; title from PDF title page (EBSCO, viewed April 19, 2016) |
Umfang: | 1 Online-Ressource illustrations |
ISBN: | 9781785289873 178528987X 9781785283932 |
Internformat
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047693843 | ||
003 | DE-627-1 | ||
005 | 20240228115943.0 | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2015 xx |||||o 00| ||eng c | ||
020 | |a 9781785289873 |c electronic bk. |9 978-1-78528-987-3 | ||
020 | |a 178528987X |c electronic bk. |9 1-78528-987-X | ||
020 | |a 9781785283932 |9 978-1-78528-393-2 | ||
035 | |a (DE-627-1)047693843 | ||
035 | |a (DE-599)KEP047693843 | ||
035 | |a (ORHE)9781785283932 | ||
035 | |a (DE-627-1)047693843 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
072 | 7 | |a COM |2 bisacsh | |
082 | 0 | |a 005.133 |2 23 | |
100 | 1 | |a Joshi, Prateek |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a OpenCV with Python by example |b build real-world computer vision applications and develop cool demos using OpenCV for Python |c Prateek Joshi |
264 | 1 | |a Birmingham |b Packt Publishing |c 2015 | |
300 | |a 1 Online-Ressource |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
490 | 0 | |a Community experience distilled | |
500 | |a Includes index. - Online resource; title from PDF title page (EBSCO, viewed April 19, 2016) | ||
520 | |a Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a prac ... | ||
546 | |a English. | ||
650 | 0 | |a Python (Computer program language) | |
650 | 0 | |a Computer vision | |
650 | 0 | |a Application software |x Development | |
650 | 0 | |a Cloud computing | |
650 | 4 | |a Python (Langage de programmation) | |
650 | 4 | |a Vision par ordinateur | |
650 | 4 | |a Logiciels d'application ; Développement | |
650 | 4 | |a Infonuagique | |
650 | 4 | |a COMPUTERS ; Programming Languages ; Python | |
650 | 4 | |a Application software ; Development | |
650 | 4 | |a Cloud computing | |
650 | 4 | |a Computer vision | |
650 | 4 | |a Python (Computer program language) | |
776 | 1 | |z 1785283936 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1785283936 |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781785283932/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Datensatz im Suchindex
DE-BY-TUM_katkey | ZDB-30-ORH-047693843 |
---|---|
_version_ | 1821494862984249344 |
adam_text | |
any_adam_object | |
author | Joshi, Prateek |
author_facet | Joshi, Prateek |
author_role | aut |
author_sort | Joshi, Prateek |
author_variant | p j pj |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047693843 (DE-599)KEP047693843 (ORHE)9781785283932 |
dewey-full | 005.133 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 005 - Computer programming, programs, data, security |
dewey-raw | 005.133 |
dewey-search | 005.133 |
dewey-sort | 15.133 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04579cam a22005772 4500</leader><controlfield tag="001">ZDB-30-ORH-047693843</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228115943.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781785289873</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-78528-987-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">178528987X</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-78528-987-X</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781785283932</subfield><subfield code="9">978-1-78528-393-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047693843</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047693843</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781785283932</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047693843</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.133</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Joshi, Prateek</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">OpenCV with Python by example</subfield><subfield code="b">build real-world computer vision applications and develop cool demos using OpenCV for Python</subfield><subfield code="c">Prateek Joshi</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2015</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Community experience distilled</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes index. - Online resource; title from PDF title page (EBSCO, viewed April 19, 2016)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a prac ...</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application software</subfield><subfield code="x">Development</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Cloud computing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vision par ordinateur</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logiciels d'application ; Développement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Infonuagique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; Programming Languages ; Python</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software ; Development</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cloud computing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1785283936</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1785283936</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781785283932/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
id | ZDB-30-ORH-047693843 |
illustrated | Illustrated |
indexdate | 2025-01-17T11:21:08Z |
institution | BVB |
isbn | 9781785289873 178528987X 9781785283932 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource illustrations |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Packt Publishing |
record_format | marc |
series2 | Community experience distilled |
spelling | Joshi, Prateek VerfasserIn aut OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python Prateek Joshi Birmingham Packt Publishing 2015 1 Online-Ressource illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Community experience distilled Includes index. - Online resource; title from PDF title page (EBSCO, viewed April 19, 2016) Build real-world computer vision applications and develop cool demos using OpenCV for Python About This Book Learn how to apply complex visual effects to images using geometric transformations and image filters Extract features from an image and use them to develop advanced applications Build algorithms to help you understand the image content and perform visual searches Who This Book Is For This book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV-Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on. What You Will Learn Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Detect and track various body parts such as the face, nose, eyes, ears, and mouth Stitch multiple images of a scene together to create a panoramic image Make an object disappear from an image Identify different shapes, segment an image, and track an object in a live video Recognize an object in an image and build a visual search engine Reconstruct a 3D map from images Build an augmented reality application In Detail Computer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we are getting more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Web developers can develop complex applications without having to reinvent the wheel. This book will walk you through all the building blocks needed to build amazing computer vision applications with ease. We start off with applying geometric transformations to images. We then discuss affine and projective transformations and see how we can use them to apply cool geometric effects to photos. We will then cover techniques used for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications. This book will also provide clear examples written in Python to build OpenCV applications. The book starts off with simple beginner's level tasks such as basic processing and handling images, image mapping, and detecting images. It also covers popular OpenCV libraries with the help of examples. The book is a prac ... English. Python (Computer program language) Computer vision Application software Development Cloud computing Python (Langage de programmation) Vision par ordinateur Logiciels d'application ; Développement Infonuagique COMPUTERS ; Programming Languages ; Python Application software ; Development 1785283936 Erscheint auch als Druck-Ausgabe 1785283936 |
spellingShingle | Joshi, Prateek OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python Python (Computer program language) Computer vision Application software Development Cloud computing Python (Langage de programmation) Vision par ordinateur Logiciels d'application ; Développement Infonuagique COMPUTERS ; Programming Languages ; Python Application software ; Development |
title | OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python |
title_auth | OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python |
title_exact_search | OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python |
title_full | OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python Prateek Joshi |
title_fullStr | OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python Prateek Joshi |
title_full_unstemmed | OpenCV with Python by example build real-world computer vision applications and develop cool demos using OpenCV for Python Prateek Joshi |
title_short | OpenCV with Python by example |
title_sort | opencv with python by example build real world computer vision applications and develop cool demos using opencv for python |
title_sub | build real-world computer vision applications and develop cool demos using OpenCV for Python |
topic | Python (Computer program language) Computer vision Application software Development Cloud computing Python (Langage de programmation) Vision par ordinateur Logiciels d'application ; Développement Infonuagique COMPUTERS ; Programming Languages ; Python Application software ; Development |
topic_facet | Python (Computer program language) Computer vision Application software Development Cloud computing Python (Langage de programmation) Vision par ordinateur Logiciels d'application ; Développement Infonuagique COMPUTERS ; Programming Languages ; Python Application software ; Development |
work_keys_str_mv | AT joshiprateek opencvwithpythonbyexamplebuildrealworldcomputervisionapplicationsanddevelopcooldemosusingopencvforpython |