OpenCV 4 for Secret Agents :: Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition.
OpenCV 4 for Secret Agents is an updated edition of the book that introduced thousands of developers to cat face detection, real-time Eulerian video magnification, and other scintillating topics in computer vision. Now, Python 3 and Android Studio are supported. With an applied approach and a love o...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2019.
|
| Ausgabe: | 2nd ed. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | OpenCV 4 for Secret Agents is an updated edition of the book that introduced thousands of developers to cat face detection, real-time Eulerian video magnification, and other scintillating topics in computer vision. Now, Python 3 and Android Studio are supported. With an applied approach and a love of storytelling, the author presents projects ... |
| Beschreibung: | Configuring and building the Unity project |
| Beschreibung: | 1 online resource (330 pages) |
| ISBN: | 9781789344585 1789344581 |
Internformat
MARC
| LEADER | 00000cam a2200000Mi 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1101038979 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr |n|---||||| | ||
| 008 | 190525s2019 enk o 000 0 eng d | ||
| 040 | |a EBLCP |b eng |e pn |c EBLCP |d YDX |d N$T |d OCLCQ |d UKAHL |d OCLCQ |d NLW |d OCLCO |d OCLCQ |d TMA |d OCLCL |d OCLCQ | ||
| 019 | |a 1100429115 |a 1162141809 |a 1396853783 | ||
| 020 | |a 9781789344585 | ||
| 020 | |a 1789344581 | ||
| 035 | |a (OCoLC)1101038979 |z (OCoLC)1100429115 |z (OCoLC)1162141809 |z (OCoLC)1396853783 | ||
| 050 | 4 | |a TA1634 | |
| 072 | 7 | |a COM |x 000000 |2 bisacsh | |
| 082 | 7 | |a 006.37 |2 23 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Howse, Joseph. | |
| 245 | 1 | 0 | |a OpenCV 4 for Secret Agents : |b Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| 250 | |a 2nd ed. | ||
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2019. | ||
| 300 | |a 1 online resource (330 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: The Briefing; Chapter 1: Preparing for the Mission; Technical requirements; Setting up a development machine; Setting up Python and OpenCV on Windows; Building OpenCV on Windows with CMake and Visual Studio; Setting up Python and OpenCV on Mac; Mac with MacPorts; Mac with Homebrew; Setting up Python and OpenCV on Debian Jessie and its derivatives, including Raspbian, Ubuntu, and Linux Mint; Building OpenCV on Debian Jessie and its derivatives with CMake and GCC | |
| 505 | 8 | |a Setting up Python and OpenCV on Fedora and its derivatives, including RHEL and CentOSSetting up Python and OpenCV on openSUSE and its derivatives; Setting up Android Studio and OpenCV; Setting up Unity and OpenCV; Setting up a Raspberry Pi; Setting up the Raspberry Pi camera module; Finding OpenCV documentation, help, and updates; Alternatives to Raspberry Pi; Summary; Chapter 2: Searching for Luxury Accommodations Worldwide; Technical requirements; Planning the Luxocator app; Creating, comparing, and storing histograms; Training the classifier with reference images | |
| 505 | 8 | |a Acquiring images from the webAcquiring images from Bing Image Search; Preparing images and resources for the app; Integrating everything into the GUI; Running Luxocator and troubleshooting SSL problems; Building Luxocator for distribution; Summary; Section 2: The Chase; Chapter 3: Training a Smart Alarm to Recognize the Villain and His Cat; Technical requirements; Understanding machine learning in general; Planning the Interactive Recognizer app; Understanding Haar cascades and LBPH; Implementing the Interactive Recognizer app; Planning the cat-detection model | |
| 505 | 8 | |a Implementing the training script for the cat-detection modelPlanning the Angora Blue app; Implementing the Angora Blue app; Building Angora Blue for distribution; Further fun with finding felines; Summary; Chapter 4: Controlling a Phone App with Your Suave Gestures; Technical requirements; Planning the Goldgesture app; Understanding optical flow; Setting up the project in Android Studio; Getting a cascade file and audio files; Specifying the app's requirements; Laying out a camera preview as the main view; Tracking back-and-forth gestures; Playing audio clips as questions and answers | |
| 505 | 8 | |a Capturing images and tracking faces in an activitySummary; Chapter 5: Equipping Your Car with a Rearview Camera and Hazard Detection; Technical requirements; Planning The Living Headlights app; Detecting lights as blobs; Estimating distances (a cheap approach); Implementing The Living Headlights app; Testing The Living Headlights app at home; Testing The Living Headlights app in a car; Summary; Chapter 6: Creating a Physics Simulation Based on a Pen and Paper Sketch; Technical requirements; Planning the Rollingball app; Detecting circles and lines; Setting up OpenCV for Unity | |
| 500 | |a Configuring and building the Unity project | ||
| 520 | |a OpenCV 4 for Secret Agents is an updated edition of the book that introduced thousands of developers to cat face detection, real-time Eulerian video magnification, and other scintillating topics in computer vision. Now, Python 3 and Android Studio are supported. With an applied approach and a love of storytelling, the author presents projects ... | ||
| 650 | 0 | |a Computer vision |x Programming. | |
| 650 | 6 | |a Vision par ordinateur |x Programmation. | |
| 650 | 7 | |a Pattern recognition. |2 bicssc | |
| 650 | 7 | |a Computer vision. |2 bicssc | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 758 | |i has work: |a OpenCV 4 for secret agents (Text) |1 https://id.oclc.org/worldcat/entity/E39PCG6FYKbtHDdkk9X87jB3wC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Howse, Joseph. |t OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789345360 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2117005 |3 Volltext |
| 938 | |a Askews and Holts Library Services |b ASKH |n BDZ0040044139 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5764481 | ||
| 938 | |a EBSCOhost |b EBSC |n 2117005 | ||
| 938 | |a YBP Library Services |b YANK |n 300508242 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1101038979 |
|---|---|
| _version_ | 1816882492418818048 |
| adam_text | |
| any_adam_object | |
| author | Howse, Joseph |
| author_facet | Howse, Joseph |
| author_role | |
| author_sort | Howse, Joseph |
| author_variant | j h jh |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TA1634 |
| callnumber-raw | TA1634 |
| callnumber-search | TA1634 |
| callnumber-sort | TA 41634 |
| callnumber-subject | TA - General and Civil Engineering |
| collection | ZDB-4-EBA |
| contents | Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: The Briefing; Chapter 1: Preparing for the Mission; Technical requirements; Setting up a development machine; Setting up Python and OpenCV on Windows; Building OpenCV on Windows with CMake and Visual Studio; Setting up Python and OpenCV on Mac; Mac with MacPorts; Mac with Homebrew; Setting up Python and OpenCV on Debian Jessie and its derivatives, including Raspbian, Ubuntu, and Linux Mint; Building OpenCV on Debian Jessie and its derivatives with CMake and GCC Setting up Python and OpenCV on Fedora and its derivatives, including RHEL and CentOSSetting up Python and OpenCV on openSUSE and its derivatives; Setting up Android Studio and OpenCV; Setting up Unity and OpenCV; Setting up a Raspberry Pi; Setting up the Raspberry Pi camera module; Finding OpenCV documentation, help, and updates; Alternatives to Raspberry Pi; Summary; Chapter 2: Searching for Luxury Accommodations Worldwide; Technical requirements; Planning the Luxocator app; Creating, comparing, and storing histograms; Training the classifier with reference images Acquiring images from the webAcquiring images from Bing Image Search; Preparing images and resources for the app; Integrating everything into the GUI; Running Luxocator and troubleshooting SSL problems; Building Luxocator for distribution; Summary; Section 2: The Chase; Chapter 3: Training a Smart Alarm to Recognize the Villain and His Cat; Technical requirements; Understanding machine learning in general; Planning the Interactive Recognizer app; Understanding Haar cascades and LBPH; Implementing the Interactive Recognizer app; Planning the cat-detection model Implementing the training script for the cat-detection modelPlanning the Angora Blue app; Implementing the Angora Blue app; Building Angora Blue for distribution; Further fun with finding felines; Summary; Chapter 4: Controlling a Phone App with Your Suave Gestures; Technical requirements; Planning the Goldgesture app; Understanding optical flow; Setting up the project in Android Studio; Getting a cascade file and audio files; Specifying the app's requirements; Laying out a camera preview as the main view; Tracking back-and-forth gestures; Playing audio clips as questions and answers Capturing images and tracking faces in an activitySummary; Chapter 5: Equipping Your Car with a Rearview Camera and Hazard Detection; Technical requirements; Planning The Living Headlights app; Detecting lights as blobs; Estimating distances (a cheap approach); Implementing The Living Headlights app; Testing The Living Headlights app at home; Testing The Living Headlights app in a car; Summary; Chapter 6: Creating a Physics Simulation Based on a Pen and Paper Sketch; Technical requirements; Planning the Rollingball app; Detecting circles and lines; Setting up OpenCV for Unity |
| ctrlnum | (OCoLC)1101038979 |
| dewey-full | 006.37 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.37 |
| dewey-search | 006.37 |
| dewey-sort | 16.37 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 2nd ed. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05579cam a2200565Mi 4500</leader><controlfield tag="001">ZDB-4-EBA-on1101038979</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |n|---|||||</controlfield><controlfield tag="008">190525s2019 enk o 000 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">EBLCP</subfield><subfield code="b">eng</subfield><subfield code="e">pn</subfield><subfield code="c">EBLCP</subfield><subfield code="d">YDX</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">UKAHL</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">NLW</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">TMA</subfield><subfield code="d">OCLCL</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1100429115</subfield><subfield code="a">1162141809</subfield><subfield code="a">1396853783</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789344585</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1789344581</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1101038979</subfield><subfield code="z">(OCoLC)1100429115</subfield><subfield code="z">(OCoLC)1162141809</subfield><subfield code="z">(OCoLC)1396853783</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TA1634</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="x">000000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">006.37</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Howse, Joseph.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">OpenCV 4 for Secret Agents :</subfield><subfield code="b">Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2nd ed.</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Birmingham :</subfield><subfield code="b">Packt Publishing, Limited,</subfield><subfield code="c">2019.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (330 pages)</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">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: The Briefing; Chapter 1: Preparing for the Mission; Technical requirements; Setting up a development machine; Setting up Python and OpenCV on Windows; Building OpenCV on Windows with CMake and Visual Studio; Setting up Python and OpenCV on Mac; Mac with MacPorts; Mac with Homebrew; Setting up Python and OpenCV on Debian Jessie and its derivatives, including Raspbian, Ubuntu, and Linux Mint; Building OpenCV on Debian Jessie and its derivatives with CMake and GCC</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Setting up Python and OpenCV on Fedora and its derivatives, including RHEL and CentOSSetting up Python and OpenCV on openSUSE and its derivatives; Setting up Android Studio and OpenCV; Setting up Unity and OpenCV; Setting up a Raspberry Pi; Setting up the Raspberry Pi camera module; Finding OpenCV documentation, help, and updates; Alternatives to Raspberry Pi; Summary; Chapter 2: Searching for Luxury Accommodations Worldwide; Technical requirements; Planning the Luxocator app; Creating, comparing, and storing histograms; Training the classifier with reference images</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Acquiring images from the webAcquiring images from Bing Image Search; Preparing images and resources for the app; Integrating everything into the GUI; Running Luxocator and troubleshooting SSL problems; Building Luxocator for distribution; Summary; Section 2: The Chase; Chapter 3: Training a Smart Alarm to Recognize the Villain and His Cat; Technical requirements; Understanding machine learning in general; Planning the Interactive Recognizer app; Understanding Haar cascades and LBPH; Implementing the Interactive Recognizer app; Planning the cat-detection model</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Implementing the training script for the cat-detection modelPlanning the Angora Blue app; Implementing the Angora Blue app; Building Angora Blue for distribution; Further fun with finding felines; Summary; Chapter 4: Controlling a Phone App with Your Suave Gestures; Technical requirements; Planning the Goldgesture app; Understanding optical flow; Setting up the project in Android Studio; Getting a cascade file and audio files; Specifying the app's requirements; Laying out a camera preview as the main view; Tracking back-and-forth gestures; Playing audio clips as questions and answers</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Capturing images and tracking faces in an activitySummary; Chapter 5: Equipping Your Car with a Rearview Camera and Hazard Detection; Technical requirements; Planning The Living Headlights app; Detecting lights as blobs; Estimating distances (a cheap approach); Implementing The Living Headlights app; Testing The Living Headlights app at home; Testing The Living Headlights app in a car; Summary; Chapter 6: Creating a Physics Simulation Based on a Pen and Paper Sketch; Technical requirements; Planning the Rollingball app; Detecting circles and lines; Setting up OpenCV for Unity</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Configuring and building the Unity project</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">OpenCV 4 for Secret Agents is an updated edition of the book that introduced thousands of developers to cat face detection, real-time Eulerian video magnification, and other scintillating topics in computer vision. Now, Python 3 and Android Studio are supported. With an applied approach and a love of storytelling, the author presents projects ...</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer vision</subfield><subfield code="x">Programming.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Vision par ordinateur</subfield><subfield code="x">Programmation.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Pattern recognition.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Computer vision.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Programming & scripting languages: general.</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS</subfield><subfield code="x">General.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">OpenCV 4 for secret agents (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCG6FYKbtHDdkk9X87jB3wC</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="a">Howse, Joseph.</subfield><subfield code="t">OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition.</subfield><subfield code="d">Birmingham : Packt Publishing, Limited, ©2019</subfield><subfield code="z">9781789345360</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2117005</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">Askews and Holts Library Services</subfield><subfield code="b">ASKH</subfield><subfield code="n">BDZ0040044139</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL5764481</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">2117005</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">300508242</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-on1101038979 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:28Z |
| institution | BVB |
| isbn | 9781789344585 1789344581 |
| language | English |
| oclc_num | 1101038979 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (330 pages) |
| psigel | ZDB-4-EBA |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt Publishing, Limited, |
| record_format | marc |
| spelling | Howse, Joseph. OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. 2nd ed. Birmingham : Packt Publishing, Limited, 2019. 1 online resource (330 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: The Briefing; Chapter 1: Preparing for the Mission; Technical requirements; Setting up a development machine; Setting up Python and OpenCV on Windows; Building OpenCV on Windows with CMake and Visual Studio; Setting up Python and OpenCV on Mac; Mac with MacPorts; Mac with Homebrew; Setting up Python and OpenCV on Debian Jessie and its derivatives, including Raspbian, Ubuntu, and Linux Mint; Building OpenCV on Debian Jessie and its derivatives with CMake and GCC Setting up Python and OpenCV on Fedora and its derivatives, including RHEL and CentOSSetting up Python and OpenCV on openSUSE and its derivatives; Setting up Android Studio and OpenCV; Setting up Unity and OpenCV; Setting up a Raspberry Pi; Setting up the Raspberry Pi camera module; Finding OpenCV documentation, help, and updates; Alternatives to Raspberry Pi; Summary; Chapter 2: Searching for Luxury Accommodations Worldwide; Technical requirements; Planning the Luxocator app; Creating, comparing, and storing histograms; Training the classifier with reference images Acquiring images from the webAcquiring images from Bing Image Search; Preparing images and resources for the app; Integrating everything into the GUI; Running Luxocator and troubleshooting SSL problems; Building Luxocator for distribution; Summary; Section 2: The Chase; Chapter 3: Training a Smart Alarm to Recognize the Villain and His Cat; Technical requirements; Understanding machine learning in general; Planning the Interactive Recognizer app; Understanding Haar cascades and LBPH; Implementing the Interactive Recognizer app; Planning the cat-detection model Implementing the training script for the cat-detection modelPlanning the Angora Blue app; Implementing the Angora Blue app; Building Angora Blue for distribution; Further fun with finding felines; Summary; Chapter 4: Controlling a Phone App with Your Suave Gestures; Technical requirements; Planning the Goldgesture app; Understanding optical flow; Setting up the project in Android Studio; Getting a cascade file and audio files; Specifying the app's requirements; Laying out a camera preview as the main view; Tracking back-and-forth gestures; Playing audio clips as questions and answers Capturing images and tracking faces in an activitySummary; Chapter 5: Equipping Your Car with a Rearview Camera and Hazard Detection; Technical requirements; Planning The Living Headlights app; Detecting lights as blobs; Estimating distances (a cheap approach); Implementing The Living Headlights app; Testing The Living Headlights app at home; Testing The Living Headlights app in a car; Summary; Chapter 6: Creating a Physics Simulation Based on a Pen and Paper Sketch; Technical requirements; Planning the Rollingball app; Detecting circles and lines; Setting up OpenCV for Unity Configuring and building the Unity project OpenCV 4 for Secret Agents is an updated edition of the book that introduced thousands of developers to cat face detection, real-time Eulerian video magnification, and other scintillating topics in computer vision. Now, Python 3 and Android Studio are supported. With an applied approach and a love of storytelling, the author presents projects ... Computer vision Programming. Vision par ordinateur Programmation. Pattern recognition. bicssc Computer vision. bicssc Programming & scripting languages: general. bicssc COMPUTERS General. bisacsh has work: OpenCV 4 for secret agents (Text) https://id.oclc.org/worldcat/entity/E39PCG6FYKbtHDdkk9X87jB3wC https://id.oclc.org/worldcat/ontology/hasWork Print version: Howse, Joseph. OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. Birmingham : Packt Publishing, Limited, ©2019 9781789345360 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2117005 Volltext |
| spellingShingle | Howse, Joseph OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: The Briefing; Chapter 1: Preparing for the Mission; Technical requirements; Setting up a development machine; Setting up Python and OpenCV on Windows; Building OpenCV on Windows with CMake and Visual Studio; Setting up Python and OpenCV on Mac; Mac with MacPorts; Mac with Homebrew; Setting up Python and OpenCV on Debian Jessie and its derivatives, including Raspbian, Ubuntu, and Linux Mint; Building OpenCV on Debian Jessie and its derivatives with CMake and GCC Setting up Python and OpenCV on Fedora and its derivatives, including RHEL and CentOSSetting up Python and OpenCV on openSUSE and its derivatives; Setting up Android Studio and OpenCV; Setting up Unity and OpenCV; Setting up a Raspberry Pi; Setting up the Raspberry Pi camera module; Finding OpenCV documentation, help, and updates; Alternatives to Raspberry Pi; Summary; Chapter 2: Searching for Luxury Accommodations Worldwide; Technical requirements; Planning the Luxocator app; Creating, comparing, and storing histograms; Training the classifier with reference images Acquiring images from the webAcquiring images from Bing Image Search; Preparing images and resources for the app; Integrating everything into the GUI; Running Luxocator and troubleshooting SSL problems; Building Luxocator for distribution; Summary; Section 2: The Chase; Chapter 3: Training a Smart Alarm to Recognize the Villain and His Cat; Technical requirements; Understanding machine learning in general; Planning the Interactive Recognizer app; Understanding Haar cascades and LBPH; Implementing the Interactive Recognizer app; Planning the cat-detection model Implementing the training script for the cat-detection modelPlanning the Angora Blue app; Implementing the Angora Blue app; Building Angora Blue for distribution; Further fun with finding felines; Summary; Chapter 4: Controlling a Phone App with Your Suave Gestures; Technical requirements; Planning the Goldgesture app; Understanding optical flow; Setting up the project in Android Studio; Getting a cascade file and audio files; Specifying the app's requirements; Laying out a camera preview as the main view; Tracking back-and-forth gestures; Playing audio clips as questions and answers Capturing images and tracking faces in an activitySummary; Chapter 5: Equipping Your Car with a Rearview Camera and Hazard Detection; Technical requirements; Planning The Living Headlights app; Detecting lights as blobs; Estimating distances (a cheap approach); Implementing The Living Headlights app; Testing The Living Headlights app at home; Testing The Living Headlights app in a car; Summary; Chapter 6: Creating a Physics Simulation Based on a Pen and Paper Sketch; Technical requirements; Planning the Rollingball app; Detecting circles and lines; Setting up OpenCV for Unity Computer vision Programming. Vision par ordinateur Programmation. Pattern recognition. bicssc Computer vision. bicssc Programming & scripting languages: general. bicssc COMPUTERS General. bisacsh |
| title | OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| title_auth | OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| title_exact_search | OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| title_full | OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| title_fullStr | OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| title_full_unstemmed | OpenCV 4 for Secret Agents : Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| title_short | OpenCV 4 for Secret Agents : |
| title_sort | opencv 4 for secret agents use opencv 4 in secret projects to classify cats reveal the unseen and react to rogue drivers 2nd edition |
| title_sub | Use OpenCV 4 in Secret Projects to Classify Cats, Reveal the Unseen, and React to Rogue Drivers, 2nd Edition. |
| topic | Computer vision Programming. Vision par ordinateur Programmation. Pattern recognition. bicssc Computer vision. bicssc Programming & scripting languages: general. bicssc COMPUTERS General. bisacsh |
| topic_facet | Computer vision Programming. Vision par ordinateur Programmation. Pattern recognition. Computer vision. Programming & scripting languages: general. COMPUTERS General. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2117005 |
| work_keys_str_mv | AT howsejoseph opencv4forsecretagentsuseopencv4insecretprojectstoclassifycatsrevealtheunseenandreacttoroguedrivers2ndedition |