OpenCV: computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules
Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced...
Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2016
|
| Schriftenreihe: | Learning path
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781787125490/?ar |
| Zusammenfassung: | Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ... |
| Beschreibung: | Authors: Joseph Howse, Prateek Joshi, Michael Beyeler. Cf. Credits page. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 4, 2016) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations. |
| ISBN: | 9781787123847 1787123847 9781787125490 |
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| id | ZDB-30-ORH-047704586 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:21:07Z |
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| isbn | 9781787123847 1787123847 9781787125490 |
| language | English |
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| spelling | Howse, Joseph 1984- VerfasserIn aut OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules Computer vision projects with Python Birmingham, UK Packt Publishing 2016 1 Online-Ressource (1 volume) illustrations. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Learning path Authors: Joseph Howse, Prateek Joshi, Michael Beyeler. Cf. Credits page. - Includes bibliographical references and index. - Description based on online resource; title from title page (Safari, viewed November 4, 2016) Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ... Computer vision Image processing Python (Computer program language) Vision par ordinateur Traitement d'images Python (Langage de programmation) image processing COMPUTERS / General Joshi, Prateek VerfasserIn aut Beyeler, Michael VerfasserIn aut |
| spellingShingle | Howse, Joseph 1984- Joshi, Prateek Beyeler, Michael OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules Computer vision Image processing Python (Computer program language) Vision par ordinateur Traitement d'images Python (Langage de programmation) image processing COMPUTERS / General |
| title | OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| title_alt | Computer vision projects with Python |
| title_auth | OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| title_exact_search | OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| title_full | OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| title_fullStr | OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| title_full_unstemmed | OpenCV computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| title_short | OpenCV |
| title_sort | opencv computer vision projects with python get savvy with opencv and actualize cool computer vision applications a course in three modules |
| title_sub | computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules |
| topic | Computer vision Image processing Python (Computer program language) Vision par ordinateur Traitement d'images Python (Langage de programmation) image processing COMPUTERS / General |
| topic_facet | Computer vision Image processing Python (Computer program language) Vision par ordinateur Traitement d'images Python (Langage de programmation) image processing COMPUTERS / General |
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