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Learning OpenCV 3 computer vision with Python : unleash the power of computer vision with Python using OpenCV /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Minichino, Joe (Autor), Howse, Joseph (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2015.
Colección:Community experience distilled.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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037 |a CL0500000662  |b Safari Books Online 
050 4 |a TA1634 
082 0 4 |a 006.3/7  |q OCoLC  |2 23/eng/20230216 
049 |a UAMI 
100 1 |a Minichino, Joe,  |e author. 
245 1 0 |a Learning OpenCV 3 computer vision with Python :  |b unleash the power of computer vision with Python using OpenCV /  |c Joe Minichino, Joseph Howse. 
246 3 0 |a Unleash the power of computer vision with Python using OpenCV 
264 1 |a Birmingham, UK :  |b Packt Publishing,  |c 2015. 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Community experience distilled 
588 0 |a Online resource; title from cover page (Safari, viewed October 20, 2015). 
500 |a Includes index. 
505 0 |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up OpenCV; Choosing and using the right setup tools; Installation on Windows; Using binary installers (no support for depth cameras); Using CMake and compilers; Installing on OS X; Using MacPorts with ready-made packages; Using MacPorts with your own custom packages; Using Homebrew with ready-made packages (no support for depth cameras); Using Homebrew with your own custom packages; Installation on Ubuntu and its derivatives. 
505 8 |a Using the Ubuntu repository (no support for depth cameras)Building OpenCV from a source; Installation on other Unix-like systems; Installing the Contrib modules; Running samples; Finding documentation, help, and updates; Summary; Chapter 2: Handling Files, Cameras, and GUIs; Basic I/O scripts; Reading/writing an image file; Converting between an image and raw bytes; Accessing image data with numpy.array; Reading/writing a video file; Capturing camera frames; Displaying images in a window; Displaying camera frames in a window; Project Cameo (face tracking and image manipulation). 
505 8 |a Cameo -- an object-oriented designAbstracting a video stream with managers. CaptureManager; Abstracting a window and keyboard with managers. WindowManager; Applying everything with cameo. Cameo; Summary; Chapter 3: Processing Images with OpenCV 3; Converting between different color spaces; A quick note on BGR; The Fourier Transform; High pass filter; Low pass filter; Creating modules; Edge detection; Custom kernels -- getting convoluted; Modifying the application; Edge detection with Canny; Contour detection; Contours -- bounding box, minimum area rectangle, and minimum enclosing circle. 
505 8 |a Contours -- convex contours and the Douglas-Peucker algorithmLine and circle detection; Line detection; Circle detection; Detecting shapes; Summary; Chapter 4: Depth Estimation and Segmentation; Creating modules; Capturing frames from a depth camera; Creating a mask from a disparity map; Masking a copy operation; Depth estimation with a normal camera; Object segmentation using the Watershed and GrabCut algorithms; Example of foreground detection with GrabCut; Image segmentation with the Watershed algorithm; Summary; Chapter 5: Detecting and Recognizing Faces; Conceptualizing Haar cascades. 
505 8 |a Getting Haar cascade dataUsing OpenCV to perform face detection; Performing face detection on a still image; Performing face detection on a video; Performing face recognition; Generating the data for face recognition; Recognizing faces; Preparing the training data; Loading the data and recognizing faces; Performing an Eigenfaces recognition; Performing face recognition with Fisherfaces; Performing face recognition with LBPH; Discarding results with confidence score; Summary; Chapter 6: Retrieving Images and Searching Using Image Descriptors; Feature detection algorithms; Defining features. 
505 8 |a Detecting features -- corners. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Computer vision. 
650 0 |a Python (Computer program language) 
650 6 |a Vision par ordinateur. 
650 6 |a Python (Langage de programmation) 
650 7 |a Computer vision  |2 fast 
650 7 |a Python (Computer program language)  |2 fast 
700 1 |a Howse, Joseph,  |e author. 
776 0 8 |i Print version:  |a Joe Minichino, Joseph Howse.  |t Learning OpenCV 3 Computer Vision with Python - Second Edition.  |d Birmingham : Packt Publishing Ltd, ©2015  |z 9781785283840 
830 0 |a Community experience distilled. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781785283840/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a EBL - Ebook Library  |b EBLB  |n EBL4191267 
994 |a 92  |b IZTAP