|
|
|
|
LEADER |
00000cam a2200000Ii 4500 |
001 |
OR_ocn926046017 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr unu|||||||| |
008 |
151022s2015 enka o 001 0 eng d |
040 |
|
|
|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d EBLCP
|d IDB
|d MERUC
|d OCLCQ
|d CEF
|d OCLCQ
|d UAB
|d OCLCQ
|d OCLCO
|d OCLCQ
|d OCLCO
|
019 |
|
|
|a 935250245
|
020 |
|
|
|a 9781785289774
|
020 |
|
|
|a 1785289772
|
020 |
|
|
|z 9781785283840
|
029 |
1 |
|
|a CHNEW
|b 000893935
|
029 |
1 |
|
|a CHVBK
|b 374530920
|
029 |
1 |
|
|a DEBBG
|b BV043627593
|
029 |
1 |
|
|a GBVCP
|b 897168976
|
035 |
|
|
|a (OCoLC)926046017
|z (OCoLC)935250245
|
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
|