The Resource Learning path : OpenCV : real-time computer vision with OpenCV

Learning path : OpenCV : real-time computer vision with OpenCV

Label
Learning path : OpenCV : real-time computer vision with OpenCV
Title
Learning path
Title remainder
OpenCV : real-time computer vision with OpenCV
Title variation
Real-time computer vision with OpenCV
Contributor
Author
Subject
Language
eng
Summary
"OpenCV is a cross-platform, open source library that is used for face recognition, object tracking, and image and video processing. Learning the basic concepts of computer vision algorithms, models, and OpenCV's API will help you develop all sorts of real-world applications. Starting from the installation of OpenCV 3 on your system and understanding the basics of image processing, we swiftly move on to creating optical flow video analysis or text recognition in complex scenes. You'll explore the commonly-used computer vision techniques to build your own OpenCV projects from scratch. Next, we'll teach you how to work with the various OpenCV modules for statistical modeling and machine learning. You'll start by preparing your data for analysis, learn about supervised and unsupervised learning, and see how to use them. Finally, you'll learn to implement efficient models using the popular machine learning techniques such as classification, regression, decision trees, K-nearest neighbors, boosting, and neural networks with the aid of C++ and OpenCV. By the end of this Learning Path, you will be familiar with the basics of OpenCV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition."--Resource description page
Related
Cataloging source
UMI
Characteristic
representational
LC call number
TA1634
PerformerNote
Presenters, David Millán Escrivá, Prateek Joshi, Vinícius Godoy, Joe Minichino
Label
Learning path : OpenCV : real-time computer vision with OpenCV
Publication
Note
Title and publication information from resource description page (Safari, viewed June 14, 2017)
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Configuration of playback channels
unknown
Content category
two-dimensional moving image
Content type code
tdi
Content type MARC source
rdacontent
Contents
OpenCV 3 by example / David Millán Escrivá, Prateek Joshi, Vinícius Godoy -- Machine learning with OpenCV and Python / Joe Minichino
Control code
ocn990087180
Dimensions
unknown
Extent
1 online resource (1 streaming video file (5 hr., 33 min., 99 sec.))
Form of item
online
Media category
  • computer
  • video
Media MARC source
  • rdamedia
  • rdamedia
Media type code
  • c
  • v
Medium for sound
other
Other physical details
digital, sound, color
http://library.link/vocab/ext/overdrive/overdriveId
cl0500000866
http://library.link/vocab/recordID
.b37438864
Sound
sound
Sound on medium or separate
sound on medium
Specific material designation
  • remote
  • other
System control number
  • safari990087180
  • (OCoLC)990087180
Video recording format
other

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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