rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: OpenCV Computer Vision with Python
  name:
    name part: Howse, Joseph.
    role:
      role term: creator
  type of resource: text
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: xx
    publisher: Packt Publishing
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: A practical, project-based tutorial for Python developers and hobbyists who want to get started with computer vision with OpenCV and Python. OpenCV Computer Vision with Python is written for Python developers who are new to computer vision and want a practical guide to teach them the essentials. Some understanding of image data (for example, pixels and color channels) would be beneficial. At a minimum you will need access to at least one webcam. Certain exercises require additional hardware like a second webcam, a Microsoft Kinect or an OpenNI-compliant depth sensor such as the Asus Xtion PRO.
  table of contents: Setting up OpenCV -- Handling files, cameras, and GUIs -- Filtering images -- Tracking faces with Haar cascades -- Detecting foreground/background regions and depth -- Integrating with Pygame -- Generating Haar cascades for custom targets.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  subject:
    topic: Computer vision
  subject:
    topic: Computer vision
    topic: Programming
  subject:
    topic: Python (Computer program language)
  identifier: 1299545009
  identifier: 9781299545007
  identifier: 9781782163923
  identifier: 1782163921
  identifier: 9781621988847
  identifier: 1621988848
  identifier: 9781782163930
  identifier: 178216393X
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: IDEBK
    record creation date: 130510
    record change date: 20240717213016.0
    record identifier: kn-ocn842885402
    language of cataloging:
      language term: eng