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OpenCV Computer Vision with Python [electronic resource].

By: Material type: TextTextPublication details: Packt Publishing 2013.Description: 1 online resource ()ISBN:
  • 1299545009 (electronic bk.)
  • 9781299545007 (electronic bk.)
  • 9781782163923 (electronic bk.)
  • 1782163921 (electronic bk.)
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 005.3 006.76
LOC classification:
  • QA76.76.S46
Online resources:
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.
Summary: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library EBSCO Computers Available
Total holds: 0

Description based on print version record.

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.

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.

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