HornetsEye

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|[[Image:Mrcrubytem08.jpg|thumb|240px|Seminar presentation [http://vision.eng.shu.ac.uk/jan/mrcrubytem08.pdf Machine vision and device integration with the Ruby Programming Language]]]
 
|[[Image:Mrcrubytem08.jpg|thumb|240px|Seminar presentation [http://vision.eng.shu.ac.uk/jan/mrcrubytem08.pdf Machine vision and device integration with the Ruby Programming Language]]]
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|<html><div class="thumb tright"><div style="width:240px;"><embed id="VideoPlayback" src="http://video.google.com/googleplayer.swf?docid=-3810247215423234127&hl=en&fs=true" style="width:240px;height:200px" allowFullScreen="true" allowScriptAccess="always" type="application/x-shockwave-flash" pluginspage="http://www.macromedia.com/go/getflashplayer"> </embed>
 
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<div class="thumbcaption">Demo video showing interactive development of video processing algorithms (available as <a href="http://video.google.com/videoplay?docid=-3810247215423234127">Google-Video</a> or <a href="http://vision.eng.shu.ac.uk/jan/hornetseye-demo.avi">24.4 MByte DivX-video</a>)</div></div></div></html>
 
 
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|<html><div class="thumb tright"><div style="width:240px;"><object type="application/x-shockwave-flash" data="http://www.youtube.com/v/wNFr7RNWeCs" width="240" height="204"><param name="movie" value="http://www.youtube.com/v/wNFr7RNWeCs"/></object><div class="thumbcaption">New video demonstrating HornetsEye capabilities (available as <a href="http://vision.eng.shu.ac.uk/jan/hornetseye2010.avi">45.6 MByte H.264-video</a>)</div></div></div></html>
 
|<html><div class="thumb tright"><div style="width:240px;"><object type="application/x-shockwave-flash" data="http://www.youtube.com/v/wNFr7RNWeCs" width="240" height="204"><param name="movie" value="http://www.youtube.com/v/wNFr7RNWeCs"/></object><div class="thumbcaption">New video demonstrating HornetsEye capabilities (available as <a href="http://vision.eng.shu.ac.uk/jan/hornetseye2010.avi">45.6 MByte H.264-video</a>)</div></div></div></html>

Revision as of 21:07, 16 April 2011

Poster for the 2008 AVA meeting in Bristol
Conference presentation Real-time Computer Vision With Ruby presented at OSCON 2008
Scanning barcodes with a webcam (also available as 6.9 MB DivX4 video)
Seminar presentation Machine vision and device integration with the Ruby Programming Language
New video demonstrating HornetsEye capabilities (available as 45.6 MByte H.264-video)

Contents

Introduction

HornetsEye is a Ruby-extension for developing video processing and real-time computer vision software under GNU/Linux offering interfaces to do image- and video-I/O with RMagick, Xine, firewire digital camera, and video for Linux. A new class of unprecedented solutions and a new way of working becomes conceivable when applying a dynamically typed, object-oriented language like Ruby to computer vision.

Download

Hornetseye.png Check the installation instructions on how to obtain and install HornetsEye.

Software Engineering

HornetsEye brings the functionality of existing powerful free software packages into Ruby. HornetsEye also tries to make existing Ruby extension operate with each other to enable the development of novel solutions:

  1. Qt4.png Qt4-QtRuby, Kde.png Korundum: QtRuby and Korundum can be used to develop graphical user interfaces and desktop applications with Qt4 and KDE4.
  2. Xine logo.png Xine: Using Xine one can read virtually any video file and it is even possible to read streaming videos.
  3. Mplayerlogo.png MPlayer: MPlayer is a player which can be used to read video files under GNU/Linux as well as Microsoft Windows.
  4. Gears.png Mesa: Mesa is used for OpenGL-accelerated display of images.
  5. Xorg.png X.Org: X.Org is used for 24-bit true colour display as well as for hardware accelerated video display under GNU/Linux
  6. Gnuplot logo.gif Gnuplot: Gnuplot is used for plotting histograms and 3D profiles.
  7. Tanaka.png NArray: There are datatype conversions to make use of Masahiro Tanaka's NArray. NArray is an implementation of n-dimensional arrays for Ruby.
  8. Opencv logo.png OpenCV: There are datatype conversions to make use of OpenCV::CvMat. OpenCV can be used from within Ruby using Masakazu Yonekura's OpenCV Ruby-extension.
  9. Fftw logo.gif FFTW. The fftw-library can is maybe the fastest library for performing discrete Fourier transforms.
  10. RMagick.png RMagick: The RMagick Ruby-extension allows to use the powerful Magick++ library in Ruby for loading and saving images.
  11. Coriander.png libdc1394: Using libdc1394 one can make use of a large choice of firewire digital cameras.
  12. OpenEXR.jpg OpenEXR: The OpenEXR library is used for saving and loading high dynamic range images.
  13. C--boost logo.gif Boost: The Boost Library offers smart pointers to do exception safe programming, multi-dimensional arrays, template meta-programming, abstract data types for linear algebra and many other programming concepts. The Boost library is going to be part of a future C++ standard.
  14. Stl logo.gif STL: The software makes use of the Standard Template Library
  15. Ruby.png Ruby programming language
  16. Bazaar.png Bazaar: Bazaar is used for version control. You can access the repository on the Lp-diamond.png Launchpad site (see Bazaar Quick Start Card (PDF, PNG) or Bazaar User Guide if you want to know more about using Bazaar).
  17. Gcc logo.png Gcc: gcc is the C++ compiler of the GNU project.
  18. Gnu-head.jpg autoconf, automake and make: make, autoconf and automake are used to configure and perform the build of the software on GNU/Linux as well as Microsoft Windows.
  19. Naturaldocs.png Natural Docs: Natural Docs is used to create the HTML documentation.
  20. Nsis.gif NSIS: The Windows installer is generated with Nullsoft Scriptable Install System.
  21. Dotgnu.png DotGNU: The JIT library of the DotGNU project is repurposed for generating image processing code at runtime.

See Also

External Links

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