MouseTrap Dev Help

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= Opencv =
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= Standard Dev Environment =
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* Fedora 18
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* OpenCV 2.4.X  - whatever recent version is supported
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* Python 2.X/Python 3.X
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== Complete Git and Mousetrap Install ==
  
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== Great Resources ==
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=== '''Install git and Clone MouseTrap''' ===
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  Open a terminal and
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  '''Run Commands:'''
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  -> sudo yum install git-core                          # Install git
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  -> sudo yum -y update gnome-common glib2-devel\
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    intltool python-devel opencv-python python-xlib    # Update all dependencies, MUST be done before install
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  -> sudo yum -y install gnome-common glib2-devel\
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    intltool python-devel opencv-python python-xlib    # Install latest versions of dependencies
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  -> git clone git://git.gnome.org/mousetrap -b gnome3-wip # Clone the git repo to your computer
  
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=== cv 2.4.3 ===
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=== '''Install MouseTrap''' ===
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* http://docs.opencv.org -> documentation
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  '''Run Commands:'''
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  -> cd mousetrap
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  -> ./autogen.sh                      # Set up MouseTrap
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  -> make                              # Compile MouseTrap
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  -> make install                      # Install Mousetrap executable in appropriate directory
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  -> mousetrap                          # Execute MouseTrap. You may see warnings on your console
  
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* http://docs.opencv.org/opencv2refman.pdf / http://cvhci.anthropomatik.kit.edu/download/visionhci09/opencv.pdf -> pdf documentation resources
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=== '''Commit Changes - Deprecated''' ===
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  -> git status                        * Shows all of the modified files
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  -> git add *                          * This is to add '''ALL''' files to commit list (MAKE SURE YOU WANT THEM ALL FIRST!)
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  -> git commit                        * Add a useful title to '''first line''' of your commit.
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                                          This is in vim so 'i' to insert ':x' to save and quit.
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  -> git push origin INSERT_BRANCH_NAME * This must be the branch you created in the git install.
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                                          This will ask for your git credentials, so have them ready.
  
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* http://fossies.org/dox/OpenCV-2.4.3/index.html -> Complete Hierarchical guide to opencv
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= Further Resources =
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For more information about the mousetrap program:[Mousetrap Program Resource[http://foss2serve.org/index.php?title=MouseTrap_Dev_Help/mousetrap_internals]]
  
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* http://docs.opencv.org/doc/tutorials/tutorials.html -> tutorials on opencv
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For more information about opencv: [Opencv Resource [http://foss2serve.org/index.php?title=MouseTrap_Dev_Help/opencv]]
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==== A cv2 example ====
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Here is a little program that will capture video from the webcam and display it (you might have to CTRL+C)
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"""
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This module is used for testing the opencv2 capabilities
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"""
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import cv2
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#get webcam feed
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capture = cv2.VideoCapture(0)
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while True:
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    #combines VideoCapture.grab() and VideoCapture.retrieve()
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    retrieval_value, image = capture.read()
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    #shows captured image in a window
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    cv2.imshow("webcam", image)
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    #will stop capture with capatible webcam
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    if cv2.waitKey(10) == 27:
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        break
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=== cv 2.1 ===
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* http://opencv.willowgarage.com/documentation/python/index.html -> documentation
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* http://nullege.com/codes/search/cv -> code samples
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== Concerns ==
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Here we place all of the concerns when migrating to a newer version of opencv or the repercussions of not upgrading.
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=== Migration to Python 3 ===
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* Opencv 2.4.3 does not support Python 3
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=== Camera drivers ===
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* Currently, only some camera drivers are supported with the new version of opencv, leading to problems regarding capture. One issue is the inability to cancel the program webcam capture.
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=== Yum repo ===
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* Right now, only the 2.3.1 version of opencv is available in the yum repository
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==OpenCV Info (WIP)==
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===Basics and Source Code===
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OpenCV (Open Source Computer Vision) is a library of programming functions for the realtime computer vision. OpenCV is released under the liberal BSD license and hence it's free for both academic and commercial use. It has C++, C, Python and Java (Android) interfaces and supports Windows, Linux, Android and Mac OS. The library has more than 2500 optimized algorithms. Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 5 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.
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To access the OpenCV repository directly: git clone git://github.com/itseez/opencv.git
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* A good source for this is: http://code.opencv.org/projects/opencv/wiki/Working_with_OpenCV_git_repository
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* The rest of the history plus matches between git commits and SVN revisions are stored at a separate "OpenCV Attic" repository: git://code.opencv.org/opencv_attic.git.
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* Also OpenCV Extra was put to a separate repository: git://code.opencv.org/opencv_extra.git.
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===History===
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"OpenCV was started at Intel in 1999 by Gary Bradski for the purposes of accelerating research in and commercial applications of computer vision in the world and, for Intel, creating a demand for ever more powerful computers by such applications. Vadim Pisarevsky joined Gary to manage Intel's Russian software OpenCV team. Over time the OpenCV team moved on to other companies and other Research. Several of the original team eventually ended up working in robotics and found their way to Willow Garage. In 2008, Willow Garage saw the need to rapidly advance robotic perception capabilities in an open way that leverages the entire research and commercial community and began actively supporting OpenCV, with Gary and Vadim once again leading the effort."
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So what is OpenCV?
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The full name is "Open Source Computer Vision Library." It is a library of programming functions aimed at real-time computer vision. It was developed by Intel and now Willow Garage and Itseez support it. It is free for use under the open source BSD license. Also, it can cross-platform.
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Where did it come from?
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OpenCV emerged from the Intel Research Initiative; it is related to Intel's Performance Library, which today is called Integrated Performance Primitives (IPP). The project launched in 1999. It was looking for CPU-intensive applications. The project goals were to:
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#advance vision research by open and optimized infrastructure
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#disseminate vision knowledge with readable code
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#and advance commercial applications
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----
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'''Version List:'''
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alpha-release at CVPR 2000
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five beta-releases 2001-2005
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Version 1.0 2006
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Continuation of development by Willow Garage 2008 (pre-release version 1.1)
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Version 2.0 2009
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Versions 2.1, 2.2 2010
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Version 2.3 2011
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Version 2.4.0 May 2012
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Version 2.4.1 June 2012
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Version 2.4.2 July 2012
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===Definitions===
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====Modules Available====
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*'''core:''' a compact module defining basic data structures, including the dense multi-dimensional array Mat and basic functions used by all other modules
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*'''imgproc:''' an image processing module that includes linear and non-linear image filtering, geometrical image transformations    (resize, affine and perspective warping, generic table-based remapping), color space conversion, histograms, and so on
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*'''video:''' a video analysis module that includes motion estimation, background subtraction, and object tracking algorithms
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*'''calib3d:''' basic multiple-view geometry algorithms, single and stereo camera calibration, object pose estimation, stereo correspondence algorithms, and elements of 3D reconstruction
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*'''features2d:''' salient feature detectors, descriptors, and descriptor matchers
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*'''objdetect:''' detection of objects and instances of the predefined classes (for example, faces, eyes, mugs, people, cars, and so on)
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*'''highgui:''' an easy-to-use interface to video capturing, image and video codecs, as well as simple UI capabilities
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*'''gpu:''' GPU-accelerated algorithms from different OpenCV modules
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*some other helper modules, such as FLANN and Google test wrappers, Python bindings, and others
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===Good Link Resources===
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* http://www.cvl.isy.liu.se/education/graduate/opencv/Lecture1_History.pdf
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[[Category:Gnome_MouseTrap]]
 
[[Category:Gnome_MouseTrap]]

Latest revision as of 01:58, 25 April 2014

Contents

Standard Dev Environment

  • Fedora 18
  • OpenCV 2.4.X - whatever recent version is supported
  • Python 2.X/Python 3.X

Complete Git and Mousetrap Install

Install git and Clone MouseTrap 

 Open a terminal and
 Run Commands:
 -> sudo yum install git-core                           # Install git 
 -> sudo yum -y update gnome-common glib2-devel\
    intltool python-devel opencv-python python-xlib     # Update all dependencies, MUST be done before install
 -> sudo yum -y install gnome-common glib2-devel\
    intltool python-devel opencv-python python-xlib     # Install latest versions of dependencies
 -> git clone git://git.gnome.org/mousetrap -b gnome3-wip # Clone the git repo to your computer

Install MouseTrap 

 Run Commands:
 -> cd mousetrap
 -> ./autogen.sh                       # Set up MouseTrap
 -> make                               # Compile MouseTrap
 -> make install                       # Install Mousetrap executable in appropriate directory
 -> mousetrap                          # Execute MouseTrap. You may see warnings on your console

Commit Changes - Deprecated 

 -> git status                         * Shows all of the modified files
 -> git add *                          * This is to add ALL files to commit list (MAKE SURE YOU WANT THEM ALL FIRST!)
 -> git commit                         * Add a useful title to first line of your commit.
                                         This is in vim so 'i' to insert ':x' to save and quit.
 -> git push origin INSERT_BRANCH_NAME * This must be the branch you created in the git install.
                                         This will ask for your git credentials, so have them ready.

Further Resources

For more information about the mousetrap program:[Mousetrap Program Resource[1]]

For more information about opencv: [Opencv Resource [2]]

Retrieved from "http://foss2serve.org/index.php?title=MouseTrap_Dev_Help&oldid=2357"
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