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Hand (or shape) tracking implementation of Kris Kitani's per-pixel segmentation algorithm, for OpenFrameworks

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irllabs/ofxRGBHandTracK

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OpenFrameworks based machine vision application for tracking a human hand on a contrasting background, and to train a Support Vector Machine (SVM) to classify static hand poses.

This application requires the following addons:

  • ofxConvexHull
  • ofxCv
  • ofxGrt
  • ofxGui
  • ofx.JSON
  • ofxOpenCv
  • ofxOSC
  • ofxPerPixelSegment

To install them for your environment, Google their names, find their GitHub repository, and clone those repositories in .../of_v0.9.3_osx_release/addons

Steps for getting this project running:

  • install OpenFrameworks 0.93
  • install all the addons listed above

Then you have two options:

  • Clone this repository into .../of/apps/myApps/
  • Open 'ofxRGBHandTracK.xcodeproj'
  • Use the OFXCodeMenu to add all the addons to a the project
  • Build (make sure to build 'ofxRGBHandTracK' not 'openFrameworks')

or

  • use the openFrameworks Project builder to make a new project; include all the necessary addons
  • replace the three files inside the generated projects .../src folder with the ones from this repository

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Hand (or shape) tracking implementation of Kris Kitani's per-pixel segmentation algorithm, for OpenFrameworks

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