https://github.com/stapelberg/kinectboard

An awesome kinect board.
https://github.com/stapelberg/kinectboard

Last synced: 27 days ago
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An awesome kinect board.

• Host: GitHub
• URL: https://github.com/stapelberg/kinectboard
• Owner: stapelberg
• License: gpl-2.0
• Created: 2012-04-24T12:44:16.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2012-07-18T13:49:13.000Z (over 12 years ago)
• Last Synced: 2024-10-14T20:07:08.785Z (2 months ago)
• Language: C++
• Size: 54.8 MB
• Stars: 3
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
kinectboard

===========

An awesome kinect board.

Required Librarys

-----------------

* pthreads

* libfreenect https://github.com/OpenKinect/libfreenect

* Nvidia CUDA SDK >= 4.2

* OpenGL 3

* Glut 3

* SDL 1.2

On Debian, try:

    apt-get install build-essential cmake libsdl1.2-dev freeglut3-dev libglew-dev

Install CUDA

-------------------

Download and install the CUDA SDK >= 4.2 and the NVidia GPU Computing SDK >= 4.2 for your platform from

http://www.nvidia.com/content/cuda/cuda-downloads.html

Install libfreenect

-------------------

Install the latest git version of libfreenect. We used version

`efd073eacfc54a7c028729596858d1618e134b16`:

    git clone git://github.com/OpenKinect/libfreenect.git

    cd libfreenect

    cmake -DCMAKE_INSTALL_PREFIX:PATH=/usr CMakeLists.txt

    make

    sudo make install

Build with cmake

----------------

Afterwards, build kinectboard:

    git clone git://github.com/mstap/kinectboard.git

    cd kinectboard

    cmake .

    make

    

The binaries will be placed in either bin (64 Bit) or bin32 (32 Bit legacy support) depending on your platform.

To start kinectboard you either need to add the corresponding bin folder to your LD_LIBRARY_PATH or run

    ./kinectboard.sh 

in the bin folders.