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Manual installation to use Kinect V2 with SimpleOpenni

If you are using Kinect V1 avoid this steps and just download and paste the library in the the Processing folder

Example of skeleton tracking using KinectV2

Mac OS

  • Install Homebrew opening a terminal and pasting the next code
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

The site that is provided in the link is in Spanish

  • Make sure these build tools are available:
    • wget
    • git
    • cmake
    • pkg-config

If you don't have the tools use Homebrew to install them

  • Open a terminal and download libfreenect2 source

    git clone https://github.com/OpenKinect/libfreenect2.git
cd libfreenect2

  • Open an other terminal and install dependencies:

    brew update
brew install libusb
brew tap homebrew/versions
brew install glfw3

  • Install TurboJPEG (optional)

    brew install jpeg-turbo

  • Install CUDA (optional): TODO

  • Return to the first terminal, or in the libfreenect2 folder, and build:

    mkdir build && cd build
cmake ..
make
make install

  • Install OpenNI2 (optional)

    brew tap brewsci/science
brew install openni2
export OPENNI2_REDIST=/usr/local/lib/ni2
export OPENNI2_INCLUDE=/usr/local/include/ni2

Common errors

If you got this error after run the skeleton example:

SimpleOpenNI Version 1.96
After initialization:

SimpleOpenNI Error: Can't open device:		DeviceOpen using default: no devices found


SimpleOpenNI not initialised

Copy manually the file libfreenect2/build/lib/libfreenect2-openni2.0.dylib into the Processing SimpleOpenNI library folder.

Linux (Kinect v1, models 1414, 1473)

This version works with the following Ubuntu Linux distributions: 18.04, 19.04 and 19.10.

This pluging works with this file version: libboost_system.so.1.54.0. The steps are the following:

1- Install libfreenect (https://github.com/OpenKinect/libfreenect)
2- locate libboost_system.so 1.5* to get the path of ibboost_system and to find the version installed of it.
3 Create a soft link as libboost_system.so.1.54.0.
4- Assuming the path could be usr/lib/x86_64-linux-gnu/, the command to create the soft link will be
sudo ln -s /usr/lib/x86_64-linux-gnu/libboost_system.so.1.67.0 /usr/lib/x86_64-linux-gnu/libboost_system.so.1.54.0
5- Install the library in the sketchbook folder as usual

Source: totovr#24

Thanks to https://github.com/pointcloudAI for the clue