Yolo detection for kinectv2

Using pyfreenect2

Requirements

• Python2 (python3 support : https://github.com/LovelyHorse/py3freenect2)
• Numpy
• Scipy (as appropriated by python version) :
• Python Imaging Library (used for scipy.misc.im* functions) : http://www.pythonware.com/products/pil/
• OpenCV

Installation

cd ~\path\to\pyfreenect2

You need libfreenect2 installed, and also download yolov3.weights and put it in the /examples dir.

For libfreenect2, go to the build directory and run sudo cp ../platform/linux/udev/90-kinect2.rules /etc/udev/rules.d/

Add export LD_LIBRARY_PATH=$HOME/freenect2/lib:$LD_LIBRARY_PATH to your ~/.bashrc file.

pip install scipy opencv-python, use sudo if necessary.

Try sudo ln -s $HOME/freenect2/lib/libfreenect2.so.0.2.0 /usr/lib/libfreenect2.so or check out this issue

sudo python setup.py install.

Usage

Every time the computer restarts, unplug and replug the kinect (Issue).

Navigate to the examples directory, then python run.py