lordofdragons / vivefacialtracker

Test app to stream from VIVE Facial Tracker under Linux

VIVE Facial Tracker Test App

Test app to stream from VIVE Facial Tracker under Linux.

Test App - Prepare

To run the test app prepare a python virtual environment like this:

python -m venv venv_vftta

Enter the virtual environment:

source venv_vftta/bin/activate

Install the required packages (Linux):

python -m pip install --upgrade toga numpy Pillow v4l2py opencv-python

Install the required packages (Windows):

python -m pip install --upgrade toga numpy Pillow pygrabber opencv-python

Run the application:

cd src python3 -m testapp

Select the video device of the VIVE Facial Tracker. Usually this is 2 which refers to /dev/video2 . See the information section for more details.

Enable now the camera and you should see the stream.

Relevant Development Files

You should be able to use the "camera.py" and "vivetracker.py" file directly in your python projects.

Information

Additional information for developers and people interested in how the VIVE Facial Tracker is accessed can be found in the file "dev_info"