A Python toolbox for visual and auditory stimulation based on pyglet and pylsl.
pyReiz is a low-level auditory and visual stimulus presentation suite wrapping pyglet, sending markers via a pylsl outlet. You can also read more extensive documentation online.
The requirements for pyReiz are pyglet and pylsl. They are checked, and if necessary installed, during
pip install. There is also a dependency on pyttsx3 to allow on-demand synthesis of auditory cues from text. If you don't need that or can't acquire a version of pyttsx3 for your architecture, install pyreiz without the
pip install Reiz[tts]
The most recent version of pylsl is not yet on pypi. A solution is to install libsl manually. You download a recent build of liblsl from https://github.com/sccn/liblsl/releases. Afterwards, install pylsl directly from github.
pip install git+https://github.com/labstreaminglayer/liblsl-Python.git pip install Reiz[tts]
On Mac, tts and reiz-marker are not supported. These functionalities will be mocked, so at least, you can develop on Mac to deploy on Linux or Windows.
pip install Reiz
git clone https://github.com/pyreiz/pyreiz.git cd pyreiz pip install -e .[tts]
Test your installation
After you installed Reiz, you can give it a test-run by calling
python -m reiz.examples.basic from your terminal. This should start a throwaway MarkerServer, and present a series of visual and auditory stimuli. If anything does not work out, inform us of the issue.
Create your own experiment
Examples can be found in
reiz/examples. A quite extensively documented basic example can be found here: basic example.
Because all markers are send via LSL, i suggest recording with Labrecorder. Use at least 1.13, as this version supports BIDS-conform recording, offers a remote interface and has a critical timing bugfix included.
The key requirements for pyReiz are pyglet and pylsl. We require pylsl>=1.13 because a timing issue was fixed in that version (see https://github.com/sccn/liblsl/issues/8), and pyglet>1.4 because there was a breaking change between 1.3 and 1.4 in the way audio was generated and played (see https://github.com/pyreiz/pyreiz/issues/2). For text-to-speech, which is included with
[tts], a key requirement is pyttsx3.
I adapted code from Cocos2d for generation of some openGL primitives.
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