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Description:

pysmite 1.0.2

SMITE is a toolbox for using eye trackers from SMI GmbH with Python,
specifically offering integration with PsychoPy. A Matlab version
that integrates with Psychtoolbox is also available from https://github.com/dcnieho/SMITE
Cite as:
Niehorster, D.C., & Nyström, M., (2019). SMITE: A
toolbox for creating Psychtoolbox and Psychopy experiments with SMI eye
trackers. doi: 10.3758/s13428-019-01226-0.
For questions, bug reports or to check for updates, please visit
www.github.com/marcus-nystrom/SMITE.
SMITE is licensed under the Creative Commons Attribution 4.0 (CC BY 4.0) license.
demos/read_me.py shows a minimal example of using the toolbox's
functionality.
Tested on Windows using PsychoPy with Python 2.7. Also tested with PsychoPy3 (Python 3.6, but see issues below)
To get started
If you know what you are doing, install SMITE using: pip install py-smite or python -m pip install py-smite.
If you use a standalone PsychoPy installation, do the following steps:

Go to C:\Program Files\PsychoPy (or wherever you installed PsychoPy) and open a command prompt in the same folder as where you find python.exe (should be the main PsychoPy install folder). So the command prompt you have should start with something like C:\Program Files\PsychoPy>
Here you can then pip-install py-smite, by issuing a command like python -m pip install py-smite --upgrade.

Then run read_me.py from the 'examples' folder. Reading through read_me.py should provide a good starting point for most users of SMITE.
Usage
As demonstrated in the demo scripts, the toolbox is configured through
the following interface:

retrieve (default) settings for eye tracker of interest: settings = SMITE.get_defaults('trackerName'); Supported tracker Names are HiSpeed,
RED, REDm, RED250mobile, REDn_Scientific, and REDn_Professional.
edit settings if wanted
initialize SMITE using this settings struct: `EThndl = SMITE(settings)

API
Methods
The following method calls are available on a SMITE instance

Call
inputs
outputs
description

get_options()

settings: module with current settings
Get settings

init()

Connect to the SMI eye tracker and initialize it according to the requested settings

is_connected()

status: SMI status code (int). For its meaning, see the iView API documentation.
Report status of the connection to the eye tracker

calibrate()
win: window pointer to PsychoPy screen where the calibration stimulus should be shown. See visual.Window()

Do participant setup, calibration and validation

start_recording()
clear_buffer: optional. Boolean indicating whether the IDF file buffer should be cleared before recording starts or not. This clears all already recorded data from the idf file, so set to true with caution

Start recording eye-movement data to idf file

start_buffer()
sample_buffer_length: optional. Size in number of samples of recording buffer.

Start recording eye-movement data into buffer for online use

send_message()
msg: Message to be written into idf file

Insert message into idf file

get_latest_sample()

sample:struct array
Get most recent data sample

consume_buffer_data()

list of samples
Get data from the online buffer. The returned samples are removed from the buffer

peek_buffer_data()

list of samples
Get data from the online buffer. The returned samples remain in the buffer

stop_buffer()
clear_buffer: optional. Boolean indicating whether the online buffer should be cleared

Stop recording data into buffer

stop_recording()

Stop recording data into idf file

save_data()
filename: filename (including path) where idf file will be storeduser: optional. Indentifier that gets placed in idf file headerdescription: optional. Description that gets placed in idf file headerappend_version: optional. Boolean indicating whether version numbers (_1, _2, etc) will automatically get appended to the filename if the destination file already exists

Save idf file to specified location

de_init()
close: optional. Boolean indicating whether the iView eye tracker server should be shut down

Close connection to the eye tracker and clean up

set_begaze_trial_image()
filename: filename of stimulus that is shown on this trial. Must have one of the following extentions: .png, .jpg, .jpeg, .bmp, or .avi

Put specially prepared message in idf file to notify BeGaze what stimulus image/video belongs to a trial

set_begaze_key_press()
string: string that will show up on BeGaze's event timeline. Can be name of a key, but also other arbitrary string

Put specially prepared message in idf file that shows up as keypress in BeGaze

set_begaze_mouse_click()
which: string indicating which mouse button, left or rightx: horizontal pixel coordinate of mouse clicky: vertical coordinate of mouse click

Put specially prepared message in idf file that shows up as mouse click in BeGaze

start_eye_image_recording()
filename: filename where recorded eye images will be savedformat: format to store eye images in, must be one of: jpg, bmp, xvid, huffyuv, alpary, xmp4duration: optional. If provided, runs eye image recording for this many seconds

Start recording eye images to file. Not supported on RED250mobile, REDn Scientific, and REDn Professional

stop_eye_image_recording()

Stop recording eye images to file

set_dummy_mode()

Enable dummy mode, which allows running the program without an eye tracker connected

ToDos (current discrepancies between the paper and the toolbox):

File transfer in two computer setups not implemented
do_flip_eye not implemented (fixes a bug in older versions of iViewX, e.g., v. 2.7.13, where left and right eyes are flipped)
get_options returns all settings. set_options does nothing. This means that it's currently up to the user not to use functionally that is not available during recording (for instance changing the sampling frequency of the eye tracker).
Images returned from the API look strange when using PsychoPy3. Affects validation screen and eye images.