def drawIA(self, x, y, size, index, color, name):
'''Draws square interest area in EDF and a corresponding filled box on
eye-tracker display.
Parameters
x, y -- x and y coordinates in degrees visual angle
size -- length of one edge of square in degrees visual angle
index -- number to assign interest area in EDF
color -- color of box drawn on eye-tracker display (0 - 15)
name -- string to name interest area in EDF
'''
# Convert units to eyelink space
elx = deg2pix(x, self.win.monitor) + (self.sres[0] / 2.0)
ely = -(deg2pix(y, self.win.monitor) - (self.sres[1] / 2.0))
elsz = deg2pix(size, self.win.monitor) / 2.0
# Make top left / bottom right coordinates for square
tplf = map(round, [elx - elsz, ely - elsz])
btrh = map(round, [elx + elsz, ely + elsz])
# Construct command strings
flist = [index, name, color] + tplf + btrh
iamsg = '!V IAREA RECTANGLE {0} {3} {4} {5} {6} {1}'.format(*flist)
bxmsg = 'draw_filled_box {3} {4} {5} {6} {2}'.format(*flist)
# Send commands
self.tracker.sendMessage(iamsg)
self.tracker.sendCommand(bxmsg)
def _get_tobii_pos(self, p):
"""Convert PsychoPy coordinates to Tobii ADCS coordinates.
Args:
p: Gaze position (x, y) in PsychoPy coordinate systems.
Returns:
Gaze position in Tobii ADCS.
"""
if self.win.units == 'norm':
return ((p[0] + 1) / 2, (p[1] - 1) / -2)
elif self.win.units == 'height':
return (p[0] * (self.win.size[1] / self.win.size[0]) + 0.5,
-p[1] + 0.5)
elif self.win.units == 'pix':
return self._pix2tobii(p)
elif self.win.units in ['cm', 'deg', 'degFlat', 'degFlatPos']:
if self.win.units == 'cm':
p_pix = (cm2pix(p[0], self.win.monitor),
cm2pix(p[1], self.win.monitor))
elif self.win.units == 'deg':
p_pix = (deg2pix(p[0], self.win.monitor),
deg2pix(p[1], self.win.monitor))
elif self.win.units in ['degFlat', 'degFlatPos']:
p_pix = (deg2pix(
np.array(p), self.win.monitor, correctFlat=True))
return self._pix2tobii(p_pix)
else:
raise ValueError('unit ({}) is not supported'.format(
self.win.units))
def get_tobii_pos(self, p):
"""
Convert Tobii position to PsychoPy coordinate system.
:param p: Position (x, y)
"""
if self.win.units == 'norm':
gp = ((p[0] + 1) / 2, (p[1] + 1) / 2)
elif self.win.units == 'height':
gp = (p[0] * self.win.size[1] / self.win.size[0] + 0.5, p[1] + 0.5)
elif self.win.units == 'pix':
gp = (p[0] / self.win.size[0] + 0.5, p[1] / self.win.size[1] + 0.5)
elif self.win.units == 'cm':
p_pix = (cm2pix(p[0],
self.win.monitor), cm2pix(p[1], self.win.monitor))
gp = (p_pix[0] / self.win.size[0] + 0.5,
p_pix[1] / self.win.size[1] + 0.5)
elif self.win.units == 'deg':
p_pix = (deg2pix(p[0], self.win.monitor),
deg2pix(p[1], self.win.monitor))
gp = (p_pix[0] / self.win.size[0] + 0.5,
p_pix[1] / self.win.size[1] + 0.5)
elif self.win.units in ['degFlat', 'degFlatPos']:
p_pix = (deg2pix(np.array(p), self.win.monitor, correctFlat=True))
gp = (p_pix[0] / self.win.size[0] + 0.5,
p_pix[1] / self.win.size[1] + 0.5)
else:
raise ValueError('unit ({}) is not supported'.format(
self.win.units))
return (gp[0], 1 - gp[1]) # flip vert
def _calcFieldCoordsRendered(self):
if self.units in ['norm', 'pix','height']:
self._fieldSizeRendered=self.fieldSize
self._fieldPosRendered=self.fieldPos
elif self.units in ['deg', 'degs']:
self._fieldSizeRendered=deg2pix(self.fieldSize, self.win.monitor)
self._fieldPosRendered=deg2pix(self.fieldPos, self.win.monitor)
elif self.units=='cm':
self._fieldSizeRendered=cm2pix(self.fieldSize, self.win.monitor)
self._fieldPosRendered=cm2pix(self.fieldPos, self.win.monitor)
def _calcVerticesRendered(self):
self.needVertexUpdate=False
if self.units in ['norm', 'pix', 'height']:
self._verticesRendered=self.vertices
self._posRendered=self.pos
elif self.units in ['deg', 'degs']:
self._verticesRendered=deg2pix(self.vertices, self.win.monitor)
self._posRendered=deg2pix(self.pos, self.win.monitor)
elif self.units=='cm':
self._verticesRendered=cm2pix(self.vertices, self.win.monitor)
self._posRendered=cm2pix(self.pos, self.win.monitor)
self._verticesRendered = self._verticesRendered * self.size
def setHeight(self,height, log=True):
"""Set the height of the letters (including the entire box that surrounds the letters
in the font). The width of the letters is then defined by the font.
"""
#height in pix (needs to be done after units)
if self.units=='cm':
if height==None: self.height = 1.0#default text height
else: self.height = height
self.heightPix = cm2pix(self.height, self.win.monitor)
elif self.units in ['deg', 'degs']:
if height==None: self.height = 1.0
else: self.height = height
self.heightPix = deg2pix(self.height, self.win.monitor)
elif self.units=='norm':
if height==None: self.height = 0.1
else: self.height = height
self.heightPix = self.height*self.win.size[1]/2
elif self.units=='height':
if height==None: self.height = 0.2
else: self.height = height
self.heightPix = self.height*self.win.size[1]
else: #treat units as pix
if height==None: self.height = 20
else: self.height = height
self.heightPix = self.height
#need to update the font to reflect the change
self.setFont(self.fontname, log=False)
if log and self.autoLog:
self.win.logOnFlip("Set %s height=%.2f" %(self.name, height),
level=logging.EXP,obj=self)
def sac_detect(self, x, y, radius):
"""
Checks if current gaze position is outside a circular interest area.
:param x: X coordinate in degrees visual angle for center of circle IA.
:type x: float or int
:param y: Y coordinate in degrees visual angle for center of circle IA.
:type y: float or int
:param radius: Radius of detection circle in degrees visual angle.
:type radius: float or int
:return: List of whether saccade was detected and the gaze coordinates
at time of detection. In the form of [bool, [x, y]].
:rtype: bool, list
"""
# Convert coordinates to Eyelink space
elx, ely = self.convert_coords(x, y)
elsr = deg2pix(radius, self.win.monitor)
if self.realconnect:
# Get current gaze position
gaze = self.get_gaze()
# Calculate distance of gaze from circle center
gdist = ((gaze[0] - elx)**2) + ((gaze[1] - ely)**2)
# Compare to radius
outcirc = gdist > (elsr**2)
# Convert gaze to psychopy units
gaze = self.convert_coords(gaze[0], gaze[1], to='psychopy')
return outcirc, gaze
def _windowUnitsToPix(self, pos):
"""Convert user specified window units to 'pix'. This method is the
inverse of `_pixToWindowUnits`.
Parameters
----------
pos : ArrayLike
Position `(x, y)` in 'pix' coordinates to convert.
Returns
-------
ndarray
Position `(x, y)` in window units.
"""
pos = np.asarray(pos, dtype=np.float32)
if self.win is None:
return pos
if self.win.units == 'pix':
return pos
elif self.win.units == 'norm':
return pos * self.win.size / 2.0
elif self.win.units == 'cm':
return cm2pix(pos, self.win.monitor)
elif self.win.units == 'deg':
return deg2pix(pos, self.win.monitor)
elif self.win.units == 'height':
return pos * float(self.win.size[1])
def contains(self, x, y=None):
"""Determines if a point x,y is inside the extent of the stimulus.
Can accept: a) two args, x and y; b) one arg, as a point (x,y) that is
list-like; or c) an object with a getPos() method that returns x,y, such
as a mouse. Returns True if the point is within the area defined by `vertices`.
This handles complex shapes, including concavities and self-crossings.
Note that, if your stimulus uses a mask (such as a Gaussian blob) then
this is not accounted for by the `contains` method; the extent of the
stmulus is determined purely by the size, pos and orientation settings
(and by the vertices for shape stimuli).
See coder demo, shapeContains.py
"""
if self.needVertexUpdate:
self._calcVerticesRendered()
if hasattr(x, 'getPos'):
x, y = x.getPos()
elif type(x) in [list, tuple, numpy.ndarray]:
x, y = x[0], x[1]
if self.units in ['deg','degs']:
x, y = deg2pix(numpy.array((x, y)), self.win.monitor)
elif self.units == 'cm':
x, y = cm2pix(numpy.array((x, y)), self.win.monitor)
if self.ori:
oriRadians = numpy.radians(self.ori)
sinOri = numpy.sin(oriRadians)
cosOri = numpy.cos(oriRadians)
x0, y0 = x-self._posRendered[0], y-self._posRendered[1]
x = x0 * cosOri - y0 * sinOri + self._posRendered[0]
y = x0 * sinOri + y0 * cosOri + self._posRendered[1]
return pointInPolygon(x, y, self)
def setHeight(self, height, log=True):
"""Set the height of the letters (including the entire box that surrounds the letters
in the font). The width of the letters is then defined by the font.
"""
#height in pix (needs to be done after units)
if self.units == 'cm':
if height == None: self.height = 1.0 #default text height
else: self.height = height
self.heightPix = cm2pix(self.height, self.win.monitor)
elif self.units in ['deg', 'degs']:
if height == None: self.height = 1.0
else: self.height = height
self.heightPix = deg2pix(self.height, self.win.monitor)
elif self.units == 'norm':
if height == None: self.height = 0.1
else: self.height = height
self.heightPix = self.height * self.win.size[1] / 2
elif self.units == 'height':
if height == None: self.height = 0.2
else: self.height = height
self.heightPix = self.height * self.win.size[1]
else: #treat units as pix
if height == None: self.height = 20
else: self.height = height
self.heightPix = self.height
#need to update the font to reflect the change
self.setFont(self.fontname, log=False)
if log and self.autoLog:
self.win.logOnFlip("Set %s height=%.2f" % (self.name, height),
level=logging.EXP,
obj=self)
def _windowUnits2pix(self, win_handle, pos):
win = self._iohub_server._psychopy_windows.get(win_handle)
win_units = win['units']
monitor = win['monitor']
pos = np.asarray(pos)
if win_units == 'pix':
return pos
elif win_units == 'norm':
return pos * win['size'] / 2.0
elif win_units == 'cm':
if monitor:
return cm2pix(pos, monitor['monitor'])
else:
# should raise exception?
print2err(
"iohub Mouse error: Window is using units %s but has no Monitor definition."
% win_units)
elif win_units == 'deg':
if monitor:
return deg2pix(pos, monitor['monitor'])
else:
# should raise exception
print2err(
"iohub Mouse error: Window is using units %s but has no Monitor definition."
% win_units)
elif win_units == 'height':
return pos * float(win['size'][1])
def _calcSizeRendered(self):
"""Calculate the size of the stimulus in coords of the :class:`~psychopy.visual.Window` (normalised or pixels)"""
if self.units in ['norm','pix', 'height']: self._sizeRendered=self.size
elif self.units in ['deg', 'degs']: self._sizeRendered=deg2pix(self.size, self.win.monitor)
elif self.units=='cm': self._sizeRendered=cm2pix(self.size, self.win.monitor)
else:
logging.ERROR("Stimulus units should be 'height', 'norm', 'deg', 'cm' or 'pix', not '%s'" %self.units)
def deg2tobii(pos, mon):
''' Converts from degrees to Tobiis coordinate system [0, 1].
Note that the Tobii coordinate system start in the upper left corner
and the PsychoPy coordinate system in the center
'''
# First convert from deg to pixels
pos[:, 0] = deg2pix(pos[:, 0], mon, correctFlat=False)
pos[:, 1] = deg2pix(pos[:, 1], mon, correctFlat=False)
# Then normalize data -1,1
pos[:, 0] = pos[:, 0] / float(mon.getSizePix()[0])/2
pos[:, 1] = pos[:, 1] / float(mon.getSizePix()[1])/2
#.. finally shift to tobii coordinate system
return norm2tobii(pos)
def _calcSizeRendered(self):
"""DEPRECATED in 1.80.00. This funtionality is now handled by _updateVertices() and verticesPix"""
#raise DeprecationWarning, "_calcSizeRendered() was deprecated in 1.80.00. This funtionality is nowhanded by _updateVertices() and verticesPix"
if self.units in ['norm','pix', 'height']: self._sizeRendered=copy.copy(self.size)
elif self.units in ['deg', 'degs']: self._sizeRendered=deg2pix(self.size, self.win.monitor)
elif self.units=='cm': self._sizeRendered=cm2pix(self.size, self.win.monitor)
else:
logging.ERROR("Stimulus units should be 'height', 'norm', 'deg', 'cm' or 'pix', not '%s'" %self.units)
def _calcPosRendered(self):
"""DEPRECATED in 1.80.00. This funtionality is now handled by _updateVertices() and verticesPix"""
#raise DeprecationWarning, "_calcSizeRendered() was deprecated in 1.80.00. This funtionality is now handled by _updateVertices() and verticesPix"
if self.units in ['norm', 'pix', 'height']:
self._posRendered = copy.copy(self.pos)
elif self.units in ['deg', 'degs']:
self._posRendered = deg2pix(self.pos, self.win.monitor)
elif self.units == 'cm':
self._posRendered = cm2pix(self.pos, self.win.monitor)
def __init__(self, win, actors, duration_frames, attn_video_size):
"""
Initialize class
:param win: window to use
:param actors: actors to show
:param duration_frames: how long to show (in frames)
"""
self.win = win
self.actors = actors
self.duration_frames = duration_frames
self.left_roi=visual.Rect(self.win, width=550, height=750, units='pix')
self.left_roi.pos=[deg2pix(-12,win.monitor),deg2pix(0,win.monitor)]
self.left_roi.lineColor = [1, -1, -1]
self.left_roi.lineWidth = 10
self.right_roi=visual.Rect(self.win, width=550, height=750, units='pix')
self.right_roi.pos=[deg2pix(12,win.monitor),deg2pix(0,win.monitor)]
self.right_roi.lineColor = [1, -1, -1]
self.right_roi.lineWidth = 10
self.attn_video=MovieStimulus(self.win, '', '', 'attn.mpg', attn_video_size)
def _windowUnits2pix(self, pos):
if self.win.units == "pix":
return pos
elif self.win.units == "norm":
return pos * self.win.size / 2.0
elif self.win.units == "cm":
return cm2pix(pos, self.win.monitor)
elif self.win.units == "deg":
return deg2pix(pos, self.win.monitor)
elif self.win.units == "height":
return pos * float(self.win.size[1])
def _windowUnits2pix(self, pos):
if self.win.units == 'pix':
return pos
elif self.win.units == 'norm':
return pos * self.win.size / 2.0
elif self.win.units == 'cm':
return cm2pix(pos, self.win.monitor)
elif self.win.units == 'deg':
return deg2pix(pos, self.win.monitor)
elif self.win.units == 'height':
return pos * float(self.win.size[1])
def _windowUnits2pix(self, pos):
if self.win.units == 'pix':
return pos
elif self.win.units == 'norm':
return pos * self.win.size / 2.0
elif self.win.units == 'cm':
return cm2pix(pos, self.win.monitor)
elif self.win.units == 'deg':
return deg2pix(pos, self.win.monitor)
elif self.win.units == 'height':
return pos * float(self.win.size[1])
def _calcPosRendered(self):
"""Calculate the pos of the stimulus in pixels"""
if self.units == 'pix':
self._posRendered = self.pos
elif self.units == 'cm':
self._posRendered = cm2pix(self.pos, self.win.monitor)
elif self.units =='deg':
self._posRendered = deg2pix(self.pos, self.win.monitor)
elif self.units == 'norm':
self._posRendered = self.pos * self.win.size/2.0
elif self.units == 'height':
self._posRendered = self.pos * self.win.size[1]
def _calcPosRendered(self):
"""Calculate the pos of the stimulus in pixels"""
if self.units == 'pix':
self._posRendered = self.pos
elif self.units == 'cm':
self._posRendered = cm2pix(self.pos, self.win.monitor)
elif self.units == 'deg':
self._posRendered = deg2pix(self.pos, self.win.monitor)
elif self.units == 'norm':
self._posRendered = self.pos * self.win.size / 2.0
elif self.units == 'height':
self._posRendered = self.pos * self.win.size[1]
def convert_coords(self, x, y, to='eyelink'):
"""
Converts from degrees visual angle units to EyeLink Pixel units.
:param x: X coordinate in visual angle.
:type x: float or int
:param y: Y coordinate in viusal angle.
:type y: float or int
:param to: Direction of conversion. Options: 'eyelink' or 'psychopy'.
:return: Two values in order x, y
"""
if to == 'eyelink':
# Convert coordinates to Eyelink space
elx = deg2pix(x, self.win.monitor) + self.scenter[0]
ely = -(deg2pix(y, self.win.monitor) - self.scenter[1])
elif to == 'psychopy':
elx = pix2deg(x - self.scenter[0], self.win.monitor)
ely = pix2deg(-(y - self.scenter[1]), self.win.monitor)
return [elx, ely]
def _calcSizeRendered(self):
"""DEPRECATED in 1.80.00. This funtionality is now handled by _updateVertices() and verticesPix"""
#raise DeprecationWarning, "_calcSizeRendered() was deprecated in 1.80.00. This funtionality is nowhanded by _updateVertices() and verticesPix"
if self.units in ['norm', 'pix', 'height']:
self._sizeRendered = copy.copy(self.size)
elif self.units in ['deg', 'degs']:
self._sizeRendered = deg2pix(self.size, self.win.monitor)
elif self.units == 'cm':
self._sizeRendered = cm2pix(self.size, self.win.monitor)
else:
logging.ERROR(
"Stimulus units should be 'height', 'norm', 'deg', 'cm' or 'pix', not '%s'"
% self.units)
def _get_tobii_pos(self, p, units=None):
"""Convert PsychoPy coordinates to Tobii ADCS coordinates.
Args:
p: Gaze position (x, y) in PsychoPy coordinate systems.
units: The PsychoPy coordinate system of p.
Returns:
Gaze position in Tobii ADCS. For example: (0,0).
"""
if units is None:
units = self.win.units
if units == "norm":
return (p[0] / 2 + 0.5, p[1] / -2 + 0.5)
elif units == "height":
return (p[0] * (self.win.size[1] / self.win.size[0]) + 0.5,
-p[1] + 0.5)
elif units == "pix":
return self._pix2tobii(p)
elif units in ["cm", "deg", "degFlat", "degFlatPos"]:
if units == "cm":
p_pix = (cm2pix(p[0], self.win.monitor),
cm2pix(p[1], self.win.monitor))
elif units == "deg":
p_pix = (
deg2pix(p[0], self.win.monitor),
deg2pix(p[1], self.win.monitor),
)
elif units in ["degFlat", "degFlatPos"]:
p_pix = deg2pix(np.array(p),
self.win.monitor,
correctFlat=True)
p_pix = tuple(round(pos) for pos in p_pix)
return self._pix2tobii(p_pix)
else:
raise ValueError("unit ({}) is not supported".format(units))
def fix_check(self, size, ftime, button):
"""
Checks that fixation is maintained for certain time.
:param size: Length of one side of box in degrees visual angle.
:type size: float or int
:param ftime: Length of time to check for fixation in seconds.
:type ftime: float
:param button: Key to press to recalibrate eye-tracker.
:type button: char
"""
# Calculate Fix check borders
size = deg2pix(size, self.win.monitor) / 2.0
xbdr = [self.scenter[0] - size, self.scenter[0] + size]
ybdr = [self.scenter[1] - size, self.scenter[1] + size]
# Set status message & Draw box
self.set_status('Fixation Check')
bxmsg = 'draw_box {} {} {} {} 1'.format(xbdr[0], ybdr[0], xbdr[1],
ybdr[1])
self.tracker.sendCommand(bxmsg)
# Begin recording
self.tracker.startRecording(0, 0, 1, 1)
# Begin polling
fixtime = time.clock()
while self.realconnect: # only start check loop if real connection
# Check for recalibration button
keys = event.getKeys(button)
if keys:
self.tracker.stopRecording()
self.calibrate()
break
gaze = self.get_gaze()
# Are we in the box?
if xbdr[0] < gaze[0] < xbdr[1] and ybdr[0] < gaze[1] < ybdr[1]:
# Have we been in the box long enough?
if (time.clock() - fixtime) > ftime:
self.tracker.stopRecording()
break
else:
# Reset clock if not in box
fixtime = time.clock()
def _addRuntimeInfoToDisplayConfig(self):
if self not in Display._enabled_display_instances:
Display._enabled_display_instances.append(self)
display_config = self.getConfiguration()
runtime_info = display_config.get("runtime_info", None)
if runtime_info is None:
runtime_info = self._getRuntimeInfoByIndex(self.device_number)
display_config["runtime_info"] = runtime_info
self._createPsychopyCalibrationFile()
pixel_width = runtime_info["pixel_width"]
pixel_height = runtime_info["pixel_height"]
phys_width = display_config["physical_dimensions"]["width"]
phys_height = display_config["physical_dimensions"]["height"]
phys_unit_type = display_config["physical_dimensions"]["unit_type"]
# add pixels_per_degree to runtime info
ppd_x = deg2pix(
1.0, self._psychopy_monitor
) # math.tan(math.radians(0.5))*2.0*viewing_distance*pixel_width/phys_width
ppd_y = deg2pix(
1.0, self._psychopy_monitor
) # math.tan(math.radians(0.5))*2.0*viewing_distance*pixel_height/phys_height
runtime_info["pixels_per_degree"] = ppd_x, ppd_y
self._calculateCoordMappingFunctions(pixel_width, pixel_height, phys_unit_type, phys_width, phys_height)
left, top, right, bottom = runtime_info["bounds"]
coord_left, coord_top = self._pixel2DisplayCoord(left, top, self.device_number)
coord_right, coord_bottom = self._pixel2DisplayCoord(right, bottom, self.device_number)
runtime_info["coordinate_bounds"] = coord_left, coord_top, coord_right, coord_bottom
def drawIA(self, x, y, size, index, color, name):
"""
Draws square interest area in EDF and a corresponding filled box on
eye-tracker display.
:param x: X coordinate in degrees visual angle for center of check area.
:type x: float or int
:param y: Y coordinate in degrees visual angle for center of check area.
:type y: float or int
:param size: length of one edge of square in degrees visual angle.
:type size: float or int
:param index: number to assign interest area in EDF
:type index: int
:param color: color of box drawn on eye-tracker display (0 - 15)
:type color: int
:param name: Name interest area in EDF
:type name: str
"""
# Convert units to eyelink space
elx = deg2pix(x, self.win.monitor) + (self.sres[0] / 2.0)
ely = -(deg2pix(y, self.win.monitor) - (self.sres[1] / 2.0))
elsz = deg2pix(size, self.win.monitor) / 2.0
# Make top left / bottom right coordinates for square
tplf = map(round, [elx - elsz, ely - elsz])
btrh = map(round, [elx + elsz, ely + elsz])
# Construct command strings
flist = [index, name, color] + tplf + btrh
iamsg = '!V IAREA RECTANGLE {0} {3} {4} {5} {6} {1}'.format(*flist)
bxmsg = 'draw_filled_box {3} {4} {5} {6} {2}'.format(*flist)
# Send commands
self.tracker.sendMessage(iamsg)
self.tracker.sendCommand(bxmsg)
def __init__(self, win, balloonID, color, maxPumps, gainpoints, initsize, gainsize, mon):
self.win = win
self.balloonID = balloonID
self.color = color
self.maxPumps = maxPumps
self.points = gainsize
self.initSize = initsize # units 'deg'
self.initSizeX = 3.5
self.initSizeY = 5
self.gainSize = gainsize # units 'deg'
self.mon = mon
self.pump = visual.ImageStim(win, image="assets/pump.png", pos=[0, 0], size=[10, 10])
self.explosionSound = sound.Sound(value='assets\explode.wav')
self.explosionSound.setVolume(1.0)
self.pumpSound = sound.Sound(value='assets\pump4.wav')
self.pumpSound.setVolume(1.0)
self.pump.pos = [0, pix2deg(-690 + (deg2pix(self.pump.size[1], mon) / 2), mon)]
self.stimuli = visual.ImageStim(win, image="assets/bal_blue.png", pos=[0,pix2deg(-400+(deg2pix(self.initSizeY,mon)/2),mon)],size=[self.initSizeX,self.initSizeY])
def draw_ia(self, x, y, size, index, color, name):
"""
Draws square interest area in EDF and a corresponding filled box on
eye-tracker display. Must be called after :py:func:`set_trialid` for
interest areas to appear in the EDF.
:param x: X coordinate in degrees visual angle for center of check area.
:type x: float or int
:param y: Y coordinate in degrees visual angle for center of check area.
:type y: float or int
:param size: length of one edge of square in degrees visual angle.
:type size: float or int
:param index: number to assign interest area in EDF
:type index: int
:param color: color of box drawn on eye-tracker display (0 - 15)
:type color: int
:param name: Name of interest area in EDF
:type name: str
"""
# Convert units to eyelink space
elx, ely = self.convert_coords(x, y)
elsz = deg2pix(size, self.win.monitor) / 2.0
# Make top left / bottom right coordinates for square
tplf = map(round, [elx - elsz, ely - elsz])
btrh = map(round, [elx + elsz, ely + elsz])
# Construct command strings
flist = [index, name, color] + tplf + btrh
iamsg = '!V IAREA RECTANGLE {0} {3} {4} {5} {6} {1}'.format(*flist)
bxmsg = 'draw_filled_box {3} {4} {5} {6} {2}'.format(*flist)
# Send commands
self.tracker.sendMessage(iamsg)
self.tracker.sendCommand(bxmsg)
def _calcXYsRendered(self):
if self.units in ['norm','pix','height']: self._XYsRendered=self.xys
elif self.units in ['deg', 'degs']: self._XYsRendered=deg2pix(self.xys, self.win.monitor)
elif self.units=='cm': self._XYsRendered=cm2pix(self.xys, self.win.monitor)
def degcoord2pix(self, degx, degy, display_index=None):
if display_index == self.getIndex():
return psychopy2displayPix(
deg2pix(degx, self._psychopy_monitor), cm2pix(degy, self._psychopy_monitor)
)
return degx, degy
def fix_check_locs(self, xcenters, ycenters, size, ftime, button):
"""
Like fix_check, check but checks multiple boxes, returns the fixated box
number.
Checks that fixation is maintained for 'ftime'.
:param size: Length of one side of box in degrees visual angle.
:type size: float or int
:param ftime: Length of time to check for fixation in seconds.
:type ftime: float
:param button: Key to press to recalibrate eye-tracker.
:type button: char
"""
# Calculate Fix check borders
size = deg2pix(size, self.win.monitor) / 2.0
mBoundaries = _np.zeros((len(xcenters), 4))
for i, (x, y) in enumerate(zip(xcenters, ycenters)):
mBoundaries[i, :] = [x - size, x + size] + [y - size, y + size]
# Set status message & Draw box
self.set_status('Fixation Check')
bxmsg = 'draw_box {} {} {} {} 1'.format(xbdr[0], ybdr[0], xbdr[1],
ybdr[1])
self.tracker.sendCommand(bxmsg)
# Begin recording
self.tracker.startRecording(0, 0, 1, 1)
# Begin polling
fixtime = time.clock()
while self.realconnect: # only start check loop if real connection
# Check for recalibration button
keys = event.getKeys(button)
if keys:
self.tracker.stopRecording()
self.calibrate()
break
gaze = self.get_gaze()
# what a box?
box, inBox = 0, False
for x0, x1, y0, y1 in mBoundaries:
if x0 < gaze[0] < x1 and y0 < gaze[1] < y1:
inBox = True
box += 1
break
# long enough?
if inBox:
if (time.clock() - fixtime) > ftime:
self.tracker.stopRecording()
break
else:
# Reset clock if not in box
fixtime = time.clock()
return box
def doCalibration(self, calibrationPoints=[(0.5, 0.5), (0.1, 0.9),
(0.1, 0.1), (0.9, 0.9),
(0.9, 0.1)],
calinRadius=2.0, caloutRadius=None, moveFrames=60):
if self.eyetracker is None:
return
# set default
if caloutRadius is None:
caloutRadius = calinRadius * 20.0
if calibrationPoints is None:
calibrationPoints = [(0.5, 0.5), (0.1, 0.9),
(0.1, 0.1), (0.9, 0.9), (0.9, 0.1)]
self.points = np.random.permutation(calibrationPoints)
# Make the "outer" circle
self.calout = psychopy.visual.Circle(self.win, radius=caloutRadius,
lineColor=(0, 1.0, 0),
fillColor=(0.5, 1.0, 0.5),
units='pix', autoDraw=True,
pos=self.acsd2pix(self.points[-1]))
# Make a dummy message
self.calmsg = psychopy.visual.TextStim(self.win, color=0.0,
units='norm', height=0.07,
pos=(0.0, -0.5))
# Put the eye tracker into the calibration state
self.initcalibration_completed = False
print "Start new calibration..."
self.eyetracker.StartCalibration(callback=self.on_calib_start)
while not self.initcalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
self.deletecalibration_completed = False
# Clear out previous calibrations (tobii scanners
# sometimes store these across many sessions)
print "Delete old calibration..."
self.eyetracker.ClearCalibration(callback=self.on_calib_deleted)
while not self.deletecalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
# Draw instructions and wait for space key
self.calmsg.text = ("Please focus your eyes on the green dot, and "
"follow it with your eyes when it moves. This "
"will help us calibrate the eye tracker.\n"
"Press space when you're ready.")
self.calmsg.draw()
self.win.flip()
psychopy.event.waitKeys(keyList=['space'])
# Go through the calibration points
for self.point_index in range(len(self.points)):
# The dot starts at the previous point
self.calout.pos = \
self.acsd2pix((self.points[self.point_index - 1][0],
self.points[self.point_index - 1][1]))
# The steps for the movement is new - old divided by frames
self.step = (self.acsd2pix((self.points[self.point_index][0],
self.points[self.point_index][1])) -
self.calout.pos) / moveFrames
# Create a tobii 2D class
p = Point2D()
# Add the X and Y coordinates to the tobii point
p.x, p.y = self.points[self.point_index]
# Move the point in position (smooth pursuit)
for frame in range(moveFrames):
self.calout.pos += self.step
# draw & flip
self.win.flip()
# Shrink the outer point (gaze fixation)
for frame in range(moveFrames / 2):
self.calout.radius -= (caloutRadius -
calinRadius) / (moveFrames / 2)
self.win.flip()
# Add this point to the tobii
psychopy.core.wait(1) # first wait to let the eyes settle (MIN 0.5)
self.add_point_completed = False # this gets updated by callback
self.eyetracker.AddCalibrationPoint(p,
callback=self.on_add_completed)
# While this point is being added, do nothing:
while not self.add_point_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
psychopy.core.wait(0.5) # wait before continuing
# Reset the radius of the large circle
self.calout.radius = caloutRadius
# After calibration, make sure the stimuli aren't drawn
self.calout.autoDraw = False
self.calout = None
# The following two will be set by the tobii SDK
self.computeCalibration_completed = False
self.computeCalibration_succeeded = False
# Do the computation
self.eyetracker.ComputeCalibration(self.on_calib_compute)
while not self.computeCalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
self.eyetracker.StopCalibration(None)
self.win.flip()
# Now we retrieve the calibration data
self.getcalibration_completed = False
self.calib = self.eyetracker.GetCalibration(self.on_calib_response)
while not self.getcalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
if not self.computeCalibration_succeeded:
# computeCalibration failed.
self.calmsg.text = ("Not enough data was collected "
"(Retry:[r] Abort:[ESC])")
elif self.calib is None:
# no calibration data
self.calmsg.text = ("No calibration data "
"(Retry:[r] Abort:[ESC])")
else:
# calibration seems to have worked out
points = {}
for data in self.calib.plot_data:
points[data.true_point] = {'left': data.left,
'right': data.right}
if len(points) == 0:
# no points in the calibration results
self.calmsg.text = ("No calibration data "
"(Retry:[r] Abort:[ESC])")
else:
# draw the calibration result
for p, d in points.iteritems():
psychopy.visual.Circle(self.win, radius=calinRadius,
fillColor=(1, 1, 1),
units='pix',
pos=(p.x - 0.5, 0.5 - p.y)).draw()
if d['left'].status == 1:
psychopy.visual.Line(self.win, units='pix',
lineColor='yellow',
start=(self.acsd2pix((p.x, p.y))),
end=(self.acsd2pix((d['left'].
map_point.x,
d['left'].
map_point.y)))
).draw()
if d['right'].status == 1:
psychopy.visual.Line(self.win, units='pix',
lineColor='blue',
start=(self.acsd2pix((p.x, p.y))),
end=(self.acsd2pix((d['right'].
map_point.x,
d['right'].
map_point.y)))
).draw()
for p in self.points:
psychopy.visual.Circle(self.win, radius=calinRadius,
fillColor=1,
units='pix',
pos=self.acsd2pix(p),
).draw()
psychopy.visual.Circle(self.win, units='pix',
lineColor=-0.5,
radius=deg2pix(0.9,
self.win.monitor),
pos=self.acsd2pix(p),
).draw()
self.calmsg.text = ("Accept calibration results\n"
"(Accept:[a] Retry:[r] Abort:[ESC])")
# Update the screen, then wait for response
self.calmsg.draw()
self.win.flip()
self.response = psychopy.event.waitKeys(keyList=['a', 'r', 'escape'])
if 'a' in self.response:
retval = 'accept'
elif 'r' in self.response:
retval = 'retry'
elif 'escape' in self.response:
retval = 'abort'
return retval
def _calcPosRendered(self):
"""DEPRECATED in 1.80.00. This funtionality is now handled by _updateVertices() and verticesPix"""
#raise DeprecationWarning, "_calcSizeRendered() was deprecated in 1.80.00. This funtionality is now handled by _updateVertices() and verticesPix"
if self.units in ['norm','pix', 'height']: self._posRendered= copy.copy(self.pos)
elif self.units in ['deg', 'degs']: self._posRendered=deg2pix(self.pos, self.win.monitor)
elif self.units=='cm': self._posRendered=cm2pix(self.pos, self.win.monitor)
mon.setWidth(52.71) # cm
myWin = visual.Window([1000, 1000],
units='deg',
monitor=mon,
color=(-1, -1, -1),
checkTiming=True)
fps = myWin.getActualFrameRate() # sometimes this call fails...
event.globalKeys.clear()
event.globalKeys.add(key='q', func=core.quit) # global quit
globalClock = clock.Clock()
kb = keyboard.Keyboard() # create kb object
# let's do some calculation before going further
speedFrame = speedDeg / fps # how many deg/frame
speedPixFrame = monitorunittools.deg2pix(speedFrame, mon)
dotSizePix = monitorunittools.deg2pix(
dotSize, mon) # calculate dotSizePix for DotStim object
nDots = round(np.pi * fieldRadius**2 * dotDensity) # calcuate nDots
maxFrames = int(round(maxDur / myWin.monitorFramePeriod))
# define trial handler
stimList = []
for t in dirRange:
for d in stimDir:
stimList.append({'dirRange': t, 'direction': d})
trials = data.TrialHandler(trialList=stimList, nReps=nTrialsPerCond)
# ====== define stimulus components =======
# define fixation
fixation = circle.Circle(win=myWin,
def _calcDotsXYRendered(self):
if self.units in ['norm','pix', 'height']: self._dotsXYRendered=self._dotsXY
elif self.units in ['deg','degs']: self._dotsXYRendered=deg2pix(self._dotsXY, self.win.monitor)
elif self.units=='cm': self._dotsXYRendered=cm2pix(self._dotsXY, self.win.monitor)
def fixCheck(self, size, ftime, button):
'''Checks that fixation is maintained for certain time.
Parameters
size -- length of one side of box in degrees visual angle
ftime -- length of time to check for fixation in seconds
button -- key to press to recalibrate eye-tracker
'''
# Calculate Fix check borders
cenX = self.sres[0] / 2.0
cenY = self.sres[1] / 2.0
size = deg2pix(size, self.win.monitor) / 2.0
xbdr = [cenX - size, cenX + size]
ybdr = [cenY - size, cenY + size]
# Set status message & Draw box
self.setStatus('Fixation Check')
bxmsg = 'draw_box {} {} {} {} 1'.format(xbdr[0], ybdr[0], xbdr[1],
ybdr[1])
self.tracker.sendCommand(bxmsg)
# Begin recording
self.tracker.startRecording(0, 0, 1, 1)
# Check which eye is being recorded
eye_used = self.tracker.eyeAvailable()
RIGHT_EYE = 1
LEFT_EYE = 0
# Begin polling
keys = []
fixtime = time.clock()
while self.realconnect: # only start check loop if real connection
# Check for recalibration button
keys = event.getKeys(button)
if keys:
self.tracker.stopRecording()
self.calibrate()
break
# Grab latest sample
sample = self.tracker.getNewestSample()
# Extract gaze coordinates
if eye_used == RIGHT_EYE:
gaze = sample.getRightEye().getGaze()
else:
gaze = sample.getLeftEye().getGaze()
# Are we in the box?
if xbdr[0] < gaze[0] < xbdr[1] and ybdr[0] < gaze[1] < ybdr[1]:
# Have we been in the box long enough?
if (time.clock() - fixtime) > ftime:
self.tracker.stopRecording()
break
else:
# Reset clock if not in box
fixtime = time.clock()
def updateBalloonPos(self):
return [0, pix2deg(-400 + (deg2pix(self.stimuli.size[1], self.mon) / 2), self.mon)]
def fixCheck(self, size, ftime, button):
"""
Checks that fixation is maintained for certain time.
:param size: Length of one side of box in degrees visual angle.
:type size: float or int
:param ftime: Length of time to check for fixation in seconds.
:type ftime: int
:param button: Key to press to recalibrate eye-tracker.
:type button: char
"""
# Calculate Fix check borders
cenX = self.sres[0] / 2.0
cenY = self.sres[1] / 2.0
size = deg2pix(size, self.win.monitor) / 2.0
xbdr = [cenX - size, cenX + size]
ybdr = [cenY - size, cenY + size]
# Set status message & Draw box
self.setStatus('Fixation Check')
bxmsg = 'draw_box {} {} {} {} 1'.format(xbdr[0], ybdr[0], xbdr[1],
ybdr[1])
self.tracker.sendCommand(bxmsg)
# Begin recording
self.tracker.startRecording(0, 0, 1, 1)
# Check which eye is being recorded
eye_used = self.tracker.eyeAvailable()
RIGHT_EYE = 1
LEFT_EYE = 0
# Begin polling
keys = []
fixtime = time.clock()
while self.realconnect: # only start check loop if real connection
# Check for recalibration button
keys = event.getKeys(button)
if keys:
self.tracker.stopRecording()
self.calibrate()
break
# Grab latest sample
sample = self.tracker.getNewestSample()
# Extract gaze coordinates
if eye_used == RIGHT_EYE:
gaze = sample.getRightEye().getGaze()
else:
gaze = sample.getLeftEye().getGaze()
# Are we in the box?
if xbdr[0] < gaze[0] < xbdr[1] and ybdr[0] < gaze[1] < ybdr[1]:
# Have we been in the box long enough?
if (time.clock() - fixtime) > ftime:
self.tracker.stopRecording()
break
else:
# Reset clock if not in box
fixtime = time.clock()
def __init__(self,
win,
text="Hello World",
font="",
pos=(0.0, 0.0),
depth=0,
rgb=None,
color=(1.0, 1.0, 1.0),
colorSpace='rgb',
opacity=1.0,
contrast=1.0,
units="",
ori=0.0,
height=None,
antialias=True,
bold=False,
italic=False,
alignHoriz='center',
alignVert='center',
fontFiles=[],
wrapWidth=None,
flipHoriz=False,
flipVert=False,
name='',
autoLog=True):
"""
:Parameters:
win: A :class:`Window` object.
Required - the stimulus must know where to draw itself
text:
The text to be rendered
height:
Height of the characters (including the ascent of the letter and the descent)
antialias:
boolean to allow (or not) antialiasing the text
bold:
Make the text bold (better to use a bold font name)
italic:
Make the text italic (better to use an actual italic font)
alignHoriz:
The horizontal alignment ('left', 'right' or 'center')
alignVert:
The vertical alignment ('top', 'bottom' or 'center')
fontFiles:
A list of additional files if the font is not in the standard system location (include the full path)
wrapWidth:
The width the text should run before wrapping
flipHoriz : boolean
Mirror-reverse the text in the left-right direction
flipVert : boolean
Mirror-reverse the text in the up-down direction
"""
#what local vars are defined (these are the init params) for use by __repr__
self._initParams = dir()
self._initParams.remove('self')
BaseVisualStim.__init__(self,
win,
units=units,
name=name,
autoLog=False)
self.useShaders = win._haveShaders #use shaders if available by default, this is a good thing
self._needUpdate = True
self.alignHoriz = alignHoriz
self.alignVert = alignVert
self.antialias = antialias
self.bold = bold
self.italic = italic
self.text = '' #NB just a placeholder - real value set below
self.depth = depth
self.ori = ori
self.wrapWidth = wrapWidth
self.flipHoriz = flipHoriz
self.flipVert = flipVert
self._pygletTextObj = None
self.pos = numpy.array(pos, float)
#height in pix (needs to be done after units which is done during _Base.__init__)
if self.units == 'cm':
if height == None: self.height = 1.0 #default text height
else: self.height = height
self.heightPix = cm2pix(self.height, win.monitor)
elif self.units in ['deg', 'degs']:
if height == None: self.height = 1.0
else: self.height = height
self.heightPix = deg2pix(self.height, win.monitor)
elif self.units == 'norm':
if height == None: self.height = 0.1
else: self.height = height
self.heightPix = self.height * win.size[1] / 2
elif self.units == 'height':
if height == None: self.height = 0.2
else: self.height = height
self.heightPix = self.height * win.size[1]
else: #treat units as pix
if height == None: self.height = 20
else: self.height = height
self.heightPix = self.height
if self.wrapWidth == None:
if self.units in ['height', 'norm']: self.wrapWidth = 1
elif self.units in ['deg', 'degs']: self.wrapWidth = 15
elif self.units == 'cm': self.wrapWidth = 15
elif self.units in ['pix', 'pixels']: self.wrapWidth = 500
if self.units == 'norm':
self._wrapWidthPix = self.wrapWidth * win.size[0] / 2
elif self.units == 'height':
self._wrapWidthPix = self.wrapWidth * win.size[0]
elif self.units in ['deg', 'degs']:
self._wrapWidthPix = deg2pix(self.wrapWidth, win.monitor)
elif self.units == 'cm':
self._wrapWidthPix = cm2pix(self.wrapWidth, win.monitor)
elif self.units in ['pix', 'pixels']:
self._wrapWidthPix = self.wrapWidth
#generate the texture and list holders
self._listID = GL.glGenLists(1)
if not self.win.winType == "pyglet": #pygame text needs a surface to render to
self._texID = GL.GLuint()
GL.glGenTextures(1, ctypes.byref(self._texID))
self.colorSpace = colorSpace
if rgb != None:
logging.warning(
"Use of rgb arguments to stimuli are deprecated. Please use color and colorSpace args instead"
)
self.setColor(rgb, colorSpace='rgb', log=False)
else:
self.setColor(color, log=False)
self._calcPosRendered()
for thisFont in fontFiles:
pyglet.font.add_file(thisFont)
self.setFont(font, log=False)
self.opacity = float(opacity)
self.contrast = float(contrast)
self.setText(
text, log=False
) #self.width and self.height get set with text and calcSizeRednered is called
self._needUpdate = True
#set autoLog (now that params have been initialised)
self.autoLog = autoLog
if autoLog:
logging.exp("Created %s = %s" % (self.name, str(self)))
def __init__(
self,
no_demographics = False,
task = 'test'):
if task=='main':
self.sub = self.solicit_subid()
demographics = self.solicit_demographics(no_demographics)
iohub_config = {
'experiment_code': 'color',
'datastore_name': node(),
'session_code': task,
'experiment_info': {
'version': str(git.repo.fun.rev_parse(git.Repo(), 'HEAD'))[0:6]},
'session_info': {
'user_variables': {
'date': datetime.now().strftime("%d-%m-%Y_%H-%M-%S"),
'sub': self.sub,
'sex': demographics[0],
'ethnicity': demographics[1],
'race': demographics[2],
'age': demographics[3]}}}
else:
iohub_config = {}
self.sub = 0
self.trialdf = self.__prep_df(os.path.join('stimuli','design.csv'))
self.io = iohub_config
# Inform the ioHub server about the TrialHandler
# randomization already done (hence 'sequential')
self.io.createTrialHandlerRecordTable(data.TrialHandler(
[x for x in (self.trialdf.T.to_dict()).values()],
nReps=1,
method='sequential'))
self.mon = monitors.Monitor("default", distance=60.96)
# create a window to draw in
self.win = visual.Window(
size=(1920, 1080),
fullscr=True,
allowGUI=False,
winType='pyglet',
blendMode='avg',
useFBO=True,
units="deg",
monitor=self.mon,
# gamma = [r.gamma, g.gamma, b.gamma],
color='black')
if task == 'main':
runinfo = RunTimeInfo(verbose=True, userProcsDetailed=True, win=self.win, refreshTest=True)
with open(os.path.join('data-raw', f'sub-{self.sub}_task-{task}_runinfo.pkl'), 'xb') as f:pickle.dump(runinfo, f)
self.fix = visual.Circle(win=self.win, radius=self.fix_radius, size=1, fillColor="white")
# cues for color
self.triangle = visual.Polygon(win=self.win, radius=self.radius, lineColor="gray", lineWidth=self.linewidth)
self.circle = visual.Circle(win=self.win, radius=self.radius, lineColor="gray", lineWidth=self.linewidth)
# cues for direction
self.line1 = visual.Line(win=self.win, lineWidth=self.linewidth, start=(-math.sqrt(3)/2, math.sqrt(3)/2),
end=(math.sqrt(3)/2, -math.sqrt(3)/2), lineColor="gray", size=self.radius)
self.line2 = visual.Line(win=self.win, lineWidth=self.linewidth, start=(-math.sqrt(3)/2, -math.sqrt(3)/2),
end=(math.sqrt(3)/2, math.sqrt(3)/2), lineColor="gray", size=self.radius)
self.fleur = visual.ShapeStim(win=self.win, size=self.radius, lineColor="gray", lineWidth=self.linewidth, vertices=self.__make_vertices())
self.dots = WrappedDot(
win=self.win,
units='deg',
fieldShape="circle",
dotSize=deg2pix(self.dotsize_deg, self.mon),
dotLife=-1,
coherence=self.dot_coherence,
nDots=self.ndots,
fieldSize=self.dotfield_diameter_deg,
speed=self.dot_speed_deg_per_sec / self.refresh_rate)
self.correct = TextStim(self.win, text = "CORRECT", color="green")
self.incorrect = TextStim(self.win, text = "INCORRECT", color="red")
self.welcome = TextStim(self.win, text=
'''
welcome to the experiment
Press "c" to continue
''',
wrapWidth=50,
alignText="left")
self.rest = TextStim(
self.win,
pos=(0, 6),
alignText="left",
wrapWidth=50)
self.waiter = clock.StaticPeriod(screenHz=self.refresh_rate)
## create files
filename = data_dir + os.sep + '%s_%s' % (expInfo['participant'],
expInfo['date'])
filename_short = data_dir + os.sep + expInfo['participant']
output = "subject_id,trial,coherence_trial,pressed_rdk,expected_rdk,rt_rdk, accuracy_rdk, dots_coord\n"
running_filename = filename_short + '_TEMP.txt'
## * Hardware
##def monitor
mon1 = monitors.Monitor('testMonitor')
mon1.setDistance(50) #cm
mon1.setWidth(30) #cm
mon1.setSizePix([800, 600])
mon1.saveMon()
ppd = int(deg2pix(1, mon1, correctFlat=False)) ## ppd for monitor= mon1
## keyboard
kb = keyboard.Keyboard() # initialize keyboards
## * Stimuli
#create a window to draw in
win = visual.Window(fullscr=False,
size=(800, 600),
monitor=mon1,
color=[0, 0, 0],
colorSpace='rgb255',
units='deg')
win.setMouseVisible(False) #hide the mouse cursor!!!
## Instructions
def __init__(self, params=None, reportobj=None, subroutines=[]):
logging.LogFile(params['cwd'] + os.sep + params['logfile'],
level=logging.INFO,
filemode='w')
logging.LogFile(level=logging.ERROR)
logging.info('Using Python ' + sys.version)
self.args = sys.argv
self.params = self.update_params(self.args, params)
self.win = None
self.model = None
self.routines = subroutines
self.thisExp = None
self.name = params['name']
self.cwd = params['cwd']
self.reportobj = reportobj
if params['monitor'] not in monitors.getAllMonitors():
logging.error('monitor not found: ' + params.monitor)
logging.info('available monitors: ' +
' '.join(monitors.getAllMonitors()))
logging.info('Define monitor in monitor center.')
logging.info('To launch monitor center, type:\n'
'python -m psychopy.monitors.MonitorCenter')
core.quit()
else:
self.monitor = monitors.Monitor(
'',
width=None,
distance=self.params['viewing_distance'],
gamma=None,
notes=None,
useBits=None,
verbose=True,
currentCalib=None,
autoLog=True)
self.monitor.setSizePix((1920, 1280))
self.monitor.setWidth(54.15)
logging.exp('using monitor: ' + self.params['monitor'] +
' with viewing_distance=' +
str(self.params['viewing_distance']) + ' cm\n' +
' resolution (pixel/deg): ' +
str(deg2pix(1, self.monitor)))
# TODO: change screen_pixel_size back to calculation from monitor
# TODO: change the monitor definition width so that screen_pixel_size=0.282
if 'screen_pixel_size' not in self.params['model']:
self.params['model']['screen_pixel_size'] = pix2cm(
1, self.monitor) * 10.0
#self.params['model']['screen_pixel_size'] = 0.282
self.params['model'][
'viewing_distance'] = self.params['viewing_distance'] / 2.54
self.expInfo = params['exp_info']
self.expInfo['date'] = data.getDateStr()
# Ensure that relative paths start from the same directory as this script
_thisDir = os.path.dirname(os.path.abspath(__file__))
os.chdir(_thisDir)
# Data file name stem = absolute path + name; later add .psyexp, .csv, .log, etc
runsubject = self.params['runsubject']
if runsubject:
self.filename = self.cwd + os.sep + u'data' + os.sep + '%s_%s_%s' % (
self.expInfo['participant'], params['name'],
self.expInfo['date'])
else:
self.filename = self.cwd + os.sep + u'data' + os.sep + 'model-' + params[
'expName']
def _calcPosRendered(self):
"""Calculate the pos of the stimulus in coords of the :class:`~psychopy.visual.Window` (normalised or pixels)"""
if self.units in ['pix', 'pixels', 'height', 'norm']: self._posRendered=self.pos
elif self.units in ['deg', 'degs']: self._posRendered=deg2pix(self.pos, self.win.monitor)
elif self.units=='cm': self._posRendered=cm2pix(self.pos, self.win.monitor)
def doCalibration(self,
calibrationPoints=[(0.5, 0.5), (0.1, 0.9), (0.1, 0.1),
(0.9, 0.9), (0.9, 0.1)],
calinRadius=2.0,
caloutRadius=None,
moveFrames=60):
if self.eyetracker is None:
return
# set default
if caloutRadius is None:
caloutRadius = calinRadius * 20.0
if calibrationPoints is None:
calibrationPoints = [(0.5, 0.5), (0.1, 0.9), (0.1, 0.1),
(0.9, 0.9), (0.9, 0.1)]
self.points = np.random.permutation(calibrationPoints)
# Make the "outer" circle
self.calout = psychopy.visual.Circle(self.win,
radius=caloutRadius,
lineColor=(0, 1.0, 0),
fillColor=(0.5, 1.0, 0.5),
units='pix',
autoDraw=True,
pos=self.acsd2pix(
self.points[-1]))
# Make a dummy message
self.calmsg = psychopy.visual.TextStim(self.win,
color=0.0,
units='norm',
height=0.07,
pos=(0.0, -0.5))
# Put the eye tracker into the calibration state
self.initcalibration_completed = False
print "Start new calibration..."
self.eyetracker.StartCalibration(callback=self.on_calib_start)
while not self.initcalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
self.deletecalibration_completed = False
# Clear out previous calibrations (tobii scanners
# sometimes store these across many sessions)
print "Delete old calibration..."
self.eyetracker.ClearCalibration(callback=self.on_calib_deleted)
while not self.deletecalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
# Draw instructions and wait for space key
self.calmsg.text = ("Please focus your eyes on the green dot, and "
"follow it with your eyes when it moves. This "
"will help us calibrate the eye tracker.\n"
"Press space when you're ready.")
self.calmsg.draw()
self.win.flip()
psychopy.event.waitKeys(keyList=['space'])
# Go through the calibration points
for self.point_index in range(len(self.points)):
# The dot starts at the previous point
self.calout.pos = \
self.acsd2pix((self.points[self.point_index - 1][0],
self.points[self.point_index - 1][1]))
# The steps for the movement is new - old divided by frames
self.step = (self.acsd2pix((self.points[self.point_index][0],
self.points[self.point_index][1])) -
self.calout.pos) / moveFrames
# Create a tobii 2D class
p = Point2D()
# Add the X and Y coordinates to the tobii point
p.x, p.y = self.points[self.point_index]
# Move the point in position (smooth pursuit)
for frame in range(moveFrames):
self.calout.pos += self.step
# draw & flip
self.win.flip()
# Shrink the outer point (gaze fixation)
for frame in range(moveFrames / 2):
self.calout.radius -= (caloutRadius -
calinRadius) / (moveFrames / 2)
self.win.flip()
# Add this point to the tobii
psychopy.core.wait(
1) # first wait to let the eyes settle (MIN 0.5)
self.add_point_completed = False # this gets updated by callback
self.eyetracker.AddCalibrationPoint(p,
callback=self.on_add_completed)
# While this point is being added, do nothing:
while not self.add_point_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
psychopy.core.wait(0.5) # wait before continuing
# Reset the radius of the large circle
self.calout.radius = caloutRadius
# After calibration, make sure the stimuli aren't drawn
self.calout.autoDraw = False
self.calout = None
# The following two will be set by the tobii SDK
self.computeCalibration_completed = False
self.computeCalibration_succeeded = False
# Do the computation
self.eyetracker.ComputeCalibration(self.on_calib_compute)
while not self.computeCalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
self.eyetracker.StopCalibration(None)
self.win.flip()
# Now we retrieve the calibration data
self.getcalibration_completed = False
self.calib = self.eyetracker.GetCalibration(self.on_calib_response)
while not self.getcalibration_completed:
psychopy.core.wait(0.1)
if psychopy.event.getKeys(keyList=['escape']):
raise KeyboardInterrupt("You interrupted the script.")
if not self.computeCalibration_succeeded:
# computeCalibration failed.
self.calmsg.text = ("Not enough data was collected "
"(Retry:[r] Abort:[ESC])")
elif self.calib is None:
# no calibration data
self.calmsg.text = ("No calibration data "
"(Retry:[r] Abort:[ESC])")
else:
# calibration seems to have worked out
points = {}
for data in self.calib.plot_data:
points[data.true_point] = {
'left': data.left,
'right': data.right
}
if len(points) == 0:
# no points in the calibration results
self.calmsg.text = ("No calibration data "
"(Retry:[r] Abort:[ESC])")
else:
# draw the calibration result
for p, d in points.iteritems():
psychopy.visual.Circle(self.win,
radius=calinRadius,
fillColor=(1, 1, 1),
units='pix',
pos=(p.x - 0.5, 0.5 - p.y)).draw()
if d['left'].status == 1:
psychopy.visual.Line(
self.win,
units='pix',
lineColor='yellow',
start=(self.acsd2pix((p.x, p.y))),
end=(self.acsd2pix(
(d['left'].map_point.x,
d['left'].map_point.y)))).draw()
if d['right'].status == 1:
psychopy.visual.Line(
self.win,
units='pix',
lineColor='blue',
start=(self.acsd2pix((p.x, p.y))),
end=(self.acsd2pix(
(d['right'].map_point.x,
d['right'].map_point.y)))).draw()
for p in self.points:
psychopy.visual.Circle(
self.win,
radius=calinRadius,
fillColor=1,
units='pix',
pos=self.acsd2pix(p),
).draw()
psychopy.visual.Circle(
self.win,
units='pix',
lineColor=-0.5,
radius=deg2pix(0.9, self.win.monitor),
pos=self.acsd2pix(p),
).draw()
self.calmsg.text = ("Accept calibration results\n"
"(Accept:[a] Retry:[r] Abort:[ESC])")
# Update the screen, then wait for response
self.calmsg.draw()
self.win.flip()
self.response = psychopy.event.waitKeys(keyList=['a', 'r', 'escape'])
if 'a' in self.response:
retval = 'accept'
elif 'r' in self.response:
retval = 'retry'
elif 'escape' in self.response:
retval = 'abort'
return retval
def run(self,
runmodel=None,
genstim=False,
trialparams={},
params={},
loopstate={}):
self.update_params(trialparams, loopstate)
resp = Response()
filename = ''
# If we have a window then either we are generating stimuli or
# running a human subject experiment
if self.win is not None:
for component in self.components:
if genstim:
filename = self.get_filename(trialparams, loopstate)
component.start(trialparams, loopstate)
else:
component.run(trialparams, loopstate)
left, top = params['model']['view_pos']
width, height = params['model']['view_size']
###################
#diff_x,diff_y = params['diff_size']
diff_x, diff_y = 1.0, 1.0 # TODO: remove all this diff_size code
width_window, height_window = self.win.size
center_left = int(deg2pix(left, self.win.monitor))
center_top = int(deg2pix(top, self.win.monitor))
upper_left = center_left - int(0.5 * width)
upper_top = center_top + int(0.5 * height)
if width % 2 == 0: # width is even number of pixels
lower_right = upper_left + width
lower_bottom = upper_top - height
else:
lower_right = upper_left + (width + 1)
lower_bottom = upper_top - (height + 1)
# convert to normalized coords
upper_left_norm = upper_left / (0.5 * width_window)
upper_top_norm = upper_top / (0.5 * height_window)
lower_right_norm = lower_right / (0.5 * width_window)
lower_bottom_norm = lower_bottom / (0.5 * height_window)
rect = [
upper_left_norm, upper_top_norm, lower_right_norm * diff_x,
lower_bottom_norm * diff_y
]
extra = 2 # extra space to draw lines around rect
if not self.viewport:
self.viewport = visual.Rect(win=self.win,
width=width + extra,
height=height + extra,
autoLog=None,
units='pixels',
lineWidth=1,
lineColor='yellow',
lineColorSpace='rgb',
fillColor=None,
fillColorSpace='rgb',
pos=(center_left, center_top),
ori=0.0,
opacity=0.5,
contrast=0.8,
depth=1000,
interpolate=False,
name=None,
autoDraw=True)
else:
self.viewport.setPos((center_left, center_top))
self.win.flip()
if genstim:
model_stimulus = self.win._getFrame(rect=None, buffer='front')
model_stimulus = np.array(model_stimulus)
center_height = int(height_window / 2) + center_top
center_width = int(width_window / 2) + center_left
top_height = int(center_height - height / 2)
bottom_height = int(center_height + height / 2)
top_width = int(center_width - width / 2)
bottom_width = int(center_width + width / 2)
model_stimulus = model_stimulus[top_height:bottom_height,
top_width:bottom_width, :]
model_stimulus = Image.fromarray(model_stimulus)
if np.shape(model_stimulus)[1] != width or np.shape(
model_stimulus)[0] != height:
print(np.shape(model_stimulus))
import pdb
pdb.set_trace()
# TODO: Make it so this exception gets caught
logging.error('problem with model window')
raise Exception(
'Error in calculating shape of model window.')
if 'model' in os.path.join(params['cwd'],
'stimuli' + os.sep + filename):
import pdb
pdb.set_trace()
logging.info('saving: ' + filename)
model_stimulus.save(
os.path.join(params['cwd'], 'stimuli' + os.sep + filename),
"PNG")
keys = []
else:
keys = event.waitKeys(maxWait=self.timeout, keyList=None)
resp = Response(key=keys[0])
for component in self.components:
component.end()
else:
filename = self.get_filename(trialparams, loopstate)
# if we don't have a target_contrast in the parameters
# then we need to load an image and get its target_contrast
if 'target_contrast' not in params['model']:
target_key, target_val = params['target_identifier']
target_condition = Params(trialparams)
target_condition.update({target_key: target_val})
target_filename = self.get_filename(target_condition,
loopstate)
# load stim from filename
im = Image.open(
os.path.join(params['cwd'], 'stimuli' + os.sep +
target_filename)).convert('L')
im_array = np.frombuffer(im.tobytes(), dtype=np.uint8)
width, height = im.size
im_array = im_array.reshape((height, width))
contrast = runmodel.process(data=im_array)
runmodel.target_contrast = contrast
logging.exp('Generating target_contrast from ' +
target_filename)
logging.exp('Using target_contrast = ' + str(contrast))
params['model']['target_contrast'] = contrast
runmodel.update_decision_params()
params['model']['decision_K'] = runmodel.decision_K
params['model']['decision_sigma'] = runmodel.decision_sigma
logging.exp('***Using decision_K = ' +
str(runmodel.decision_K))
logging.exp('***Using decision_sigma = ' +
str(runmodel.decision_sigma))
# load stim from filename define StimulusNotFound and raise it
im = Image.open(
os.path.join(params['cwd'],
'stimuli' + os.sep + filename)).convert('L')
im_array = np.frombuffer(im.tobytes(), dtype=np.uint8)
width, height = im.size
im_array = im_array.reshape((height, width))
print('processing:', filename)
save_conv_filename = None
if params['saveimages']:
#save_conv_filename = 'images/'+filename[:-4]+'-convolved.png'
save_conv_filename = filename[:-4]
correct_answer, incorrect_answer = self.get_answer(
trialparams, loopstate)
# if we are saving additional plots we also want to pass the
# corresponding target data to the runmodel.runsponse
im_array_target = None
if save_conv_filename:
target_key, target_val = params['target_identifier']
target_condition = Params(trialparams)
target_condition.update({target_key: target_val})
target_filename = self.get_filename(target_condition,
loopstate)
# load stim from filename
im_target = Image.open(
os.path.join(params['cwd'], 'stimuli' + os.sep +
target_filename)).convert('L')
im_array_target = np.frombuffer(im_target.tobytes(),
dtype=np.uint8)
width_target, height_target = im_target.size
im_array_target = im_array_target.reshape(
(height_target, width_target))
# TODO: if we are generating all the plots then read the target data
# from the file using the 'target_identifier' from params
# then pass into runmodel.response
key, prob, contrast = runmodel.response(
data=im_array,
correct_answer=correct_answer,
incorrect_answer=incorrect_answer,
save_conv_filename=save_conv_filename,
target_data=im_array_target)
correct = False
if key == correct_answer:
correct = True
resp = Response(key=key,
rt=0,
correct=correct,
prob=prob,
contrast=contrast)
#keys = ['left']
if resp.key == 'escape':
core.quit()
return resp
def __init__(self, win,
text="Hello World",
font="",
pos=(0.0,0.0),
depth=0,
rgb=None,
color=(1.0,1.0,1.0),
colorSpace='rgb',
opacity=1.0,
contrast=1.0,
units="",
ori=0.0,
height=None,
antialias=True,
bold=False,
italic=False,
alignHoriz='center',
alignVert='center',
fontFiles=[],
wrapWidth=None,
flipHoriz=False, flipVert=False,
name='', autoLog=True):
"""
:Parameters:
win: A :class:`Window` object.
Required - the stimulus must know where to draw itself
text:
The text to be rendered
height:
Height of the characters (including the ascent of the letter and the descent)
antialias:
boolean to allow (or not) antialiasing the text
bold:
Make the text bold (better to use a bold font name)
italic:
Make the text italic (better to use an actual italic font)
alignHoriz:
The horizontal alignment ('left', 'right' or 'center')
alignVert:
The vertical alignment ('top', 'bottom' or 'center')
fontFiles:
A list of additional files if the font is not in the standard system location (include the full path)
wrapWidth:
The width the text should run before wrapping
flipHoriz : boolean
Mirror-reverse the text in the left-right direction
flipVert : boolean
Mirror-reverse the text in the up-down direction
"""
BaseVisualStim.__init__(self, win, units=units, name=name, autoLog=autoLog)
self.useShaders = win._haveShaders #use shaders if available by default, this is a good thing
self._needUpdate = True
self.alignHoriz = alignHoriz
self.alignVert = alignVert
self.antialias = antialias
self.bold=bold
self.italic=italic
self.text='' #NB just a placeholder - real value set below
self.depth=depth
self.ori=ori
self.wrapWidth=wrapWidth
self.flipHoriz = flipHoriz
self.flipVert = flipVert
self._pygletTextObj=None
self.pos= numpy.array(pos, float)
#height in pix (needs to be done after units which is done during _Base.__init__)
if self.units=='cm':
if height==None: self.height = 1.0#default text height
else: self.height = height
self.heightPix = cm2pix(self.height, win.monitor)
elif self.units in ['deg', 'degs']:
if height==None: self.height = 1.0
else: self.height = height
self.heightPix = deg2pix(self.height, win.monitor)
elif self.units=='norm':
if height==None: self.height = 0.1
else: self.height = height
self.heightPix = self.height*win.size[1]/2
elif self.units=='height':
if height==None: self.height = 0.2
else: self.height = height
self.heightPix = self.height*win.size[1]
else: #treat units as pix
if height==None: self.height = 20
else: self.height = height
self.heightPix = self.height
if self.wrapWidth ==None:
if self.units in ['height','norm']: self.wrapWidth=1
elif self.units in ['deg', 'degs']: self.wrapWidth=15
elif self.units=='cm': self.wrapWidth=15
elif self.units in ['pix', 'pixels']: self.wrapWidth=500
if self.units=='norm': self._wrapWidthPix= self.wrapWidth*win.size[0]/2
elif self.units=='height': self._wrapWidthPix= self.wrapWidth*win.size[0]
elif self.units in ['deg', 'degs']: self._wrapWidthPix= deg2pix(self.wrapWidth, win.monitor)
elif self.units=='cm': self._wrapWidthPix= cm2pix(self.wrapWidth, win.monitor)
elif self.units in ['pix', 'pixels']: self._wrapWidthPix=self.wrapWidth
#generate the texture and list holders
self._listID = GL.glGenLists(1)
if not self.win.winType=="pyglet":#pygame text needs a surface to render to
self._texID = GL.GLuint()
GL.glGenTextures(1, ctypes.byref(self._texID))
self.colorSpace=colorSpace
if rgb!=None:
logging.warning("Use of rgb arguments to stimuli are deprecated. Please use color and colorSpace args instead")
self.setColor(rgb, colorSpace='rgb', log=False)
else:
self.setColor(color, log=False)
self._calcPosRendered()
for thisFont in fontFiles:
pyglet.font.add_file(thisFont)
self.setFont(font, log=False)
self.opacity = float(opacity)
self.contrast = float(contrast)
self.setText(text, log=False) #self.width and self.height get set with text and calcSizeRednered is called
self._needUpdate = True
