Exemplo n.º 1
0
 def make_stimuli(self):
     size = self.viewport.get_size()
     width = max(size)
     self.grating1 = SinGrating2D(
         anchor='center',
         position=(size[0] / 2, size[1] / 2),
         size=(width, width),
         pedestal=self.parameters.ml[0],
         orientation=self.parameters.ori[0],
         spatial_freq=self.viewport.cycDeg2cycPix(
             self.parameters.sfreqCycDeg[0]),
         temporal_freq_hz=self.parameters.tfreqCycSec[0],
         max_alpha=0.5,
         ignore_time=True,
         on=True)
     self.grating2 = SinGrating2D(
         anchor='center',
         position=(size[0] / 2, size[1] / 2),
         size=(width, width),
         pedestal=self.parameters.ml[1],
         orientation=self.parameters.ori[1],
         spatial_freq=self.viewport.cycDeg2cycPix(
             self.parameters.sfreqCycDeg[1]),
         temporal_freq_hz=self.parameters.tfreqCycSec[1],
         max_alpha=0.5,
         ignore_time=True,
         on=True)
     self.stimuli = (self.grating1, self.grating2)
Exemplo n.º 2
0
    def make_stimuli(self):
        size = self.viewport.get_size()
        self.background = Target2D(position=(size[0]/2, size[1]/2),
                                   anchor='center',
                                   size=size,
                                   on=True)

        self.bgp = self.background.parameters
        #set background color before real sweep
        bgb = self.parameters.bgbrightness
        self.bgp.color = bgb, bgb, bgb, 1.0
        
        nsinsamples = 1024
        self.grating = SinGrating2D(anchor='center',
                                    pedestal=self.parameters.ml,
                                    contrast=self.parameters.contrast,
                                    ignore_time=True,
                                    num_samples=nsinsamples,
                                    max_alpha=1.0,
                                    on=False)
        self.gp = self.grating.parameters
        
        nmasksamples = 1024
        radius = self.viewport.deg2pix(self.parameters.maskDiameterDeg) / 2.0
        self.gp.size = [radius * 2] * 2
        samplesperpix = nmasksamples / self.gp.size[0]
        self.grating_mask = Mask2D(function=self.parameters.mask,
                                   radius_parameter=radius*samplesperpix,
                                   num_samples=(nmasksamples,nmasksamples))
        self.gp.mask = self.grating_mask
        self.gmp = self.grating_mask.parameters
        self.stimuli = (self.background, self.grating)
Exemplo n.º 3
0
 def make_stimuli(self):
     super(ManGrating, self).make_stimuli()
     nsinsamples = 512
     self.grating = SinGrating2D(anchor='center',
                                 pedestal=self.parameters.ml,
                                 ignore_time=True,
                                 num_samples=nsinsamples,
                                 max_alpha=1.0,
                                 on=False) # opaque
     self.gp = self.grating.parameters
     self.nmasksamples = 256
     self.grating_mask = Mask2D(function='circle', num_samples=(self.nmasksamples, self.nmasksamples)) # size of mask texture data (# of texels)
     self.gmp = self.grating_mask.parameters
     if self.parameters.mask:
         self.mask_on = True
     else:
         self.mask_on = False
     self.fixationspot = FixationSpot(anchor='center',
                                              color=(1.0, 0.0, 0.0, 0.0),
                                              size=(5, 5),
                                              on=False)
     self.fp = self.fixationspot.parameters
     self.centerspot = FixationSpot(anchor='center',
                                              color=(0.0, 1.0, 0.0, 0.0),
                                              size=(3, 3),
                                              on=False)
     self.cp = self.centerspot.parameters
     self.complete_stimuli = (self.background, self.grating, self.fixationspot, self.centerspot) + self.info
     self.essential_stimuli = (self.background, self.grating)
Exemplo n.º 4
0
from VisionEgg.Gratings import SinGrating2D
from VisionEgg.Text import Text
import pygame
import numpy as np

if not hasattr(pygame.display, "set_gamma_ramp"):
    raise RuntimeError(
        "Need pygame 1.5 or greater for set_gamma_ramp function.")

# Initialize OpenGL graphics screen.
screen = get_default_screen()

center_x = screen.size[0] / 2.0

# Create the instance SinGrating with appropriate parameters
stimulus = SinGrating2D()
text2 = Text(text="set_gamma_ramp(r,g,b):",
             position=(center_x, 0),
             anchor="bottom")
text1 = Text(text="Press - to decrease luminance range, + to increase.",
             position=(center_x, text2.parameters.size[1] + 5),
             anchor="bottom")

# Use viewport with pixel coordinate system for projection
viewport = Viewport(screen=screen, stimuli=[stimulus, text1, text2])


def quit(event):
    global p  # get presentation instance
    p.parameters.quit = 1
Exemplo n.º 5
0
import Pyro
Pyro.config.PYRO_MOBILE_CODE = True
Pyro.config.PYRO_TRACELEVEL = 3
Pyro.config.PYRO_PICKLE_FORMAT = 1

from VisionEgg.PyroClient import PyroClient

from VisionEgg.Gratings import SinGrating2D
from VisionEgg.MoreStimuli import Target2D
from StimControl.LightStim.Core import DefaultScreen

dummy_screen = DefaultScreen(['control'])

grating = SinGrating2D()
target = Target2D()

client = PyroClient(server_hostname='localhost')
#quit_controller = client.get('quit_controller')
#time.sleep(5.0) # show for 5 seconds
#
#quit_controller.set_between_go_value(1)
#quit_controller.evaluate_now()
stimulus_pool = client.get('stimulus_pool')
stimulus_pool.add_stimulus(target)
stimulus_pool.add_stimulus(grating)
Exemplo n.º 6
0
        gl.glLoadIdentity()  # Clear the modelview matrix
        gl.glTranslate(viewport_with, 0, 0)
        gl.glRotate(180, 0, 1, 0)
        matrix = gl.glGetFloatv(gl.GL_MODELVIEW_MATRIX)
        gl.glPopMatrix()
        if matrix is None:
            # OpenGL wasn't started
            raise RuntimeError(
                "OpenGL matrix operations can only take place once OpenGL context started."
            )
        matrix = np.asarray(matrix)  # make sure it's numpy array
        VisionEgg.Core.ModelView.__init__(self, **{'matrix': matrix})


# Normal stuff (from grating demo):
screen = VisionEgg.Core.get_default_screen()
grating = SinGrating2D(
    position=(screen.size[0] / 2.0, screen.size[1] / 2.0),
    anchor='center',
    size=(400.0, 300.0),
    spatial_freq=10.0 / screen.size[0],  # units of cycles/pixel
    temporal_freq_hz=5.0,
    orientation=45.0)

viewport = Viewport(screen=screen, stimuli=[grating])
viewport.parameters.camera_matrix = HorizontalMirrorView(offset=screen.size[0])
p = Presentation(go_duration=(5.0, 'seconds'), viewports=[viewport])

# Go!
p.go()
Exemplo n.º 7
0
mask = Mask2D(function='circle',   # also supports 'circle'
              radius_parameter=100,   # sigma for gaussian, radius for circle (units: num_samples)
              num_samples=(256,256)) # this many texture elements in mask (covers whole size specified below)

# NOTE: I am not a color scientist, and I am not familiar with the
# needs of color scientists.  Color interpolation is currently done in
# RGB space, but I assume there are other interpolation methods that
# people may want.  Please submit any suggestions.

stimulus = SinGrating2D(color1           = (0.5, 0.25, 0.5), # RGB (alpha ignored if given)
                        color2           = (1.0, 0.5,  0.1), # RGB (alpha ignored if given)
                        contrast         = 0.2,
                        pedestal         = 0.1,
                        mask             = mask, # optional
                        position         = ( screen.size[0]/2.0, screen.size[1]/2.0 ),
                        anchor           = 'center',
                        size             = ( 300.0 , 300.0 ),
                        spatial_freq     = 20.0 / screen.size[0], # units of cycles/pixel
                        temporal_freq_hz = 1.0,
                        orientation      = 270.0 )

def pedestal_func(t):
    # Calculate pedestal over time. (Pedestal range [0.1,0.9] and
    # contrast = 0.2 limits total range to [0.0,1.0])
    temporal_freq_hz = 0.2
    return 0.4 * sin(t*2*pi * temporal_freq_hz) + 0.5

###############################################################
#  Create viewport - intermediary between stimuli and screen  #
###############################################################
Exemplo n.º 8
0
        Text(
            text="Texture Mask",
            position=(x1, y2),
            anchor='center',
            color=warning_color,
            font_size=warning_font_size,
        ))
    print "Exception while trying to create circle_mask: %s: %s" % (
        x.__class__, str(x))

color_grating = SinGrating2D(
    color1=(0.5, 0.25, 0.5),  # RGB, Alpha ignored if given
    color2=(1.0, 0.5, 0.1),  # RGB, Alpha ignored if given
    contrast=0.2,
    pedestal=0.1,
    mask=circle_mask,
    position=(x1, y2),
    anchor='center',
    size=(width, width),  # must be square for circle shape
    spatial_freq=20.0 / screen.size[0],
    temporal_freq_hz=1.0,
    orientation=270.0)

legends.append(
    Text(
        text="SinGrating2D (color)",
        position=(x1, y2 - height / 2 + 2),
        anchor='top',
        color=legend_color,
        font_size=legend_font_size,
    ))
Exemplo n.º 9
0
##########################################################
#  Create sinusoidal grating object and gaussian window  #
##########################################################

mask = Mask2D(
    function='gaussian',  # also supports 'circle'
    radius_parameter=
    25,  # sigma for gaussian, radius for circle (units: num_samples)
    num_samples=(256, 256)
)  # this many texture elements in mask (covers whole size specified below)

stimulus = SinGrating2D(
    mask=mask,
    position=(screen.size[0] / 2.0, screen.size[1] / 2.0),
    size=(300.0, 300.0),
    spatial_freq=10.0 / screen.size[0],  # units of cycles/pixel
    temporal_freq_hz=1.0,
    orientation=45.0)

###############################################################
#  Create viewport - intermediary between stimuli and screen  #
###############################################################

viewport = Viewport(screen=screen, stimuli=[stimulus])

########################################
#  Create presentation object and go!  #
########################################

p = Presentation(go_duration=(5.0, 'seconds'), viewports=[viewport])