centerPosition = [i_x/2, i_y/2 + testSize]
startinputImage[centerPosition[0]-testSize/2+1:centerPosition[0]+testSize/2 , centerPosition[1]-testSize/2+1:centerPosition[1]+testSize/2]=gray+adaptorColorChange
startinputImage[centerPosition[0]-testSize/2+2:centerPosition[0]+testSize/2 -1 , centerPosition[1]-testSize/2+2:centerPosition[1]+testSize/2-1]=gray
else: # draw test stimuli
startinputImage = np.ones((i_x, i_y))*gray
#left gray
centerPosition = [i_x/2, i_y/2 - testSize]
startinputImage[centerPosition[0]-testSize/2+1:centerPosition[0]+testSize/2 -1, centerPosition[1]-testSize/2+1:centerPosition[1]+testSize/2-1]=gray+testColorChange
#right gray
centerPosition = [i_x/2, i_y/2 + testSize]
startinputImage[centerPosition[0]-testSize/2+1:centerPosition[0]+testSize/2 -1, centerPosition[1]-testSize/2+1:centerPosition[1]+testSize/2-1]=gray+testColorChange
if condition ==11: #Whites illusion
startinputImage = np.ones((i_x, i_y))*gray
stim, mask_dark, mask_bright = wi.evaluate(patch_h,direction) # 'h'orizontal, 'v'ertical or 'both' bars
if time< testOnset: # Show adaptors (mask)
if adaptorColorChange == gray:
startinputImage= mask_bright*2
else:
startinputImage= mask_dark*2
else: # Show test stimuli
startinputImage = stim
# Remove start column and row, add to end, shift matching to Matlab indexing
#store = np.vstack((startinputImage[1::,:],startinputImage[0,:]))
#startinputImage = np.vstack((store[:,1::].T,store[:,0])).T
# fixation markers
gray = 127
patch_h = 0.25
direction = 'h'
typ = 'inner'
contrast = 0.1
noise = 0
timeCount = 0
for time in np.arange(startT,stopT,stepT):
# change adaptor color with each time step to produce flicker
adaptorColorChange = -gray # black
if np.mod(timeCount, 2)== 0:
adaptorColorChange=gray
startInputImage = np.ones((i_x, i_y))*gray
stim, mask_dark, mask_bright = wi.evaluate(patch_h,direction,typ,contrast)
if time< testOnset: # Show adaptors (mask)
if adaptorColorChange == gray:
startInputImage= mask_bright
else:
startInputImage= mask_dark
else: # Show test stimuli
startInputImage = stim
# fixation markers
startInputImage[i_x/2-2,i_y/2-2]=255
startInputImage[i_x/2 ,i_y/2 ]=255
startInputImage[i_x/2-2,i_y/2 ]=0
startInputImage[i_x/2 ,i_y/2-2]=0
# Add noise
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 21 09:48:03 2016
@author: will
"""
import whitesillusion as wi
import image_edit
import math
import numpy as np
gray=127
# create whites illusion stimulus
direction = 'v'
patch_h = 0.25
stim, mask_dark, mask_bright = wi.evaluate(patch_h,direction)
i_x=stim.shape[0]
i_y=stim.shape[0]
stim=stim.T
inputImage = np.zeros((i_x, i_y, 3))
inputImage[:,:,0] = stim
inputImage[:,:,1] = stim
inputImage[:,:,2] = stim
[rg, by, wb] = image_edit.ConvertRGBtoOpponentColor(inputImage, gray)
# padding
PaddingSize = math.floor(np.max(wb.shape)/2)
PaddingColor = wb[0,0]
wb2 = image_edit.im_padding(wb, PaddingSize, PaddingColor)
