def flatAzim(res, cone, ori=0.0, cycles=1.0, phase=0.0, elevation = 0.0):
"""Creates a grating defined either by S or LM in DKL space. The elevation
can be changed whilst keeping the azimuth flat - in effect changing the position
of the azimuth
Warning: May generate values >1 or <-1
:Parameters:
res: integer
the size of the resulting matrix on both dimensions (e.g 256)
cone: 'LM' or 'S'
which axis in DKL space the grating should be created in
ori: float or int (default=0.0)
the orientation of the grating in degrees
cycles:float or int (default=1.0)
the number of grating cycles within the array
phase: float or int (default=0.0)
the phase of the grating in degrees (NB this differs to most
PsychoPy phase arguments which use units of fraction of a cycle)
elevation: float or int (default=0.0)
the angle that the azimuth will be changed to
:Returns:
a square numpy array of size resXres
"""
gabor = filters.makeGrating(res, ori=ori, cycles = cycles, phase=phase)
colorGabor = np.zeros((len(gabor), len(gabor), 3))
colorGabor[:,:,0] = copy.copy(gabor)
colorGabor[:,:,1] = copy.copy(gabor)
colorGabor[:,:,2] = copy.copy(gabor)
dklGabor = misc.rgb2dklCart(colorGabor)
if cone=='LM':
dklGabor = misc.cart2sph(dklGabor[:,:,0]*0.0, dklGabor[:,:,0]*0.0, dklGabor[:,:,0])
if cone=='S':
dklGabor = misc.cart2sph(dklGabor[:,:,0]*0.0, dklGabor[:,:,0], dklGabor[:,:,0]*0.0)
if cone=='Lum':
dklGabor = misc.cart2sph(dklGabor[:,:,0], dklGabor[:,:,0]*0.0, dklGabor[:,:,0]*0.0)
temp = copy.copy(dklGabor[:,:,1])+1
temp = (temp/np.abs(temp))*+elevation
dklGabor[:,:,0] += temp
rgbGabor = misc. dkl2rgb(dklGabor)
return rgbGabor
if thisCond=='lum':
thisInfo['Chromaticity']=1
thisInfo['Luminance']=1
thisInfo['Chromatic Blur']='n'
thisInfo['Luminance Blur']='y'
if thisCond=='achrom':
thisInfo['Chromaticity']=0
thisInfo['Luminance']=1
thisInfo['Chromatic Blur']='n'
thisInfo['Luminance Blur']='y'
for thisPicture in info['pictures']:
#Import a picture, turn into an array and change the range from 0-255 to (-1)-1
picture=np.array(Image.open(thisPicture).transpose(Image.FLIP_TOP_BOTTOM))/127.5-1
#Change the picture from RGB to DKL
thisDklPicture = misc.rgb2dklCart(picture, conversionMatrix=conversionMatrix)
thisDklPicture = np.array(thisDklPicture)
#Specific info for this staircase
picInfo=copy.copy(thisInfo)
# thisInfo['thisPicture'] = thisPicture
# info['images']={thisPicture:thisDklPicture}
# info['images'][thisPicture]=thisDklPicture
thisStair = data.StairHandler(startVal=info['startVal'],
nReversals=info['nReversals'],
stepSizes=info['stepSizes'],
stepType='lin',
nTrials=info['nTrials'],
nUp=info['nUp'],
lmGrating = np.empty((128,128,3))
lmGrating[:,:,0] = copy.copy(grating2)
lmGrating[:,:,1] = copy.copy(grating2)
lmGrating[:,:,2] = copy.copy(grating2)
grating1 = makeSineGrating(128, cycles=10.0, amplitude=amp, frequency=5)
lumGrating = np.empty((128,128,3))
lumGrating[:,:,0] = copy.copy(grating1)
lumGrating[:,:,1] = copy.copy(grating1)
lumGrating[:,:,2] = copy.copy(grating1)
print amp #Current amplitude
dklGratingLum = misc.rgb2dklCart(lumGrating)
dklGratingLm = misc.rgb2dklCart(lmGrating)
lum1 = copy.copy(dklGratingLum[:,:,0])
lm1 = copy.copy(dklGratingLum[:,:,1])*0
s1 = copy.copy(dklGratingLum[:,:,2])*0
lum2 = copy.copy(dklGratingLm[:,:,0])
lm2 = copy.copy(dklGratingLm[:,:,1])*0
s2 = copy.copy(dklGratingLm[:,:,2])*0
lumlm = (lum2)/2.0 #peturb
lmlm = (lum1)/2.0 #straight
lmlm = np.rot90(lmlm) #rotated perturb
#Image statistics to analyse LM and S in natural images - February 2011
from psychopy import misc
import numpy as np
import copy
import Image
range = range(512)
#Import picture and convert from RGB to DKL
pictures = ["Leaf512.jpg", "Pansy512.jpg", "Pelican512.jpg", "Pumpkin512.jpg"]
picture=np.array(Image.open("Pumpkin512.jpg").transpose(Image.FLIP_TOP_BOTTOM))/127.5-1
dklPicture = misc.rgb2dklCart(picture)
dklPicture = np.array(dklPicture)
lum = copy.copy(dklPicture[:,:,0])
lm = copy.copy(dklPicture[:,:,1])
s = copy.copy(dklPicture[:,:,2])
print 'rms lm', lm.std()
print 'rms s', s.std()
print 'rms lum', lum.std()
#print np.min(lm)
#print np.max(lm)
#Calculate the range of lm, s and lum
print 'lum min', np.min(lum), 'lum max', np.max(lum)
sizer = np.array(OrigPicture)
#Measure the size of the image in order to crop out the centre 512x512 block
# print sizer.shape
if len(sizer[0,:,:]>512):
xremove = (len(sizer[0,:,:])-512)/2
if len(sizer[:,0,:]>512):
yremove = (len(sizer[:,0,:])-512)/2
#Crop to centre 512x512
box = (xremove, yremove, 512+xremove, 512+yremove)
picture = np.array(OrigPicture.crop(box)) /127.5-1
#Convert to DKL and separate into channels
dklPicture = misc.rgb2dklCart(picture, conversionMatrix=None)
dklPicture = np.array(dklPicture)
lum = copy.copy(dklPicture[:,:,0])
lm = copy.copy(dklPicture[:,:,1])
s = copy.copy(dklPicture[:,:,2])
#Run 2d Fast Fourier Transform on each Channel
fftLum = fftpack.fft2(lum)
fftLm = fftpack.fft2(lm)
fftS = fftpack.fft2(s)
F2Lum = fftpack.fftshift(fftLum)
F2Lm = fftpack.fftshift(fftLm)
F2S = fftpack.fftshift(fftS)
