In [1]:
## Following MATLAB code from http://capture-clarity.org/clarity-based-tractography/
In [2]:
import os
In [3]:
## Parameters (the script loops through all parameters and saves each result automatically)
dogsigmaArr = [1]; # Sigma values for derivative of gaussian filter, recommended value: 0.6 - 1.3 (based on actual data)
gausigmaArr = [2.3]; # Sigma values for gaussian filter, recommended value: 1.3 - 2.3 (based on actual data)
angleArr = [25]; # Angle thresholds for fiber tracking, recommended value: 20 - 30
In [4]:
pwd
Out[4]:
u'/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb'
In [5]:
import numpy as np
In [6]:
import math
from scipy import ndimage
import nibabel as nib
In [7]:
## File for loading TIFF stack. (See generation in other script)
# file_path = "/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb/TIFF_stack"
file_path = "/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb/line_tiff/v100/ch0"
directory = os.path.dirname(file_path)
In [8]:
pwd
Out[8]:
u'/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb'
In [9]:
cd line_tiff/v100/ch0
/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb/line_tiff/v100/ch0
In [10]:
from PIL import Image
from numpy import matlib
from scipy import signal
In [11]:
def tiff_to_array(input_path):
im = Image.open(input_path)
# im.show()
imarray = np.array(im)
# print(imarray)
return imarray
In [12]:
def tiff_stack_to_array(input_path):
"""input_path should lead to a directory"""
im_list = [];
for filename in os.listdir(input_path):
if filename.endswith(".tiff"):
# print(os.path.join(directory, filename))
im_arr = tiff_to_array(filename)
im_list.append(im_arr)
s = np.stack(im_list, axis=2)
print s.shape
return s
In [13]:
'''
Function to generate derivatives of Gaussian kernels, in either 1D, 2D, or 3D.
Source code in MATLAB obtained from Qiyuan Tian, Stanford University, September 2015
Edited to work in Python by Tony.
'''
def doggen(sigma):
halfsize = np.ceil(3 * np.max(sigma))
x = range(np.single(-halfsize), np.single(halfsize + 1)); # Python colon is not inclusive at end, while MATLAB is.
dim = len(sigma);
if dim == 1:
X = np.array(x); # Remember that, by default, numpy arrays are elementwise multiplicative
k = -X * np.exp(-X**2/(2 * sigma**2));
elif dim == 2:
[X, Y] = np.meshgrid(x, x);
k = -X * np.exp(-X**2/(2*sigma[0]^2) * np.exp(-Y**2))
elif dim == 3:
[X, Y, Z] = np.meshgrid(x, x, x);
X = X.transpose(0, 2, 1); # Obtained through vigorous testing (see below...)
Y = Y.transpose(2, 0, 1);
Z = Z.transpose(2, 1, 0);
X = X.astype(float);
Y = Y.astype(float);
Z = Z.astype(float);
k = -X * np.exp(np.divide(-np.power(X, 2), 2 * np.power(sigma[0], 2))) * np.exp(np.divide(-np.power(Y,2), 2 * np.power(sigma[1],2))) * np.exp(np.divide(-np.power(Z,2), 2 * np.power(sigma[2],2)))
else:
print 'Only supports up to 3 dimensions'
return np.divide(k, np.sum(np.abs(k[:])));
In [14]:
'''
Function to generate Gaussian kernels, in 1D, 2D and 3D.
Source code in MATLAB obtained from Qiyuan Tian, Stanford University, September 2015
Edited to work in Python by Tony.
'''
def gaussgen(sigma):
halfsize = np.ceil(3 * max(sigma));
x = range(np.single(-halfsize), np.single(halfsize + 1));
dim = len(sigma);
if dim == 1:
x = x.astype(float);
k = np.exp(-x**2 / (2 * sigma^2));
elif dim == 2:
[X, Y] = np.meshgrid(x, x);
X = X.astype(float);
Y = Y.astype(float);
k = np.exp(-X**2 / (2 * sigma[0]**2)) * np.exp(-Y**2 / (2 * sigma[1]**2));
elif dim == 3:
[X, Y, Z] = np.meshgrid(x, x, x);
X = X.transpose(0, 2, 1); # Obtained through vigorous testing (see below...)
Y = Y.transpose(2, 0, 1);
Z = Z.transpose(2, 1, 0);
X = X.astype(float); # WHY PYTHON?
Y = Y.astype(float);
Z = Z.astype(float);
k = np.exp(-X**2 / (2 * sigma[0]**2)) * np.exp(-Y**2 / (2 * sigma[1]**2)) * np.exp(-Z**2 / (2 * sigma[2]**2));
else:
print 'Only supports up to dimension 3'
return np.divide(k, np.sum(np.abs(k)));
In [15]:
## Generating data directly from Numpy
# Set up results directory
if not os.path.exists(directory):
os.makedirs(directory)
# im = Image.open('page1.tiff') # Needs to be changed to dynamically go down list of fnDataArr (currently just loads same test image)
# Omitted: channel data (red/green - our CLARITY data was single channel, so no channel data loaded.)
ones = np.single(100 * np.ones((10, 10, 10))); #data is hard coded to be np.ones
# image has a line of intensity value 100 at col = 4, depth = 4
line = np.zeros((10, 10, 10))
line[:,2,2] = 100
line = np.single(line)
# Load from TIFF:
line_matlab = tiff_stack_to_array(file_path);
(10, 10, 10)
In [16]:
#print np.transpose(line_matlab, (2, 0, 1))
In [17]:
types_of_data = [ones, line, line_matlab];
tensorFSLTEST = [];
for x in types_of_data:
img_data = x;
#print img_data[:, :, 3];
for jj in range(len(dogsigmaArr)):
dogsigma = dogsigmaArr[jj];
print "Start DoG Sigma on " + str(dogsigma);
# Generate dog kernels
dogkercc = doggen([dogsigma, dogsigma, dogsigma]);
dogkercc = np.transpose(dogkercc, (0, 2, 1)); # annoying
#print dogkercc.shape;
#print dogkercc[:, :, 0];
dogkerrr = np.transpose(dogkercc, (1, 0, 2));
#print dogkerrr[:, :, 0];
dogkerzz = np.transpose(dogkercc, (0, 2, 1));
#print dogkerzz[:, :, 0];
# Compute gradients
grr = signal.convolve(img_data, dogkerrr, 'same');
#print grr[:, :, 0];
gcc = signal.convolve(img_data, dogkercc, 'same');
#print gcc[:, :, 0];
gzz = signal.convolve(img_data, dogkerzz, 'same');
#print gzz[:, :, 0];
# Compute gradient products
gprrrr = np.multiply(grr, grr);
#print gprrrr[:, :, 0];
gprrcc = np.multiply(grr, gcc);
#print gprrcc[:, :, 0];
gprrzz = np.multiply(grr, gzz);
#print gprrzz[:, :, 0]
gpcccc = np.multiply(gcc, gcc);
gpcczz = np.multiply(gcc, gzz);
gpzzzz = np.multiply(gzz, gzz);
# Compute gradient amplitudes
# print ga.dtype;
ga = np.sqrt(gprrrr + gpcccc + gpzzzz);
#print ga[:, :, 0];
print "GA SHAPE:"
print ga.shape;
# Convert numpy ndarray object to Nifti data type
gradient_amplitudes_data = nib.Nifti1Image(ga, affine=np.eye(4));
# Save gradient amplitudes image
nib.save(gradient_amplitudes_data, 'gradient_amplitudes.nii');
# Compute gradient vectors
gv = np.concatenate((grr[..., np.newaxis], gcc[..., np.newaxis], gzz[..., np.newaxis]), axis = 3);
#print gv[:, :, 0, 0];
gv = np.divide(gv, np.tile(ga[..., None], [1, 1, 1, 3]));
#print gv[:, :, 0, 1];
print "GV SHAPE:"
print gv.shape;
# Convert numpy ndarray object to Nifti data type
gradient_vectors_data = nib.Nifti1Image(gv, affine=np.eye(4));
# Save gradient vectors
nib.save(gradient_vectors_data, 'gradient_vectors.nii');
# Compute structure tensor
for kk in range(len(gausigmaArr)):
gausigma = gausigmaArr[kk];
print "Start Gauss Sigma with gausigma = " + str(gausigma);
print "Generating Gaussian kernel..."
gaussker = np.single(gaussgen([gausigma, gausigma, gausigma]));
#print gaussker[:, :, 0];
print "Blurring gradient products..."
gprrrrgauss = signal.convolve(gprrrr, gaussker, "same");
#print gprrrrgauss[:, :, 0];
gprrccgauss = signal.convolve(gprrcc, gaussker, "same");
#print gprrccgauss[:, :, 0];
gprrzzgauss = signal.convolve(gprrzz, gaussker, "same");
gpccccgauss = signal.convolve(gpcccc, gaussker, "same");
gpcczzgauss = signal.convolve(gpcczz, gaussker, "same");
gpzzzzgauss = signal.convolve(gpzzzz, gaussker, "same");
print "Saving a copy for this Gaussian sigma..."
tensorfsl = np.concatenate((gprrrrgauss[..., np.newaxis], gprrccgauss[..., np.newaxis], gprrzzgauss[..., np.newaxis], gpccccgauss[..., np.newaxis], gpcczzgauss[..., np.newaxis], gpzzzzgauss[..., np.newaxis]), axis = 3);
tensorFSLTEST.append(tensorfsl);
# Convert numpy ndarray object to Nifti data type
tensor_fsl_data = nib.Nifti1Image(tensorfsl, affine=np.eye(4));
nib.save(tensor_fsl_data, "dogsigma_" + str(jj) + "gausigma_" + str(kk) + 'tensorfsl.nii');
print 'Complete!'
Start DoG Sigma on 1
GA SHAPE:
(10, 10, 10)
GV SHAPE:
(10, 10, 10, 3)
Start Gauss Sigma with gausigma = 2.3
Generating Gaussian kernel...
Blurring gradient products...
Saving a copy for this Gaussian sigma...
Complete!
Start DoG Sigma on 1
GA SHAPE:
(10, 10, 10)
GV SHAPE:
(10, 10, 10, 3)
Start Gauss Sigma with gausigma = 2.3
Generating Gaussian kernel...
Blurring gradient products...
/Users/Tony/anaconda/lib/python2.7/site-packages/ipykernel/__main__.py:76: RuntimeWarning: invalid value encountered in divide
Saving a copy for this Gaussian sigma...
Complete!
Start DoG Sigma on 1
GA SHAPE:
(10, 10, 10)
GV SHAPE:
(10, 10, 10, 3)
Start Gauss Sigma with gausigma = 2.3
Generating Gaussian kernel...
Blurring gradient products...
Saving a copy for this Gaussian sigma...
Complete!
In [18]:
## ONES:
tensorfsl = tensorFSLTEST[0];
In [19]:
## Compare tensor_fsl_data with imported values from MATLAB
print tensorfsl.shape # numpy
(10, 10, 10, 6)
In [20]:
MATLAB_output = nib.load("/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb/test_MATLAB_10by10by10_outputs/dogsig1_gausig2.3/test_MATLAB_tensorfsl_dogsig1_gausig2.3.nii")
In [21]:
print MATLAB_output.shape
(10, 10, 10, 6)
In [22]:
MATLAB_np_array = MATLAB_output.get_data()
print MATLAB_np_array.shape
(10, 10, 10, 6)
In [23]:
print tensorfsl[:, :, :, 0];
[[[ 109.85943033 147.37287499 179.26563687 201.37589584 212.3919397
212.3919397 201.37589584 179.26563687 147.37287499 109.85943033]
[ 147.37287499 197.69594847 240.47905765 270.13925545 284.91692228
284.91692228 270.13925545 240.47905765 197.69594847 147.37287499]
[ 179.26563687 240.47905765 292.52080083 328.5997214 346.57540288
346.57540288 328.5997214 292.52080083 240.47905765 179.26563687]
[ 201.37589584 270.13925545 328.5997214 369.12854264 389.32130808
389.32130808 369.12854264 328.5997214 270.13925545 201.37589584]
[ 212.3919397 284.91692228 346.57540288 389.32130808 410.61869621
410.61869621 389.32130808 346.57540288 284.91692228 212.3919397 ]
[ 212.3919397 284.91692228 346.57540288 389.32130808 410.61869621
410.61869621 389.32130808 346.57540288 284.91692228 212.3919397 ]
[ 201.37589584 270.13925545 328.5997214 369.12854264 389.32130808
389.32130808 369.12854264 328.5997214 270.13925545 201.37589584]
[ 179.26563687 240.47905765 292.52080083 328.5997214 346.57540288
346.57540288 328.5997214 292.52080083 240.47905765 179.26563687]
[ 147.37287499 197.69594847 240.47905765 270.13925545 284.91692228
284.91692228 270.13925545 240.47905765 197.69594847 147.37287499]
[ 109.85943033 147.37287499 179.26563687 201.37589584 212.3919397
212.3919397 201.37589584 179.26563687 147.37287499 109.85943033]]
[[ 102.01451941 136.84918042 166.46452405 186.99591984 197.22532319
197.22532319 186.99591984 166.46452405 136.84918042 102.01451941]
[ 136.84918042 183.57875205 223.30677825 250.84898216 264.57139616
264.57139616 250.84898216 223.30677825 183.57875205 136.84918042]
[ 166.46452405 223.30677825 271.63229216 305.13486668 321.82692951
321.82692951 305.13486668 271.63229216 223.30677825 166.46452405]
[ 186.99591984 250.84898216 305.13486668 342.76958054 361.52040841
361.52040841 342.76958054 305.13486668 250.84898216 186.99591984]
[ 197.22532319 264.57139616 321.82692951 361.52040841 381.29697939
381.29697939 361.52040841 321.82692951 264.57139616 197.22532319]
[ 197.22532319 264.57139616 321.82692951 361.52040841 381.29697939
381.29697939 361.52040841 321.82692951 264.57139616 197.22532319]
[ 186.99591984 250.84898216 305.13486668 342.76958054 361.52040841
361.52040841 342.76958054 305.13486668 250.84898216 186.99591984]
[ 166.46452405 223.30677825 271.63229216 305.13486668 321.82692951
321.82692951 305.13486668 271.63229216 223.30677825 166.46452405]
[ 136.84918042 183.57875205 223.30677825 250.84898216 264.57139616
264.57139616 250.84898216 223.30677825 183.57875205 136.84918042]
[ 102.01451941 136.84918042 166.46452405 186.99591984 197.22532319
197.22532319 186.99591984 166.46452405 136.84918042 102.01451941]]
[[ 79.87859737 107.15455673 130.34372749 146.42005751 154.4298035
154.4298035 146.42005751 130.34372749 107.15455673 79.87859737]
[ 107.15455673 143.74437464 174.85189774 196.41777491 207.16259029
207.16259029 196.41777491 174.85189774 143.74437464 107.15455673]
[ 130.34372749 174.85189774 212.69135729 238.92427637 251.99436252
251.99436252 238.92427637 212.69135729 174.85189774 130.34372749]
[ 146.42005751 196.41777491 238.92427637 268.39271027 283.07483424
283.07483424 268.39271027 238.92427637 196.41777491 146.42005751]
[ 154.4298035 207.16259029 251.99436252 283.07483424 298.56012742
298.56012742 283.07483424 251.99436252 207.16259029 154.4298035 ]
[ 154.4298035 207.16259029 251.99436252 283.07483424 298.56012742
298.56012742 283.07483424 251.99436252 207.16259029 154.4298035 ]
[ 146.42005751 196.41777491 238.92427637 268.39271027 283.07483424
283.07483424 268.39271027 238.92427637 196.41777491 146.42005751]
[ 130.34372749 174.85189774 212.69135729 238.92427637 251.99436252
251.99436252 238.92427637 212.69135729 174.85189774 130.34372749]
[ 107.15455673 143.74437464 174.85189774 196.41777491 207.16259029
207.16259029 196.41777491 174.85189774 143.74437464 107.15455673]
[ 79.87859737 107.15455673 130.34372749 146.42005751 154.4298035
154.4298035 146.42005751 130.34372749 107.15455673 79.87859737]]
[[ 54.69336438 73.36938073 89.24714786 100.25470939 105.73903143
105.73903143 100.25470939 89.24714786 73.36938073 54.69336438]
[ 73.36938073 98.42265313 119.72216462 134.48845267 141.84549342
141.84549342 134.48845267 119.72216462 98.42265313 73.36938073]
[ 89.24714786 119.72216462 145.63107419 163.59291438 172.54208224
172.54208224 163.59291438 145.63107419 119.72216462 89.24714786]
[ 100.25470939 134.48845267 163.59291438 183.77013138 193.82307139
193.82307139 183.77013138 163.59291438 134.48845267 100.25470939]
[ 105.73903143 141.84549342 172.54208224 193.82307139 204.42594628
204.42594628 193.82307139 172.54208224 141.84549342 105.73903143]
[ 105.73903143 141.84549342 172.54208224 193.82307139 204.42594628
204.42594628 193.82307139 172.54208224 141.84549342 105.73903143]
[ 100.25470939 134.48845267 163.59291438 183.77013138 193.82307139
193.82307139 183.77013138 163.59291438 134.48845267 100.25470939]
[ 89.24714786 119.72216462 145.63107419 163.59291438 172.54208224
172.54208224 163.59291438 145.63107419 119.72216462 89.24714786]
[ 73.36938073 98.42265313 119.72216462 134.48845267 141.84549342
141.84549342 134.48845267 119.72216462 98.42265313 73.36938073]
[ 54.69336438 73.36938073 89.24714786 100.25470939 105.73903143
105.73903143 100.25470939 89.24714786 73.36938073 54.69336438]]
[[ 38.68963919 51.90090047 63.13270326 70.91936242 74.79892705
74.79892705 70.91936242 63.13270326 51.90090047 38.68963919]
[ 51.90090047 69.62338047 84.69048089 95.13603248 100.34034302
100.34034302 95.13603248 84.69048089 69.62338047 51.90090047]
[ 63.13270326 84.69048089 103.01823188 115.72429098 122.05485924
122.05485924 115.72429098 103.01823188 84.69048089 63.13270326]
[ 70.91936242 95.13603248 115.72429098 129.99748957 137.10885725
137.10885725 129.99748957 115.72429098 95.13603248 70.91936242]
[ 74.79892705 100.34034302 122.05485924 137.10885725 144.60924436
144.60924436 137.10885725 122.05485924 100.34034302 74.79892705]
[ 74.79892705 100.34034302 122.05485924 137.10885725 144.60924436
144.60924436 137.10885725 122.05485924 100.34034302 74.79892705]
[ 70.91936242 95.13603248 115.72429098 129.99748957 137.10885725
137.10885725 129.99748957 115.72429098 95.13603248 70.91936242]
[ 63.13270326 84.69048089 103.01823188 115.72429098 122.05485924
122.05485924 115.72429098 103.01823188 84.69048089 63.13270326]
[ 51.90090047 69.62338047 84.69048089 95.13603248 100.34034302
100.34034302 95.13603248 84.69048089 69.62338047 51.90090047]
[ 38.68963919 51.90090047 63.13270326 70.91936242 74.79892705
74.79892705 70.91936242 63.13270326 51.90090047 38.68963919]]
[[ 38.68963919 51.90090047 63.13270326 70.91936242 74.79892705
74.79892705 70.91936242 63.13270326 51.90090047 38.68963919]
[ 51.90090047 69.62338047 84.69048089 95.13603248 100.34034302
100.34034302 95.13603248 84.69048089 69.62338047 51.90090047]
[ 63.13270326 84.69048089 103.01823188 115.72429098 122.05485924
122.05485924 115.72429098 103.01823188 84.69048089 63.13270326]
[ 70.91936242 95.13603248 115.72429098 129.99748957 137.10885725
137.10885725 129.99748957 115.72429098 95.13603248 70.91936242]
[ 74.79892705 100.34034302 122.05485924 137.10885725 144.60924436
144.60924436 137.10885725 122.05485924 100.34034302 74.79892705]
[ 74.79892705 100.34034302 122.05485924 137.10885725 144.60924436
144.60924436 137.10885725 122.05485924 100.34034302 74.79892705]
[ 70.91936242 95.13603248 115.72429098 129.99748957 137.10885725
137.10885725 129.99748957 115.72429098 95.13603248 70.91936242]
[ 63.13270326 84.69048089 103.01823188 115.72429098 122.05485924
122.05485924 115.72429098 103.01823188 84.69048089 63.13270326]
[ 51.90090047 69.62338047 84.69048089 95.13603248 100.34034302
100.34034302 95.13603248 84.69048089 69.62338047 51.90090047]
[ 38.68963919 51.90090047 63.13270326 70.91936242 74.79892705
74.79892705 70.91936242 63.13270326 51.90090047 38.68963919]]
[[ 54.69336438 73.36938073 89.24714786 100.25470939 105.73903143
105.73903143 100.25470939 89.24714786 73.36938073 54.69336438]
[ 73.36938073 98.42265313 119.72216462 134.48845267 141.84549342
141.84549342 134.48845267 119.72216462 98.42265313 73.36938073]
[ 89.24714786 119.72216462 145.63107419 163.59291438 172.54208224
172.54208224 163.59291438 145.63107419 119.72216462 89.24714786]
[ 100.25470939 134.48845267 163.59291438 183.77013138 193.82307139
193.82307139 183.77013138 163.59291438 134.48845267 100.25470939]
[ 105.73903143 141.84549342 172.54208224 193.82307139 204.42594628
204.42594628 193.82307139 172.54208224 141.84549342 105.73903143]
[ 105.73903143 141.84549342 172.54208224 193.82307139 204.42594628
204.42594628 193.82307139 172.54208224 141.84549342 105.73903143]
[ 100.25470939 134.48845267 163.59291438 183.77013138 193.82307139
193.82307139 183.77013138 163.59291438 134.48845267 100.25470939]
[ 89.24714786 119.72216462 145.63107419 163.59291438 172.54208224
172.54208224 163.59291438 145.63107419 119.72216462 89.24714786]
[ 73.36938073 98.42265313 119.72216462 134.48845267 141.84549342
141.84549342 134.48845267 119.72216462 98.42265313 73.36938073]
[ 54.69336438 73.36938073 89.24714786 100.25470939 105.73903143
105.73903143 100.25470939 89.24714786 73.36938073 54.69336438]]
[[ 79.87859737 107.15455673 130.34372749 146.42005751 154.4298035
154.4298035 146.42005751 130.34372749 107.15455673 79.87859737]
[ 107.15455673 143.74437464 174.85189774 196.41777491 207.16259029
207.16259029 196.41777491 174.85189774 143.74437464 107.15455673]
[ 130.34372749 174.85189774 212.69135729 238.92427637 251.99436252
251.99436252 238.92427637 212.69135729 174.85189774 130.34372749]
[ 146.42005751 196.41777491 238.92427637 268.39271027 283.07483424
283.07483424 268.39271027 238.92427637 196.41777491 146.42005751]
[ 154.4298035 207.16259029 251.99436252 283.07483424 298.56012742
298.56012742 283.07483424 251.99436252 207.16259029 154.4298035 ]
[ 154.4298035 207.16259029 251.99436252 283.07483424 298.56012742
298.56012742 283.07483424 251.99436252 207.16259029 154.4298035 ]
[ 146.42005751 196.41777491 238.92427637 268.39271027 283.07483424
283.07483424 268.39271027 238.92427637 196.41777491 146.42005751]
[ 130.34372749 174.85189774 212.69135729 238.92427637 251.99436252
251.99436252 238.92427637 212.69135729 174.85189774 130.34372749]
[ 107.15455673 143.74437464 174.85189774 196.41777491 207.16259029
207.16259029 196.41777491 174.85189774 143.74437464 107.15455673]
[ 79.87859737 107.15455673 130.34372749 146.42005751 154.4298035
154.4298035 146.42005751 130.34372749 107.15455673 79.87859737]]
[[ 102.01451941 136.84918042 166.46452405 186.99591984 197.22532319
197.22532319 186.99591984 166.46452405 136.84918042 102.01451941]
[ 136.84918042 183.57875205 223.30677825 250.84898216 264.57139616
264.57139616 250.84898216 223.30677825 183.57875205 136.84918042]
[ 166.46452405 223.30677825 271.63229216 305.13486668 321.82692951
321.82692951 305.13486668 271.63229216 223.30677825 166.46452405]
[ 186.99591984 250.84898216 305.13486668 342.76958054 361.52040841
361.52040841 342.76958054 305.13486668 250.84898216 186.99591984]
[ 197.22532319 264.57139616 321.82692951 361.52040841 381.29697939
381.29697939 361.52040841 321.82692951 264.57139616 197.22532319]
[ 197.22532319 264.57139616 321.82692951 361.52040841 381.29697939
381.29697939 361.52040841 321.82692951 264.57139616 197.22532319]
[ 186.99591984 250.84898216 305.13486668 342.76958054 361.52040841
361.52040841 342.76958054 305.13486668 250.84898216 186.99591984]
[ 166.46452405 223.30677825 271.63229216 305.13486668 321.82692951
321.82692951 305.13486668 271.63229216 223.30677825 166.46452405]
[ 136.84918042 183.57875205 223.30677825 250.84898216 264.57139616
264.57139616 250.84898216 223.30677825 183.57875205 136.84918042]
[ 102.01451941 136.84918042 166.46452405 186.99591984 197.22532319
197.22532319 186.99591984 166.46452405 136.84918042 102.01451941]]
[[ 109.85943033 147.37287499 179.26563687 201.37589584 212.3919397
212.3919397 201.37589584 179.26563687 147.37287499 109.85943033]
[ 147.37287499 197.69594847 240.47905765 270.13925545 284.91692228
284.91692228 270.13925545 240.47905765 197.69594847 147.37287499]
[ 179.26563687 240.47905765 292.52080083 328.5997214 346.57540288
346.57540288 328.5997214 292.52080083 240.47905765 179.26563687]
[ 201.37589584 270.13925545 328.5997214 369.12854264 389.32130808
389.32130808 369.12854264 328.5997214 270.13925545 201.37589584]
[ 212.3919397 284.91692228 346.57540288 389.32130808 410.61869621
410.61869621 389.32130808 346.57540288 284.91692228 212.3919397 ]
[ 212.3919397 284.91692228 346.57540288 389.32130808 410.61869621
410.61869621 389.32130808 346.57540288 284.91692228 212.3919397 ]
[ 201.37589584 270.13925545 328.5997214 369.12854264 389.32130808
389.32130808 369.12854264 328.5997214 270.13925545 201.37589584]
[ 179.26563687 240.47905765 292.52080083 328.5997214 346.57540288
346.57540288 328.5997214 292.52080083 240.47905765 179.26563687]
[ 147.37287499 197.69594847 240.47905765 270.13925545 284.91692228
284.91692228 270.13925545 240.47905765 197.69594847 147.37287499]
[ 109.85943033 147.37287499 179.26563687 201.37589584 212.3919397
212.3919397 201.37589584 179.26563687 147.37287499 109.85943033]]]
In [24]:
print MATLAB_np_array[:, :, :, 0];
[[[ 109.85939789 147.37295532 179.26557922 201.37585449 212.39183044
212.39196777 201.37599182 179.26565552 147.37287903 109.85943604]
[ 147.37289429 197.69589233 240.47901917 270.13919067 284.91690063
284.91680908 270.13919067 240.47918701 197.69593811 147.37290955]
[ 179.26560974 240.47901917 292.52096558 328.59942627 346.57531738
346.57531738 328.59970093 292.52087402 240.47904968 179.26560974]
[ 201.37588501 270.13912964 328.59945679 369.12838745 389.32110596
389.32110596 369.12866211 328.59973145 270.13916016 201.37582397]
[ 212.39186096 284.91671753 346.57528687 389.3210144 410.61871338
410.61868286 389.32144165 346.57556152 284.91680908 212.391922 ]
[ 212.39189148 284.91677856 346.57519531 389.32107544 410.6187439
410.61865234 389.32144165 346.57556152 284.9168396 212.39190674]
[ 201.37590027 270.13916016 328.59954834 369.12850952 389.3213501
389.32125854 369.12860107 328.59979248 270.13919067 201.37588501]
[ 179.26556396 240.47903442 292.52087402 328.59942627 346.5753479
346.57537842 328.59963989 292.52081299 240.47912598 179.26560974]
[ 147.37287903 197.69586182 240.47903442 270.13916016 284.9168396
284.9168396 270.13922119 240.47912598 197.69596863 147.37290955]
[ 109.85939789 147.37290955 179.26556396 201.37585449 212.39178467
212.391922 201.37594604 179.26564026 147.37284851 109.85941315]]
[[ 102.014534 136.84910583 166.46453857 186.99604797 197.22549438
197.22535706 186.99586487 166.46455383 136.84922791 102.01452637]
[ 136.84912109 183.57879639 223.30690002 250.84902954 264.5715332
264.57141113 250.84901428 223.30671692 183.5788269 136.84919739]
[ 166.46447754 223.30693054 271.63244629 305.13494873 321.82687378
321.82711792 305.13500977 271.63247681 223.3067627 166.46463013]
[ 186.99597168 250.84910583 305.13497925 342.76980591 361.52059937
361.52053833 342.76980591 305.13500977 250.8490448 186.99595642]
[ 197.22544861 264.57168579 321.82711792 361.52059937 381.29696655
381.29696655 361.52050781 321.82705688 264.57144165 197.22537231]
[ 197.22541809 264.57171631 321.82714844 361.52072144 381.29702759
381.29705811 361.52041626 321.82699585 264.57144165 197.22538757]
[ 186.99597168 250.84901428 305.13491821 342.76983643 361.52056885
361.52056885 342.76980591 305.13497925 250.84901428 186.99594116]
[ 166.46443176 223.30691528 271.63235474 305.13497925 321.8269043
321.82699585 305.13491821 271.63232422 223.30671692 166.46456909]
[ 136.84902954 183.57878113 223.30679321 250.84907532 264.57150269
264.57122803 250.84902954 223.30671692 183.57885742 136.84922791]
[ 102.01451874 136.84913635 166.46455383 186.99594116 197.22543335
197.22531128 186.99591064 166.46459961 136.84924316 102.01452637]]
[[ 79.87863922 107.15452576 130.34361267 146.41996765 154.42985535
154.42980957 146.42007446 130.34378052 107.15455627 79.87863159]
[ 107.15450287 143.74443054 174.85192871 196.4178772 207.16256714
207.16256714 196.41783142 174.85195923 143.74436951 107.15457153]
[ 130.34365845 174.85188293 212.69116211 238.92424011 251.99429321
251.99436951 238.9243927 212.69125366 174.85192871 130.34375 ]
[ 146.42002869 196.4178772 238.92431641 268.39276123 283.07495117
283.07489014 268.39279175 238.92427063 196.41778564 146.42004395]
[ 154.42984009 207.16252136 251.99432373 283.07476807 298.56033325
298.56033325 283.07510376 251.99430847 207.16256714 154.42980957]
[ 154.42980957 207.16255188 251.99429321 283.07470703 298.56030273
298.56030273 283.07495117 251.9942627 207.16253662 154.42979431]
[ 146.42004395 196.41786194 238.92433167 268.39282227 283.07485962
283.07479858 268.39273071 238.92422485 196.41777039 146.42002869]
[ 130.34362793 174.85188293 212.69116211 238.92417908 251.99417114
251.99427795 238.92430115 212.69129944 174.85194397 130.34376526]
[ 107.15450287 143.74440002 174.85189819 196.41786194 207.16252136
207.16256714 196.41783142 174.85189819 143.74443054 107.15455627]
[ 79.87863922 107.1545105 130.34356689 146.41998291 154.42984009
154.42980957 146.42004395 130.34381104 107.15454865 79.87861633]]
[[ 54.69337463 73.3693924 89.24713898 100.25470734 105.73905182
105.73901367 100.25469208 89.24716187 73.36936951 54.69337463]
[ 73.36942291 98.4226532 119.72216797 134.48846436 141.84559631
141.84547424 134.48841858 119.72221375 98.42264557 73.3693924 ]
[ 89.24716187 119.7221756 145.631073 163.59286499 172.54206848
172.54211426 163.59295654 145.63108826 119.7221756 89.24716949]
[ 100.25468445 134.4884491 163.59298706 183.77015686 193.82307434
193.82302856 183.7702179 163.59301758 134.4884491 100.25471497]
[ 105.73899841 141.84561157 172.54216003 193.82305908 204.42596436
204.42607117 193.82302856 172.54212952 141.84553528 105.73905182]
[ 105.73902893 141.84562683 172.54217529 193.82305908 204.42593384
204.42607117 193.82304382 172.54212952 141.84553528 105.73905182]
[ 100.25469208 134.48851013 163.5929718 183.77018738 193.8230896
193.82299805 183.77018738 163.59298706 134.48847961 100.25473022]
[ 89.24715424 119.72219086 145.631073 163.59288025 172.54206848
172.54212952 163.59291077 145.63108826 119.72221375 89.24714661]
[ 73.36943054 98.42262268 119.7221756 134.48841858 141.84555054
141.84547424 134.4884491 119.72219849 98.42266083 73.36937714]
[ 54.69337463 73.36938477 89.24713135 100.2547226 105.73904419
105.73902893 100.25469208 89.24714661 73.36936951 54.69337845]]
[[ 38.6896286 51.90091324 63.13270569 70.91937256 74.79892731
74.79897308 70.91934967 63.13270187 51.90092087 38.68964386]
[ 51.90090179 69.62332916 84.69044495 95.13601685 100.34034729
100.34035492 95.13607025 84.69049072 69.62336731 51.90093994]
[ 63.13269424 84.69049835 103.0182724 115.72428131 122.05485535
122.05487823 115.72431183 103.01824188 84.69042969 63.1327095 ]
[ 70.91933441 95.13603973 115.72428894 129.99749756 137.10888672
137.10882568 129.99746704 115.72427368 95.13601685 70.91936493]
[ 74.79892731 100.34033203 122.05487061 137.10902405 144.60922241
144.60914612 137.10887146 122.05486298 100.34030151 74.79893494]
[ 74.79893494 100.34033203 122.05486298 137.10899353 144.60922241
144.60910034 137.1088562 122.05483246 100.34027863 74.79896545]
[ 70.91933441 95.13604736 115.72429657 129.99752808 137.1089325
137.10881042 129.99742126 115.72428131 95.1360321 70.91937256]
[ 63.13269806 84.69047546 103.01828003 115.72428894 122.05484772
122.05487061 115.72433472 103.01828003 84.69044495 63.13273239]
[ 51.90092468 69.62333679 84.69042206 95.13600922 100.3403244
100.34034729 95.13606262 84.69049072 69.62337494 51.90092087]
[ 38.68962097 51.90090942 63.13270187 70.91937256 74.7989502
74.79895782 70.91934204 63.13270187 51.90092468 38.68964005]]
[[ 38.68962479 51.90091324 63.13269806 70.9193573 74.79891968
74.79895782 70.9193573 63.13270569 51.90092087 38.68964386]
[ 51.90089417 69.6233139 84.69043732 95.13602448 100.34033966
100.34034729 95.13606262 84.69049835 69.62335968 51.90093613]
[ 63.13268661 84.69049835 103.0182724 115.72427368 122.05484772
122.05487823 115.72428894 103.01824188 84.69041443 63.13271332]
[ 70.91933441 95.13603973 115.7243042 129.99749756 137.10890198
137.10881042 129.99745178 115.72426605 95.13600922 70.91937256]
[ 74.79892731 100.34031677 122.05486298 137.10903931 144.60920715
144.60916138 137.10888672 122.05486298 100.34029388 74.79892731]
[ 74.79892731 100.34033966 122.05487823 137.10900879 144.60922241
144.6091156 137.10884094 122.05484009 100.34027863 74.79895782]
[ 70.91931915 95.13604736 115.72431183 129.99752808 137.1089325
137.10882568 129.99743652 115.72426605 95.13602448 70.91937256]
[ 63.13269424 84.69046783 103.01828003 115.72429657 122.05484009
122.05487061 115.72431946 103.01828003 84.69043732 63.13272858]
[ 51.90092087 69.62332916 84.69043732 95.13600922 100.3403244
100.34033966 95.13606262 84.69049072 69.62337494 51.90091324]
[ 38.68962479 51.90090561 63.13269806 70.91937256 74.79894257
74.79895782 70.91934204 63.13269806 51.90091324 38.68964005]]
[[ 54.693367 73.36938477 89.24713135 100.25470734 105.73904419
105.73900604 100.25468445 89.24715424 73.36937714 54.69337845]
[ 73.36940002 98.42264557 119.72216034 134.48846436 141.84558105
141.8454895 134.4884491 119.72221375 98.42263031 73.36940002]
[ 89.24715424 119.7221756 145.63110352 163.59284973 172.54206848
172.54211426 163.59294128 145.631073 119.72219086 89.24714661]
[ 100.25468445 134.4884491 163.5929718 183.77018738 193.82305908
193.82298279 183.77018738 163.59301758 134.4884491 100.25470734]
[ 105.73898315 141.84562683 172.54216003 193.82304382 204.4259491
204.42604065 193.82301331 172.54212952 141.84550476 105.73904419]
[ 105.73900604 141.84562683 172.54216003 193.82304382 204.42590332
204.42604065 193.82302856 172.542099 141.84553528 105.73904419]
[ 100.25469208 134.48851013 163.59298706 183.77017212 193.8230896
193.82299805 183.77020264 163.59292603 134.48847961 100.25471497]
[ 89.24714661 119.7221756 145.631073 163.59288025 172.54205322
172.54212952 163.59291077 145.631073 119.72219849 89.24715424]
[ 73.36940765 98.42263031 119.7221756 134.48843384 141.8455658
141.84542847 134.48843384 119.72219849 98.42266083 73.36936188]
[ 54.69337082 73.3693924 89.24713898 100.25470734 105.73903656
105.73901367 100.25467682 89.24712372 73.36936188 54.69335938]]
[[ 79.87863159 107.15453339 130.34359741 146.41996765 154.42982483
154.42979431 146.42007446 130.34376526 107.15454865 79.87863159]
[ 107.15450287 143.74440002 174.85195923 196.4178772 207.16259766
207.1625824 196.41783142 174.85194397 143.74435425 107.15454102]
[ 130.34367371 174.85191345 212.69116211 238.92424011 251.99429321
251.99435425 238.92437744 212.69128418 174.85194397 130.34371948]
[ 146.42002869 196.4178772 238.92428589 268.39273071 283.07492065
283.07479858 268.39279175 238.92425537 196.41775513 146.42002869]
[ 154.42984009 207.16249084 251.99432373 283.07476807 298.56030273
298.56033325 283.07510376 251.99433899 207.16256714 154.42977905]
[ 154.42980957 207.1625824 251.99429321 283.07470703 298.56027222
298.5602417 283.07498169 251.99430847 207.16253662 154.42979431]
[ 146.42004395 196.41786194 238.92433167 268.39282227 283.07485962
283.07476807 268.39273071 238.92425537 196.41777039 146.41999817]
[ 130.34365845 174.85188293 212.69110107 238.92414856 251.99420166
251.99427795 238.92431641 212.69129944 174.85195923 130.34375 ]
[ 107.15450287 143.74440002 174.85189819 196.41783142 207.16252136
207.16252136 196.41781616 174.85192871 143.74440002 107.15453339]
[ 79.87864685 107.15451813 130.34355164 146.41993713 154.42980957
154.42977905 146.42001343 130.34378052 107.15454865 79.87859344]]
[[ 102.014534 136.84909058 166.46455383 186.99601746 197.22546387
197.22532654 186.99588013 166.46453857 136.84922791 102.01451874]
[ 136.84907532 183.57879639 223.30688477 250.84901428 264.57147217
264.5713501 250.84901428 223.30673218 183.57881165 136.84919739]
[ 166.46447754 223.30690002 271.63238525 305.13491821 321.82684326
321.82714844 305.13500977 271.63244629 223.30674744 166.46463013]
[ 186.99597168 250.84907532 305.13494873 342.76980591 361.52053833
361.52050781 342.76977539 305.13494873 250.84901428 186.99597168]
[ 197.22544861 264.57168579 321.82705688 361.52059937 381.29696655
381.29696655 361.52047729 321.82699585 264.5713501 197.22537231]
[ 197.22541809 264.57168579 321.8270874 361.52069092 381.29705811
381.29705811 361.52041626 321.82696533 264.57138062 197.22537231]
[ 186.99595642 250.84899902 305.13491821 342.76983643 361.52059937
361.52050781 342.76980591 305.13494873 250.84899902 186.9959259 ]
[ 166.4644165 223.30690002 271.63232422 305.13494873 321.8269043
321.82696533 305.13494873 271.63226318 223.30671692 166.46455383]
[ 136.84902954 183.57879639 223.30679321 250.84902954 264.57150269
264.57125854 250.84902954 223.30674744 183.5788269 136.84922791]
[ 102.01451874 136.84910583 166.46452332 186.99594116 197.22541809
197.22529602 186.99588013 166.46456909 136.84922791 102.01451874]]
[[ 109.85939789 147.37295532 179.26556396 201.37585449 212.3918457
212.39195251 201.37597656 179.26565552 147.37284851 109.85943604]
[ 147.37289429 197.69589233 240.47900391 270.13916016 284.91687012
284.91677856 270.13912964 240.47912598 197.69593811 147.37290955]
[ 179.26559448 240.47903442 292.52093506 328.59942627 346.57531738
346.57531738 328.59960938 292.52084351 240.47906494 179.26560974]
[ 201.37588501 270.13912964 328.5994873 369.12835693 389.32107544
389.32104492 369.12860107 328.59976196 270.13922119 201.37582397]
[ 212.39186096 284.91668701 346.57525635 389.32098389 410.61868286
410.61865234 389.32144165 346.57553101 284.9168396 212.391922 ]
[ 212.39189148 284.91671753 346.57522583 389.32104492 410.6187439
410.61862183 389.32138062 346.57553101 284.9168396 212.39187622]
[ 201.37590027 270.13916016 328.59954834 369.128479 389.3213501
389.32128906 369.12857056 328.59976196 270.13922119 201.37586975]
[ 179.26557922 240.47901917 292.52087402 328.59945679 346.57528687
346.5753479 328.59963989 292.52078247 240.47909546 179.265625 ]
[ 147.37287903 197.69586182 240.47901917 270.13916016 284.91677856
284.91680908 270.13919067 240.47909546 197.69593811 147.37290955]
[ 109.85939026 147.37289429 179.26556396 201.37582397 212.39178467
212.39190674 201.37593079 179.26564026 147.37284851 109.85940552]]]
In [25]:
truth_boolean = np.isclose(tensorfsl, MATLAB_np_array, rtol = 1e-4)
print truth_boolean;
[[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
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[[ True True True True True True]
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[ True True True True True True]]
[[ True True True True True True]
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[[ True True True True True True]
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[[ True True True True True True]
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[ True True True True True True]
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[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
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[ True True True True True True]]]
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[[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]]
[[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
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[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
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[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
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[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]]
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[[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
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[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
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...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]]
In [26]:
correct_number = np.sum(truth_boolean == True); # Total possible = 6000
In [27]:
# Percent Correct (at 1e-4 level) for uniform data:
print correct_number / 6000.0;
1.0
In [28]:
## LINE:
tensorfsl = tensorFSLTEST[1];
MATLAB_output = nib.load("/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb/test_MATLAB_line/dogsig1_norm_gausig2.3/test_MATLAB_norm_tensorfsl_dogsig1_gausig2.3.nii")
In [29]:
MATLAB_np_array = MATLAB_output.get_data()
print MATLAB_np_array.shape
(10, 10, 10, 6)
In [30]:
print tensorfsl[:, :, :, 0];
[[[ 5.26199848e-01 6.81899421e-01 7.43445967e-01 6.81924586e-01
5.26244011e-01 3.41676162e-01 1.86653157e-01 8.57955680e-02
3.31638995e-02 1.04143515e-02]
[ 6.81899421e-01 8.83669618e-01 9.63427448e-01 8.83702228e-01
6.81956652e-01 4.42776220e-01 2.41882777e-01 1.11181993e-01
4.29769106e-02 1.34958996e-02]
[ 7.43445967e-01 9.63427448e-01 1.05038403e+00 9.63463002e-01
7.43508363e-01 4.82740098e-01 2.63714516e-01 1.21217004e-01
4.68558996e-02 1.47140060e-02]
[ 6.81924586e-01 8.83702228e-01 9.63463002e-01 8.83734840e-01
6.81981819e-01 4.42792560e-01 2.41891703e-01 1.11186096e-01
4.29784966e-02 1.34963976e-02]
[ 5.26244011e-01 6.81956652e-01 7.43508363e-01 6.81981819e-01
5.26288177e-01 3.41704839e-01 1.86668822e-01 8.58027687e-02
3.31666829e-02 1.04152256e-02]
[ 3.41676162e-01 4.42776220e-01 4.82740098e-01 4.42792560e-01
3.41704839e-01 2.21859809e-01 1.21199071e-01 5.57094422e-02
2.15342400e-02 6.76232735e-03]
[ 1.86653157e-01 2.41882777e-01 2.63714516e-01 2.41891703e-01
1.86668822e-01 1.21199071e-01 6.62094452e-02 3.04333298e-02
1.17638700e-02 3.69416986e-03]
[ 8.57955680e-02 1.11181993e-01 1.21217004e-01 1.11186096e-01
8.58027687e-02 5.57094422e-02 3.04333298e-02 1.39887527e-02
5.40729085e-03 1.69803398e-03]
[ 3.31638995e-02 4.29769106e-02 4.68558996e-02 4.29784966e-02
3.31666829e-02 2.15342400e-02 1.17638700e-02 5.40729085e-03
2.09016449e-03 6.56367570e-04]
[ 1.04143515e-02 1.34958996e-02 1.47140060e-02 1.34963976e-02
1.04152256e-02 6.76232735e-03 3.69416986e-03 1.69803398e-03
6.56367570e-04 2.06116977e-04]]
[[ 4.88624641e-01 6.33205925e-01 6.90357518e-01 6.33229293e-01
4.88665650e-01 3.17277535e-01 1.73324512e-01 7.96690242e-02
3.07957108e-02 9.67067702e-03]
[ 6.33205925e-01 8.20567982e-01 8.94630406e-01 8.20598264e-01
6.33259069e-01 4.11158178e-01 2.24610261e-01 1.03242640e-01
3.99079884e-02 1.25321759e-02]
[ 6.90357518e-01 8.94630406e-01 9.75377525e-01 8.94663421e-01
6.90415458e-01 4.48268296e-01 2.44883024e-01 1.12561064e-01
4.35099844e-02 1.36632990e-02]
[ 6.33229293e-01 8.20598264e-01 8.94663421e-01 8.20628547e-01
6.33282439e-01 4.11173352e-01 2.24618549e-01 1.03246450e-01
3.99094611e-02 1.25326384e-02]
[ 4.88665650e-01 6.33259069e-01 6.90415458e-01 6.33282439e-01
4.88706663e-01 3.17304164e-01 1.73339059e-01 7.96757107e-02
3.07982954e-02 9.67148866e-03]
[ 3.17277535e-01 4.11158178e-01 4.48268296e-01 4.11173352e-01
3.17304164e-01 2.06017104e-01 1.12544413e-01 5.17313076e-02
1.99965094e-02 6.27943888e-03]
[ 1.73324512e-01 2.24610261e-01 2.44883024e-01 2.24618549e-01
1.73339059e-01 1.12544413e-01 6.14815207e-02 2.82601277e-02
1.09238280e-02 3.43037420e-03]
[ 7.96690242e-02 1.03242640e-01 1.12561064e-01 1.03246450e-01
7.96757107e-02 5.17313076e-02 2.82601277e-02 1.29898351e-02
5.02116359e-03 1.57677967e-03]
[ 3.07957108e-02 3.99079884e-02 4.35099844e-02 3.99094611e-02
3.07982954e-02 1.99965094e-02 1.09238280e-02 5.02116359e-03
1.94090871e-03 6.09497254e-04]
[ 9.67067702e-03 1.25321759e-02 1.36632990e-02 1.25326384e-02
9.67148866e-03 6.27943888e-03 3.43037420e-03 1.57677967e-03
6.09497254e-04 1.91398445e-04]]
[[ 3.82598975e-01 4.95807863e-01 5.40558250e-01 4.95826160e-01
3.82631086e-01 2.48432128e-01 1.35715181e-01 6.23818059e-02
2.41134124e-02 7.57225655e-03]
[ 4.95807863e-01 6.42514626e-01 7.00506398e-01 6.42538337e-01
4.95849476e-01 3.21941801e-01 1.75872540e-01 8.08402313e-02
3.12484357e-02 9.81284471e-03]
[ 5.40558250e-01 7.00506398e-01 7.63732363e-01 7.00532249e-01
5.40603618e-01 3.50999470e-01 1.91746359e-01 8.81366699e-02
3.40688420e-02 1.06985277e-02]
[ 4.95826160e-01 6.42538337e-01 7.00532249e-01 6.42562049e-01
4.95867774e-01 3.21953682e-01 1.75879030e-01 8.08432146e-02
3.12495888e-02 9.81320684e-03]
[ 3.82631086e-01 4.95849476e-01 5.40603618e-01 4.95867774e-01
3.82663199e-01 2.48452978e-01 1.35726571e-01 6.23870415e-02
2.41154362e-02 7.57289207e-03]
[ 2.48432128e-01 3.21941801e-01 3.50999470e-01 3.21953682e-01
2.48452978e-01 1.61313873e-01 8.81236315e-02 4.05062370e-02
1.56575077e-02 4.91687626e-03]
[ 1.35715181e-01 1.75872540e-01 1.91746359e-01 1.75879030e-01
1.35726571e-01 8.81236315e-02 4.81407715e-02 2.21280202e-02
8.55348889e-03 2.68602434e-03]
[ 6.23818059e-02 8.08402313e-02 8.81366699e-02 8.08432146e-02
6.23870415e-02 4.05062370e-02 2.21280202e-02 1.01711972e-02
3.93163158e-03 1.23463750e-03]
[ 2.41134124e-02 3.12484357e-02 3.40688420e-02 3.12495888e-02
2.41154362e-02 1.56575077e-02 8.55348889e-03 3.93163158e-03
1.51975490e-03 4.77243699e-04]
[ 7.57225655e-03 9.81284471e-03 1.06985277e-02 9.81320684e-03
7.57289207e-03 4.91687626e-03 2.68602434e-03 1.23463750e-03
4.77243699e-04 1.49867289e-04]]
[[ 2.61967858e-01 3.39482678e-01 3.70123545e-01 3.39495206e-01
2.61989844e-01 1.70102998e-01 9.29250138e-02 4.27132039e-02
1.65106010e-02 5.18477039e-03]
[ 3.39482678e-01 4.39933699e-01 4.79641025e-01 4.39949935e-01
3.39511170e-01 2.20435519e-01 1.20421002e-01 5.53518006e-02
2.13959951e-02 6.71891482e-03]
[ 3.70123545e-01 4.79641025e-01 5.22932232e-01 4.79658726e-01
3.70154609e-01 2.40331483e-01 1.31289902e-01 6.03477165e-02
2.33271445e-02 7.32534735e-03]
[ 3.39495206e-01 4.39949935e-01 4.79658726e-01 4.39966170e-01
3.39523699e-01 2.20443654e-01 1.20425446e-01 5.53538432e-02
2.13967847e-02 6.71916277e-03]
[ 2.61989844e-01 3.39511170e-01 3.70154609e-01 3.39523699e-01
2.62011832e-01 1.70117275e-01 9.29328128e-02 4.27167887e-02
1.65119867e-02 5.18520553e-03]
[ 1.70102998e-01 2.20435519e-01 2.40331483e-01 2.20443654e-01
1.70117275e-01 1.10452596e-01 6.03387896e-02 2.77348684e-02
1.07207913e-02 3.36661522e-03]
[ 9.29250138e-02 1.20421002e-01 1.31289902e-01 1.20425446e-01
9.29328128e-02 6.03387896e-02 3.29622810e-02 1.51511909e-02
5.85662617e-03 1.83913728e-03]
[ 4.27132039e-02 5.53518006e-02 6.03477165e-02 5.53538432e-02
4.27167887e-02 2.77348684e-02 1.51511909e-02 6.96428096e-03
2.69201217e-03 8.45363841e-04]
[ 1.65106010e-02 2.13959951e-02 2.33271445e-02 2.13967847e-02
1.65119867e-02 1.07207913e-02 5.85662617e-03 2.69201217e-03
1.04058547e-03 3.26771675e-04]
[ 5.18477039e-03 6.71891482e-03 7.32534735e-03 6.71916277e-03
5.18520553e-03 3.36661522e-03 1.83913728e-03 8.45363841e-04
3.26771675e-04 1.02615048e-04]]
[[ 1.85313927e-01 2.40147275e-01 2.61822370e-01 2.40156137e-01
1.85329480e-01 1.20329473e-01 6.57343956e-02 3.02149714e-02
1.16794643e-02 3.66766426e-03]
[ 2.40147275e-01 3.11205502e-01 3.39294136e-01 3.11216986e-01
2.40167430e-01 1.55934287e-01 8.51848332e-02 3.91554118e-02
1.51353522e-02 4.75290547e-03]
[ 2.61822370e-01 3.39294136e-01 3.69917981e-01 3.39306657e-01
2.61844344e-01 1.70008527e-01 9.28734042e-02 4.26894821e-02
1.65014317e-02 5.18189096e-03]
[ 2.40156137e-01 3.11216986e-01 3.39306657e-01 3.11228471e-01
2.40176293e-01 1.55940041e-01 8.51879769e-02 3.91568568e-02
1.51359108e-02 4.75308087e-03]
[ 1.85329480e-01 2.40167430e-01 2.61844344e-01 2.40176293e-01
1.85345034e-01 1.20339572e-01 6.57399125e-02 3.02175073e-02
1.16804446e-02 3.66797208e-03]
[ 1.20329473e-01 1.55934287e-01 1.70008527e-01 1.55940041e-01
1.20339572e-01 7.81332653e-02 4.26831670e-02 1.96194192e-02
7.58380019e-03 2.38151615e-03]
[ 6.57343956e-02 8.51848332e-02 9.28734042e-02 8.51879769e-02
6.57399125e-02 4.26831670e-02 2.33172484e-02 1.07178287e-02
4.14292950e-03 1.30099070e-03]
[ 3.02149714e-02 3.91554118e-02 4.26894821e-02 3.91568568e-02
3.02175073e-02 1.96194192e-02 1.07178287e-02 4.92647545e-03
1.90430742e-03 5.98003482e-04]
[ 1.16794643e-02 1.51353522e-02 1.65014317e-02 1.51359108e-02
1.16804446e-02 7.58380019e-03 4.14292950e-03 1.90430742e-03
7.36101667e-04 2.31155618e-04]
[ 3.66766426e-03 4.75290547e-03 5.18189096e-03 4.75308087e-03
3.66797208e-03 2.38151615e-03 1.30099070e-03 5.98003482e-04
2.31155618e-04 7.25890479e-05]]
[[ 1.85313927e-01 2.40147275e-01 2.61822370e-01 2.40156137e-01
1.85329480e-01 1.20329473e-01 6.57343956e-02 3.02149714e-02
1.16794643e-02 3.66766426e-03]
[ 2.40147275e-01 3.11205502e-01 3.39294136e-01 3.11216986e-01
2.40167430e-01 1.55934287e-01 8.51848332e-02 3.91554118e-02
1.51353522e-02 4.75290547e-03]
[ 2.61822370e-01 3.39294136e-01 3.69917981e-01 3.39306657e-01
2.61844344e-01 1.70008527e-01 9.28734042e-02 4.26894821e-02
1.65014317e-02 5.18189096e-03]
[ 2.40156137e-01 3.11216986e-01 3.39306657e-01 3.11228471e-01
2.40176293e-01 1.55940041e-01 8.51879769e-02 3.91568568e-02
1.51359108e-02 4.75308087e-03]
[ 1.85329480e-01 2.40167430e-01 2.61844344e-01 2.40176293e-01
1.85345034e-01 1.20339572e-01 6.57399125e-02 3.02175073e-02
1.16804446e-02 3.66797208e-03]
[ 1.20329473e-01 1.55934287e-01 1.70008527e-01 1.55940041e-01
1.20339572e-01 7.81332653e-02 4.26831670e-02 1.96194192e-02
7.58380019e-03 2.38151615e-03]
[ 6.57343956e-02 8.51848332e-02 9.28734042e-02 8.51879769e-02
6.57399125e-02 4.26831670e-02 2.33172484e-02 1.07178287e-02
4.14292950e-03 1.30099070e-03]
[ 3.02149714e-02 3.91554118e-02 4.26894821e-02 3.91568568e-02
3.02175073e-02 1.96194192e-02 1.07178287e-02 4.92647545e-03
1.90430742e-03 5.98003482e-04]
[ 1.16794643e-02 1.51353522e-02 1.65014317e-02 1.51359108e-02
1.16804446e-02 7.58380019e-03 4.14292950e-03 1.90430742e-03
7.36101667e-04 2.31155618e-04]
[ 3.66766426e-03 4.75290547e-03 5.18189096e-03 4.75308087e-03
3.66797208e-03 2.38151615e-03 1.30099070e-03 5.98003482e-04
2.31155618e-04 7.25890479e-05]]
[[ 2.61967858e-01 3.39482678e-01 3.70123545e-01 3.39495206e-01
2.61989844e-01 1.70102998e-01 9.29250138e-02 4.27132039e-02
1.65106010e-02 5.18477039e-03]
[ 3.39482678e-01 4.39933699e-01 4.79641025e-01 4.39949935e-01
3.39511170e-01 2.20435519e-01 1.20421002e-01 5.53518006e-02
2.13959951e-02 6.71891482e-03]
[ 3.70123545e-01 4.79641025e-01 5.22932232e-01 4.79658726e-01
3.70154609e-01 2.40331483e-01 1.31289902e-01 6.03477165e-02
2.33271445e-02 7.32534735e-03]
[ 3.39495206e-01 4.39949935e-01 4.79658726e-01 4.39966170e-01
3.39523699e-01 2.20443654e-01 1.20425446e-01 5.53538432e-02
2.13967847e-02 6.71916277e-03]
[ 2.61989844e-01 3.39511170e-01 3.70154609e-01 3.39523699e-01
2.62011832e-01 1.70117275e-01 9.29328128e-02 4.27167887e-02
1.65119867e-02 5.18520553e-03]
[ 1.70102998e-01 2.20435519e-01 2.40331483e-01 2.20443654e-01
1.70117275e-01 1.10452596e-01 6.03387896e-02 2.77348684e-02
1.07207913e-02 3.36661522e-03]
[ 9.29250138e-02 1.20421002e-01 1.31289902e-01 1.20425446e-01
9.29328128e-02 6.03387896e-02 3.29622810e-02 1.51511909e-02
5.85662617e-03 1.83913728e-03]
[ 4.27132039e-02 5.53518006e-02 6.03477165e-02 5.53538432e-02
4.27167887e-02 2.77348684e-02 1.51511909e-02 6.96428096e-03
2.69201217e-03 8.45363841e-04]
[ 1.65106010e-02 2.13959951e-02 2.33271445e-02 2.13967847e-02
1.65119867e-02 1.07207913e-02 5.85662617e-03 2.69201217e-03
1.04058547e-03 3.26771675e-04]
[ 5.18477039e-03 6.71891482e-03 7.32534735e-03 6.71916277e-03
5.18520553e-03 3.36661522e-03 1.83913728e-03 8.45363841e-04
3.26771675e-04 1.02615048e-04]]
[[ 3.82598975e-01 4.95807863e-01 5.40558250e-01 4.95826160e-01
3.82631086e-01 2.48432128e-01 1.35715181e-01 6.23818059e-02
2.41134124e-02 7.57225655e-03]
[ 4.95807863e-01 6.42514626e-01 7.00506398e-01 6.42538337e-01
4.95849476e-01 3.21941801e-01 1.75872540e-01 8.08402313e-02
3.12484357e-02 9.81284471e-03]
[ 5.40558250e-01 7.00506398e-01 7.63732363e-01 7.00532249e-01
5.40603618e-01 3.50999470e-01 1.91746359e-01 8.81366699e-02
3.40688420e-02 1.06985277e-02]
[ 4.95826160e-01 6.42538337e-01 7.00532249e-01 6.42562049e-01
4.95867774e-01 3.21953682e-01 1.75879030e-01 8.08432146e-02
3.12495888e-02 9.81320684e-03]
[ 3.82631086e-01 4.95849476e-01 5.40603618e-01 4.95867774e-01
3.82663199e-01 2.48452978e-01 1.35726571e-01 6.23870415e-02
2.41154362e-02 7.57289207e-03]
[ 2.48432128e-01 3.21941801e-01 3.50999470e-01 3.21953682e-01
2.48452978e-01 1.61313873e-01 8.81236315e-02 4.05062370e-02
1.56575077e-02 4.91687626e-03]
[ 1.35715181e-01 1.75872540e-01 1.91746359e-01 1.75879030e-01
1.35726571e-01 8.81236315e-02 4.81407715e-02 2.21280202e-02
8.55348889e-03 2.68602434e-03]
[ 6.23818059e-02 8.08402313e-02 8.81366699e-02 8.08432146e-02
6.23870415e-02 4.05062370e-02 2.21280202e-02 1.01711972e-02
3.93163158e-03 1.23463750e-03]
[ 2.41134124e-02 3.12484357e-02 3.40688420e-02 3.12495888e-02
2.41154362e-02 1.56575077e-02 8.55348889e-03 3.93163158e-03
1.51975490e-03 4.77243699e-04]
[ 7.57225655e-03 9.81284471e-03 1.06985277e-02 9.81320684e-03
7.57289207e-03 4.91687626e-03 2.68602434e-03 1.23463750e-03
4.77243699e-04 1.49867289e-04]]
[[ 4.88624641e-01 6.33205925e-01 6.90357518e-01 6.33229293e-01
4.88665650e-01 3.17277535e-01 1.73324512e-01 7.96690242e-02
3.07957108e-02 9.67067702e-03]
[ 6.33205925e-01 8.20567982e-01 8.94630406e-01 8.20598264e-01
6.33259069e-01 4.11158178e-01 2.24610261e-01 1.03242640e-01
3.99079884e-02 1.25321759e-02]
[ 6.90357518e-01 8.94630406e-01 9.75377525e-01 8.94663421e-01
6.90415458e-01 4.48268296e-01 2.44883024e-01 1.12561064e-01
4.35099844e-02 1.36632990e-02]
[ 6.33229293e-01 8.20598264e-01 8.94663421e-01 8.20628547e-01
6.33282439e-01 4.11173352e-01 2.24618549e-01 1.03246450e-01
3.99094611e-02 1.25326384e-02]
[ 4.88665650e-01 6.33259069e-01 6.90415458e-01 6.33282439e-01
4.88706663e-01 3.17304164e-01 1.73339059e-01 7.96757107e-02
3.07982954e-02 9.67148866e-03]
[ 3.17277535e-01 4.11158178e-01 4.48268296e-01 4.11173352e-01
3.17304164e-01 2.06017104e-01 1.12544413e-01 5.17313076e-02
1.99965094e-02 6.27943888e-03]
[ 1.73324512e-01 2.24610261e-01 2.44883024e-01 2.24618549e-01
1.73339059e-01 1.12544413e-01 6.14815207e-02 2.82601277e-02
1.09238280e-02 3.43037420e-03]
[ 7.96690242e-02 1.03242640e-01 1.12561064e-01 1.03246450e-01
7.96757107e-02 5.17313076e-02 2.82601277e-02 1.29898351e-02
5.02116359e-03 1.57677967e-03]
[ 3.07957108e-02 3.99079884e-02 4.35099844e-02 3.99094611e-02
3.07982954e-02 1.99965094e-02 1.09238280e-02 5.02116359e-03
1.94090871e-03 6.09497254e-04]
[ 9.67067702e-03 1.25321759e-02 1.36632990e-02 1.25326384e-02
9.67148866e-03 6.27943888e-03 3.43037420e-03 1.57677967e-03
6.09497254e-04 1.91398445e-04]]
[[ 5.26199848e-01 6.81899421e-01 7.43445967e-01 6.81924586e-01
5.26244011e-01 3.41676162e-01 1.86653157e-01 8.57955680e-02
3.31638995e-02 1.04143515e-02]
[ 6.81899421e-01 8.83669618e-01 9.63427448e-01 8.83702228e-01
6.81956652e-01 4.42776220e-01 2.41882777e-01 1.11181993e-01
4.29769106e-02 1.34958996e-02]
[ 7.43445967e-01 9.63427448e-01 1.05038403e+00 9.63463002e-01
7.43508363e-01 4.82740098e-01 2.63714516e-01 1.21217004e-01
4.68558996e-02 1.47140060e-02]
[ 6.81924586e-01 8.83702228e-01 9.63463002e-01 8.83734840e-01
6.81981819e-01 4.42792560e-01 2.41891703e-01 1.11186096e-01
4.29784966e-02 1.34963976e-02]
[ 5.26244011e-01 6.81956652e-01 7.43508363e-01 6.81981819e-01
5.26288177e-01 3.41704839e-01 1.86668822e-01 8.58027687e-02
3.31666829e-02 1.04152256e-02]
[ 3.41676162e-01 4.42776220e-01 4.82740098e-01 4.42792560e-01
3.41704839e-01 2.21859809e-01 1.21199071e-01 5.57094422e-02
2.15342400e-02 6.76232735e-03]
[ 1.86653157e-01 2.41882777e-01 2.63714516e-01 2.41891703e-01
1.86668822e-01 1.21199071e-01 6.62094452e-02 3.04333298e-02
1.17638700e-02 3.69416986e-03]
[ 8.57955680e-02 1.11181993e-01 1.21217004e-01 1.11186096e-01
8.58027687e-02 5.57094422e-02 3.04333298e-02 1.39887527e-02
5.40729085e-03 1.69803398e-03]
[ 3.31638995e-02 4.29769106e-02 4.68558996e-02 4.29784966e-02
3.31666829e-02 2.15342400e-02 1.17638700e-02 5.40729085e-03
2.09016449e-03 6.56367570e-04]
[ 1.04143515e-02 1.34958996e-02 1.47140060e-02 1.34963976e-02
1.04152256e-02 6.76232735e-03 3.69416986e-03 1.69803398e-03
6.56367570e-04 2.06116977e-04]]]
In [31]:
print MATLAB_np_array[:, :, :, 0];
[[[ 5.26199698e-01 6.81899428e-01 7.43445933e-01 6.81924462e-01
5.26243806e-01 3.41676176e-01 1.86653152e-01 8.57955441e-02
3.31639014e-02 1.04143489e-02]
[ 6.81899488e-01 8.83669734e-01 9.63427186e-01 8.83702159e-01
6.81956470e-01 4.42776203e-01 2.41882831e-01 1.11181967e-01
4.29769158e-02 1.34958960e-02]
[ 7.43445933e-01 9.63426888e-01 1.05038357e+00 9.63462889e-01
7.43508041e-01 4.82739955e-01 2.63714552e-01 1.21216975e-01
4.68559042e-02 1.47140063e-02]
[ 6.81924582e-01 8.83702099e-01 9.63462710e-01 8.83734524e-01
6.81981742e-01 4.42792594e-01 2.41891727e-01 1.11186072e-01
4.29784879e-02 1.34963933e-02]
[ 5.26243806e-01 6.81956649e-01 7.43508160e-01 6.81981623e-01
5.26287913e-01 3.41704875e-01 1.86668798e-01 8.58027712e-02
3.31666842e-02 1.04152225e-02]
[ 3.41676295e-01 4.42776114e-01 4.82740015e-01 4.42792535e-01
3.41704756e-01 2.21859828e-01 1.21199079e-01 5.57094552e-02
2.15342361e-02 6.76232576e-03]
[ 1.86653122e-01 2.41882816e-01 2.63714463e-01 2.41891682e-01
1.86668858e-01 1.21199057e-01 6.62094355e-02 3.04333232e-02
1.17638698e-02 3.69416899e-03]
[ 8.57955664e-02 1.11181974e-01 1.21216975e-01 1.11186057e-01
8.58027413e-02 5.57094514e-02 3.04333232e-02 1.39887510e-02
5.40729146e-03 1.69803412e-03]
[ 3.31638977e-02 4.29769009e-02 4.68558893e-02 4.29784842e-02
3.31666805e-02 2.15342361e-02 1.17638698e-02 5.40729053e-03
2.09016446e-03 6.56367571e-04]
[ 1.04143480e-02 1.34958960e-02 1.47140054e-02 1.34963943e-02
1.04152234e-02 6.76232716e-03 3.69416899e-03 1.69803423e-03
6.56367687e-04 2.06116951e-04]]
[[ 4.88624603e-01 6.33205712e-01 6.90357208e-01 6.33229077e-01
4.88665640e-01 3.17277610e-01 1.73324466e-01 7.96690509e-02
3.07957064e-02 9.67067759e-03]
[ 6.33205712e-01 8.20567489e-01 8.94630194e-01 8.20598066e-01
6.33258998e-01 4.11158204e-01 2.24610269e-01 1.03242606e-01
3.99079882e-02 1.25321737e-02]
[ 6.90357029e-01 8.94630253e-01 9.75377083e-01 8.94663095e-01
6.90415382e-01 4.48268235e-01 2.44883031e-01 1.12561040e-01
4.35099900e-02 1.36632966e-02]
[ 6.33228958e-01 8.20597827e-01 8.94663095e-01 8.20628583e-01
6.33282363e-01 4.11173403e-01 2.24618554e-01 1.03246413e-01
3.99094559e-02 1.25326356e-02]
[ 4.88665581e-01 6.33258879e-01 6.90415204e-01 6.33282304e-01
4.88706678e-01 3.17304134e-01 1.73339009e-01 7.96757340e-02
3.07982937e-02 9.67149250e-03]
[ 3.17277551e-01 4.11158144e-01 4.48268145e-01 4.11173373e-01
3.17304134e-01 2.06017062e-01 1.12544395e-01 5.17313033e-02
1.99965183e-02 6.27943687e-03]
[ 1.73324510e-01 2.24610239e-01 2.44883060e-01 2.24618569e-01
1.73339054e-01 1.12544373e-01 6.14815243e-02 2.82601379e-02
1.09238261e-02 3.43037490e-03]
[ 7.96690434e-02 1.03242606e-01 1.12561032e-01 1.03246428e-01
7.96756893e-02 5.17312996e-02 2.82601304e-02 1.29898321e-02
5.02116233e-03 1.57678023e-03]
[ 3.07957139e-02 3.99079770e-02 4.35099825e-02 3.99094485e-02
3.07982918e-02 1.99965127e-02 1.09238261e-02 5.02116187e-03
1.94090896e-03 6.09497481e-04]
[ 9.67067759e-03 1.25321764e-02 1.36632947e-02 1.25326337e-02
9.67148971e-03 6.27943780e-03 3.43037397e-03 1.57678023e-03
6.09497365e-04 1.91398445e-04]]
[[ 3.82598817e-01 4.95807707e-01 5.40558159e-01 4.95826066e-01
3.82631004e-01 2.48432085e-01 1.35715127e-01 6.23817965e-02
2.41134092e-02 7.57225556e-03]
[ 4.95807648e-01 6.42514348e-01 7.00506032e-01 6.42538071e-01
4.95849371e-01 3.21941644e-01 1.75872460e-01 8.08402076e-02
3.12484335e-02 9.81284678e-03]
[ 5.40558219e-01 7.00506151e-01 7.63732433e-01 7.00532019e-01
5.40603518e-01 3.50999385e-01 1.91746250e-01 8.81366581e-02
3.40688378e-02 1.06985224e-02]
[ 4.95825946e-01 6.42538071e-01 7.00532138e-01 6.42561913e-01
4.95867640e-01 3.21953654e-01 1.75878882e-01 8.08432102e-02
3.12495846e-02 9.81321093e-03]
[ 3.82630944e-01 4.95849282e-01 5.40603638e-01 4.95867610e-01
3.82663131e-01 2.48452917e-01 1.35726511e-01 6.23870343e-02
2.41154358e-02 7.57289166e-03]
[ 2.48432130e-01 3.21941644e-01 3.50999326e-01 3.21953624e-01
2.48452902e-01 1.61313832e-01 8.81236419e-02 4.05062288e-02
1.56575087e-02 4.91687609e-03]
[ 1.35715172e-01 1.75872445e-01 1.91746309e-01 1.75879002e-01
1.35726511e-01 8.81235972e-02 4.81407531e-02 2.21280195e-02
8.55349004e-03 2.68602418e-03]
[ 6.23818114e-02 8.08402002e-02 8.81366432e-02 8.08432028e-02
6.23870306e-02 4.05062363e-02 2.21280139e-02 1.01711974e-02
3.93162994e-03 1.23463734e-03]
[ 2.41134074e-02 3.12484391e-02 3.40688378e-02 3.12495865e-02
2.41154395e-02 1.56575087e-02 8.55348818e-03 3.93162994e-03
1.51975523e-03 4.77243651e-04]
[ 7.57225603e-03 9.81284492e-03 1.06985206e-02 9.81320720e-03
7.57289212e-03 4.91687376e-03 2.68602418e-03 1.23463746e-03
4.77243739e-04 1.49867279e-04]]
[[ 2.61967838e-01 3.39482516e-01 3.70123446e-01 3.39495182e-01
2.61989623e-01 1.70102999e-01 9.29250121e-02 4.27132025e-02
1.65106002e-02 5.18476777e-03]
[ 3.39482605e-01 4.39933717e-01 4.79640901e-01 4.39949840e-01
3.39511126e-01 2.20435649e-01 1.20420977e-01 5.53517975e-02
2.13960018e-02 6.71891402e-03]
[ 3.70123357e-01 4.79640841e-01 5.22931993e-01 4.79658663e-01
3.70154560e-01 2.40331396e-01 1.31289899e-01 6.03477210e-02
2.33271439e-02 7.32534798e-03]
[ 3.39495152e-01 4.39949900e-01 4.79658604e-01 4.39966083e-01
3.39523613e-01 2.20443740e-01 1.20425425e-01 5.53538464e-02
2.13967897e-02 6.71916269e-03]
[ 2.61989772e-01 3.39511096e-01 3.70154530e-01 3.39523733e-01
2.62011737e-01 1.70117214e-01 9.29328352e-02 4.27167900e-02
1.65119823e-02 5.18520502e-03]
[ 1.70102969e-01 2.20435604e-01 2.40331471e-01 2.20443681e-01
1.70117214e-01 1.10452630e-01 6.03387840e-02 2.77348701e-02
1.07207922e-02 3.36661679e-03]
[ 9.29250121e-02 1.20420977e-01 1.31289870e-01 1.20425433e-01
9.29327905e-02 6.03387989e-02 3.29622701e-02 1.51511924e-02
5.85662574e-03 1.83913705e-03]
[ 4.27131951e-02 5.53517789e-02 6.03477135e-02 5.53538315e-02
4.27167863e-02 2.77348720e-02 1.51511906e-02 6.96428167e-03
2.69201188e-03 8.45363596e-04]
[ 1.65105984e-02 2.13959981e-02 2.33271401e-02 2.13967878e-02
1.65119804e-02 1.07207922e-02 5.85662620e-03 2.69201281e-03
1.04058522e-03 3.26771667e-04]
[ 5.18476684e-03 6.71891402e-03 7.32534844e-03 6.71916315e-03
5.18520596e-03 3.36661632e-03 1.83913729e-03 8.45363655e-04
3.26771638e-04 1.02615042e-04]]
[[ 1.85313910e-01 2.40147278e-01 2.61822253e-01 2.40156114e-01
1.85329482e-01 1.20329432e-01 6.57343715e-02 3.02149672e-02
1.16794668e-02 3.66766355e-03]
[ 2.40147248e-01 3.11205447e-01 3.39293897e-01 3.11216891e-01
2.40167409e-01 1.55934259e-01 8.51848125e-02 3.91554087e-02
1.51353525e-02 4.75290511e-03]
[ 2.61822343e-01 3.39293987e-01 3.69917899e-01 3.39306504e-01
2.61844218e-01 1.70008659e-01 9.28734243e-02 4.26894799e-02
1.65014379e-02 5.18189231e-03]
[ 2.40156129e-01 3.11216891e-01 3.39306504e-01 3.11228484e-01
2.40176305e-01 1.55940056e-01 8.51879939e-02 3.91568579e-02
1.51359104e-02 4.75308066e-03]
[ 1.85329482e-01 2.40167424e-01 2.61844158e-01 2.40176275e-01
1.85345054e-01 1.20339535e-01 6.57398924e-02 3.02175041e-02
1.16804419e-02 3.66797205e-03]
[ 1.20329447e-01 1.55934215e-01 1.70008585e-01 1.55940071e-01
1.20339528e-01 7.81332105e-02 4.26831655e-02 1.96194183e-02
7.58379977e-03 2.38151615e-03]
[ 6.57343641e-02 8.51848125e-02 9.28733945e-02 8.51879716e-02
6.57398999e-02 4.26831767e-02 2.33172476e-02 1.07178288e-02
4.14292840e-03 1.30099093e-03]
[ 3.02149653e-02 3.91554013e-02 4.26894799e-02 3.91568579e-02
3.02175079e-02 1.96194164e-02 1.07178250e-02 4.92647383e-03
1.90430798e-03 5.98003331e-04]
[ 1.16794650e-02 1.51353488e-02 1.65014360e-02 1.51359159e-02
1.16804382e-02 7.58380024e-03 4.14292747e-03 1.90430752e-03
7.36101880e-04 2.31155645e-04]
[ 3.66766402e-03 4.75290604e-03 5.18189138e-03 4.75307973e-03
3.66797158e-03 2.38151662e-03 1.30099093e-03 5.98003506e-04
2.31155645e-04 7.25890422e-05]]
[[ 1.85313910e-01 2.40147263e-01 2.61822253e-01 2.40156114e-01
1.85329497e-01 1.20329440e-01 6.57343715e-02 3.02149691e-02
1.16794668e-02 3.66766355e-03]
[ 2.40147233e-01 3.11205417e-01 3.39293957e-01 3.11216891e-01
2.40167409e-01 1.55934274e-01 8.51848125e-02 3.91554050e-02
1.51353506e-02 4.75290464e-03]
[ 2.61822313e-01 3.39293987e-01 3.69917899e-01 3.39306444e-01
2.61844218e-01 1.70008659e-01 9.28734168e-02 4.26894799e-02
1.65014379e-02 5.18189231e-03]
[ 2.40156099e-01 3.11216891e-01 3.39306504e-01 3.11228454e-01
2.40176305e-01 1.55940071e-01 8.51879939e-02 3.91568542e-02
1.51359094e-02 4.75308020e-03]
[ 1.85329482e-01 2.40167409e-01 2.61844158e-01 2.40176275e-01
1.85345069e-01 1.20339520e-01 6.57398850e-02 3.02175023e-02
1.16804410e-02 3.66797182e-03]
[ 1.20329432e-01 1.55934215e-01 1.70008585e-01 1.55940056e-01
1.20339528e-01 7.81332105e-02 4.26831692e-02 1.96194164e-02
7.58379884e-03 2.38151615e-03]
[ 6.57343566e-02 8.51848125e-02 9.28733870e-02 8.51879716e-02
6.57398999e-02 4.26831730e-02 2.33172476e-02 1.07178288e-02
4.14292794e-03 1.30099081e-03]
[ 3.02149653e-02 3.91553976e-02 4.26894762e-02 3.91568542e-02
3.02175060e-02 1.96194146e-02 1.07178241e-02 4.92647430e-03
1.90430786e-03 5.98003331e-04]
[ 1.16794640e-02 1.51353478e-02 1.65014341e-02 1.51359159e-02
1.16804382e-02 7.58380024e-03 4.14292654e-03 1.90430752e-03
7.36101763e-04 2.31155660e-04]
[ 3.66766402e-03 4.75290418e-03 5.18189138e-03 4.75307973e-03
3.66797158e-03 2.38151639e-03 1.30099081e-03 5.98003448e-04
2.31155660e-04 7.25890277e-05]]
[[ 2.61967838e-01 3.39482516e-01 3.70123386e-01 3.39495182e-01
2.61989683e-01 1.70103014e-01 9.29249972e-02 4.27132025e-02
1.65106002e-02 5.18476823e-03]
[ 3.39482576e-01 4.39933717e-01 4.79640961e-01 4.39949840e-01
3.39511126e-01 2.20435619e-01 1.20420970e-01 5.53517975e-02
2.13960037e-02 6.71891356e-03]
[ 3.70123357e-01 4.79640901e-01 5.22931933e-01 4.79658663e-01
3.70154560e-01 2.40331396e-01 1.31289884e-01 6.03477173e-02
2.33271439e-02 7.32534751e-03]
[ 3.39495122e-01 4.39949840e-01 4.79658633e-01 4.39966053e-01
3.39523613e-01 2.20443726e-01 1.20425418e-01 5.53538464e-02
2.13967878e-02 6.71916269e-03]
[ 2.61989802e-01 3.39511096e-01 3.70154530e-01 3.39523733e-01
2.62011766e-01 1.70117199e-01 9.29328278e-02 4.27167863e-02
1.65119804e-02 5.18520409e-03]
[ 1.70102954e-01 2.20435604e-01 2.40331441e-01 2.20443651e-01
1.70117199e-01 1.10452630e-01 6.03387840e-02 2.77348645e-02
1.07207922e-02 3.36661609e-03]
[ 9.29250121e-02 1.20420963e-01 1.31289855e-01 1.20425411e-01
9.29327905e-02 6.03388026e-02 3.29622701e-02 1.51511934e-02
5.85662527e-03 1.83913659e-03]
[ 4.27131951e-02 5.53517789e-02 6.03477135e-02 5.53538315e-02
4.27167825e-02 2.77348682e-02 1.51511906e-02 6.96428120e-03
2.69201165e-03 8.45363596e-04]
[ 1.65105946e-02 2.13959981e-02 2.33271401e-02 2.13967860e-02
1.65119786e-02 1.07207913e-02 5.85662667e-03 2.69201235e-03
1.04058499e-03 3.26771697e-04]
[ 5.18476730e-03 6.71891402e-03 7.32534751e-03 6.71916315e-03
5.18520502e-03 3.36661586e-03 1.83913694e-03 8.45363655e-04
3.26771609e-04 1.02615035e-04]]
[[ 3.82598817e-01 4.95807618e-01 5.40558159e-01 4.95826006e-01
3.82631004e-01 2.48432085e-01 1.35715127e-01 6.23817965e-02
2.41134092e-02 7.57225510e-03]
[ 4.95807678e-01 6.42514408e-01 7.00505972e-01 6.42538190e-01
4.95849341e-01 3.21941644e-01 1.75872445e-01 8.08402076e-02
3.12484317e-02 9.81284585e-03]
[ 5.40558159e-01 7.00506151e-01 7.63732553e-01 7.00531960e-01
5.40603459e-01 3.50999385e-01 1.91746250e-01 8.81366655e-02
3.40688415e-02 1.06985215e-02]
[ 4.95825917e-01 6.42538130e-01 7.00532079e-01 6.42562032e-01
4.95867670e-01 3.21953654e-01 1.75878882e-01 8.08432102e-02
3.12495846e-02 9.81321000e-03]
[ 3.82630914e-01 4.95849222e-01 5.40603638e-01 4.95867670e-01
3.82663131e-01 2.48452917e-01 1.35726497e-01 6.23870268e-02
2.41154358e-02 7.57289026e-03]
[ 2.48432115e-01 3.21941614e-01 3.50999296e-01 3.21953654e-01
2.48452902e-01 1.61313802e-01 8.81236419e-02 4.05062251e-02
1.56575050e-02 4.91687469e-03]
[ 1.35715187e-01 1.75872430e-01 1.91746309e-01 1.75879002e-01
1.35726511e-01 8.81236047e-02 4.81407493e-02 2.21280158e-02
8.55348911e-03 2.68602394e-03]
[ 6.23818040e-02 8.08402002e-02 8.81366506e-02 8.08432028e-02
6.23870268e-02 4.05062251e-02 2.21280139e-02 1.01711974e-02
3.93163040e-03 1.23463722e-03]
[ 2.41134074e-02 3.12484372e-02 3.40688415e-02 3.12495865e-02
2.41154414e-02 1.56575069e-02 8.55348725e-03 3.93162994e-03
1.51975511e-03 4.77243593e-04]
[ 7.57225603e-03 9.81284399e-03 1.06985206e-02 9.81320627e-03
7.57289119e-03 4.91687329e-03 2.68602394e-03 1.23463734e-03
4.77243710e-04 1.49867265e-04]]
[[ 4.88624543e-01 6.33205712e-01 6.90357268e-01 6.33229017e-01
4.88665581e-01 3.17277580e-01 1.73324481e-01 7.96690583e-02
3.07957046e-02 9.67067666e-03]
[ 6.33205712e-01 8.20567548e-01 8.94630194e-01 8.20598125e-01
6.33258998e-01 4.11158204e-01 2.24610269e-01 1.03242598e-01
3.99079770e-02 1.25321718e-02]
[ 6.90357029e-01 8.94630313e-01 9.75377023e-01 8.94662976e-01
6.90415442e-01 4.48268175e-01 2.44883046e-01 1.12561032e-01
4.35099863e-02 1.36632947e-02]
[ 6.33229017e-01 8.20597887e-01 8.94663095e-01 8.20628524e-01
6.33282363e-01 4.11173344e-01 2.24618539e-01 1.03246421e-01
3.99094522e-02 1.25326347e-02]
[ 4.88665521e-01 6.33258939e-01 6.90415204e-01 6.33282363e-01
4.88706678e-01 3.17304105e-01 1.73339024e-01 7.96757266e-02
3.07982918e-02 9.67148971e-03]
[ 3.17277491e-01 4.11158144e-01 4.48268116e-01 4.11173314e-01
3.17304134e-01 2.06017077e-01 1.12544388e-01 5.17312959e-02
1.99965145e-02 6.27943594e-03]
[ 1.73324510e-01 2.24610224e-01 2.44883046e-01 2.24618569e-01
1.73339039e-01 1.12544365e-01 6.14815205e-02 2.82601323e-02
1.09238243e-02 3.43037420e-03]
[ 7.96690434e-02 1.03242606e-01 1.12561017e-01 1.03246413e-01
7.96756819e-02 5.17312996e-02 2.82601248e-02 1.29898302e-02
5.02116187e-03 1.57677999e-03]
[ 3.07957120e-02 3.99079695e-02 4.35099788e-02 3.99094485e-02
3.07982918e-02 1.99965108e-02 1.09238233e-02 5.02116187e-03
1.94090884e-03 6.09497365e-04]
[ 9.67067759e-03 1.25321746e-02 1.36632929e-02 1.25326328e-02
9.67148971e-03 6.27943734e-03 3.43037373e-03 1.57677999e-03
6.09497190e-04 1.91398431e-04]]
[[ 5.26199698e-01 6.81899428e-01 7.43445814e-01 6.81924403e-01
5.26243746e-01 3.41676205e-01 1.86653152e-01 8.57955590e-02
3.31638977e-02 1.04143471e-02]
[ 6.81899488e-01 8.83669734e-01 9.63427126e-01 8.83702159e-01
6.81956410e-01 4.42776203e-01 2.41882831e-01 1.11181967e-01
4.29769121e-02 1.34958941e-02]
[ 7.43445933e-01 9.63427007e-01 1.05038345e+00 9.63462889e-01
7.43508041e-01 4.82739896e-01 2.63714522e-01 1.21216975e-01
4.68559042e-02 1.47140045e-02]
[ 6.81924582e-01 8.83702099e-01 9.63462710e-01 8.83734465e-01
6.81981742e-01 4.42792565e-01 2.41891712e-01 1.11186065e-01
4.29784879e-02 1.34963924e-02]
[ 5.26243865e-01 6.81956589e-01 7.43508279e-01 6.81981564e-01
5.26287854e-01 3.41704905e-01 1.86668798e-01 8.58027786e-02
3.31666805e-02 1.04152206e-02]
[ 3.41676235e-01 4.42776114e-01 4.82739925e-01 4.42792505e-01
3.41704756e-01 2.21859828e-01 1.21199079e-01 5.57094514e-02
2.15342343e-02 6.76232530e-03]
[ 1.86653107e-01 2.41882831e-01 2.63714433e-01 2.41891682e-01
1.86668858e-01 1.21199042e-01 6.62094429e-02 3.04333232e-02
1.17638698e-02 3.69416899e-03]
[ 8.57955739e-02 1.11181974e-01 1.21216968e-01 1.11186057e-01
8.58027488e-02 5.57094477e-02 3.04333232e-02 1.39887501e-02
5.40729100e-03 1.69803400e-03]
[ 3.31638940e-02 4.29769009e-02 4.68558893e-02 4.29784879e-02
3.31666842e-02 2.15342361e-02 1.17638698e-02 5.40728960e-03
2.09016423e-03 6.56367512e-04]
[ 1.04143461e-02 1.34958951e-02 1.47140045e-02 1.34963943e-02
1.04152244e-02 6.76232670e-03 3.69416876e-03 1.69803377e-03
6.56367629e-04 2.06116936e-04]]]
In [32]:
truth_boolean = np.isclose(tensorfsl, MATLAB_np_array, rtol=1e-4)
print truth_boolean;
[[[[ True True True True True True]
[ True True True True True True]
[ True True False True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True False True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True False True]
[ True True False True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True False True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True False True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True False True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True False True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True False True]
[ True True True True False True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True False True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
...,
[[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True False True True False True]
[ True True True True False True]
[ True True False True False True]
...,
[ True True True True True True]
[ True True True True False True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True False True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True False True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True False True]
[ True True True True False True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True False True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True False True]
[ True True False True True True]
...,
[ True True True True True True]
[ True True True True False True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True False True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]]
In [33]:
correct_number = np.sum(truth_boolean == True); # Total possible = 6000
In [34]:
# Percent Correct (at 1e-4 level):
print correct_number / 6000.0;
0.975666666667
In [35]:
## LINE FROM TIFF:
tensorfsl = tensorFSLTEST[2];
MATLAB_output = nib.load("/Users/Tony/Documents/Git Folder/seelviz/Tony/ipynb/line_tiff/v100/result/dogsig1_gausig2.3/v100_ch0_tensorfsl_dogsig1_gausig2.3.nii")
In [36]:
MATLAB_np_array = MATLAB_output.get_data()
print MATLAB_np_array.shape
(10, 10, 10, 6)
In [37]:
tensorfsl.shape
Out[37]:
(10, 10, 10, 6)
In [38]:
print tensorfsl[:, :, :, 0];
[[[ 3.14489453e+01 4.21877437e+01 5.13175355e+01 5.76469359e+01
6.08004472e+01 6.08004472e+01 5.76469359e+01 5.13175355e+01
4.21877437e+01 3.14489453e+01]
[ 4.07545113e+01 5.46708596e+01 6.65021054e+01 7.47043398e+01
7.87909575e+01 7.87909575e+01 7.47043398e+01 6.65021054e+01
5.46708596e+01 4.07545113e+01]
[ 4.44329123e+01 5.96053156e+01 7.25044203e+01 8.14469680e+01
8.59024336e+01 8.59024336e+01 8.14469680e+01 7.25044203e+01
5.96053156e+01 4.44329123e+01]
[ 4.07560153e+01 5.46728771e+01 6.65045595e+01 7.47070967e+01
7.87938651e+01 7.87938651e+01 7.47070967e+01 6.65045595e+01
5.46728771e+01 4.07560153e+01]
[ 3.14515847e+01 4.21912844e+01 5.13218425e+01 5.76517741e+01
6.08055501e+01 6.08055501e+01 5.76517741e+01 5.13218425e+01
4.21912844e+01 3.14515847e+01]
[ 2.04206727e+01 2.73936725e+01 3.33218996e+01 3.74317548e+01
3.94794172e+01 3.94794172e+01 3.74317548e+01 3.33218996e+01
2.73936725e+01 2.04206727e+01]
[ 1.11555428e+01 1.49648000e+01 1.82033119e+01 2.04484714e+01
2.15670822e+01 2.15670822e+01 2.04484714e+01 1.82033119e+01
1.49648000e+01 1.11555428e+01]
[ 5.12767179e+00 6.87860597e+00 8.36719566e+00 9.39918855e+00
9.91336068e+00 9.91336068e+00 9.39918855e+00 8.36719566e+00
6.87860597e+00 5.12767179e+00]
[ 1.98207897e+00 2.65889488e+00 3.23430268e+00 3.63321499e+00
3.83196596e+00 3.83196596e+00 3.63321499e+00 3.23430268e+00
2.65889488e+00 1.98207897e+00]
[ 6.22425819e-01 8.34964119e-01 1.01565756e+00 1.14092670e+00
1.20333982e+00 1.20333982e+00 1.14092670e+00 1.01565756e+00
8.34964119e-01 6.22425819e-01]]
[[ 3.88486802e+01 5.21142489e+01 6.33922221e+01 7.12108898e+01
7.51064021e+01 7.51064021e+01 7.12108898e+01 6.33922221e+01
5.21142489e+01 3.88486802e+01]
[ 5.03437863e+01 6.75345622e+01 8.21496242e+01 9.22817917e+01
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8.86687135e-02 6.60982853e-02]
[ 2.07566299e-02 2.78443482e-02 3.38701054e-02 3.80475753e-02
4.01289254e-02 4.01289254e-02 3.80475753e-02 3.38701054e-02
2.78443482e-02 2.07566299e-02]]]
In [39]:
print MATLAB_np_array[:, :, :, 0];
[[[ 3.14489307e+01 4.21877213e+01 5.13175049e+01 5.76469002e+01
6.08004150e+01 6.08004341e+01 5.76469307e+01 5.13175507e+01
4.21877365e+01 3.14489403e+01]
[ 4.07545319e+01 5.46708832e+01 6.65021286e+01 7.47043381e+01
7.87909927e+01 7.87909317e+01 7.47043686e+01 6.65021210e+01
5.46708755e+01 4.07545242e+01]
[ 4.44329033e+01 5.96052856e+01 7.25044708e+01 8.14469299e+01
8.59024277e+01 8.59024506e+01 8.14469910e+01 7.25043869e+01
5.96053162e+01 4.44329071e+01]
[ 4.07560234e+01 5.46728859e+01 6.65045776e+01 7.47070694e+01
7.87939301e+01 7.87938385e+01 7.47071304e+01 6.65045624e+01
5.46728897e+01 4.07560196e+01]
[ 3.14515762e+01 4.21912575e+01 5.13218079e+01 5.76517487e+01
6.08055229e+01 6.08055458e+01 5.76517830e+01 5.13218613e+01
4.21912880e+01 3.14515877e+01]
[ 2.04206676e+01 2.73936691e+01 3.33219147e+01 3.74317551e+01
3.94793930e+01 3.94794044e+01 3.74317589e+01 3.33219070e+01
2.73936729e+01 2.04206676e+01]
[ 1.11555414e+01 1.49648008e+01 1.82033119e+01 2.04484692e+01
2.15670891e+01 2.15670776e+01 2.04484692e+01 1.82033062e+01
1.49647989e+01 1.11555395e+01]
[ 5.12767124e+00 6.87860394e+00 8.36719322e+00 9.39918518e+00
9.91335869e+00 9.91335773e+00 9.39918137e+00 8.36719513e+00
6.87860537e+00 5.12766981e+00]
[ 1.98207855e+00 2.65889502e+00 3.23430252e+00 3.63321376e+00
3.83196449e+00 3.83196568e+00 3.63321543e+00 3.23430252e+00
2.65889478e+00 1.98207879e+00]
[ 6.22425675e-01 8.34964335e-01 1.01565731e+00 1.14092684e+00
1.20333970e+00 1.20333946e+00 1.14092660e+00 1.01565731e+00
8.34964156e-01 6.22425914e-01]]
[[ 3.88486595e+01 5.21142426e+01 6.33922157e+01 7.12108841e+01
7.51063919e+01 7.51063690e+01 7.12108994e+01 6.33922157e+01
5.21142464e+01 3.88486938e+01]
[ 5.03437843e+01 6.75345535e+01 8.21496124e+01 9.22817764e+01
9.73299713e+01 9.73299942e+01 9.22817993e+01 8.21495972e+01
6.75345764e+01 5.03437881e+01]
[ 5.48876839e+01 7.36300812e+01 8.95642242e+01 1.00610909e+02
1.06114723e+02 1.06114716e+02 1.00610970e+02 8.95642548e+01
7.36300583e+01 5.48876915e+01]
[ 5.03456459e+01 6.75370636e+01 8.21526260e+01 9.22851791e+01
9.73335495e+01 9.73335876e+01 9.22851868e+01 8.21526413e+01
6.75370407e+01 5.03456345e+01]
[ 3.88519211e+01 5.21186066e+01 6.33975372e+01 7.12168503e+01
7.51127090e+01 7.51127090e+01 7.12168961e+01 6.33975372e+01
5.21186218e+01 3.88519440e+01]
[ 2.52255402e+01 3.38392334e+01 4.11623268e+01 4.62391968e+01
4.87686653e+01 4.87686729e+01 4.62391891e+01 4.11623306e+01
3.38392258e+01 2.52255230e+01]
[ 1.37803717e+01 1.84859085e+01 2.24864407e+01 2.52598686e+01
2.66416874e+01 2.66416779e+01 2.52598591e+01 2.24864311e+01
1.84859180e+01 1.37803659e+01]
[ 6.33418036e+00 8.49709892e+00 1.03359461e+01 1.16107502e+01
1.22459049e+01 1.22459068e+01 1.16107578e+01 1.03359404e+01
8.49709702e+00 6.33417988e+00]
[ 2.44844985e+00 3.28451681e+00 3.99531221e+00 4.48808718e+00
4.73360300e+00 4.73360300e+00 4.48808718e+00 3.99531341e+00
3.28451562e+00 2.44844913e+00]
[ 7.68878400e-01 1.03142548e+00 1.25463498e+00 1.40937936e+00
1.48647773e+00 1.48647785e+00 1.40937948e+00 1.25463498e+00
1.03142560e+00 7.68878400e-01]]
[[ 4.16690941e+01 5.58977242e+01 6.79944992e+01 7.63807144e+01
8.05590897e+01 8.05590591e+01 7.63807220e+01 6.79944229e+01
5.58977089e+01 4.16690636e+01]
[ 5.39987144e+01 7.24374619e+01 8.81136017e+01 9.89813690e+01
1.04396042e+02 1.04396019e+02 9.89813995e+01 8.81136398e+01
7.24375381e+01 5.39987144e+01]
[ 5.88724976e+01 7.89755936e+01 9.60665817e+01 1.07915215e+02
1.13818573e+02 1.13818611e+02 1.07915215e+02 9.60665436e+01
7.89755325e+01 5.88725243e+01]
[ 5.40007095e+01 7.24401550e+01 8.81169052e+01 9.89850159e+01
1.04399902e+02 1.04399872e+02 9.89850616e+01 8.81168747e+01
7.24401855e+01 5.40007133e+01]
[ 4.16725845e+01 5.59023972e+01 6.80002060e+01 7.63871002e+01
8.05658417e+01 8.05658417e+01 7.63871384e+01 6.80001373e+01
5.59024086e+01 4.16725655e+01]
[ 2.70568943e+01 3.62959328e+01 4.41506805e+01 4.95961266e+01
5.23092422e+01 5.23092232e+01 4.95961533e+01 4.41506767e+01
3.62959480e+01 2.70568790e+01]
[ 1.47808142e+01 1.98280029e+01 2.41189346e+01 2.70937176e+01
2.85758438e+01 2.85758381e+01 2.70937119e+01 2.41189404e+01
1.98279839e+01 1.47808113e+01]
[ 6.79403448e+00 9.11398125e+00 1.10863266e+01 1.24536848e+01
1.31349468e+01 1.31349592e+01 1.24536867e+01 1.10863228e+01
9.11397839e+00 6.79403687e+00]
[ 2.62620640e+00 3.52297068e+00 4.28536892e+00 4.81391764e+00
5.07725620e+00 5.07725954e+00 4.81391764e+00 4.28536940e+00
3.52296877e+00 2.62620544e+00]
[ 8.24698389e-01 1.10630655e+00 1.34572148e+00 1.51169932e+00
1.59439528e+00 1.59439540e+00 1.51169908e+00 1.34572089e+00
1.10630667e+00 8.24698985e-01]]
[[ 3.88765831e+01 5.21517029e+01 6.34377937e+01 7.12620773e+01
7.51603928e+01 7.51603699e+01 7.12620850e+01 6.34377861e+01
5.21517067e+01 3.88766060e+01]
[ 5.03799629e+01 6.75831070e+01 8.22086639e+01 9.23481216e+01
9.73999329e+01 9.73999634e+01 9.23481674e+01 8.22086563e+01
6.75831223e+01 5.03799858e+01]
[ 5.49271431e+01 7.36829910e+01 8.96286316e+01 1.00683205e+02
1.06191017e+02 1.06191010e+02 1.00683258e+02 8.96286469e+01
7.36829987e+01 5.49271431e+01]
[ 5.03818321e+01 6.75856094e+01 8.22116776e+01 9.23515320e+01
9.74035034e+01 9.74035492e+01 9.23515472e+01 8.22116852e+01
6.75855789e+01 5.03818245e+01]
[ 3.88798523e+01 5.21560783e+01 6.34431190e+01 7.12680588e+01
7.51667023e+01 7.51667023e+01 7.12680817e+01 6.34431152e+01
5.21560860e+01 3.88798637e+01]
[ 2.52436714e+01 3.38635483e+01 4.11919212e+01 4.62724342e+01
4.88037148e+01 4.88037262e+01 4.62724266e+01 4.11919174e+01
3.38635445e+01 2.52436619e+01]
[ 1.37902784e+01 1.84991951e+01 2.25026016e+01 2.52780285e+01
2.66608410e+01 2.66608276e+01 2.52780151e+01 2.25025959e+01
1.84992085e+01 1.37902746e+01]
[ 6.33873177e+00 8.50320911e+00 1.03433762e+01 1.16190977e+01
1.22547112e+01 1.22547092e+01 1.16191015e+01 1.03433714e+01
8.50320530e+00 6.33873367e+00]
[ 2.45020986e+00 3.28687835e+00 3.99818516e+00 4.49131393e+00
4.73700714e+00 4.73700714e+00 4.49131346e+00 3.99818563e+00
3.28687644e+00 2.45020938e+00]
[ 7.69431055e-01 1.03216696e+00 1.25553656e+00 1.41039205e+00
1.48754597e+00 1.48754644e+00 1.41039264e+00 1.25553679e+00
1.03216684e+00 7.69431353e-01]]
[[ 3.14979343e+01 4.22534676e+01 5.13974724e+01 5.77367401e+01
6.08951683e+01 6.08951912e+01 5.77367744e+01 5.13975220e+01
4.22534714e+01 3.14979477e+01]
[ 4.08180275e+01 5.47560806e+01 6.66057587e+01 7.48207474e+01
7.89137726e+01 7.89137497e+01 7.48207779e+01 6.66057510e+01
5.47560806e+01 4.08180275e+01]
[ 4.45021439e+01 5.96981697e+01 7.26174622e+01 8.15738373e+01
8.60362930e+01 8.60363083e+01 8.15738831e+01 7.26173782e+01
5.96981964e+01 4.45021553e+01]
[ 4.08195229e+01 5.47580833e+01 6.66082230e+01 7.48235016e+01
7.89167252e+01 7.89166336e+01 7.48235397e+01 6.66082001e+01
5.47580872e+01 4.08195267e+01]
[ 3.15005894e+01 4.22570000e+01 5.14017868e+01 5.77415962e+01
6.09002686e+01 6.09003029e+01 5.77416267e+01 5.14018402e+01
4.22570305e+01 3.15005989e+01]
[ 2.04524956e+01 2.74363613e+01 3.33738480e+01 3.74900818e+01
3.95409241e+01 3.95409317e+01 3.74900780e+01 3.33738289e+01
2.74363632e+01 2.04524918e+01]
[ 1.11729231e+01 1.49881201e+01 1.82316799e+01 2.04803371e+01
2.16007023e+01 2.16006966e+01 2.04803410e+01 1.82316761e+01
1.49881220e+01 1.11729231e+01]
[ 5.13566256e+00 6.88932562e+00 8.38023186e+00 9.41383457e+00
9.92880630e+00 9.92880630e+00 9.41382980e+00 8.38023376e+00
6.88932610e+00 5.13566160e+00]
[ 1.98516750e+00 2.66303873e+00 3.23934340e+00 3.63887644e+00
3.83793759e+00 3.83793736e+00 3.63887715e+00 3.23934317e+00
2.66303825e+00 1.98516786e+00]
[ 6.23395741e-01 8.36265385e-01 1.01723993e+00 1.14270496e+00
1.20521522e+00 1.20521486e+00 1.14270484e+00 1.01724017e+00
8.36265385e-01 6.23395801e-01]]
[[ 2.20610847e+01 2.95942287e+01 3.59986763e+01 4.04386559e+01
4.26508331e+01 4.26508179e+01 4.04386711e+01 3.59986649e+01
2.95942326e+01 2.20610828e+01]
[ 2.85888500e+01 3.83509941e+01 4.66504822e+01 5.24042740e+01
5.52709770e+01 5.52709885e+01 5.24042664e+01 4.66504669e+01
3.83509789e+01 2.85888309e+01]
[ 3.11691914e+01 4.18124542e+01 5.08610458e+01 5.71341324e+01
6.02595901e+01 6.02596054e+01 5.71341286e+01 5.08610458e+01
4.18124657e+01 3.11691856e+01]
[ 2.85899048e+01 3.83524055e+01 4.66522179e+01 5.24062119e+01
5.52730179e+01 5.52730026e+01 5.24061813e+01 4.66521912e+01
3.83524055e+01 2.85898876e+01]
[ 2.20629311e+01 2.95967121e+01 3.60017128e+01 4.04420624e+01
4.26544151e+01 4.26543808e+01 4.04420624e+01 3.60016975e+01
2.95967140e+01 2.20629349e+01]
[ 1.43248758e+01 1.92163639e+01 2.33749523e+01 2.62579689e+01
2.76943665e+01 2.76943741e+01 2.62579517e+01 2.33749352e+01
1.92163467e+01 1.43248739e+01]
[ 7.82548618e+00 1.04976416e+01 1.27694225e+01 1.43443727e+01
1.51290646e+01 1.51290627e+01 1.43443708e+01 1.27694178e+01
1.04976377e+01 7.82548761e+00]
[ 3.59700346e+00 4.82526350e+00 5.86949158e+00 6.59342289e+00
6.95410872e+00 6.95410967e+00 6.59342480e+00 5.86949587e+00
4.82526588e+00 3.59700441e+00]
[ 1.39040577e+00 1.86518359e+00 2.26882505e+00 2.54865861e+00
2.68808055e+00 2.68808174e+00 2.54865885e+00 2.26882648e+00
1.86518490e+00 1.39040601e+00]
[ 4.36624736e-01 5.85717976e-01 7.12472141e-01 8.00347388e-01
8.44129443e-01 8.44129443e-01 8.00346971e-01 7.12472022e-01
5.85718036e-01 4.36624795e-01]]
[[ 1.32760048e+01 1.78093319e+01 2.16634178e+01 2.43353519e+01
2.56665936e+01 2.56665878e+01 2.43353481e+01 2.16634274e+01
1.78093414e+01 1.32760057e+01]
[ 1.72043133e+01 2.30790176e+01 2.80735207e+01 3.15360737e+01
3.32612076e+01 3.32612038e+01 3.15360565e+01 2.80735130e+01
2.30790138e+01 1.72043095e+01]
[ 1.87571259e+01 2.51620865e+01 3.06073761e+01 3.43824272e+01
3.62632751e+01 3.62632484e+01 3.43824120e+01 3.06073723e+01
2.51620731e+01 1.87571201e+01]
[ 1.72049465e+01 2.30798721e+01 2.80745564e+01 3.15372334e+01
3.32624283e+01 3.32624207e+01 3.15372143e+01 2.80745564e+01
2.30798740e+01 1.72049427e+01]
[ 1.32771168e+01 1.78108292e+01 2.16652527e+01 2.43374100e+01
2.56687546e+01 2.56687469e+01 2.43373890e+01 2.16652470e+01
1.78108330e+01 1.32771235e+01]
[ 8.62048531e+00 1.15640974e+01 1.40666666e+01 1.58016224e+01
1.66660366e+01 1.66660385e+01 1.58016148e+01 1.40666704e+01
1.15640936e+01 8.62048340e+00]
[ 4.70925474e+00 6.31731224e+00 7.68443489e+00 8.63221645e+00
9.10443306e+00 9.10443020e+00 8.63221836e+00 7.68443727e+00
6.31731272e+00 4.70925570e+00]
[ 2.16461992e+00 2.90376782e+00 3.53216767e+00 3.96781754e+00
4.18487358e+00 4.18487597e+00 3.96781802e+00 3.53216815e+00
2.90376782e+00 2.16461921e+00]
[ 8.36724460e-01 1.12243819e+00 1.36534381e+00 1.53374207e+00
1.61764395e+00 1.61764491e+00 1.53374302e+00 1.36534429e+00
1.12243879e+00 8.36724341e-01]
[ 2.62753874e-01 3.52475554e-01 4.28754389e-01 4.81636226e-01
5.07983565e-01 5.07983744e-01 4.81636316e-01 4.28754538e-01
3.52475762e-01 2.62753844e-01]]
[[ 6.82129860e+00 9.15055180e+00 1.11308155e+01 1.25036659e+01
1.31876602e+01 1.31876583e+01 1.25036583e+01 1.11308079e+01
9.15054893e+00 6.82129955e+00]
[ 8.83968163e+00 1.18581476e+01 1.44243555e+01 1.62034340e+01
1.70898190e+01 1.70898170e+01 1.62034264e+01 1.44243507e+01
1.18581514e+01 8.83968258e+00]
[ 9.63752460e+00 1.29284315e+01 1.57262659e+01 1.76659031e+01
1.86323071e+01 1.86323032e+01 1.76659088e+01 1.57262697e+01
1.29284363e+01 9.63753033e+00]
[ 8.84001160e+00 1.18585854e+01 1.44248924e+01 1.62040329e+01
1.70904503e+01 1.70904522e+01 1.62040195e+01 1.44248838e+01
1.18585911e+01 8.84001064e+00]
[ 6.82187080e+00 9.15132046e+00 1.11317520e+01 1.25047140e+01
1.31887674e+01 1.31887703e+01 1.25047140e+01 1.11317482e+01
9.15131664e+00 6.82187128e+00]
[ 4.42925739e+00 5.94170427e+00 7.22754335e+00 8.11897278e+00
8.56311512e+00 8.56311035e+00 8.11897469e+00 7.22754383e+00
5.94170618e+00 4.42925882e+00]
[ 2.41964459e+00 3.24587727e+00 3.94831157e+00 4.43528795e+00
4.67791462e+00 4.67791700e+00 4.43528748e+00 3.94831181e+00
3.24587560e+00 2.41964507e+00]
[ 1.11219597e+00 1.49197531e+00 1.81485188e+00 2.03869057e+00
2.15021586e+00 2.15021610e+00 2.03869104e+00 1.81485140e+00
1.49197447e+00 1.11219597e+00]
[ 4.29914355e-01 5.76716125e-01 7.01522529e-01 7.88046658e-01
8.31156015e-01 8.31156075e-01 7.88046896e-01 7.01522648e-01
5.76716065e-01 4.29914415e-01]
[ 1.35004655e-01 1.81104302e-01 2.20296934e-01 2.47467831e-01
2.61005282e-01 2.61005223e-01 2.47467771e-01 2.20296875e-01
1.81104347e-01 1.35004580e-01]]
[[ 2.96656966e+00 3.97955823e+00 4.84076643e+00 5.43781853e+00
5.73529148e+00 5.73529196e+00 5.43781996e+00 4.84076977e+00
3.97955847e+00 2.96656990e+00]
[ 3.84436226e+00 5.15708447e+00 6.27312517e+00 7.04683828e+00
7.43232822e+00 7.43233013e+00 7.04684114e+00 6.27312660e+00
5.15708733e+00 3.84436131e+00]
[ 4.19134521e+00 5.62255144e+00 6.83932114e+00 7.68287086e+00
8.10315609e+00 8.10315514e+00 7.68287039e+00 6.83932304e+00
5.62255287e+00 4.19134474e+00]
[ 3.84450459e+00 5.15727615e+00 6.27335787e+00 7.04709959e+00
7.43260479e+00 7.43260622e+00 7.04710054e+00 6.27335644e+00
5.15727806e+00 3.84450269e+00]
[ 2.96682024e+00 3.97989249e+00 4.84117365e+00 5.43827438e+00
5.73577309e+00 5.73577404e+00 5.43827772e+00 4.84117699e+00
3.97989178e+00 2.96681857e+00]
[ 1.92627680e+00 2.58403778e+00 3.14324641e+00 3.53092718e+00
3.72408271e+00 3.72408247e+00 3.53092813e+00 3.14324570e+00
2.58403754e+00 1.92627668e+00]
[ 1.05229914e+00 1.41162515e+00 1.71711338e+00 1.92889833e+00
2.03441715e+00 2.03441715e+00 1.92889893e+00 1.71711326e+00
1.41162562e+00 1.05229938e+00]
[ 4.83691841e-01 6.48857415e-01 7.89275229e-01 8.86622787e-01
9.35124516e-01 9.35124457e-01 8.86622906e-01 7.89275289e-01
6.48857117e-01 4.83691931e-01]
[ 1.86969042e-01 2.50812948e-01 3.05090815e-01 3.42720389e-01
3.61468494e-01 3.61468375e-01 3.42720151e-01 3.05091023e-01
2.50812858e-01 1.86968967e-01]
[ 5.87132648e-02 7.87619203e-02 9.58067179e-02 1.07623294e-01
1.13510728e-01 1.13510720e-01 1.07623309e-01 9.58067030e-02
7.87619576e-02 5.87132685e-02]]
[[ 1.04875803e+00 1.40687490e+00 1.71133482e+00 1.92240727e+00
2.02756977e+00 2.02757001e+00 1.92240751e+00 1.71133482e+00
1.40687478e+00 1.04875815e+00]
[ 1.35907912e+00 1.82316124e+00 2.21770930e+00 2.49123716e+00
2.62751698e+00 2.62751818e+00 2.49123669e+00 2.21770954e+00
1.82316136e+00 1.35907972e+00]
[ 1.48174691e+00 1.98771584e+00 2.41787362e+00 2.71608925e+00
2.86467075e+00 2.86467075e+00 2.71608996e+00 2.41787386e+00
1.98771548e+00 1.48174655e+00]
[ 1.35912967e+00 1.82322872e+00 2.21779132e+00 2.49132943e+00
2.62761426e+00 2.62761497e+00 2.49132848e+00 2.21779132e+00
1.82322896e+00 1.35912955e+00]
[ 1.04884624e+00 1.40699303e+00 1.71147835e+00 1.92256904e+00
2.02774024e+00 2.02774024e+00 1.92256892e+00 1.71147835e+00
1.40699291e+00 1.04884613e+00]
[ 6.80987597e-01 9.13522840e-01 1.11121702e+00 1.24827242e+00
1.31655824e+00 1.31655777e+00 1.24827242e+00 1.11121750e+00
9.13522959e-01 6.80987537e-01]
[ 3.72014523e-01 4.99045551e-01 6.07043147e-01 6.81914330e-01
7.19217837e-01 7.19218135e-01 6.81914806e-01 6.07043147e-01
4.99045581e-01 3.72014493e-01]
[ 1.70997351e-01 2.29387403e-01 2.79028833e-01 3.13443780e-01
3.30590248e-01 3.30590189e-01 3.13443720e-01 2.79028833e-01
2.29387447e-01 1.70997366e-01]
[ 6.60982803e-02 8.86686966e-02 1.07857384e-01 1.21160306e-01
1.27788246e-01 1.27788261e-01 1.21160291e-01 1.07857376e-01
8.86687040e-02 6.60982803e-02]
[ 2.07566302e-02 2.78443471e-02 3.38701159e-02 3.80475707e-02
4.01289314e-02 4.01289277e-02 3.80475782e-02 3.38701084e-02
2.78443526e-02 2.07566284e-02]]]
In [40]:
truth_boolean = np.isclose(tensorfsl, MATLAB_np_array, rtol=1e-4)
print truth_boolean;
[[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True False True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True False True True False True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True False True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True False True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True False True True True True]
[ True True True True True True]
[ True False True True True True]]
[[ True False True True True True]
[ True False True True True True]
[ True False True True True True]
...,
[ True False True True False True]
[ True False True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
...,
[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]
[[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
...,
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]
[[ True True True True True True]
[ True True True True True True]
[ True True True True True True]
...,
[ True True True True True True]
[ True True True True True True]
[ True True True True True True]]]]
In [41]:
correct_number = np.sum(truth_boolean == True); # Total possible = 6000
In [42]:
# Percent Correct (at 1e-4 level):
print correct_number / 6000.0;
0.9925
In [43]:
%matplotlib inline
from matplotlib import pyplot as plt
plt.imshow(line_matlab[:, :, 0], cmap='gray', interpolation='none')
plt.show()
In [48]:
## xx, xy, xz, yy, yz, zz
firstvaluppertriangular = tensorfsl[5, 5, 5, :]
print firstvaluppertriangular
[ 27.69436878 3.53103715 0.15143211 27.69436878 0.15143211
0.50806156]
In [49]:
three_by_three = np.zeros((3, 3));
# [xx xy xz]
# [yx yy yz]
# [zx zy zz]
three_by_three[0, 0] = firstvaluppertriangular[0];
three_by_three[0, 1] = firstvaluppertriangular[1];
three_by_three[0, 2] = firstvaluppertriangular[2];
three_by_three[1, 0] = firstvaluppertriangular[1];
three_by_three[1, 1] = firstvaluppertriangular[3];
three_by_three[1, 2] = firstvaluppertriangular[2];
three_by_three[2, 0] = firstvaluppertriangular[2];
three_by_three[2, 1] = firstvaluppertriangular[4];
three_by_three[2, 2] = firstvaluppertriangular[5];
print three_by_three;
[[ 27.69436878 3.53103715 0.15143211]
[ 3.53103715 27.69436878 0.15143211]
[ 0.15143211 0.15143211 0.50806156]]
In [50]:
## xx, xy, xz, yy, yz, zz
secondvaluppertriangular = tensorfsl[2, 2, 5, :]
print secondvaluppertriangular
[ 1.13818586e+02 2.18062018e-06 2.58935489e-04 1.13818586e+02
2.58935489e-04 2.40539167e+00]
In [52]:
three_by_three = np.zeros((3, 3));
# [xx xy xz]
# [yx yy yz]
# [zx zy zz]
three_by_three[0, 0] = secondvaluppertriangular[0];
three_by_three[0, 1] = secondvaluppertriangular[1];
three_by_three[0, 2] = secondvaluppertriangular[2];
three_by_three[1, 0] = secondvaluppertriangular[1];
three_by_three[1, 1] = secondvaluppertriangular[3];
three_by_three[1, 2] = secondvaluppertriangular[2];
three_by_three[2, 0] = secondvaluppertriangular[2];
three_by_three[2, 1] = secondvaluppertriangular[4];
three_by_three[2, 2] = secondvaluppertriangular[5];
print three_by_three;
[[ 1.13818586e+02 2.18062018e-06 2.58935489e-04]
[ 2.18062018e-06 1.13818586e+02 2.58935489e-04]
[ 2.58935489e-04 2.58935489e-04 2.40539167e+00]]
In [ ]:
Content source: NeuroDataDesign/seelviz
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