Changed paths in examples

st2d_examples.py

@@ -14,7 +14,7 @@ import st2d
 #%% ST AND ORIENTATIONS - VISUALIZATION OPTIONS
 plt.close('all')
 
-filename = '../data2D/drawn_fibres_B.png';
+filename = 'example_data_2D/drawn_fibres_B.png';
 sigma = 0.5
 rho = 2
 
@@ -42,7 +42,7 @@ plt.show()
 
  #%% ST AND ORIENTATIONS - HISTOGRAMS OPTIONS
 
-filename = '../data2D/10X.png';
+filename = 'example_data_2D/10X.png';
 sigma = 0.5
 rho = 15
 N = 180 # number of angle bins for orientation histogram
@@ -81,7 +81,7 @@ plt.show()
 
  #%% ST AND ORIENTATIONS - HISTOGRAMS OPTIONS
 
-filename = '../data2D/drawn_field.png';
+filename = 'example_data_2D/drawn_field.png';
 sigma = 0.5
 rho = 15
 N = 90 # number of angle bins for orientation histogram
@@ -131,7 +131,7 @@ plt.show()
 
    #%% YET ANOTHER EXAMPLE 
 
-filename = '../data2D/OCT_im_org.png';
+filename = 'example_data_2D/OCT_im_org.png';
 sigma = 0.5
 rho = 5
 N = 180 # number of angle bins for orientation histogram
@@ -169,7 +169,7 @@ plt.show()
     
 #%% INVESTIGATING THE EFFECT OF RHO
 
-filename = '../data2D/short_fibres.png'
+filename = 'example_data_2D/short_fibres.png'
 image = skimage.io.imread(filename)
 image = np.mean(image[:,:,0:3],axis=2)
 image -= np.min(image)
@@ -205,7 +205,7 @@ for k in range(4):
 
 #%% INVESTIGATING THE EFFECT OF SCALING + RHO 
 
-filename = '../data2D/short_fibres.png'
+filename = 'example_data_2D/short_fibres.png'
 downsampling_range = 4
 figsize = (10,5)    
 
@@ -240,7 +240,7 @@ for k in range(downsampling_range):
     plt.show()
     
 #%% COMPARING DOMINANT ORIENTATION AND OPTICAL FLOW
-image = skimage.io.imread('../data2D/drawn_fibres_B.png');
+image = skimage.io.imread('example_data_2D/drawn_fibres_B.png');
 
 # computing structure tensor, orientation and optical flow
 sigma = 0.5

st3d_examples.py

@@ -13,7 +13,7 @@ import matplotlib.pyplot as plt
 import st3d
 
 # reading in the data
-volume = scipy.io.loadmat('../testing_data_3D/multi_cube.mat')['vol']
+volume = scipy.io.loadmat('example_data_3D/multi_cube.mat')['vol']
 
 # computing structure tensor and orientations
 sigma = 0.5;