summaryrefslogtreecommitdiff
path: root/examples
diff options
context:
space:
mode:
Diffstat (limited to 'examples')
-rwxr-xr-xexamples/plot_gromov_barycenter.py9
1 files changed, 4 insertions, 5 deletions
diff --git a/examples/plot_gromov_barycenter.py b/examples/plot_gromov_barycenter.py
index 58fc51a..101c6c5 100755
--- a/examples/plot_gromov_barycenter.py
+++ b/examples/plot_gromov_barycenter.py
@@ -17,7 +17,6 @@ computation in POT.
import numpy as np
import scipy as sp
-import scipy.ndimage as spi
import matplotlib.pylab as pl
from sklearn import manifold
from sklearn.decomposition import PCA
@@ -90,10 +89,10 @@ def im2mat(I):
return I.reshape((I.shape[0] * I.shape[1], I.shape[2]))
-square = spi.imread('../data/square.png').astype(np.float64)[:, :, 2] / 256
-cross = spi.imread('../data/cross.png').astype(np.float64)[:, :, 2] / 256
-triangle = spi.imread('../data/triangle.png').astype(np.float64)[:, :, 2] / 256
-star = spi.imread('../data/star.png').astype(np.float64)[:, :, 2] / 256
+square = pl.imread('../data/square.png').astype(np.float64)[:, :, 2] / 256
+cross = pl.imread('../data/cross.png').astype(np.float64)[:, :, 2] / 256
+triangle = pl.imread('../data/triangle.png').astype(np.float64)[:, :, 2] / 256
+star = pl.imread('../data/star.png').astype(np.float64)[:, :, 2] / 256
shapes = [square, cross, triangle, star]