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| author | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-20 15:19:09 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-20 15:19:09 +0200 |
| commit | e65606ae498bd611f6a994868c2a66dfbea403cd (patch) | |
| tree | b9b43dcaf8499b6d57b806ce04350fb6b792537f /docs/source/auto_examples/plot_gromov_barycenter.py | |
| parent | 8acaf262baa04a4d2bdd9c774c45c5bb2fb2d12a (diff) | |
big update examples
Diffstat (limited to 'docs/source/auto_examples/plot_gromov_barycenter.py')
| -rw-r--r-- | docs/source/auto_examples/plot_gromov_barycenter.py | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/docs/source/auto_examples/plot_gromov_barycenter.py b/docs/source/auto_examples/plot_gromov_barycenter.py index 58fc51a..101c6c5 100644 --- a/docs/source/auto_examples/plot_gromov_barycenter.py +++ b/docs/source/auto_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]
|