diff options
| author | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-20 14:47:55 +0200 |
|---|---|---|
| committer | Rémi Flamary <remi.flamary@gmail.com> | 2020-04-20 14:47:55 +0200 |
| commit | 1ea47b72fa3ee8e9ee4c9a1e17871506b4d50066 (patch) | |
| tree | f9bbbb2eb9859734efcf65a36f5c42f0b04699f4 /examples | |
| parent | 2dc6dd874036b05eef02063c04a83a16a0568784 (diff) | |
read image using pylab
Diffstat (limited to 'examples')
| -rw-r--r-- | examples/plot_otda_color_images.py | 5 | ||||
| -rw-r--r-- | examples/plot_otda_mapping_colors_images.py | 5 |
2 files changed, 4 insertions, 6 deletions
diff --git a/examples/plot_otda_color_images.py b/examples/plot_otda_color_images.py index 62383a2..d9cbd2b 100644 --- a/examples/plot_otda_color_images.py +++ b/examples/plot_otda_color_images.py @@ -18,7 +18,6 @@ SIAM Journal on Imaging Sciences, 7(3), 1853-1882. # License: MIT License import numpy as np -from scipy import ndimage import matplotlib.pylab as pl import ot @@ -45,8 +44,8 @@ def minmax(I): # ------------- # Loading images -I1 = ndimage.imread('../data/ocean_day.jpg').astype(np.float64) / 256 -I2 = ndimage.imread('../data/ocean_sunset.jpg').astype(np.float64) / 256 +I1 = pl.imread('../data/ocean_day.jpg').astype(np.float64) / 256 +I2 = pl.imread('../data/ocean_sunset.jpg').astype(np.float64) / 256 X1 = im2mat(I1) X2 = im2mat(I2) diff --git a/examples/plot_otda_mapping_colors_images.py b/examples/plot_otda_mapping_colors_images.py index a20eca8..bc9afba 100644 --- a/examples/plot_otda_mapping_colors_images.py +++ b/examples/plot_otda_mapping_colors_images.py @@ -22,7 +22,6 @@ estimation [8]. # License: MIT License import numpy as np -from scipy import ndimage import matplotlib.pylab as pl import ot @@ -48,8 +47,8 @@ def minmax(I): # ------------- # Loading images -I1 = ndimage.imread('../data/ocean_day.jpg').astype(np.float64) / 256 -I2 = ndimage.imread('../data/ocean_sunset.jpg').astype(np.float64) / 256 +I1 = pl.imread('../data/ocean_day.jpg').astype(np.float64) / 256 +I2 = pl.imread('../data/ocean_sunset.jpg').astype(np.float64) / 256 X1 = im2mat(I1) |