diff options
Diffstat (limited to 'examples/domain-adaptation')
3 files changed, 12 insertions, 12 deletions
diff --git a/examples/domain-adaptation/plot_otda_color_images.py b/examples/domain-adaptation/plot_otda_color_images.py index 929365e..d70f1fc 100644 --- a/examples/domain-adaptation/plot_otda_color_images.py +++ b/examples/domain-adaptation/plot_otda_color_images.py @@ -27,9 +27,9 @@ import ot r = np.random.RandomState(42) -def im2mat(I): +def im2mat(img): """Converts an image to matrix (one pixel per line)""" - return I.reshape((I.shape[0] * I.shape[1], I.shape[2])) + return img.reshape((img.shape[0] * img.shape[1], img.shape[2])) def mat2im(X, shape): @@ -37,8 +37,8 @@ def mat2im(X, shape): return X.reshape(shape) -def minmax(I): - return np.clip(I, 0, 1) +def minmax(img): + return np.clip(img, 0, 1) ############################################################################## diff --git a/examples/domain-adaptation/plot_otda_linear_mapping.py b/examples/domain-adaptation/plot_otda_linear_mapping.py index dbf16b8..be47510 100644 --- a/examples/domain-adaptation/plot_otda_linear_mapping.py +++ b/examples/domain-adaptation/plot_otda_linear_mapping.py @@ -79,9 +79,9 @@ pl.show() # --------------- -def im2mat(I): +def im2mat(img): """Converts and image to matrix (one pixel per line)""" - return I.reshape((I.shape[0] * I.shape[1], I.shape[2])) + return img.reshape((img.shape[0] * img.shape[1], img.shape[2])) def mat2im(X, shape): @@ -89,8 +89,8 @@ def mat2im(X, shape): return X.reshape(shape) -def minmax(I): - return np.clip(I, 0, 1) +def minmax(img): + return np.clip(img, 0, 1) # Loading images diff --git a/examples/domain-adaptation/plot_otda_mapping_colors_images.py b/examples/domain-adaptation/plot_otda_mapping_colors_images.py index ee5c8b0..aa41d22 100644 --- a/examples/domain-adaptation/plot_otda_mapping_colors_images.py +++ b/examples/domain-adaptation/plot_otda_mapping_colors_images.py @@ -29,9 +29,9 @@ import ot r = np.random.RandomState(42) -def im2mat(I): +def im2mat(img): """Converts and image to matrix (one pixel per line)""" - return I.reshape((I.shape[0] * I.shape[1], I.shape[2])) + return img.reshape((img.shape[0] * img.shape[1], img.shape[2])) def mat2im(X, shape): @@ -39,8 +39,8 @@ def mat2im(X, shape): return X.reshape(shape) -def minmax(I): - return np.clip(I, 0, 1) +def minmax(img): + return np.clip(img, 0, 1) ############################################################################## |