def transform_featurewise_std_normalization(self, featurewise_std_normalization, images, result):
#Transformation object
parameters = ImageDataTransformation.Parameters(featurewise_std_normalization = featurewise_std_normalization)
transformation = ImageDataTransformation(parameters = parameters)
#Fit and perform transformation
transformation.fit(images)
transformed_images = transformation.transform(images)
transformed_std = transformed_images.std(axis = 0)
#Assert
self.assertTrue(np.allclose(transformed_std, result))
def transform_featurewise_mean(self, featurewise_mean, images, result):
#Transformation object
parameters = ImageDataTransformation.Parameters(featurewise_mean = featurewise_mean)
transformation = ImageDataTransformation(parameters = parameters)
#Fit and perform transformation
transformation.fit(images)
transformed_images = transformation.transform(images)
sum_image = transformed_images.sum(axis = 0)
#Assert
self.assertTrue(
np.array_equal(sum_image, result),
"Sum images: {} expected: {}".format(sum_image, result))