[Preprocessor] Fix method name `color_channel` -> `change_color_channel`

bob/bio/face/preprocessor/Base.py

@@ -60,7 +60,7 @@ class Base(TransformerMixin, BaseEstimator):
     def fit(self, X, y=None):
         return self
 
-    def color_channel(self, image):
+    def change_color_channel(self, image):
         """color_channel(image) -> channel
 
         Returns the channel of the given image, which was selected in the
@@ -121,5 +121,5 @@ class Base(TransformerMixin, BaseEstimator):
     def _transform_one_image(self, image):
         assert isinstance(image, numpy.ndarray) and image.ndim in (2, 3)
         # convert to grayscale
-        image = self.color_channel(image)
+        image = self.change_color_channel(image)
         return self.data_type(image)

bob/bio/face/preprocessor/FaceCrop.py

@@ -337,7 +337,7 @@ class FaceCrop(Base):
                 return None
 
             # convert to the desired color channel
-            image = self.color_channel(image)
+            image = self.change_color_channel(image)
 
             # annotate the image if annotations are missing
             if (

bob/bio/face/preprocessor/HistogramEqualization.py

@@ -94,7 +94,7 @@ class HistogramEqualization(Base):
         """
 
         def _crop(image, annotations):
-            image = self.color_channel(image)
+            image = self.change_color_channel(image)
             if self.cropper is not None:
                 image = self.cropper.transform([image], [annotations])[0]
             image = self.equalize_histogram(image)

bob/bio/face/preprocessor/INormLBP.py

@@ -118,7 +118,7 @@ class INormLBP(Base):
     """
 
         def _crop(image, annotations=None):
-            image = self.color_channel(image)
+            image = self.change_color_channel(image)
             if self.cropper is not None:
                 image = self.cropper.transform([image], annotations=[annotations])[0]
             image = self.lbp_extractor(image)

bob/bio/face/preprocessor/SelfQuotientImage.py

@@ -91,7 +91,7 @@ class SelfQuotientImage(Base):
       The cropped and photometrically enhanced face.
     """
         def _crop(image, annotations):
-            image = self.color_channel(image)
+            image = self.change_color_channel(image)
             if self.cropper is not None:
                 image = self.cropper.transform([image], [annotations])[0]
             image = self.self_quotient(image)

bob/bio/face/preprocessor/TanTriggs.py

@@ -108,7 +108,7 @@ class TanTriggs(Base):
     """
 
         def _crop(image, annotations=None):
-            image = self.color_channel(image)
+            image = self.change_color_channel(image)
             if self.cropper is not None:
                 image = self.cropper.transform([image], [annotations])[0]
             image = self.tan_triggs(image)