Remove duplicate contiguous conversion

This commit is contained in:
Johannes Schönberger
2012-11-10 08:59:48 +01:00
parent 2bb139fb03
commit 7ea3a754e0
3 changed files with 3 additions and 3 deletions
+1 -1
View File
@@ -41,10 +41,10 @@ def _apply(func8, func16, image, selem, out, mask, shift_x, shift_y, s0, s1):
else:
mask = np.ascontiguousarray(mask)
mask = img_as_ubyte(mask)
if image is out:
raise NotImplementedError("Cannot perform rank operation in place.")
mask = np.ascontiguousarray(mask)
if image.dtype == np.uint8:
if func8 is None:
raise TypeError("Not implemented for uint8 image.")
+1 -1
View File
@@ -40,10 +40,10 @@ def _apply(func8, func16, image, selem, out, mask, shift_x, shift_y, p0, p1):
else:
mask = np.ascontiguousarray(mask)
mask = img_as_ubyte(mask)
if image is out:
raise NotImplementedError("Cannot perform rank operation in place.")
mask = np.ascontiguousarray(mask)
if image.dtype == np.uint8:
if func8 is None:
raise TypeError("Not implemented for uint8 image.")
+1 -1
View File
@@ -33,10 +33,10 @@ def _apply(func8, func16, image, selem, out, mask, shift_x, shift_y):
else:
mask = np.ascontiguousarray(mask)
mask = img_as_ubyte(mask)
if image is out:
raise NotImplementedError("Cannot perform rank operation in place.")
mask = np.ascontiguousarray(mask)
if image.dtype == np.uint8:
if func8 is None:
raise TypeError("Not implemented for uint8 image.")