rename fprop_coord to augment_coords (#334)

tensorpack/dataflow/imgaug/base.py

@@ -62,8 +62,8 @@ class Augmentor(object):
 
 
 class ImageAugmentor(Augmentor):
-    def _fprop_coord(self, coord, param):
-        return coord
+    def _augment_coords(self, coords, param):
+        return coords
 
 
 class AugmentorList(ImageAugmentor):

tensorpack/dataflow/imgaug/crop.py

@@ -39,7 +39,7 @@ class RandomCrop(ImageAugmentor):
         h0, w0 = param
         return img[h0:h0 + self.crop_shape[0], w0:w0 + self.crop_shape[1]]
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()
 
 
@@ -60,7 +60,7 @@ class CenterCrop(ImageAugmentor):
         w0 = int((orig_shape[1] - self.crop_shape[1]) * 0.5)
         return img[h0:h0 + self.crop_shape[0], w0:w0 + self.crop_shape[1]]
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()
 
 
@@ -127,7 +127,7 @@ class RandomCropAroundBox(ImageAugmentor):
     def _augment(self, img, newbox):
         return newbox.roi(img)
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()
 
 

tensorpack/dataflow/imgaug/deform.py

@@ -100,5 +100,5 @@ class GaussianDeform(ImageAugmentor):
         grid = self.grid + np.dot(self.gws, v)
         return np_sample(img, grid)
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()

tensorpack/dataflow/imgaug/noname.py

@@ -46,7 +46,7 @@ class Flip(ImageAugmentor):
             ret = img
         return ret
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()
 
 
@@ -166,5 +166,5 @@ class Transpose(ImageAugmentor):
                 ret = ret[:, :, np.newaxis]
         return ret
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()

tensorpack/dataflow/imgaug/paste.py

@@ -78,7 +78,7 @@ class CenterPaste(ImageAugmentor):
         background[y0:y0 + img_shape[0], x0:x0 + img_shape[1]] = img
         return background
 
-    def _fprop_coord(self, coord, param):
+    def _augment_coords(self, coords, param):
         raise NotImplementedError()