Fixed some spelling errors and corrected ImageError to UnidentifiedImageError (#3846)

ppdet/data/transform/mot_operators.py

@@ -108,7 +108,8 @@ class LetterBoxResize(BaseOperator):
         if not isinstance(im, np.ndarray):
             raise TypeError("{}: image type is not numpy.".format(self))
         if len(im.shape) != 3:
-            raise ImageError('{}: image is not 3-dimensional.'.format(self))
+            from PIL import UnidentifiedImageError
+            raise UnidentifiedImageError('{}: image is not 3-dimensional.'.format(self))
 
         # apply image
         height, width = self.target_size
@@ -135,7 +136,7 @@ class MOTRandomAffine(BaseOperator):
 
     Args:
         degrees (list[2]): the rotate range to apply, transform range is [min, max]
-        translate (list[2]): the translate range to apply, ransform range is [min, max]
+        translate (list[2]): the translate range to apply, transform range is [min, max]
         scale (list[2]): the scale range to apply, transform range is [min, max]
         shear (list[2]): the shear range to apply, transform range is [min, max]
         borderValue (list[3]): value used in case of a constant border when appling

ppdet/data/transform/operators.py

@@ -199,7 +199,7 @@ class RandomErasingImage(BaseOperator):
         super(RandomErasingImage, self).__init__()
         self.prob = prob
         self.lower = lower
-        self.heigher = heigher
+        self.higher = higher
         self.aspect_ratio = aspect_ratio
 
     def apply(self, sample):