fix gridmask op and modify some comments (#2558)

ppdet/data/transform/gridmask_utils.py

@@ -45,7 +45,7 @@ class GridMask(object):
         self.prob = self.st_prob * min(1, 1.0 * curr_iter / self.upper_iter)
         if np.random.rand() > self.prob:
             return x
-        _, h, w = x.shape
+        h, w, _ = x.shape
         hh = int(1.5 * h)
         ww = int(1.5 * w)
         d = np.random.randint(2, h)

ppdet/data/transform/operators.py

@@ -165,7 +165,7 @@ class Permute(BaseOperator):
 @register_op
 class Lighting(BaseOperator):
     """
-    Lighting the imagen by eigenvalues and eigenvectors
+    Lighting the image by eigenvalues and eigenvectors
     Args:
         eigval (list): eigenvalues
         eigvec (list): eigenvectors
@@ -1799,12 +1799,13 @@ class Pad(BaseOperator):
                  offsets=None,
                  fill_value=(127.5, 127.5, 127.5)):
         """
-        Pad image to a specified size or multiple of size_divisor. random target_size and interpolation method
+        Pad image to a specified size or multiple of size_divisor.
         Args:
             size (int, Sequence): image target size, if None, pad to multiple of size_divisor, default None
             size_divisor (int): size divisor, default 32
             pad_mode (int): pad mode, currently only supports four modes [-1, 0, 1, 2]. if -1, use specified offsets
                 if 0, only pad to right and bottom. if 1, pad according to center. if 2, only pad left and top
+            offsets (list): [offset_x, offset_y], specify offset while padding, only supported pad_mode=-1
             fill_value (bool): rgb value of pad area, default (127.5, 127.5, 127.5)
         """
         super(Pad, self).__init__()

static/ppdet/data/transform/gridmask_utils.py

@@ -45,7 +45,7 @@ class GridMask(object):
         self.prob = self.st_prob * min(1, 1.0 * curr_iter / self.upper_iter)
         if np.random.rand() > self.prob:
             return x
-        _, h, w = x.shape
+        h, w, _ = x.shape
         hh = int(1.5 * h)
         ww = int(1.5 * w)
         d = np.random.randint(2, h)

static/ppdet/data/transform/operators.py

@@ -626,7 +626,7 @@ class GridMaskOp(BaseOperator):
                                                sample['curr_iter'])
         if not batch_input:
             samples = samples[0]
-        return sample
+        return samples
 
 
 @register_op
@@ -2100,7 +2100,7 @@ class BboxXYXY2XYWH(BaseOperator):
 @register_op
 class Lighting(BaseOperator):
     """
-    Lighting the imagen by eigenvalues and eigenvectors
+    Lighting the image by eigenvalues and eigenvectors
     Args:
         eigval (list): eigenvalues
         eigvec (list): eigenvectors