diff --git a/deploy/python/mot_jde_infer.py b/deploy/python/mot_jde_infer.py
index 584fcb384e65d2aa1a59025f2f3f522fe75262e8..8e37d1b7a421183f1bb02a931afc95f3c44499c1 100644
--- a/deploy/python/mot_jde_infer.py
+++ b/deploy/python/mot_jde_infer.py
@@ -251,8 +251,7 @@ def predict_video(detector, camera_id):
             if not os.path.exists(save_dir):
                 os.makedirs(save_dir)
             cv2.imwrite(
-                os.path.join(save_dir, '{:05d}.jpg'.format(frame_id)),
-                im)
+                os.path.join(save_dir, '{:05d}.jpg'.format(frame_id)), im)
         else:
             writer.write(im)
         frame_id += 1
diff --git a/deploy/python/mot_sde_infer.py b/deploy/python/mot_sde_infer.py
index 60a3fd7db92e40749c8f19079b305ed6849aa310..6e1a4036f9851cf5077b691db65695f618d30363 100644
--- a/deploy/python/mot_sde_infer.py
+++ b/deploy/python/mot_sde_infer.py
@@ -392,8 +392,7 @@ def predict_video(detector, reid_model, camera_id):
             if not os.path.exists(save_dir):
                 os.makedirs(save_dir)
             cv2.imwrite(
-                os.path.join(save_dir, '{:05d}.jpg'.format(frame_id)),
-                im)
+                os.path.join(save_dir, '{:05d}.jpg'.format(frame_id)), im)
         else:
             writer.write(im)
         frame_id += 1
diff --git a/deploy/python/utils.py b/deploy/python/utils.py
index 138cefcd33e2b3f5a962f4c5c2ff2d2b0470294e..c35364c01765ea842a3bc0d16eaf089f674e717e 100644
--- a/deploy/python/utils.py
+++ b/deploy/python/utils.py
@@ -229,4 +229,3 @@ def get_current_memory_mb():
         meminfo = pynvml.nvmlDeviceGetMemoryInfo(handle)
         gpu_mem = meminfo.used / 1024. / 1024.
     return round(cpu_mem, 4), round(gpu_mem, 4), round(gpu_percent, 4)
-
diff --git a/deploy/serving/test_client.py b/deploy/serving/test_client.py
index b6a688e22a5ff47c01b6471506fe10d39a3ac32c..176ef9e8fc6b48524039125c019be463a12556dc 100644
--- a/deploy/serving/test_client.py
+++ b/deploy/serving/test_client.py
@@ -41,4 +41,3 @@ fetch_map = client.predict(
 print(fetch_map)
 fetch_map["image"] = sys.argv[1]
 postprocess(fetch_map)
-
diff --git a/docs/tutorials/FAQ/README.md b/docs/tutorials/FAQ/README.md
index d4541c7c322c4da227e08c2684c6e338996890e0..67d688600f1e93455f5ac700ff1b51fcc1bbb375 100644
--- a/docs/tutorials/FAQ/README.md
+++ b/docs/tutorials/FAQ/README.md
@@ -4,4 +4,3 @@
 
 - [FAQ：第零期](./FAQ第零期.md)
 - [FAQ：第一期](./FAQ第一期.md)
-
diff --git a/ppdet/data/transform/mot_operators.py b/ppdet/data/transform/mot_operators.py
index 5af64bb4418dd8011839c80c15be4a18fd1cdddc..9ad9389a6b288aa104e64d4caec9bdf4477a89d7 100644
--- a/ppdet/data/transform/mot_operators.py
+++ b/ppdet/data/transform/mot_operators.py
@@ -108,7 +108,9 @@ 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 +137,7 @@ 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
diff --git a/ppdet/engine/trainer.py b/ppdet/engine/trainer.py
index c7e80fffbb8fd3a38eb980b36a31d1303d0afa6f..87712e8adeb437fa598b095ee6e502c22773381f 100644
--- a/ppdet/engine/trainer.py
+++ b/ppdet/engine/trainer.py
@@ -17,6 +17,7 @@ from __future__ import division
 from __future__ import print_function
 
 import os
+import sys
 import copy
 import time
 
diff --git a/ppdet/modeling/losses/sparsercnn_loss.py b/ppdet/modeling/losses/sparsercnn_loss.py
index 72b3b2fbc25708d1b443507cf9336a227a1d94c8..d8fc3d117b499d6ca32ab8275b5dc1f8ba86cae5 100644
--- a/ppdet/modeling/losses/sparsercnn_loss.py
+++ b/ppdet/modeling/losses/sparsercnn_loss.py
@@ -357,7 +357,7 @@ def boxes_iou(boxes1, boxes2):
     '''
     area1 = box_area(boxes1)
     area2 = box_area(boxes2)
-    
+
     lt = paddle.maximum(boxes1.unsqueeze(-2)[:, :, :2], boxes2[:, :2])
     rb = paddle.minimum(boxes1.unsqueeze(-2)[:, :, 2:], boxes2[:, 2:])