diff --git a/deploy/pipeline/config/examples/infer_cfg_illegal_parking.yml b/deploy/pipeline/config/examples/infer_cfg_illegal_parking.yml
index 18c2915fcfe0921ae8d43ffebb4499ea15b60e49..a8e7d85d4255fcff3ac31cfc329c854e4b3dd180 100644
--- a/deploy/pipeline/config/examples/infer_cfg_illegal_parking.yml
+++ b/deploy/pipeline/config/examples/infer_cfg_illegal_parking.yml
@@ -10,7 +10,7 @@ MOT:
 
 VEHICLE_PLATE:
   det_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_det_infer.tar.gz
-  det_limit_side_len: 480
+  det_limit_side_len: 736
   det_limit_type: "max"
   rec_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_rec_infer.tar.gz
   rec_image_shape: [3, 48, 320]
diff --git a/deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml b/deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml
index 9f8d0740a8f41084f3fe37efced9d62227481bc3..bf745f9cc6546abcc450eac6bfc64965d7306a49 100644
--- a/deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml
+++ b/deploy/pipeline/config/examples/infer_cfg_vehicle_plate.yml
@@ -15,7 +15,7 @@ MOT:
 VEHICLE_PLATE:
   det_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_det_infer.tar.gz
   det_limit_side_len: 736
-  det_limit_type: "min"
+  det_limit_type: "max"
   rec_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_rec_infer.tar.gz
   rec_image_shape: [3, 48, 320]
   rec_batch_num: 6
diff --git a/deploy/pipeline/config/infer_cfg_ppvehicle.yml b/deploy/pipeline/config/infer_cfg_ppvehicle.yml
index 11880ebd54f962fa606861bf4eefe07ff9ca2cfe..fc4e2413c8baadcc538570fdba1b2bc194270b2c 100644
--- a/deploy/pipeline/config/infer_cfg_ppvehicle.yml
+++ b/deploy/pipeline/config/infer_cfg_ppvehicle.yml
@@ -15,7 +15,7 @@ MOT:
 VEHICLE_PLATE:
   det_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_det_infer.tar.gz
   det_limit_side_len: 736
-  det_limit_type: "min"
+  det_limit_type: "max"
   rec_model_dir: https://bj.bcebos.com/v1/paddledet/models/pipeline/ch_PP-OCRv3_rec_infer.tar.gz
   rec_image_shape: [3, 48, 320]
   rec_batch_num: 6
diff --git a/deploy/pipeline/download.py b/deploy/pipeline/download.py
index fd385e7ecd1c6ddaa086d2be63f861ee00ca731c..a166b3ba16587f866fc0b4822610ba9bbc43f433 100644
--- a/deploy/pipeline/download.py
+++ b/deploy/pipeline/download.py
@@ -36,6 +36,8 @@ MODEL_URL_MD5_DICT = {
     '64fa0e0701efd93c7db52a9b685b3de6',
     "https://bj.bcebos.com/v1/paddledet/models/pipeline/mot_ppyoloe_l_36e_ppvehicle.zip":
     "3859d1a26e0c498285c2374b1a347013",
+    "https://bj.bcebos.com/v1/paddledet/models/pipeline/mot_ppyoloe_s_36e_ppvehicle.zip":
+    "4ed58b546be2a76d8ccbb138f64874ac",
     "https://bj.bcebos.com/v1/paddledet/models/pipeline/dark_hrnet_w32_256x192.zip":
     "a20d5f6ca087bff0e9f2b18df45a36f2",
     "https://bj.bcebos.com/v1/paddledet/models/pipeline/PPLCNet_x1_0_person_attribute_945_infer.zip":
diff --git a/deploy/pipeline/ppvehicle/vehicle_plate.py b/deploy/pipeline/ppvehicle/vehicle_plate.py
index 954687fe1ca452760af883e4cbfef7d4ddfd2154..d1263793788a4d37a106f575c2829dd7991897ae 100644
--- a/deploy/pipeline/ppvehicle/vehicle_plate.py
+++ b/deploy/pipeline/ppvehicle/vehicle_plate.py
@@ -123,7 +123,6 @@ class PlateDetector(object):
             img, shape_list = self.preprocess(image)
             if img is None:
                 return None, 0
-
             self.input_tensor.copy_from_cpu(img)
             self.predictor.run()
             outputs = []
diff --git a/deploy/pipeline/ppvehicle/vehicle_plateutils.py b/deploy/pipeline/ppvehicle/vehicle_plateutils.py
index 431b647206fe4539f71d45350586dfdb51e2731c..4a7b792da37de9a1f9e394452cdd11a91b0a9b47 100644
--- a/deploy/pipeline/ppvehicle/vehicle_plateutils.py
+++ b/deploy/pipeline/ppvehicle/vehicle_plateutils.py
@@ -61,14 +61,13 @@ def create_predictor(args, cfg, mode):
             'trt_fp32': inference.PrecisionType.Float32,
             'trt_fp16': inference.PrecisionType.Half
         }
+        min_subgraph_size = 15
         if args.run_mode in precision_map.keys():
             config.enable_tensorrt_engine(
                 workspace_size=(1 << 25) * batch_size,
                 max_batch_size=batch_size,
                 min_subgraph_size=min_subgraph_size,
-                precision_mode=precision_map[args.run_mode],
-                use_static=False,
-                use_calib_mode=trt_calib_mode)
+                precision_mode=precision_map[args.run_mode])
             use_dynamic_shape = True
 
             if mode == "det":
diff --git a/deploy/python/preprocess.py b/deploy/python/preprocess.py
index d447c744b75600886075c669e47d05036a93eae7..4fc80d1a33521f9b0b2a48c8e965fc3fb643110d 100644
--- a/deploy/python/preprocess.py
+++ b/deploy/python/preprocess.py
@@ -89,21 +89,15 @@ class Resize_Mult32(object):
 
         # limit the max side
         if self.limit_type == 'max':
-            if max(h, w) > limit_side_len:
-                if h > w:
-                    ratio = float(limit_side_len) / h
-                else:
-                    ratio = float(limit_side_len) / w
+            if h > w:
+                ratio = float(limit_side_len) / h
             else:
-                ratio = 1.
+                ratio = float(limit_side_len) / w
         elif self.limit_type == 'min':
-            if min(h, w) < limit_side_len:
-                if h < w:
-                    ratio = float(limit_side_len) / h
-                else:
-                    ratio = float(limit_side_len) / w
+            if h < w:
+                ratio = float(limit_side_len) / h
             else:
-                ratio = 1.
+                ratio = float(limit_side_len) / w
         elif self.limit_type == 'resize_long':
             ratio = float(limit_side_len) / max(h, w)
         else: