update vehicle plate trt params (#6658)

* fix trt params

* update config to make safe of trt input shape

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]

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

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

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":

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 = []

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":

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
-            else:
-                ratio = 1.
         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
-            else:
-                ratio = 1.
         elif self.limit_type == 'resize_long':
             ratio = float(limit_side_len) / max(h, w)
         else: