diff --git a/ppocr/postprocess/db_postprocess.py b/ppocr/postprocess/db_postprocess.py
old mode 100644
new mode 100755
index 0be2c12ad4bb9e70708c45d3e3f60dd526dc4e83..16c789dcd7e9740ca8ddf613d0f2567c9af22820
--- a/ppocr/postprocess/db_postprocess.py
+++ b/ppocr/postprocess/db_postprocess.py
@@ -40,7 +40,7 @@ class DBPostProcess(object):
         self.max_candidates = max_candidates
         self.unclip_ratio = unclip_ratio
         self.min_size = 3
-        self.dilation_kernel = None if not use_dilation else [[1, 1], [1, 1]]
+        self.dilation_kernel = None if not use_dilation else np.array([[1, 1], [1, 1]])
 
     def boxes_from_bitmap(self, pred, _bitmap, dest_width, dest_height):
         '''
diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py
index 43db20d212019523076203976866b89dad6b5ca6..6f98ded8295dabbd5edf05913245e5d94d856689 100755
--- a/tools/infer/predict_det.py
+++ b/tools/infer/predict_det.py
@@ -63,6 +63,7 @@ class TextDetector(object):
             postprocess_params["box_thresh"] = args.det_db_box_thresh
             postprocess_params["max_candidates"] = 1000
             postprocess_params["unclip_ratio"] = args.det_db_unclip_ratio
+            postprocess_params["use_dilation"] = True
         else:
             logger.info("unknown det_algorithm:{}".format(self.det_algorithm))
             sys.exit(0)
@@ -111,7 +112,7 @@ class TextDetector(object):
             box = self.clip_det_res(box, img_height, img_width)
             rect_width = int(np.linalg.norm(box[0] - box[1]))
             rect_height = int(np.linalg.norm(box[0] - box[3]))
-            if rect_width <= 10 or rect_height <= 10:
+            if rect_width <= 3 or rect_height <= 3:
                 continue
             dt_boxes_new.append(box)
         dt_boxes = np.array(dt_boxes_new)