diff --git a/PP-LCNet_x1_0_doc_ori_infer.onnx b/PP-LCNet_x1_0_doc_ori_infer.onnx
new file mode 100644
index 0000000..4a95db1
Binary files /dev/null and b/PP-LCNet_x1_0_doc_ori_infer.onnx differ
diff --git a/rapid_table_det/predictor.py b/rapid_table_det/predictor.py
index 0c61de1..0d66991 100644
--- a/rapid_table_det/predictor.py
+++ b/rapid_table_det/predictor.py
@@ -296,7 +296,8 @@ class PPLCNet:
     def __init__(self, config: Dict[str, Any]):
         self.model = OrtInferSession(config)
         self.img_loader = LoadImage()
-        self.resize_shape = [624, 624]
+        # self.resize_shape = [624, 624]
+        self.resize_shape = [224, 224]
 
     def __call__(self, img, **kwargs):
         start = time.time()
@@ -311,7 +312,8 @@ def __call__(self, img, **kwargs):
         pred_label = mini_batch_result[0]
         return pred_label, time.time() - start
 
-    def img_preprocess(self, img, resize_shape=[624, 624]):
+    #def img_preprocess(self, img, resize_shape=[624, 624]):
+    def img_preprocess(self, img, resize_shape=[224, 224]):
         im, new_w, new_h, left, top = ResizePad(img, resize_shape[0])
         im = np.array(im).transpose((2, 0, 1)) / 255.0
         return im[None, :].astype("float32")