diff --git a/tools/export_model.py b/tools/export_model.py
index 0bd06b98dcacc06893becbefacbea198c432bc39..7630a77edccc582b07e01f7e585399c65bfc046c 100644
--- a/tools/export_model.py
+++ b/tools/export_model.py
@@ -15,6 +15,7 @@
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
+from ppocr.utils.utility import enable_static_mode
 
 import os
 import sys
@@ -43,7 +44,6 @@ logger = initial_logger()
 from ppocr.utils.save_load import init_model
 
 
-
 def main():
     startup_prog, eval_program, place, config, _ = program.preprocess()
 
@@ -72,4 +72,5 @@ def main():
 
 
 if __name__ == '__main__':
+    enable_static_mode()
     main()
diff --git a/tools/infer/predict_det.py b/tools/infer/predict_det.py
index 12966718d3e135bb3400522898187c4f1addfdc1..21f9bf90b9546dfb86266a07683d4af1200d53fa 100755
--- a/tools/infer/predict_det.py
+++ b/tools/infer/predict_det.py
@@ -191,10 +191,13 @@ if __name__ == "__main__":
         if count > 0:
             total_time += elapse
         count += 1
-        print("Predict time of %s:" % image_file, elapse)
+        logger.info("The predicted time of img: {} is  {}:".format(image_file,
+                                                                   elapse))
         src_im = utility.draw_text_det_res(dt_boxes, image_file)
-        img_name_pure = os.path.split(image_file)[-1]  # image_file.split("/")[-1]
-        img_path = os.path.join(draw_img_save, "det_res_%s" % img_name_pure)
-        cv2.imwrite(img_path, src_im)
+        img_name_pure = image_file.split("/")[-1]
+        cv2.imwrite(
+            os.path.join(draw_img_save, "det_res_%s" % img_name_pure), src_im)
+        logger.info("The visualized img saved in {}".format(
+            os.path.join(draw_img_save, "det_res_%s" % img_name_pure)))
     if count > 1:
-        print("Avg Time:", total_time / (count - 1))
+        logger.info("Avg Time:", total_time / (count - 1))