diff --git a/modules/image/Image_editing/super_resolution/dcscn/README.md b/modules/image/Image_editing/super_resolution/dcscn/README.md
index da6069abee9c53cb035a5b35e59a0ef90b724904..732f72e33dd57c9161c3616f1b9b023c764396a4 100644
--- a/modules/image/Image_editing/super_resolution/dcscn/README.md
+++ b/modules/image/Image_editing/super_resolution/dcscn/README.md
@@ -62,7 +62,6 @@
   #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
   res = sr_model.reconstruct(images=[im], visualization=True)
   print(res[0]['data'])
-  sr_model.save_inference_model()
   ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/dcscn/README_en.md b/modules/image/Image_editing/super_resolution/dcscn/README_en.md
index 427d8e6f07591bcdb11694d428d2bdabab8a8060..3ec4c992d7b202a4bea0e768769237f464b9dab2 100644
--- a/modules/image/Image_editing/super_resolution/dcscn/README_en.md
+++ b/modules/image/Image_editing/super_resolution/dcscn/README_en.md
@@ -64,7 +64,6 @@
     im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
     res = sr_model.reconstruct(images=[im], visualization=True)
     print(res[0]['data'])
-    sr_model.save_inference_model()
     ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/falsr_a/README.md b/modules/image/Image_editing/super_resolution/falsr_a/README.md
index 1a3526915cabdac1a502b03a061ce5b4051a77a1..7baa750986c145305e8e1572de6c260ff40ed484 100644
--- a/modules/image/Image_editing/super_resolution/falsr_a/README.md
+++ b/modules/image/Image_editing/super_resolution/falsr_a/README.md
@@ -62,7 +62,6 @@
   #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
   res = sr_model.reconstruct(images=[im], visualization=True)
   print(res[0]['data'])
-  sr_model.save_inference_model()
   ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/falsr_a/README_en.md b/modules/image/Image_editing/super_resolution/falsr_a/README_en.md
index 4e294edb3bbf08c53a6bbe9ac9cfd945cd656afa..e855443e6b86aeda64e9de38a35182cea7689c4d 100644
--- a/modules/image/Image_editing/super_resolution/falsr_a/README_en.md
+++ b/modules/image/Image_editing/super_resolution/falsr_a/README_en.md
@@ -65,7 +65,6 @@
     im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
     res = sr_model.reconstruct(images=[im], visualization=True)
     print(res[0]['data'])
-    sr_model.save_inference_model()
     ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/falsr_b/README.md b/modules/image/Image_editing/super_resolution/falsr_b/README.md
index 4eb25789a35f4bf8f099e0fb5c6a2da1275a48f1..a81b9e67530af9a2d6fe46815be15bfd4e4039fb 100644
--- a/modules/image/Image_editing/super_resolution/falsr_b/README.md
+++ b/modules/image/Image_editing/super_resolution/falsr_b/README.md
@@ -62,7 +62,6 @@
   #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
   res = sr_model.reconstruct(images=[im], visualization=True)
   print(res[0]['data'])
-  sr_model.save_inference_model()
   ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/falsr_b/README_en.md b/modules/image/Image_editing/super_resolution/falsr_b/README_en.md
index 1dbea0f77c27dc81f8234e3e7d08f712d61c64ab..39465749b23798085aeb1cfad7a4adae7d199e95 100644
--- a/modules/image/Image_editing/super_resolution/falsr_b/README_en.md
+++ b/modules/image/Image_editing/super_resolution/falsr_b/README_en.md
@@ -65,7 +65,6 @@
   im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
   res = sr_model.reconstruct(images=[im], visualization=True)
   print(res[0]['data'])
-  sr_model.save_inference_model()
   ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/falsr_c/README.md b/modules/image/Image_editing/super_resolution/falsr_c/README.md
index 405b73970ffaad2313f62a4da9c635a9959fc782..6a8fa7f9f1a64e3dcf7f0be3e641453e84ba80eb 100644
--- a/modules/image/Image_editing/super_resolution/falsr_c/README.md
+++ b/modules/image/Image_editing/super_resolution/falsr_c/README.md
@@ -62,7 +62,6 @@
   #visualization=True可以用于查看超分图片效果，可设置为False提升运行速度。
   res = sr_model.reconstruct(images=[im], visualization=True)
   print(res[0]['data'])
-  sr_model.save_inference_model()
   ```
 
 - ### 3、API
diff --git a/modules/image/Image_editing/super_resolution/falsr_c/README_en.md b/modules/image/Image_editing/super_resolution/falsr_c/README_en.md
index c7e1d8a209af538333d330713219076263359965..d6a4b6495555da49251092efd55c212a11e22d5e 100644
--- a/modules/image/Image_editing/super_resolution/falsr_c/README_en.md
+++ b/modules/image/Image_editing/super_resolution/falsr_c/README_en.md
@@ -65,7 +65,6 @@
   im = cv2.imread('/PATH/TO/IMAGE').astype('float32')
   res = sr_model.reconstruct(images=[im], visualization=True)
   print(res[0]['data'])
-  sr_model.save_inference_model()
   ```
 
 - ### 3、API
diff --git a/modules/image/semantic_segmentation/humanseg_lite/README.md b/modules/image/semantic_segmentation/humanseg_lite/README.md
index 12248ce8ab8f38af9cf4da28c61564b1aae32222..6f8cd16cde9214d44161843c77df6e0953a4ec8a 100644
--- a/modules/image/semantic_segmentation/humanseg_lite/README.md
+++ b/modules/image/semantic_segmentation/humanseg_lite/README.md
@@ -62,8 +62,6 @@
     res = human_seg.segment(images=[im],visualization=True)
     print(res[0]['data'])
     human_seg.video_segment('/PATH/TO/VIDEO')
-    human_seg.save_inference_model('/PATH/TO/SAVE/MODEL')
-
     ```
     - 视频流预测代码示例：
 
diff --git a/modules/image/semantic_segmentation/humanseg_lite/README_en.md b/modules/image/semantic_segmentation/humanseg_lite/README_en.md
index f2b45ae351988f98693fa2d3f7cb0cecb6103258..4240a187a5f70c1741b5832e6056efbe01b76098 100644
--- a/modules/image/semantic_segmentation/humanseg_lite/README_en.md
+++ b/modules/image/semantic_segmentation/humanseg_lite/README_en.md
@@ -65,8 +65,6 @@
         res = human_seg.segment(images=[im],visualization=True)
         print(res[0]['data'])
         human_seg.video_segment('/PATH/TO/VIDEO')
-        human_seg.save_inference_model('/PATH/TO/SAVE/MODEL')
-
         ```
     - Video prediction example:
 
diff --git a/modules/image/semantic_segmentation/humanseg_mobile/README.md b/modules/image/semantic_segmentation/humanseg_mobile/README.md
index 3817be7766d28cd6f7e46c257c70aa24041f5af2..cfed591a8521c29346798e03c9afaf444da666c1 100644
--- a/modules/image/semantic_segmentation/humanseg_mobile/README.md
+++ b/modules/image/semantic_segmentation/humanseg_mobile/README.md
@@ -66,8 +66,6 @@
     res = human_seg.segment(images=[im],visualization=True)
     print(res[0]['data'])
     human_seg.video_segment('/PATH/TO/VIDEO')
-    human_seg.save_inference_model('/PATH/TO/SAVE/MODEL')
-
     ```
     - 视频流预测代码示例：
 
diff --git a/modules/image/semantic_segmentation/humanseg_mobile/README_en.md b/modules/image/semantic_segmentation/humanseg_mobile/README_en.md
index 0c5e849e5264c92117062c9be9f4081367481067..c930634f61af8b2f4b311576c39bbbeb1ab30f5e 100644
--- a/modules/image/semantic_segmentation/humanseg_mobile/README_en.md
+++ b/modules/image/semantic_segmentation/humanseg_mobile/README_en.md
@@ -65,8 +65,6 @@
         res = human_seg.segment(images=[im],visualization=True)
         print(res[0]['data'])
         human_seg.video_segment('/PATH/TO/VIDEO')
-        human_seg.save_inference_model('/PATH/TO/SAVE/MODEL')
-
         ```
     - Video prediction example:
 
diff --git a/modules/image/semantic_segmentation/humanseg_server/README.md b/modules/image/semantic_segmentation/humanseg_server/README.md
index 312f7a92c0845feb80664e7e4ea0dc1bcd66be23..93a3fb3507e1cf50925e4b4a727b06feb9e4242d 100644
--- a/modules/image/semantic_segmentation/humanseg_server/README.md
+++ b/modules/image/semantic_segmentation/humanseg_server/README.md
@@ -65,8 +65,6 @@
     res = human_seg.segment(images=[im],visualization=True)
     print(res[0]['data'])
     human_seg.video_segment('/PATH/TO/VIDEO')
-    human_seg.save_inference_model('/PATH/TO/SAVE/MODEL')
-
     ```
     - 视频流预测代码示例：
 
diff --git a/modules/image/semantic_segmentation/humanseg_server/README_en.md b/modules/image/semantic_segmentation/humanseg_server/README_en.md
index 303d03a3080c254c25a82ae146c869704e37aa0d..38001450ddfe34dfda5e867c1c27496e4d7767e1 100644
--- a/modules/image/semantic_segmentation/humanseg_server/README_en.md
+++ b/modules/image/semantic_segmentation/humanseg_server/README_en.md
@@ -63,8 +63,6 @@
         res = human_seg.segment(images=[im],visualization=True)
         print(res[0]['data'])
         human_seg.video_segment('/PATH/TO/VIDEO')
-        human_seg.save_inference_model('/PATH/TO/SAVE/MODEL')
-
         ```
     - Video prediction example: