diff --git a/README.md b/README.md
index f8c949a..b6e97fd 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,7 @@ All the models are implemented in pytorch/mxnet/tensorflown first, and export a
 
 ## News
 
+- `5 Mar 2021`. [chgit0214](https://github.com/chgit0214) added the LPRNet.
 - `31 Jan 2021`. RepVGG added by [upczww](https://github.com/upczww).
 - `29 Jan 2021`. U-Net added by [YuzhouPeng](https://github.com/YuzhouPeng).
 - `24 Jan 2021`. IBN-Net added by [TCHeish](https://github.com/TCHeish), PSENet optimized, YOLOv5 v4.0 INT8, etc.
@@ -24,7 +25,6 @@ All the models are implemented in pytorch/mxnet/tensorflown first, and export a
 - `16 Sep 2020`. [hwh-hit](https://github.com/hwh-hit) added ufld(Ultra-Fast-Lane-Detection, ECCV2020).
 - `13 Sep 2020`. Add crnn, and got 1000fps on GTX1080.
 - `28 Aug 2020`. [BaofengZan](https://github.com/BaofengZan) added a tutorial for compiling and running tensorrtx on windows.
-- `16 Aug 2020`. [upczww](https://github.com/upczww) added a python wrapper for yolov5.
 
 ## Tutorials
 
@@ -81,6 +81,7 @@ Following models are implemented.
 |[ibnnet](./ibnnet)| IBN-Net, pytorch implementation from [XingangPan/IBN-Net](https://github.com/XingangPan/IBN-Net), ECCV2018 |
 |[unet](./unet)| U-Net, pytorch implementation from [milesial/Pytorch-UNet](https://github.com/milesial/Pytorch-UNet) |
 |[repvgg](./repvgg)| RepVGG, pytorch implementation from [DingXiaoH/RepVGG](https://github.com/DingXiaoH/RepVGG) |
+|[lprnet](./lprnet)| LPRNet, pytorch implementation from [xuexingyu24/License_Plate_Detection_Pytorch](https://github.com/xuexingyu24/License_Plate_Detection_Pytorch) |
 
 ## Model Zoo
 
diff --git a/lprnet/README.md b/lprnet/README.md
index 6f8c209..b194531 100644
--- a/lprnet/README.md
+++ b/lprnet/README.md
@@ -1,28 +1,31 @@
-# 
+# LPRNet
 
 The Pytorch implementation is [xuexingyu24/License_Plate_Detection_Pytorch](https://github.com/xuexingyu24/License_Plate_Detection_Pytorch).
 
 ## How to Run
 
-```
 1. generate LPRnet.wts from pytorch
 
+```
 git clone https://github.com/wang-xinyu/tensorrtx.git
 git clone https://github.com/xuexingyu24/License_Plate_Detection_Pytorch.git
 
-// copy tensorrtx/LRPnet/gen_wts.py  License_Plate_Detection_Pytorch
+// copy tensorrtx/LRPnet/gen_wts.py to License_Plate_Detection_Pytorch/
 // go to License_Plate_Detection_Pytorch/
 python genwts.py
 // a file 'LPRnet.wts' will be generated.
+```
 
 2. build LPRnet and run
 
+```
 // put LPRnet.wts into tensorrtx/LPRnet
 // go to tensorrtx/LPRnet
 mkdir build
 cd build
 cmake ..
 make
-sudo ./LPRnet -s  // serialize model to plan file i.e. 'LPRnet.engine'
-do inference
-sudo ./LPRnet -d  // deserialize plan file and run inference
+sudo ./LPRnet -s  // serialize model to file i.e. 'LPRnet.engine'
+sudo ./LPRnet -d  // deserialize model and run inference
+```
+