update

README.md

@@ -121,17 +121,6 @@ SGD optimizer will lead to more stable training process and will not
 easily stuck into nan loss which may often happen when using the origin
 code.
 
-I have uploaded a new lanenet model trained on tusimple dataset using the
-new code here [new_lanenet_model_file](https://www.dropbox.com/sh/tnsf0lw6psszvy4/AAA81r53jpUI3wLsRW6TiPCya?dl=0).
-You may download the new model weights and update the new code. To update
-the new code you just need to
-
-```
-git pull origin master
-```
-The rest are just the same as which mentioned above. And recently I will 
-release a new model trained on culane dataset.
-
 ## Recently updates 2018.12.13
 Since a lot of user want a automatic tools to generate the training samples
 from the Tusimple Dataset. I upload the tools I use to generate the training
@@ -154,10 +143,6 @@ need to select several lines from the train.txt to generate your own
 val.txt file. In order to obtain the test images you can modify the 
 script on your own.
 
-## Recently updates 2019.05.16
-
-New model weights can be found [here](https://www.dropbox.com/sh/tnsf0lw6psszvy4/AAA81r53jpUI3wLsRW6TiPCya?dl=0)
-
 ## Recently updates 2020.06.12
 
 Add real-time segmentation model BiseNetV2 as lanenet backbone. You may modify the