diff --git a/README.md b/README.md
index ade69a8..a138d77 100644
--- a/README.md
+++ b/README.md
@@ -119,6 +119,11 @@ We provide scripts for all the experiments in the [experiments](experiments) fol
 
 If you are interested in training CenterNet in a new dataset, use CenterNet in a new task, or use a new network architecture for CenterNet, please refer to [DEVELOP.md](readme/DEVELOP.md). Also feel free to send us emails for discussions or suggestions.
 
+## Third-party implementation
+
+- Keras: [keras-centernet](https://github.com/see--/keras-centernet) from [see--](https://github.com/see--).
+
+
 ## License
 
 CenterNet itself is released under the MIT License (refer to the LICENSE file for details).
diff --git a/readme/DATA.md b/readme/DATA.md
index 5a57694..492cd15 100644
--- a/readme/DATA.md
+++ b/readme/DATA.md
@@ -91,6 +91,13 @@ If you want to reproduce the results in the paper for benchmark evaluation and t
 
 - Run `python convert_kitti_to_coco.py` in `tools` to convert the annotation into COCO format. You can set `DEBUG=True` in `line 5` to visualize the annotation.
 
+- Link image folder
+
+  ~~~
+  cd ${CenterNet_ROOT}/data/kitti/
+  mkdir images
+  ln -s training/image_2 images/trainval
+  ~~~
 
 - The data structure should look like:
 
@@ -106,4 +113,4 @@ If you want to reproduce the results in the paper for benchmark evaluation and t
           `-- images
               |-- trainval
               |-- test
-  ~~~
\ No newline at end of file
+  ~~~
diff --git a/src/lib/models/networks/dlav0.py b/src/lib/models/networks/dlav0.py
index e7ca539..92fdbcf 100644
--- a/src/lib/models/networks/dlav0.py
+++ b/src/lib/models/networks/dlav0.py
@@ -639,9 +639,9 @@ def dla169up(classes, pretrained_base=None, **kwargs):
     return model
 '''
 
-def get_pose_net(heads, down_ratio=4, head_conv=256):
-  model = DLASeg('dla34', heads,
+def get_pose_net(num_layers, heads, add_conv=256, down_ratio=4):
+  model = DLASeg('dla{}'.format(num_layers), heads,
                  pretrained=True,
                  down_ratio=down_ratio,
                  head_conv=head_conv)
-  return model
\ No newline at end of file
+  return model