You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Evaluation results could be relatively low because of the e to variations in sensor modalities between the sample dataset
@@ -203,10 +203,10 @@ the base link location of the vehicle.
203
203
The lidar_centerpoint implementation requires two ONNX models as input the voxel encoder and the backbone-neck-head of the CenterPoint model, other aspects of the network,
204
204
such as preprocessing operations, are implemented externally. Under the fork of the mmdetection3d repository,
205
205
we have included a script that converts the CenterPoint model to Autoware compatible ONNX format.
206
-
You can find it in `mmdetection3d/tools/centerpoint_onnx_converter.py` file.
206
+
You can find it in `mmdetection3d/projects/AutowareCenterPoint` file.
0 commit comments