Veeranjaneyulu Toka
Veeranjaneyulu Toka
Thanks, but i do not see this option in xtreme as it shows below 
hi, Is there any update on this issue? i am also facing exactly same issue.
What format does it support (.bin, .pcd, .las etcc)?
Thanks for quick reply! Is there any guide on how to start annotating custom point cloud dataset as i am newbie here? I am not sure where to update object...
Thanks again for quick reply! BTW, what is the difference between basic.ai and xtreme?
Anybody has solution for this problem, i am also facing same issue.
@IdrissGo , did you change output_shape and trained a model. I have modified point_cloud_range, voxel_size, and out_size but i was getting the below error  Anything else that i need...
FYI, i have modified point_cloud_range, voxel_size, output_shape in pts_middle_encoder, grid_shape in train_cfg solved the issue and am able to train the model.
@zhutongseu1994 , I have adopted from the nuscenes evaluation code for evaluating in-house dataset and looks like it is working fine.
  As you can see in first pic, i created lidar-sp-GTs-correction and lidar_samples_pb from same dataset type which is lidar fusion. I uploaded both lidar samples and GTs...