Mano, T.

I had the same problem. I tried to port pointpillar to this config (https://github.com/tianweiy/CenterPoint/blob/new_release/configs/waymo/voxelnet/waymo_centerpoint_voxelnet_ Three_sweeps_20e_iou_pred.py) to port pointpillar to this config (https://github.com/tianweiy/CenterPoint/blob/new_release/configs/waymo/ pp/waymo_centerpoint_pp_two_pfn_stride1_3x.py) to port the pointpillar. If you have...

I guess I forgot to change train_pipeline. This fixed the problem. Thank you so much for your help.

If I may ask one more question, is it possible to change the .new_release to pointpillar? If you have a config that has been ported, I would appreciate it if...

Thank you for teaching me so kindly. I will try those changes.

@tianweiy Add pc_range and voxel_size to assigner, use_rotate_nms=True, use_multi_class_nms=False, cf_weight=2 to test_cfg, and voxel_generator to new_release's config. release config. I have the following settings, but I seem to get an...

thx, I changed forward function of point_pillars.py to this. ``` def forward(self, example, return_loss=True, **kwargs): voxels = example["voxels"] coordinates = example["coordinates"] num_points_in_voxel = example["num_points"] num_voxels = example["num_voxels"] batch_size = len(num_voxels)...

After making the above changes, I was able to successfully start learning! Thank you so much!

@tianweiy Hello. Thank you for everything you did for me I have successfully implemented PointPillar based on CenterPoint++, but the inference speed seems to be lower than that of Voxelnet-base....

I see...thank you very much. I apologize for the trouble I have caused you with my lack of understanding. I will try using #157 (comment) for inference. Regarding the reimplementation...