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The following error occurs when I run demo.py to test the Lidar data for nuscenes:
2024-07-31 10:22:55,076 INFO -----------------Quick Demo of OpenPCDet-------------------------
2024-07-31 10:22:55,076 INFO Total number of samples: 3
/home/user/anaconda3/envs/dsvt/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1695392035629/work/aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
2024-07-31 10:22:55,186 INFO ==> Loading parameters from checkpoint ckpt/DSVT_Nuscenes_val.pth to CPU
2024-07-31 10:22:55,213 INFO ==> Done (loaded 449/449)
Traceback (most recent call last):
File "/home/user/Pycharm_Project/DSVT-master/tools/demo.py", line 112, in <module>
main()
File "/home/user/Pycharm_Project/DSVT-master/tools/demo.py", line 94, in main
for idx, data_dict in enumerate(demo_dataset):
File "/home/user/Pycharm_Project/DSVT-master/tools/demo.py", line 59, in __getitem__
data_dict = self.prepare_data(data_dict=input_dict)
File "/home/user/Pycharm_Project/DSVT-master/pcdet/datasets/dataset.py", line 180, in prepare_data
data_dict = self.point_feature_encoder.forward(data_dict)
File "/home/user/Pycharm_Project/DSVT-master/pcdet/datasets/processor/point_feature_encoder.py", line 29, in forward
data_dict['points'], use_lead_xyz = getattr(self, self.point_encoding_config.encoding_type)(
File "/home/user/Pycharm_Project/DSVT-master/pcdet/datasets/processor/point_feature_encoder.py", line 48, in absolute_coordinates_encoding
assert points.shape[-1] == len(self.src_feature_list)
AssertionError
I've tried removing the 'timestamp' field from POINT_FEATURE_ENCODING in nuscenes_dataset.yaml, but it still doesn't run!
2024-07-31 10:34:15,288 INFO -----------------Quick Demo of OpenPCDet-------------------------
2024-07-31 10:34:15,288 INFO Total number of samples: 3
/home/user/anaconda3/envs/dsvt/lib/python3.9/site-packages/torch/functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at /opt/conda/conda-bld/pytorch_1695392035629/work/aten/src/ATen/native/TensorShape.cpp:3526.)
return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
2024-07-31 10:34:15,368 INFO ==> Loading parameters from checkpoint /home/user/Pycharm_Project/DSVT-master/ckpt/DSVT_Nuscenes_val.pth to CPU
2024-07-31 10:34:15,387 INFO Not updated weight vfe.pfn_layers.0.linear.weight: torch.Size([64, 10])
2024-07-31 10:34:15,387 INFO ==> Done (loaded 448/449)
2024-07-31 10:34:15,543 INFO Visualized sample index: 1
Traceback (most recent call last):
File "/home/user/Pycharm_Project/DSVT-master/tools/demo.py", line 112, in <module>
main()
File "/home/user/Pycharm_Project/DSVT-master/tools/demo.py", line 100, in main
V.draw_scenes(
File "/home/user/Pycharm_Project/DSVT-master/tools/visual_utils/open3d_vis_utils.py", line 70, in draw_scenes
vis = draw_box(vis, ref_boxes, (0, 1, 0), ref_labels, ref_scores)
File "/home/user/Pycharm_Project/DSVT-master/tools/visual_utils/open3d_vis_utils.py", line 109, in draw_box
line_set.paint_uniform_color(box_colormap[ref_labels[i]])
IndexError: list index out of range
The text was updated successfully, but these errors were encountered:
Can anyone tell me how to fix it?
command:
python tools/demo.py --cfg_file tools/cfgs/dsvt_models/dsvt_plain_1f_onestage_nusences.yaml --data_path demo --ckpt ckpt/DSVT_Nuscenes_val.pth
The following error occurs when I run demo.py to test the Lidar data for nuscenes:
I've tried removing the 'timestamp' field from POINT_FEATURE_ENCODING in nuscenes_dataset.yaml, but it still doesn't run!
POINT_FEATURE_ENCODING: { encoding_type: absolute_coordinates_encoding, used_feature_list: ['x', 'y', 'z', 'intensity', 'timestamp'], src_feature_list: ['x', 'y', 'z', 'intensity', 'timestamp'], }
The error is as follows:
The text was updated successfully, but these errors were encountered: