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Hello VectorMapNet team,
I'm trying to train this model with camera + lidar (fusion) and facing some issues. I modified the config file to:
input_modality = dict( use_lidar=True, use_camera=True, use_radar=False, use_map=False, use_external=False)
and added use_lidar=True inside model/backbone in config. After the following changes, I got this error:
use_lidar=True
model/backbone
File "vector_map_net/plugin/models/mapers/base_mapper.py", line 91, in forward return self.forward_train(*args, **kwargs) File "vector_map_net/plugin/models/mapers/vectormapnet.py", line 109, in forward_train _bev_feats = self.backbone(img, img_metas=img_metas, points=points) File "/home/ubuntu/venv_lane_line_gt/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1051, in _call_impl return forward_call(*input, **kwargs) File "vector_map_net/plugin/models/backbones/ipm_backbone.py", line 230, in forward lidar_feat = self.get_lidar_feature(points) File "vector_map_net/plugin/models/backbones/ipm_backbone.py", line 286, in get_lidar_feature ptensor, pmask = points TypeError: cannot unpack non-iterable NoneType object
Looks like points is None, Can you help in fixing this issue.
None
The text was updated successfully, but these errors were encountered:
@jadhavan Have you solved this problem? Now I facing same problem. if you solved, could you tell me how to solve it. thank you.
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@longzuyan Have you solved this problem?
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Hello VectorMapNet team,
I'm trying to train this model with camera + lidar (fusion) and facing some issues. I modified the config file to:
and added
use_lidar=True
insidemodel/backbone
in config. After the following changes, I got this error:Looks like points is
None
, Can you help in fixing this issue.The text was updated successfully, but these errors were encountered: