search

Eaphan / UPIDet

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection [NeurIPS2023]
Apache License 2.0
54 stars 7 forks source link

AttributeError: 'Conv1dBlock' object has no attribute 'conv_fn' #16

Closed Z-Lee-corder closed 1 year ago

Eaphan commented 1 year ago

Sorry for the mistake, you can pull the latest change and run it again.

Z-Lee-corder commented 1 year ago

Hello, I have rerun the program according to your update. The following error still occurs:

Traceback (most recent call last): File "/media/lizheng/Samsung/codes/BiProDet/tools/train.py", line 202, in main() File "/media/lizheng/Samsung/codes/BiProDet/tools/train.py", line 154, in main train_model( File "/media/lizheng/Samsung/codes/BiProDet/tools/train_utils/train_utils.py", line 111, in train_model accumulated_iter = train_one_epoch( File "/media/lizheng/Samsung/codes/BiProDet/tools/train_utils/train_utils.py", line 47, in train_one_epoch loss, tb_dict, disp_dict = model_func(model, batch) File "/media/lizheng/Samsung/codes/BiProDet/tools/../pcdet/models/init.py", line 42, in model_func ret_dict, tb_dict, disp_dict = model(batch_dict) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, kwargs) File "/media/lizheng/Samsung/codes/BiProDet/tools/../pcdet/models/detectors/point_3dssd.py", line 17, in forward batch_dict = cur_module(batch_dict) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, *kwargs) File "/media/lizheng/Samsung/codes/BiProDet/tools/../pcdet/models/backbones_3d/pointnet2_backbone.py", line 541, in forward li_xyz, li_features, li_vis, li_scores, image_x = self.SA_modules[i]( File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(input, kwargs) File "/media/lizheng/Samsung/codes/BiProDet/tools/../pcdet/ops/pointnet2/pointnet2_batch/pointnet2_modules.py", line 923, in forward feat_2d_to_3d = self.fuse3d_before_mlps(feat_2d_to_3d) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, kwargs) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/container.py", line 141, in forward input = module(input) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(*input, *kwargs) File "/media/lizheng/Samsung/codes/BiProDet/tools/../pcdet/ops/pointnet2/pointnet2_batch/pointnet2_utils.py", line 575, in forward x = self.norm(x) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1102, in _call_impl return forward_call(input, kwargs) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py", line 135, in forward self._check_input_dim(input) File "/home/lizheng/anaconda3/envs/open-mmlab/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py", line 408, in _check_input_dim raise ValueError("expected 4D input (got {}D input)".format(input.dim())) ValueError: expected 4D input (got 3D input)

Eaphan commented 1 year ago

You can pull the latest change and run it again.

In a commit, we wrongly define the Conv1dBlock function.