Comments (4)
We are gradually updating our release. Your patience is appreciated :)
from cam4docc.
We directly integrate the Cam4DOcc dataset generation pipeline into the dataloader. Please pull our newest code and run again.
from cam4docc.
thanks for your reply, there still are some path error
Traceback (most recent call last):
File "tools/train.py", line 204, in <module>
main()
File "tools/train.py", line 114, in main
plg_lib = importlib.import_module(_module_path)
File "/home/glj/miniconda3/envs/cam4docc/lib/python3.7/importlib/__init__.py", line 122, in import_module
raise TypeError(msg.format(name))
TypeError: the 'package' argument is required to perform a relative import for '..projects.occ_plugin'
Traceback (most recent call last):
File "/home/glj/miniconda3/envs/cam4docc/lib/python3.7/site-packages/mmcv/utils/registry.py", line 52, in build_from_cfg
return obj_cls(**args)
File "/home/glj/roseupram/cam4/projects/occ_plugin/datasets/cam4docc_dataset.py", line 67, in __init__
self.nusc = NuScenes(version='v1.0-trainval', dataroot='/mnt/share_disk/dataset/nuscenes/data', verbose=False)
File "/home/glj/miniconda3/envs/cam4docc/lib/python3.7/site-packages/nuscenes/nuscenes.py", line 62, in __init__
assert osp.exists(self.table_root), 'Database version not found: {}'.format(self.table_root)
AssertionError: Database version not found: /mnt/share_disk/dataset/nuscenes/data/v1.0-trainval
from cam4docc.
We have fixed the first bug. The second one is caused by the incorrect nuscenes dataset path. You can follow our data structure to avoid it, but be sure that you have pulled the fresh code.
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Related Issues (14)
- When will the code be released? HOT 3
- how much GPU memory do we need? HOT 9
- How to use nuScenes V1.0-mini for training and evaluation HOT 1
- Error with running a baseline HOT 1
- How many GPU resources does this task require in total? HOT 2
- about computation cost HOT 1
- About training time HOT 3
- Wrap feature possible issue HOT 1
- generating time
- How to change the grid_size?
- 4D annotations HOT 2
- Invite your POSTER for our pre-heat for the CVPR offline conference in Seattle
- An question about Depth loss
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