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dotchen / LAV

(CVPR 2022) A minimalist, mapless, end-to-end self-driving stack for joint perception, prediction, planning and control.
https://dotchen.github.io/LAV/
Apache License 2.0
400 stars 69 forks source link

fix: when data folder have data.mdb missing #17

Closed Kin-Zhang closed 2 years ago

Kin-Zhang commented 2 years ago

continue the training step without a break

otherwise, there may be an error like here:

File "/LAV/lav/utils/datasets/lidar_painted_dataset.py", line 27, in __getitem__
  lidar_painted = self.__class__.access('lidar_sem', lmdb_txn, index, 1).reshape(-1,len(self.seg_channels))
File "/LAV/lav/utils/datasets/basic_dataset.py", line 83, in <listcomp>
  return np.stack([np.frombuffer(lmdb_txn.get((f'{tag}_{t:05d}{suffix}').encode()), dtype) for t in range(index,index+T)])
TypeError: a bytes-like object is required, not 'NoneType'

and these issues related: https://github.com/dotchen/LAV/issues/2#issuecomment-1148136434 https://github.com/dotchen/LAV/issues/9#issue-1194395147

dotchen commented 2 years ago

LGTM. thanks for the PR!

viola521 commented 1 year ago

I also meet this issue, should I train the model depend your all the step ? how about the dataset requirement ,I just download 5134 frames,is this too little to run a robust model?