AttributeError: 'DetectFeatLmdb' object has no attribute 'env'
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- Python
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Description
when I run python train_re.py --config config/train-refcoco-base-1gpu.json --output_dir $RE_EXP
I just get this result.
03/11/2021 11:44:06 - INFO - __main__ - Loading Train Dataset /txt_db/refcoco_train.db, /img_db/re_coco_gt
/img_db/re_coco_gt
/txt_db/refcoco_train.db
Traceback (most recent call last):
File "train_re.py", line 461, in
main(args)
File "train_re.py", line 129, in main
ReDataset, re_collate, opts)
File "train_re.py", line 46, in create_dataloader
num_bb, opts.compressed_db)
File "/src/data/data.py", line 75, in __init__
readahead=not _check_distributed())
lmdb.Error: /img_db/re_coco_gt/feat_numbb100: No such file or directory
Exception ignored in: >
Traceback (most recent call last):
File "/src/data/data.py", line 98, in __del__
self.env.close()
AttributeError: 'DetectFeatLmdb' object has no attribute 'env'
Does anyone know this?
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Research direction
Reproduce the command from train_re.py and inspect create_dataloader around line 46, then trace DetectFeatLmdb initialization and cleanup in data/data.py around lines 75 and 98. Check the expected dataset paths against the configured /img_db/re_coco_gt location; done means the command loads the dataset without the missing-path failure or the secondary env AttributeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100