deepinsight / deepinsight/insightface
When using Python 3, I found a very strange problem. Please let me know. Thank you very much
- Dominant language
- Python
- Stars
- 29.7k
- Forks
- 6.1k
- PR merge metrics
- No merged PRs in 30d
Description
call reset()
Traceback (most recent call last):
File "train.py", line 1025, in
main()
File "train.py", line 1022, in main
train_net(args)
File "train.py", line 1016, in train_net
epoch_end_callback = epoch_cb )
File "/home/xl/anaconda3/envs/test/lib/python3.5/site-packages/mxnet/module/base_module.py", line 520, in fit
next_data_batch = next(data_iter)
File "/home/xl/anaconda3/envs/test/lib/python3.5/site-packages/mxnet/io/io.py", line 230, in __next__
return self.next()
File "/home/xl/1mxnetinsight/insightface-master/src/data.py", line 860, in next
self.reset()
File "/home/xl/1mxnetinsight/insightface-master/src/data.py", line 753, in reset
random.shuffle(self.seq)
File "/home/xl/anaconda3/envs/test/lib/python3.5/random.py", line 281, in shuffle
x[i], x[j] = x[j], x[i]
TypeError: 'range' object does not support item assignment
(test) xl@xl-Alienware-13-R3:~/1mxnetinsight/insightface-master/src$
Contributor guide
No contributing guide indexed for this repository
Research direction
Start at src/data.py:753, where reset() calls random.shuffle(self.seq), and inspect how self.seq is initialized. Reproduce the training run from train.py and confirm that reset() completes under Python 3 without the reported TypeError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100