Comments (1)
Thank for your feedback:
For 1st ERROR, i will fix the bug.
For 2nd ERROR, you may update the version of decord and check the video path is correct and check if the video is damaged.
from x-temporal.
Related Issues (20)
- Could you release trained models? HOT 2
- evaluate on test dataset when training? HOT 7
- meta_file when training?
- In linear_sampler(data, bias), bias 'shape should N*T*G? HOT 1
- forkserver HOT 1
- how to get the TIN pretrain model in Kinetics-600? HOT 1
- Feature extraction HOT 1
- Loss is zero when using single GPU
- RuntimeError: DataLoader worker (pid(s) 1995171, 1996371) exited unexpectedly HOT 2
- Abort the multi-label HOT 4
- Pretrained model config file HOT 5
- About the model result HOT 4
- Prediction demo using different pretrained models HOT 2
- How can you get the meta files: .tex > Thanks for your feedback. You can set trainer.no_partial_bn = True if batch size >= 6 in each gpu and retry it, this will not affect the accuracy. That module exists some bug with distributed training, we will fix it quickly. HOT 1
- issues with pytorch version higher than 1.4.0 HOT 1
- `AverageMeter` is not correct HOT 1
- When training,the log file stop at 'save_dir: checkpoint/' and with no update again HOT 1
- without close tensorboard, there will be a EOFError at the end of training HOT 1
- Can this project continue to be updated
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from x-temporal.