Comments (2)
Excuse me,I meet same problems.
No.1 ”UnboundLocalError: local variable 'val_loss_epoch' referenced before assignment“;
For this problem I change some code then the problem fixed,but it comes new problem that same with this.
No.2 “best_model.path” is not update.
对不起,我也遇到同样的问题。
第1条问 “UnboundLocalError:赋值前引用的局部变量‘val_loss_epoch’”;对于这个问题,我更改了一些代码,然后问题得到了解决,但随之而来的是新问题。
第2条 “best_model.path”未更新。
from jmodt.
Traceback (most recent call last): File "tools/train.py", line 164, in main() File "tools/train.py", line 157, in main val_loader File "/home/my_com/virtualenv/JMODT/jmodt/utils/train_utils.py", line 198, in train prev_val_loss = val_loss_epoch
How can i solve it?
Nice to meet u,can u help me to how to fix the problem?
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Related Issues (15)
- Link to the paper HOT 1
- UnboundLocalError: local variable 'val_loss_epoch' referenced before assignment HOT 10
- how to use the dataset HOT 1
- Multiple GPUs for training HOT 3
- The problem of finetune the model jmodt.pth HOT 1
- Hello, where can I find these txt files? Or how do I need to create it? thanks!! HOT 2
- How to generate the three files test.txt, sample2frame.txt and seq2sample.txt? HOT 2
- ‘best_model.path’ HOT 5
- loss is zero HOT 20
- The parameters for Affinity Compution and data_association.
- About the Train Seq and Val Seq. HOT 1
- Feat Visualization Issues HOT 2
- error: protobuf 3.19.6 is installed but protobuf>=4.21.5 is required by {'ortools'}
- Quite a small sized images (.png) in the jmodt folder for visualization.
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