Train problem
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Thank you for your reply! The dataset soft link seems to be successful because I can preprocess the dataset.
According to the information in your screenshot, the model fails to read the sign language images and raises an error "list index out of range". To locate the issue, you can check the type of the input data in the dataloader_video.py by 'print(type(video))' after line 107. You will mostly get a None output. Call me if you have further problems.
Thank you for your reply! Not due to insufficient disk space. The problem has been resolved as follows:
https://github.com/parlance/ctcdecode/issues/124
I don't have exact answers, but i figure that this may be attributed to that you may set a different number of classes with the target datasets? This issus may be related with the number of classes.
Thank you for your reply. The problem has been resolved. This is the problem with sclite. I have another question, can I execute the following command to continue training with the saved weights when my training process unexpectedly terminates.
python main.py --load-weights work_dir/baseline_res18/dev_23.60_epoch15_model.pt
Haha. Thank you. I used the wrong command.
Thank you for your reply! Not due to insufficient disk space. The problem has been resolved as follows: https://github.com/parlance/ctcdecode/issues/124
Hello, I have also encountered such a problem. The link is invalid. How was it resolved
You
Thank you for your reply! Not due to insufficient disk space. The problem has been resolved as follows: https://github.com/parlance/ctcdecode/issues/124
Hello, I have also encountered such a problem. The link is invalid. How was it resolved
You
Thank you for your reply! Not due to insufficient disk space. The problem has been resolved as follows: https://github.com/parlance/ctcdecode/issues/124
Hello, I have also encountered such a problem. The link is invalid. How was it resolved
Thank you very much for taking the time to reply to me. I will try it out