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Hi,
First, thank you for the great work!
I followed the first a few examples to train the models and got some outputs with default raw dataset. Now, I would like to input my own .mid file but face the error:
Traceback (most recent call last):
File "deepBach.py", line 183, in
main()
File "deepBach.py", line 125, in main
note2index=note2indexes[0])
TypeError: part_to_inputs() missing 1 required positional argument: 'length'
I noticed #43 also encountered the same problem but there seems not to have new commits after the issue. I am wondering if any updates will be available soon?
Also, I found that #6 also tried to supplied customer melody but was able to get valid outputs. May I know if some older versions of the project work? Would you suggest using an old version to get it work with -m option for now?
Thank you!
The text was updated successfully, but these errors were encountered:
The version at this commit Fixes #20 seems to work (with the provided god_save_the_queen.mid file).
But I can't get as good results as in the demos using the "--ext big" models explained in the examples. It is even worse if I use the pretrained model. Maybe there's some parameter tuning work to do, or there are further essential improvements after that commit.
Hi,
I just pushed a new PyTorch version. I hope that this solves your problems. The architecture has not been optimized at all but it still gives decent results.
Hi,
First, thank you for the great work!
I followed the first a few examples to train the models and got some outputs with default raw dataset. Now, I would like to input my own .mid file but face the error:
I noticed #43 also encountered the same problem but there seems not to have new commits after the issue. I am wondering if any updates will be available soon?
Also, I found that #6 also tried to supplied customer melody but was able to get valid outputs. May I know if some older versions of the project work? Would you suggest using an old version to get it work with -m option for now?
Thank you!
The text was updated successfully, but these errors were encountered: