Comments (4)
I am also experiencing the same issue. It was working fine when I tried it before, but after Google updated the Colab Python package, some problems occurred. Although the program can still run, the results are not accurate (as described above, i.e., dense and repeated tokens).
If it's possible to ask the author to verify if the Colab program runs correctly now? I would also appreciate it if the author could provide a complete list of dependent packages (as well as the ubuntu version and python version). Thank you!
from video-bgm-generation.
I am also experiencing the same issue. It was working fine when I tried it before, but after Google updated the Colab Python package, some problems occurred. Although the program can still run, the results are not accurate (as described above, i.e., dense and repeated tokens).
If it's possible to ask the author to verify if the Colab program runs correctly now? I would also appreciate it if the author could provide a complete list of dependent packages (as well as the ubuntu version and python version). Thank you!
Same problem. It would be better if the author could provide a docker image.
from video-bgm-generation.
I am also experiencing the same issue. It was working fine when I tried it before, but after Google updated the Colab Python package, some problems occurred. Although the program can still run, the results are not accurate (as described above, i.e., dense and repeated tokens).
If it's possible to ask the author to verify if the Colab program runs correctly now? I would also appreciate it if the author could provide a complete list of dependent packages (as well as the ubuntu version and python version). Thank you!
I reinstalled the visbeat3, which seems to fix the issue. It's the inaccurate prediction of the tempo of the video by the visbeat3 package that causes the problem.
from video-bgm-generation.
I am also experiencing the same issue. It was working fine when I tried it before, but after Google updated the Colab Python package, some problems occurred. Although the program can still run, the results are not accurate (as described above, i.e., dense and repeated tokens).
If it's possible to ask the author to verify if the Colab program runs correctly now? I would also appreciate it if the author could provide a complete list of dependent packages (as well as the ubuntu version and python version). Thank you!Same problem. It would be better if the author could provide a docker image.
Based on the following image (by NVIDIA) with Python 3.6.9, I was able to run it without any issues. The results are also as expected.
image:
nvidia/cuda:11.1.1-cudnn8-devel-ubuntu18.04
from video-bgm-generation.
Related Issues (20)
- Error(s) in loading state_dict for DataParallel HOT 8
- Bugs encountered while using the inference code "gen_midi_conditional.py" in "src/" folder HOT 23
- TypeError: 'NoneType' object is not callable HOT 2
- ε ³δΊι³θ½¨ HOT 4
- Google colab error HOT 2
- User defined features HOT 4
- some question about 'encoder_hidden' HOT 13
- Can't download the right .sf2 file from the way mentioned in CMT.ipynb HOT 1
- Objective Evaluation code HOT 1
- Objective Evaluation HOT 2
- Unavailable Dataset Link HOT 1
- The role of 'processed_mid' HOT 2
- what's the version of your python? HOT 1
- the use of fast_transformers?
- Different length of input and output HOT 1
- How to control the genre of the generated music HOT 1
- How to address TypeError: 'NoneType' object is not callable?
- Unavailable dataset link HOT 2
- CUDA error: CUBLAS_STATUS_NOT_INITIALIZED when calling cublasCreate(handle)
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