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add dataset maker for more easy training

#1
by netynet - opened
base: refs/heads/main
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from: refs/pr/1
Discussion Files changed
+9683
-3262
move from rvc webui645c2168
Update app.py5459d707
Update app.py3b574d5a
Update app.py015a5f19
Update app.py8fe2bf8f
feat: trainingd07b6f4f
fix: move i18n code to here921a996b
Update app.py28cee669
feat: hubert featuresa0ad8230
build: pin fairseq versione303db41
fix: disable jite6d6bb1f
feat: restore exp0ae5ec9c
fix: preventing multi-processb0f46bac
feat: tab uiea3ebc04
fix: pre-trained modelee47d2bd
feat: allow user to manually select the experiment directory0e6fd1f5
feat: early return when trained 10 epochfa9dd69d
feat: train index4b56fbf1
feat: infer3a010aa7
feat: better ui38548f20
perf: set batch size to 32771996de
fix: demucs import385c19b1
perf: set batch size to 128a0da4cc9
feat: download infer pack83ea1109
perf: set batch size to 648fdcaa32
fix: infer when no index file0293e4c1
feat: change model name6db8e8a4
feat: show download button on audio24caa861
fix: ffmpeg does not overwrite the merged audio4a7b229c
feat: upload expdir to hugging faceb4b39990
feat: restore from hf1d37aeb9
netynet
No description provided.
add daataset maker for more easy training279af657
netynet changed pull request title from add daataset maker for more easy training to add dataset maker for more easy training
JacobLinCool
 Owner

Hi @Nex432,

Thanks! This should make the training process easier!

I have a couple of thoughts:

  • We might need to add the yt_dlp package to requirements.txt.
  • The slicer functions can be reused by importing slicer.py.

I'll go ahead and merge it first. If there are any issues afterward, I'll address them.

JacobLinCool changed pull request status to merged
netynet

alright

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