Merge pull request #328 from ak8893893/main

Update LOCAL.md
This commit is contained in:
Songting
2023-07-11 20:20:05 +08:00
committed by GitHub
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@@ -91,18 +91,28 @@
```
Replace `"{PRETRAINED_MODEL}"` with one of `{CJ, CJE, C}` according to your previous model choice.
Make sure you have a minimum GPU memory of 12GB. If not, change the argument `whisper_size` to `medium` or `small`.
11. Process all text data.
10. Process all text data.
If you choose to add auxiliary data, run `python preprocess_v2.py --add_auxiliary_data True --languages "{PRETRAINED_MODEL}"`
If not, run `python3.8 preprocess_v2.py --languages "{PRETRAINED_MODEL}"`
If not, run `python preprocess_v2.py --languages "{PRETRAINED_MODEL}"`
Do replace `"{PRETRAINED_MODEL}"` with one of `{CJ, CJE, C}` according to your previous model choice.
12. Start Training.
11. Start Training.
Run `python finetune_speaker_v2.py -m ./OUTPUT_MODEL --max_epochs "{Maximum_epochs}" --drop_speaker_embed True`
Do replace `{Maximum_epochs}` with your desired number of epochs. Empirically, 100 or more is recommended.
To continue training on previous checkpoint, change the training command to: `python finetune_speaker_v2.py -m ./OUTPUT_MODEL --max_epochs "{Maximum_epochs}" --drop_speaker_embed False --cont True`. Before you do this, make sure you have previous `G_latest.pth` and `D_latest.pth` under `./OUTPUT_MODEL/` directory.
To view training progress, open a new terminal and `cd` to the project root directory, run `tensorboard --logdir=./OUTPUT_MODEL`, then visit `localhost:6006` with your web browser.
13. After training is completed, you can use your model by running:
12. After training is completed, you can use your model by running:
`python VC_inference.py --model_dir ./OUTPUT_MODEL/G_latest.pth --share True`
14. To clear all audio data, run:
13. To clear all audio data, run:
### Linux
```
rm -rf ./custom_character_voice/* ./video_data/* ./raw_audio/* ./denoised_audio/* ./segmented_character_voice/* long_character_anno.txt short_character_anno.txt
rm -rf ./custom_character_voice/* ./video_data/* ./raw_audio/* ./denoised_audio/* ./segmented_character_voice/* ./separated/* long_character_anno.txt short_character_anno.txt
```
### Windos
```
del /Q /S .\custom_character_voice\* .\video_data\* .\raw_audio\* .\denoised_audio\* .\segmented_character_voice\* .\separated\* long_character_anno.txt short_character_anno.txt
```