mirror of https://github.com/coqui-ai/TTS.git
Add metafile arg (#1977)
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@ -17,7 +17,7 @@ parser = argparse.ArgumentParser(
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Example runs:
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python TTS/bin/compute_embeddings.py --model_path speaker_encoder_model.pth --config_path speaker_encoder_config.json --config_dataset_path dataset_config.json
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python TTS/bin/compute_embeddings.py --model_path speaker_encoder_model.pth --config_path speaker_encoder_config.json --fomatter vctk --dataset_path /path/to/vctk/dataset --dataset_name my_vctk
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python TTS/bin/compute_embeddings.py --model_path speaker_encoder_model.pth --config_path speaker_encoder_config.json --fomatter vctk --dataset_path /path/to/vctk/dataset --dataset_name my_vctk --metafile /path/to/vctk/metafile.csv
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""",
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formatter_class=RawTextHelpFormatter,
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)
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@ -46,22 +46,27 @@ parser.add_argument("--no_eval", type=bool, help="Do not compute eval?. Default
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parser.add_argument(
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"--formatter_name",
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type=str,
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help="Name of the formatter to use. You either need to provicder this or `config_dataset_path`",
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help="Name of the formatter to use. You either need to provide this or `config_dataset_path`",
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default=None,
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)
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parser.add_argument(
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"--dataset_name",
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type=str,
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help="Name of the dataset to use. You either need to provicder this or `config_dataset_path`",
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help="Name of the dataset to use. You either need to provide this or `config_dataset_path`",
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default=None,
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)
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parser.add_argument(
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"--dataset_path",
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type=str,
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help="Path to the dataset. You either need to provicder this or `config_dataset_path`",
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help="Path to the dataset. You either need to provide this or `config_dataset_path`",
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default=None,
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)
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parser.add_argument(
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"--metafile",
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type=str,
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help="Path to the meta file. If not set, dataset formatter uses the default metafile if it is defined in the formatter. You either need to provide this or `config_dataset_path`",
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default=None,
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)
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args = parser.parse_args()
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use_cuda = torch.cuda.is_available() and not args.disable_cuda
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@ -74,6 +79,7 @@ else:
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c_dataset.formatter = args.formatter_name
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c_dataset.dataset_name = args.dataset_name
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c_dataset.path = args.dataset_path
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c_dataset.meta_file_train = args.metafile if args.metafile else None
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meta_data_train, meta_data_eval = load_tts_samples(c_dataset, eval_split=not args.no_eval)
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