mirror of
https://github.com/deepfakes/faceswap
synced 2025-06-07 10:43:27 -04:00
73 lines
3 KiB
Python
73 lines
3 KiB
Python
#!/usr/bin/env python3
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""" Command Line Arguments for tools """
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import gettext
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import typing as T
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from lib.cli.args import FaceSwapArgs
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from lib.cli.actions import DirFullPaths, Radio
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# LOCALES
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_LANG = gettext.translation("tools.restore.cli", localedir="locales", fallback=True)
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_ = _LANG.gettext
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_HELPTEXT = _("This tool lets you perform actions on saved Faceswap models.")
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class ModelArgs(FaceSwapArgs):
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""" Class to perform actions on model files """
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@staticmethod
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def get_info() -> str:
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""" Return command information """
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return _("A tool for performing actions on Faceswap trained model files")
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@staticmethod
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def get_argument_list() -> list[dict[str, T.Any]]:
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""" Put the arguments in a list so that they are accessible from both argparse and gui """
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argument_list = []
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argument_list.append({
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"opts": ("-m", "--model-dir"),
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"action": DirFullPaths,
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"dest": "model_dir",
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"required": True,
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"help": _(
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"Model directory. A directory containing the model you wish to perform an action "
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"on.")})
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argument_list.append({
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"opts": ("-j", "--job"),
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"action": Radio,
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"type": str,
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"choices": ("inference", "nan-scan", "restore"),
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"required": True,
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"help": _(
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"R|Choose which action you want to perform."
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"\nL|'inference' - Create an inference only copy of the model. Strips any layers "
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"from the model which are only required for training. NB: This is for exporting "
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"the model for use in external applications. Inference generated models cannot be "
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"used within Faceswap. See the 'format' option for specifying the model output "
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"format."
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"\nL|'nan-scan' - Scan the model file for NaNs or Infs (invalid data)."
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"\nL|'restore' - Restore a model from backup.")})
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argument_list.append({
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"opts": ("-f", "--format"),
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"action": Radio,
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"type": str,
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"choices": ("h5", "saved-model"),
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"default": "h5",
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"group": _("inference"),
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"help": _(
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"R|The format to save the model as. Note: Only used for 'inference' job."
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"\nL|'h5' - Standard Keras H5 format. Does not store any custom layer "
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"information. Layers will need to be loaded from Faceswap to use."
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"\nL|'saved-model' - Tensorflow's Saved Model format. Contains all information "
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"required to load the model outside of Faceswap.")})
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argument_list.append({
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"opts": ("-s", "--swap-model"),
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"action": "store_true",
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"dest": "swap_model",
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"default": False,
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"group": _("inference"),
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"help": _(
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"Only used for 'inference' job. Generate the inference model for B -> A instead "
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"of A -> B.")})
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return argument_list
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