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Function create_face_landmarker_program

facefusion/program.py:111–117  ·  view source on GitHub ↗
()

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109
110
111def create_face_landmarker_program() -> ArgumentParser:
112 program = ArgumentParser(add_help = False)
113 group_face_landmarker = program.add_argument_group('face landmarker')
114 group_face_landmarker.add_argument('--face-landmarker-model', help = translator.get('help.face_landmarker_model'), default = config.get_str_value('face_landmarker', 'face_landmarker_model', '2dfan4'), choices = facefusion.choices.face_landmarker_models)
115 group_face_landmarker.add_argument('--face-landmarker-score', help = translator.get('help.face_landmarker_score'), type = float, default = config.get_float_value('face_landmarker', 'face_landmarker_score', '0.5'), choices = facefusion.choices.face_landmarker_score_range, metavar = create_float_metavar(facefusion.choices.face_landmarker_score_range))
116 job_store.register_step_keys([ 'face_landmarker_model', 'face_landmarker_score' ])
117 return program
118
119
120def create_face_selector_program() -> ArgumentParser:

Callers 1

collect_step_programFunction · 0.85

Calls 1

create_float_metavarFunction · 0.90

Tested by

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