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fix --aligned-dir arg
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parent
b2d28e0b95
commit
4ff67ad26b
2 changed files with 19 additions and 12 deletions
4
main.py
4
main.py
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@ -166,8 +166,6 @@ if __name__ == "__main__":
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arguments.alpha = bool ( {"1":True,"0":False}[input("Export png with alpha channel? [0..1] (default 0) : ").lower()] )
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except:
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arguments.alpha = False
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arguments.erode_mask_modifier = np.clip ( int(arguments.erode_mask_modifier), -200, 200)
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arguments.blur_mask_modifier = np.clip ( int(arguments.blur_mask_modifier), -200, 200)
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@ -197,7 +195,7 @@ if __name__ == "__main__":
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convert_parser = subparsers.add_parser( "convert", help="Converter")
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convert_parser.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
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convert_parser.add_argument('--output-dir', required=True, action=fixPathAction, dest="output_dir", help="Output directory. This is where the converted files will be stored.")
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convert_parser.add_argument('--aligned-dir', action=fixPathAction, dest="aligned_dir", help="Aligned directory. This is where the aligned files stored. Not used in AVATAR model.")
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convert_parser.add_argument('--aligned-dir', action=fixPathAction, dest="aligned_dir", help="Aligned directory. This is where the extracted of dst faces stored. Not used in AVATAR model.")
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convert_parser.add_argument('--model-dir', required=True, action=fixPathAction, dest="model_dir", help="Model dir.")
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convert_parser.add_argument('--model', required=True, dest="model_name", choices=Path_utils.get_all_dir_names_startswith ( Path(__file__).parent / 'models' , 'Model_'), help="Type of model")
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convert_parser.add_argument('--ask-for-params', action="store_true", dest="ask_for_params", default=False, help="Ask for params.")
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@ -202,15 +202,14 @@ class ConvertSubprocessor(SubprocessorBase):
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def get_start_return(self):
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return self.files_processed, self.faces_processed
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def main (input_dir, output_dir, aligned_dir, model_dir, model_name, **in_options):
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def main (input_dir, output_dir, model_dir, model_name, aligned_dir=None, **in_options):
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print ("Running converter.\r\n")
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debug = in_options['debug']
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try:
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input_path = Path(input_dir)
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output_path = Path(output_dir)
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aligned_path = Path(aligned_dir)
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output_path = Path(output_dir)
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model_path = Path(model_dir)
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if not input_path.exists():
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@ -223,9 +222,7 @@ def main (input_dir, output_dir, aligned_dir, model_dir, model_name, **in_option
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else:
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output_path.mkdir(parents=True, exist_ok=True)
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if not aligned_path.exists():
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print('Aligned directory not found. Please ensure it exists.')
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return
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if not model_path.exists():
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print('Model directory not found. Please ensure it exists.')
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@ -244,9 +241,21 @@ def main (input_dir, output_dir, aligned_dir, model_dir, model_name, **in_option
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if obj_op == 'init':
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converter = obj['converter']
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break
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alignments = {}
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if converter.get_mode() == ConverterBase.MODE_FACE:
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alignments = None
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if converter.get_mode() == ConverterBase.MODE_FACE:
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if aligned_dir is None:
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print('Aligned directory not found. Please ensure it exists.')
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return
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aligned_path = Path(aligned_dir)
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if not aligned_path.exists():
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print('Aligned directory not found. Please ensure it exists.')
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return
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alignments = {}
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aligned_path_image_paths = Path_utils.get_image_paths(aligned_path)
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for filename in tqdm(aligned_path_image_paths, desc= "Collecting alignments" ):
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a_png = AlignedPNG.load( str(filename) )
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