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SAE : WARNING, RETRAIN IS REQUIRED !
fixed model sizes from previous update. avoided bug in ML framework(keras) that forces to train the model on random noise. Converter: added blur on the same keys as sharpness Added new model 'TrueFace'. This is a GAN model ported from https://github.com/NVlabs/FUNIT Model produces near zero morphing and high detail face. Model has higher failure rate than other models. Keep src and dst faceset in same lighting conditions.
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26 changed files with 1308 additions and 250 deletions
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mainscripts/dev_misc.py
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mainscripts/dev_misc.py
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from . import Extractor
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from . import Sorter
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from pathlib import Path
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from utils import Path_utils
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import shutil
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from interact import interact as io
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def extract_vggface2_dataset(input_dir, device_args={} ):
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multi_gpu = device_args.get('multi_gpu', False)
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cpu_only = device_args.get('cpu_only', False)
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input_path = Path(input_dir)
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if not input_path.exists():
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raise ValueError('Input directory not found. Please ensure it exists.')
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output_path = input_path.parent / (input_path.name + '_out')
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dir_names = Path_utils.get_all_dir_names(input_path)
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if not output_path.exists():
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output_path.mkdir(parents=True, exist_ok=True)
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for dir_name in dir_names:
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cur_input_path = input_path / dir_name
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cur_output_path = output_path / dir_name
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io.log_info (f"Processing: {str(cur_input_path)} ")
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if not cur_output_path.exists():
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cur_output_path.mkdir(parents=True, exist_ok=True)
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Extractor.main( str(cur_input_path),
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str(cur_output_path),
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detector='s3fd',
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image_size=256,
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face_type='full_face',
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max_faces_from_image=1,
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device_args=device_args )
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io.log_info (f"Sorting: {str(cur_input_path)} ")
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Sorter.main (input_path=str(cur_output_path), sort_by_method='hist')
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try:
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io.log_info (f"Removing: {str(cur_input_path)} ")
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shutil.rmtree(cur_input_path)
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except:
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io.log_info (f"unable to remove: {str(cur_input_path)} ")
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