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DFL now works with JPG files by default. Old PNG files also supported. Added util convertor PNG to JPG.
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9 changed files with 400 additions and 92 deletions
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@ -6,6 +6,7 @@ from pathlib import Path
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from utils import Path_utils
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from utils.DFLPNG import DFLPNG
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from utils.DFLJPG import DFLJPG
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from .Sample import Sample
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from .Sample import SampleType
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@ -54,21 +55,22 @@ class SampleLoader:
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sample_list = []
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for s in tqdm( samples, desc="Loading", ascii=True ):
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s_filename_path = Path(s.filename)
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if s_filename_path.suffix != '.png':
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print ("%s is not a png file required for training" % (s_filename_path.name) )
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continue
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dflpng = DFLPNG.load ( str(s_filename_path), print_on_no_embedded_data=True )
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if dflpng is None:
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if s_filename_path.suffix == '.png':
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dflimg = DFLPNG.load ( str(s_filename_path), print_on_no_embedded_data=True )
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if dflimg is None: continue
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elif s_filename_path.suffix == '.jpg':
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dflimg = DFLJPG.load ( str(s_filename_path), print_on_no_embedded_data=True )
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if dflimg is None: continue
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else:
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print ("%s is not a dfl image file required for training" % (s_filename_path.name) )
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continue
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sample_list.append( s.copy_and_set(sample_type=SampleType.FACE,
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face_type=FaceType.fromString (dflpng.get_face_type()),
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shape=dflpng.get_shape(),
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landmarks=dflpng.get_landmarks(),
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yaw=dflpng.get_yaw_value()) )
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face_type=FaceType.fromString (dflimg.get_face_type()),
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shape=dflimg.get_shape(),
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landmarks=dflimg.get_landmarks(),
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yaw=dflimg.get_yaw_value()) )
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return sample_list
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