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fix DFLJPG,
SAE: added "rare sample booster" SAE: pixel loss replaced to smooth transition from DSSIM to PixelLoss in 15k epochs by default
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commit
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11 changed files with 174 additions and 101 deletions
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@ -1,3 +1,4 @@
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import traceback
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from enum import IntEnum
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import cv2
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import numpy as np
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@ -56,22 +57,25 @@ class SampleLoader:
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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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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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try:
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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 (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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sample_list.append( s.copy_and_set(sample_type=SampleType.FACE,
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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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except:
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print ("Unable to load %s , error: %s" % (str(s_filename_path), traceback.format_exc() ) )
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return sample_list
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@staticmethod
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@ -120,7 +124,7 @@ class SampleLoader:
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yaw = lowest_yaw + i*diff_rot_per_grad
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next_yaw = lowest_yaw + (i+1)*diff_rot_per_grad
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yaw_samples = []
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yaw_samples = []
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for s in samples:
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s_yaw = s.yaw
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if (i == 0 and s_yaw < next_yaw) or \
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