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SAE : WARNING, RETRAIN IS REQUIRED !

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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.
This commit is contained in:
Colombo 2019-09-19 11:13:56 +04:00
parent 201b762541
commit dc11ec32be
26 changed files with 1308 additions and 250 deletions
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6
samplelib/Sample.py
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@ -22,9 +22,10 @@ class SampleType(IntEnum):
QTY = 5
class Sample(object):
def __init__(self, sample_type=None, filename=None, face_type=None, shape=None, landmarks=None, ie_polys=None, pitch_yaw_roll=None, eyebrows_expand_mod=None, source_filename=None, mirror=None, close_target_list=None, fanseg_mask_exist=False):
def __init__(self, sample_type=None, filename=None, person_id=None, face_type=None, shape=None, landmarks=None, ie_polys=None, pitch_yaw_roll=None, eyebrows_expand_mod=None, source_filename=None, mirror=None, close_target_list=None, fanseg_mask_exist=False):
self.sample_type = sample_type if sample_type is not None else SampleType.IMAGE
self.filename = filename
self.person_id = person_id
self.face_type = face_type
self.shape = shape
self.landmarks = np.array(landmarks) if landmarks is not None else None
@ -36,10 +37,11 @@ class Sample(object):
self.close_target_list = close_target_list
self.fanseg_mask_exist = fanseg_mask_exist
def copy_and_set(self, sample_type=None, filename=None, face_type=None, shape=None, landmarks=None, ie_polys=None, pitch_yaw_roll=None, eyebrows_expand_mod=None, source_filename=None, mirror=None, close_target_list=None, fanseg_mask=None, fanseg_mask_exist=None):
def copy_and_set(self, sample_type=None, filename=None, person_id=None, face_type=None, shape=None, landmarks=None, ie_polys=None, pitch_yaw_roll=None, eyebrows_expand_mod=None, source_filename=None, mirror=None, close_target_list=None, fanseg_mask=None, fanseg_mask_exist=None):
return Sample(
sample_type=sample_type if sample_type is not None else self.sample_type,
filename=filename if filename is not None else self.filename,
person_id=person_id if person_id is not None else self.person_id,
face_type=face_type if face_type is not None else self.face_type,
shape=shape if shape is not None else self.shape,
landmarks=landmarks if landmarks is not None else self.landmarks.copy(),