github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-07-05 20:42:11 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

AMP: default morph factor is now 0.5. Preview shows with 1.0

Browse source
This commit is contained in:
iperov 2021-07-17 10:27:07 +04:00
parent da8f33ee85
commit 959a3530f8
1 changed files with 4 additions and 4 deletions
Download patch file Download diff file Expand all files Collapse all files

8
models/Model_AMP/Model.py
View file

@ -46,7 +46,7 @@ class AMPModel(ModelBase):
default_e_dims = self.options['e_dims'] = self.load_or_def_option('e_dims', 64)
default_d_dims = self.options['d_dims'] = self.options.get('d_dims', None)
default_d_mask_dims = self.options['d_mask_dims'] = self.options.get('d_mask_dims', None)
default_morph_factor = self.options['morph_factor'] = self.options.get('morph_factor', 0.1)
default_morph_factor = self.options['morph_factor'] = self.options.get('morph_factor', 0.5)
default_masked_training = self.options['masked_training'] = self.load_or_def_option('masked_training', True)
default_eyes_mouth_prio = self.options['eyes_mouth_prio'] = self.load_or_def_option('eyes_mouth_prio', True)
default_uniform_yaw = self.options['uniform_yaw'] = self.load_or_def_option('uniform_yaw', False)
@ -780,9 +780,9 @@ class AMPModel(ModelBase):
i = np.random.randint(n_samples) if not for_history else 0
st = [ np.concatenate ((S[i], D[i], DD[i]*DDM_000[i]), axis=1) ]
st += [ np.concatenate ((SS[i], DD[i], SD_075[i] ), axis=1) ]
st += [ np.concatenate ((SS[i], DD[i], SD_100[i] ), axis=1) ]
result += [ ('AMP morph 0.75', np.concatenate (st, axis=0 )), ]
result += [ ('AMP morph 1.0', np.concatenate (st, axis=0 )), ]
st = [ np.concatenate ((DD[i], SD_025[i], SD_050[i]), axis=1) ]
st += [ np.concatenate ((SD_065[i], SD_075[i], SD_100[i]), axis=1) ]
@ -803,7 +803,7 @@ class AMPModel(ModelBase):
#override
def get_MergerConfig(self):
morph_factor = np.clip ( io.input_number ("Morph factor", 0.75, add_info="0.0 .. 1.0"), 0.0, 1.0 )
morph_factor = np.clip ( io.input_number ("Morph factor", 1.0, add_info="0.0 .. 1.0"), 0.0, 1.0 )
def predictor_morph(face):
return self.predictor_func(face, morph_factor)