github/DeepFaceLab
1
0
Fork 0
mirror of https://github.com/iperov/DeepFaceLab.git synced 2025-07-07 05:22:06 -07:00
Code Issues Projects Releases Packages Wiki Activity Actions

manual extractor: increased FPS,

Browse source 
sort by final : now you can specify target number of images,
converter: fix seamless mask and exception,
huge refactoring
This commit is contained in:
iperov 2019-02-28 11:56:31 +04:00
parent 7db469a1da
commit 438213e97c
30 changed files with 1834 additions and 1718 deletions
Download patch file Download diff file Expand all files Collapse all files

15
models/Model_H64/Model.py
View file

@ -4,14 +4,14 @@ from nnlib import nnlib
from models import ModelBase
from facelib import FaceType
from samples import *
from utils.console_utils import *
from interact import interact as io
class Model(ModelBase):
#override
def onInitializeOptions(self, is_first_run, ask_override):
if is_first_run:
self.options['lighter_ae'] = input_bool ("Use lightweight autoencoder? (y/n, ?:help skip:n) : ", False, help_message="Lightweight autoencoder is faster, requires less VRAM, sacrificing overall quality. If your GPU VRAM <= 4, you should to choose this option.")
self.options['lighter_ae'] = io.input_bool ("Use lightweight autoencoder? (y/n, ?:help skip:n) : ", False, help_message="Lightweight autoencoder is faster, requires less VRAM, sacrificing overall quality. If your GPU VRAM <= 4, you should to choose this option.")
else:
default_lighter_ae = self.options.get('created_vram_gb', 99) <= 4 #temporally support old models, deprecate in future
if 'created_vram_gb' in self.options.keys():
@ -20,12 +20,12 @@ class Model(ModelBase):
if is_first_run or ask_override:
def_pixel_loss = self.options.get('pixel_loss', False)
self.options['pixel_loss'] = input_bool ("Use pixel loss? (y/n, ?:help skip: n/default ) : ", def_pixel_loss, help_message="Default DSSIM loss good for initial understanding structure of faces. Use pixel loss after 20k epochs to enhance fine details and decrease face jitter.")
self.options['pixel_loss'] = io.input_bool ("Use pixel loss? (y/n, ?:help skip: n/default ) : ", def_pixel_loss, help_message="Default DSSIM loss good for initial understanding structure of faces. Use pixel loss after 20k epochs to enhance fine details and decrease face jitter.")
else:
self.options['pixel_loss'] = self.options.get('pixel_loss', False)
#override
def onInitialize(self, **in_options):
def onInitialize(self):
exec(nnlib.import_all(), locals(), globals())
self.set_vram_batch_requirements( {1.5:4} )
@ -127,15 +127,14 @@ class Model(ModelBase):
return np.concatenate ( (x,mx), -1 )
#override
def get_converter(self, **in_options):
from models import ConverterMasked
def get_converter(self):
from converters import ConverterMasked
return ConverterMasked(self.predictor_func,
predictor_input_size=64,
output_size=64,
face_type=FaceType.HALF,
base_erode_mask_modifier=100,
base_blur_mask_modifier=100,
**in_options)
base_blur_mask_modifier=100)
def Build(self, lighter_ae):
exec(nnlib.code_import_all, locals(), globals())