CalvinBackup/iperov-DeepFaceLab
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added new model U-net Face Morpher.

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removed AVATAR - useless model was just for demo
removed MIAEF128 - use UFM insted
removed LIAEF128YAW - use model option sort by yaw on start for any model
All models now ask some options on start.
Session options (such as target epoch, batch_size, write_preview_history etc) can be overrided by special command arg.
Converter now always ask options and no more support to define options via command line.
fix bug when ConverterMasked always used not predicted mask.
SampleGenerator now always generate samples with replicated border, exclude mask samples.
refactorings
This commit is contained in:
iperov
2019-01-02 17:26:12 +04:00
parent f3782a012b
commit 7b70e7eec1
29 changed files with 673 additions and 1013 deletions
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models/Model_DF/Model.py
+10 -11
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@@ -38,7 +38,8 @@ class Model(ModelBase):
if self.is_training_mode:
f = SampleProcessor.TypeFlags
self.set_training_data_generators ([
SampleGeneratorFace(self.training_data_src_path, debug=self.is_debug(), batch_size=self.batch_size,
SampleGeneratorFace(self.training_data_src_path, sort_by_yaw_target_samples_path=self.training_data_dst_path if self.sort_by_yaw else None,
debug=self.is_debug(), batch_size=self.batch_size,
output_sample_types=[ [f.WARPED_TRANSFORMED | f.FACE_ALIGN_FULL | f.MODE_BGR, 128],
[f.TRANSFORMED | f.FACE_ALIGN_FULL | f.MODE_BGR, 128],
[f.TRANSFORMED | f.FACE_ALIGN_FULL | f.MODE_M | f.FACE_MASK_FULL, 128] ] ),
@@ -107,16 +108,14 @@ class Model(ModelBase):
#override
def get_converter(self, **in_options):
from models import ConverterMasked
if 'erode_mask_modifier' not in in_options.keys():
in_options['erode_mask_modifier'] = 0
in_options['erode_mask_modifier'] += 30
if 'blur_mask_modifier' not in in_options.keys():
in_options['blur_mask_modifier'] = 0
return ConverterMasked(self.predictor_func, predictor_input_size=128, output_size=128, face_type=FaceType.FULL, clip_border_mask_per=0.046875, **in_options)
from models import ConverterMasked
return ConverterMasked(self.predictor_func,
predictor_input_size=128,
output_size=128,
face_type=FaceType.FULL,
base_erode_mask_modifier=30,
base_blur_mask_modifier=100,
**in_options)
def Build(self, input_layer):
exec(nnlib.code_import_all, locals(), globals())