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Upgraded to TF version 1.13.2

Browse source 
Removed the wait at first launch for most graphics cards.

Increased speed of training by 10-20%, but you have to retrain all models from scratch.

SAEHD:

added option 'use float16'
	Experimental option. Reduces the model size by half.
	Increases the speed of training.
	Decreases the accuracy of the model.
	The model may collapse or not train.
	Model may not learn the mask in large resolutions.

true_face_training option is replaced by
"True face power". 0.0000 .. 1.0
Experimental option. Discriminates the result face to be more like the src face. Higher value - stronger discrimination.
Comparison - https://i.imgur.com/czScS9q.png
This commit is contained in:
Colombo 2020-01-25 21:58:19 +04:00
parent a3dfcb91b9
commit 76ca79216e
49 changed files with 1320 additions and 1297 deletions
Download patch file Download diff file Expand all files Collapse all files

24
samplelib/SampleHost.py
View file

@ -15,10 +15,6 @@ from .Sample import Sample, SampleType
class SampleHost:
samples_cache = dict()
@staticmethod
def get_person_id_max_count(samples_path):
@ -47,7 +43,7 @@ class SampleHost:
if sample_type == SampleType.IMAGE:
if samples[sample_type] is None:
samples[sample_type] = [ Sample(filename=filename) for filename in io.progress_bar_generator( pathex.get_image_paths(samples_path), "Loading") ]
elif sample_type == SampleType.FACE:
if samples[sample_type] is None:
try:
@ -61,12 +57,12 @@ class SampleHost:
if result is None:
result = SampleHost.load_face_samples( pathex.get_image_paths(samples_path) )
samples[sample_type] = result
elif sample_type == SampleType.FACE_TEMPORAL_SORTED:
result = SampleHost.load (SampleType.FACE, samples_path)
result = SampleHost.upgradeToFaceTemporalSortedSamples(result)
samples[sample_type] = result
return samples[sample_type]
@staticmethod
@ -92,17 +88,17 @@ class SampleHost:
source_filename=source_filename,
))
return sample_list
"""
@staticmethod
def load_face_samples ( image_paths):
sample_list = []
for filename in io.progress_bar_generator (image_paths, desc="Loading"):
dflimg = DFLIMG.load (Path(filename))
dflimg = DFLIMG.load (Path(filename))
if dflimg is None:
io.log_err (f"{filename} is not a dfl image file.")
else:
else:
sample_list.append( Sample(filename=filename,
sample_type=SampleType.FACE,
face_type=FaceType.fromString ( dflimg.get_face_type() ),
@ -114,15 +110,15 @@ class SampleHost:
))
return sample_list
"""
@staticmethod
def upgradeToFaceTemporalSortedSamples( samples ):
new_s = [ (s, s.source_filename) for s in samples]
new_s = sorted(new_s, key=operator.itemgetter(1))
return [ s[0] for s in new_s]
class FaceSamplesLoaderSubprocessor(Subprocessor):
#override
def __init__(self, image_paths ):