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optimized face sample generator, CPU load is significantly reduced

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SAEHD:

added new option
GAN power 0.0 .. 10.0
	Train the network in Generative Adversarial manner.
	Forces the neural network to learn small details of the face.
	You can enable/disable this option at any time,
	but better to enable it when the network is trained enough.
	Typical value is 1.0
	GAN power with pretrain mode will not work.

Example of enabling GAN on 81k iters +5k iters
https://i.imgur.com/OdXHLhU.jpg
https://i.imgur.com/CYAJmJx.jpg

dfhd: default Decoder dimensions are now 48
the preview for 256 res is now correctly displayed

fixed model naming/renaming/removing

Improvements for those involved in post-processing in AfterEffects:

Codec is reverted back to x264 in order to properly use in AfterEffects and video players.

Merger now always outputs the mask to workspace\data_dst\merged_mask

removed raw modes except raw-rgb
raw-rgb mode now outputs selected face mask_mode (before square mask)

'export alpha mask' button is replaced by 'show alpha mask'.
You can view the alpha mask without recompute the frames.

8) 'merged *.bat' now also output 'result_mask.' video file.
8) 'merged lossless' now uses x264 lossless codec (before PNG codec)
result_mask video file is always lossless.

Thus you can use result_mask video file as mask layer in the AfterEffects.
This commit is contained in:
Colombo 2020-01-28 12:24:45 +04:00
parent 80f285067a
commit 7386a9d6fd
28 changed files with 455 additions and 363 deletions
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6
samplelib/SampleGeneratorFace.py
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@ -9,7 +9,7 @@ import numpy as np
from core import mplib
from core.joblib import SubprocessGenerator, ThisThreadGenerator
from facelib import LandmarksProcessor
from samplelib import (SampleGeneratorBase, SampleHost, SampleProcessor,
from samplelib import (SampleGeneratorBase, SampleLoader, SampleProcessor,
SampleType)
@ -39,7 +39,7 @@ class SampleGeneratorFace(SampleGeneratorBase):
else:
self.generators_count = max(1, generators_count)
samples = SampleHost.load (SampleType.FACE, self.samples_path)
samples = SampleLoader.load (SampleType.FACE, self.samples_path)
self.samples_len = len(samples)
if self.samples_len == 0:
@ -48,7 +48,7 @@ class SampleGeneratorFace(SampleGeneratorBase):
index_host = mplib.IndexHost(self.samples_len)
if random_ct_samples_path is not None:
ct_samples = SampleHost.load (SampleType.FACE, random_ct_samples_path)
ct_samples = SampleLoader.load (SampleType.FACE, random_ct_samples_path)
ct_index_host = mplib.IndexHost( len(ct_samples) )
else:
ct_samples = None