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all models: removed options 'src_scale_mod', and 'sort samples by yaw as target'

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If you want, you can manually remove unnecessary angles from src faceset after sort by yaw.

Optimized sample generators (CPU workers). Now they consume less amount of RAM and work faster.

added
4.2.other) data_src/dst util faceset pack.bat
	Packs /aligned/ samples into one /aligned/samples.pak file.
	After that, all faces will be deleted.

4.2.other) data_src/dst util faceset unpack.bat
	unpacks faces from /aligned/samples.pak to /aligned/ dir.
	After that, samples.pak will be deleted.

Packed faceset load and work faster.
This commit is contained in:
Colombo 2019-12-21 23:16:55 +04:00
parent 8866dce22e
commit 50f892d57d
26 changed files with 577 additions and 433 deletions
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8
models/Model_Quick96/Model.py
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@ -18,14 +18,12 @@ class Quick96Model(ModelBase):
ask_write_preview_history=False,
ask_target_iter=False,
ask_batch_size=False,
ask_sort_by_yaw=False,
ask_random_flip=False,
ask_src_scale_mod=False)
ask_random_flip=False)
#override
def onInitialize(self):
exec(nnlib.import_all(), locals(), globals())
self.set_vram_batch_requirements({1.5:2,2:4})#,3:4,4:8})
self.set_vram_batch_requirements({1.5:2,2:4})
resolution = self.resolution = 96
@ -171,7 +169,7 @@ class Quick96Model(ModelBase):
self.set_training_data_generators ([
SampleGeneratorFace(self.training_data_src_path, debug=self.is_debug(), batch_size=self.batch_size,
sample_process_options=SampleProcessor.Options(random_flip=False, scale_range=np.array([-0.05, 0.05])+self.src_scale_mod / 100.0 ),
sample_process_options=SampleProcessor.Options(random_flip=False, scale_range=np.array([-0.05, 0.05]) ),
output_sample_types = [ {'types' : (t.IMG_WARPED_TRANSFORMED, t.FACE_TYPE_FULL, t.MODE_BGR), 'resolution': resolution, 'normalize_tanh':True },
{'types' : (t.IMG_TRANSFORMED, t.FACE_TYPE_FULL, t.MODE_BGR), 'resolution': resolution, 'normalize_tanh':True },
{'types' : (t.IMG_TRANSFORMED, t.FACE_TYPE_FULL, t.MODE_M), 'resolution': resolution } ]