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

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.

samplelib/SampleGeneratorFacePerson.py

@@ -6,7 +6,7 @@ import cv2
 import numpy as np
 
 from facelib import LandmarksProcessor
-from samplelib import (SampleGeneratorBase, SampleLoader, SampleProcessor,
+from samplelib import (SampleGeneratorBase, SampleHost, SampleProcessor,
                        SampleType)
 from utils import iter_utils
 
@@ -37,7 +37,7 @@ class SampleGeneratorFacePerson(SampleGeneratorBase):
             raise ValueError("len(generators_random_seed) != generators_count")
         self.generators_random_seed = generators_random_seed
         
-        samples = SampleLoader.load (SampleType.FACE, self.samples_path, person_id_mode=True, use_caching=use_caching)
+        samples = SampleHost.load (SampleType.FACE, self.samples_path, person_id_mode=True, use_caching=use_caching)
         samples = copy.copy(samples)
         for i in range(len(samples)):
             samples[i] = copy.copy(samples[i])
@@ -275,4 +275,4 @@ class SampleGeneratorFacePerson(SampleGeneratorBase):
     
     @staticmethod
     def get_person_id_max_count(samples_path):
-        return SampleLoader.get_person_id_max_count(samples_path)
+        return SampleHost.get_person_id_max_count(samples_path)