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optimized sample generator

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This commit is contained in:
Colombo 2020-01-05 11:53:31 +04:00
parent b5c234dac3
commit 21b25038ac
6 changed files with 201 additions and 160 deletions
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36
samplelib/SampleGeneratorFace.py
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@ -7,8 +7,8 @@ import numpy as np
from facelib import LandmarksProcessor
from samplelib import (SampleGeneratorBase, SampleHost, SampleProcessor,
SampleType)
from utils import iter_utils
from utils import mp_utils
from utils import iter_utils, mp_utils
'''
arg
@ -30,8 +30,13 @@ class SampleGeneratorFace(SampleGeneratorBase):
self.output_sample_types = output_sample_types
self.add_sample_idx = add_sample_idx
samples_host = SampleHost.mp_host (SampleType.FACE, self.samples_path)
self.samples_len = len(samples_host.get_list())
if self.debug:
self.generators_count = 1
else:
self.generators_count = np.clip(multiprocessing.cpu_count(), 2, 6)
samples_clis = SampleHost.host (SampleType.FACE, self.samples_path, number_of_clis=self.generators_count)
self.samples_len = len(samples_clis[0])
if self.samples_len == 0:
raise ValueError('No training data provided.')
@ -39,18 +44,16 @@ class SampleGeneratorFace(SampleGeneratorBase):
index_host = mp_utils.IndexHost(self.samples_len)
if random_ct_samples_path is not None:
ct_samples_host = SampleHost.mp_host (SampleType.FACE, random_ct_samples_path)
ct_index_host = mp_utils.IndexHost( len(ct_samples_host.get_list()) )
ct_samples_clis = SampleHost.host (SampleType.FACE, random_ct_samples_path, number_of_clis=self.generators_count)
ct_index_host = mp_utils.IndexHost( len(ct_samples_clis[0]) )
else:
ct_samples_host = None
ct_samples_clis = None
ct_index_host = None
if self.debug:
self.generators_count = 1
self.generators = [iter_utils.ThisThreadGenerator ( self.batch_func, (samples_host.create_cli(), index_host.create_cli(), ct_samples_host.create_cli() if ct_index_host is not None else None, ct_index_host.create_cli() if ct_index_host is not None else None) )]
self.generators = [iter_utils.ThisThreadGenerator ( self.batch_func, (samples_clis[0], index_host.create_cli(), ct_samples_clis[0] if ct_index_host is not None else None, ct_index_host.create_cli() if ct_index_host is not None else None) )]
else:
self.generators_count = np.clip(multiprocessing.cpu_count(), 2, 4)
self.generators = [iter_utils.SubprocessGenerator ( self.batch_func, (samples_host.create_cli(), index_host.create_cli(), ct_samples_host.create_cli() if ct_index_host is not None else None, ct_index_host.create_cli() if ct_index_host is not None else None), start_now=True ) for i in range(self.generators_count) ]
self.generators = [iter_utils.SubprocessGenerator ( self.batch_func, (samples_clis[i], index_host.create_cli(), ct_samples_clis[i] if ct_index_host is not None else None, ct_index_host.create_cli() if ct_index_host is not None else None), start_now=True ) for i in range(self.generators_count) ]
self.generator_counter = -1
@ -72,13 +75,16 @@ class SampleGeneratorFace(SampleGeneratorBase):
while True:
batches = None
indexes = index_host.get(bs)
ct_indexes = ct_index_host.get(bs) if ct_samples is not None else None
indexes = index_host.multi_get(bs)
ct_indexes = ct_index_host.multi_get(bs) if ct_samples is not None else None
batch_samples = samples.multi_get (indexes)
batch_ct_samples = ct_samples.multi_get (ct_indexes) if ct_samples is not None else None
for n_batch in range(bs):
sample_idx = indexes[n_batch]
sample = samples[ sample_idx ]
ct_sample = ct_samples[ ct_indexes[n_batch] ] if ct_samples is not None else None
sample = batch_samples[n_batch]
ct_sample = batch_ct_samples[n_batch] if ct_samples is not None else None
try:
x, = SampleProcessor.process ([sample], self.sample_process_options, self.output_sample_types, self.debug, ct_sample=ct_sample)