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added sumbmodules

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This commit is contained in:
leno3003 2022-03-31 10:12:36 +02:00
parent 273d9a7d30
commit e0aac2e7ac
3 changed files with 33 additions and 32 deletions
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1
core/interact/no_interact_dict.py
View file

@ -44,6 +44,7 @@ dictionary = {
'Choose image degrade by bicubic rescale power' : '0', 'Choose image degrade by bicubic rescale power' : '0',
'Degrade color power of final image' : '0', 'Degrade color power of final image' : '0',
'Color transfer to predicted face' : 'rct', 'Color transfer to predicted face' : 'rct',
'Override' : 'True',
} }
cmd = 'mkdir DeepFaceLab_Linux/workspace/interact' cmd = 'mkdir DeepFaceLab_Linux/workspace/interact'
os.system(cmd) os.system(cmd)

34
mainscripts/Trainer.py
View file

@ -84,15 +84,15 @@ def trainerThread (s2c, c2s, e,
if model.get_target_iter() != 0: if model.get_target_iter() != 0:
if is_reached_goal: if is_reached_goal:
# answer_filename = 'workspace/interact/interact_dict.pkl' answer_filename = 'workspace/interact/interact_dict.pkl'
# if os.path.exists(answer_filename): if os.path.exists(answer_filename):
# with open(answer_filename, 'rb') as file: with open(answer_filename, 'rb') as file:
# parameters = pickle.load(file) parameters = pickle.load(file)
# if parameters['NoInteractiveMode']: if parameters['NoInteractiveMode']:
# print("Entro 1") print("Entro 1")
# model_save() model_save()
# os._exit(1) os._exit(1)
# else: else:
io.log_info('Model already trained to target iteration. You can use preview.') io.log_info('Model already trained to target iteration. You can use preview.')
else: else:
io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) ) io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) )
@ -173,14 +173,14 @@ def trainerThread (s2c, c2s, e,
model_save() model_save()
is_reached_goal = True is_reached_goal = True
io.log_info ('You can use preview now.') io.log_info ('You can use preview now.')
#answer_filename = 'workspace/interact/interact_dict.pkl' answer_filename = 'workspace/interact/interact_dict.pkl'
#if os.path.exists(answer_filename): if os.path.exists(answer_filename):
# with open(answer_filename, 'rb') as file: with open(answer_filename, 'rb') as file:
# parameters = pickle.load(file) parameters = pickle.load(file)
# if parameters['NoInteractiveMode']: if parameters['NoInteractiveMode']:
# print("Entro 2 ") print("Entro 2 ")
# model_save() model_save()
# os._exit(1) os._exit(1)
need_save = False need_save = False
while time.time() - last_save_time >= save_interval_min*60: while time.time() - last_save_time >= save_interval_min*60:

30
models/ModelBase.py
View file

@ -299,21 +299,21 @@ class ModelBase(object):
cmd = "pwd" cmd = "pwd"
print("Dentro ask_target_iter: \n\n") print("Dentro ask_target_iter: \n\n")
os.system(cmd) os.system(cmd)
#answer_filename = 'workspace/interact/interact_dict.pkl' answer_filename = 'workspace/interact/interact_dict.pkl'
#if os.path.exists(answer_filename): if os.path.exists(answer_filename):
# with open(answer_filename, 'rb') as file: with open(answer_filename, 'rb') as file:
# parameters = pickle.load(file) parameters = pickle.load(file)
# if parameters['NoInteractiveMode']: if parameters['NoInteractiveMode']:
# default_target_iter = self.load_or_def_option('target_iter', default_value + 10000) default_target_iter = self.load_or_def_option('target_iter', default_value + 10000)
# print("\n\n\n\nDefault target iteration: \n\n\n", default_target_iter) print("\n\n\n\nDefault target iteration: \n\n\n", default_target_iter)
# self.options['target_iter'] = max(0, default_target_iter + 10000) self.options['target_iter'] = max(0, default_target_iter + 10000)
# print("TARGET ITERATION: " + str(self.options['target_iter'])) print("TARGET ITERATION: " + str(self.options['target_iter']))
# else: else:
# default_target_iter = self.load_or_def_option('target_iter', default_value) default_target_iter = self.load_or_def_option('target_iter', default_value)
# self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter)) self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter))
#else: else:
default_target_iter = self.load_or_def_option('target_iter', default_value) default_target_iter = self.load_or_def_option('target_iter', default_value)
self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter)) self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter))
def ask_random_flip(self): def ask_random_flip(self):
default_random_flip = self.load_or_def_option('random_flip', True) default_random_flip = self.load_or_def_option('random_flip', True)