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https://github.com/iperov/DeepFaceLab.git
synced 2025-07-07 13:32:09 -07:00
added sumbmodules
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parent
273d9a7d30
commit
e0aac2e7ac
3 changed files with 33 additions and 32 deletions
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@ -44,6 +44,7 @@ dictionary = {
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'Choose image degrade by bicubic rescale power' : '0',
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'Degrade color power of final image' : '0',
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'Color transfer to predicted face' : 'rct',
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'Override' : 'True',
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}
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cmd = 'mkdir DeepFaceLab_Linux/workspace/interact'
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os.system(cmd)
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@ -84,15 +84,15 @@ def trainerThread (s2c, c2s, e,
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if model.get_target_iter() != 0:
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if is_reached_goal:
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# answer_filename = 'workspace/interact/interact_dict.pkl'
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# if os.path.exists(answer_filename):
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# with open(answer_filename, 'rb') as file:
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# parameters = pickle.load(file)
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# if parameters['NoInteractiveMode']:
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# print("Entro 1")
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# model_save()
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# os._exit(1)
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# else:
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answer_filename = 'workspace/interact/interact_dict.pkl'
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if os.path.exists(answer_filename):
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with open(answer_filename, 'rb') as file:
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parameters = pickle.load(file)
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if parameters['NoInteractiveMode']:
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print("Entro 1")
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model_save()
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os._exit(1)
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else:
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io.log_info('Model already trained to target iteration. You can use preview.')
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else:
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io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) )
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@ -173,14 +173,14 @@ def trainerThread (s2c, c2s, e,
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model_save()
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is_reached_goal = True
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io.log_info ('You can use preview now.')
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#answer_filename = 'workspace/interact/interact_dict.pkl'
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#if os.path.exists(answer_filename):
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# with open(answer_filename, 'rb') as file:
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# parameters = pickle.load(file)
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# if parameters['NoInteractiveMode']:
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# print("Entro 2 ")
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# model_save()
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# os._exit(1)
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answer_filename = 'workspace/interact/interact_dict.pkl'
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if os.path.exists(answer_filename):
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with open(answer_filename, 'rb') as file:
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parameters = pickle.load(file)
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if parameters['NoInteractiveMode']:
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print("Entro 2 ")
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model_save()
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os._exit(1)
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need_save = False
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while time.time() - last_save_time >= save_interval_min*60:
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@ -299,19 +299,19 @@ class ModelBase(object):
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cmd = "pwd"
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print("Dentro ask_target_iter: \n\n")
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os.system(cmd)
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#answer_filename = 'workspace/interact/interact_dict.pkl'
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#if os.path.exists(answer_filename):
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# with open(answer_filename, 'rb') as file:
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# parameters = pickle.load(file)
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# if parameters['NoInteractiveMode']:
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# default_target_iter = self.load_or_def_option('target_iter', default_value + 10000)
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# print("\n\n\n\nDefault target iteration: \n\n\n", default_target_iter)
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# self.options['target_iter'] = max(0, default_target_iter + 10000)
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# print("TARGET ITERATION: " + str(self.options['target_iter']))
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# else:
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# default_target_iter = self.load_or_def_option('target_iter', default_value)
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# self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter))
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#else:
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answer_filename = 'workspace/interact/interact_dict.pkl'
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if os.path.exists(answer_filename):
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with open(answer_filename, 'rb') as file:
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parameters = pickle.load(file)
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if parameters['NoInteractiveMode']:
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default_target_iter = self.load_or_def_option('target_iter', default_value + 10000)
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print("\n\n\n\nDefault target iteration: \n\n\n", default_target_iter)
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self.options['target_iter'] = max(0, default_target_iter + 10000)
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print("TARGET ITERATION: " + str(self.options['target_iter']))
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else:
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default_target_iter = self.load_or_def_option('target_iter', default_value)
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self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter))
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else:
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default_target_iter = self.load_or_def_option('target_iter', default_value)
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self.options['target_iter'] = max(0, io.input_int("Target iteration", default_target_iter))
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