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check if pkl exist to apply modifications

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This commit is contained in:
leno3003 2022-03-29 13:07:07 +02:00
parent b3134a99d0
commit 5b04cc047e
2 changed files with 13 additions and 6 deletions
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2
mainscripts/Trainer.py
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@ -84,6 +84,7 @@ 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:
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.')
if os.path.exists("/home/deepfake/interact_dict.pkl"):
model_save() model_save()
os._exit(1) os._exit(1)
else: else:
@ -165,6 +166,7 @@ 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.')
if os.path.exists("/home/deepfake/interact_dict.pkl"):
model_save() model_save()
os._exit(1) os._exit(1)

5
models/ModelBase.py
View file

@ -295,6 +295,11 @@ class ModelBase(object):
self.choose_preview_history = io.input_bool("Randomly choose new image for preview history", False, help_message="Preview image history will stay stuck with old faces if you reuse the same model on different celebs. Choose no unless you are changing src/dst to a new person") self.choose_preview_history = io.input_bool("Randomly choose new image for preview history", False, help_message="Preview image history will stay stuck with old faces if you reuse the same model on different celebs. Choose no unless you are changing src/dst to a new person")
def ask_target_iter(self, default_value=0): def ask_target_iter(self, default_value=0):
if os.path.exists("/home/deepfake/interact_dict.pkl"):
default_target_iter = self.load_or_def_option('target_iter', default_value + 10000)
self.options['target_iter'] = max(0, default_target_iter + 10000)
print("TARGET ITERATION: " + str(self.options['target_iter']))
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))