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iperov 2019-04-20 15:22:00 +04:00
parent 046649e6be
commit 3ffdc50576
2 changed files with 28 additions and 22 deletions
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40
models/ModelBase.py
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@ -85,12 +85,13 @@ class ModelBase(object):
else:
self.options['write_preview_history'] = self.options.get('write_preview_history', False)
if ask_target_iter and (self.iter == 0 or ask_override):
self.options['target_iter'] = max(0, io.input_int("Target iteration (skip:unlimited/default) : ", 0))
else:
self.options['target_iter'] = max(model_data.get('target_iter',0), self.options.get('target_epoch',0))
if 'target_epoch' in self.options:
self.options.pop('target_epoch')
if ask_target_iter:
if (self.iter == 0 or ask_override):
self.options['target_iter'] = max(0, io.input_int("Target iteration (skip:unlimited/default) : ", 0))
else:
self.options['target_iter'] = max(model_data.get('target_iter',0), self.options.get('target_epoch',0))
if 'target_epoch' in self.options:
self.options.pop('target_epoch')
if ask_batch_size and (self.iter == 0 or ask_override):
default_batch_size = 0 if self.iter == 0 else self.options.get('batch_size',0)
@ -98,20 +99,23 @@ class ModelBase(object):
else:
self.options['batch_size'] = self.options.get('batch_size', 0)
if ask_sort_by_yaw and (self.iter == 0):
self.options['sort_by_yaw'] = io.input_bool("Feed faces to network sorted by yaw? (y/n ?:help skip:n) : ", False, help_message="NN will not learn src face directions that don't match dst face directions." )
else:
self.options['sort_by_yaw'] = self.options.get('sort_by_yaw', False)
if ask_sort_by_yaw:
if (self.iter == 0):
self.options['sort_by_yaw'] = io.input_bool("Feed faces to network sorted by yaw? (y/n ?:help skip:n) : ", False, help_message="NN will not learn src face directions that don't match dst face directions." )
else:
self.options['sort_by_yaw'] = self.options.get('sort_by_yaw', False)
if ask_random_flip and (self.iter == 0):
self.options['random_flip'] = io.input_bool("Flip faces randomly? (y/n ?:help skip:y) : ", True, help_message="Predicted face will look more naturally without this option, but src faceset should cover all face directions as dst faceset.")
else:
self.options['random_flip'] = self.options.get('random_flip', True)
if ask_random_flip:
if (self.iter == 0):
self.options['random_flip'] = io.input_bool("Flip faces randomly? (y/n ?:help skip:y) : ", True, help_message="Predicted face will look more naturally without this option, but src faceset should cover all face directions as dst faceset.")
else:
self.options['random_flip'] = self.options.get('random_flip', True)
if ask_src_scale_mod and (self.iter == 0):
self.options['src_scale_mod'] = np.clip( io.input_int("Src face scale modifier % ( -30...30, ?:help skip:0) : ", 0, help_message="If src face shape is wider than dst, try to decrease this value to get a better result."), -30, 30)
else:
self.options['src_scale_mod'] = self.options.get('src_scale_mod', 0)
if ask_src_scale_mod:
if (self.iter == 0):
self.options['src_scale_mod'] = np.clip( io.input_int("Src face scale modifier % ( -30...30, ?:help skip:0) : ", 0, help_message="If src face shape is wider than dst, try to decrease this value to get a better result."), -30, 30)
else:
self.options['src_scale_mod'] = self.options.get('src_scale_mod', 0)
self.write_preview_history = self.options['write_preview_history']
if not self.options['write_preview_history']: