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automatized arguments with pickle

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leno3003 2022-03-29 12:26:54 +02:00
parent d132667138
commit b3134a99d0
2 changed files with 7 additions and 2 deletions
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4
core/interact/interact_dict.py
View file

@ -5,6 +5,8 @@ dictionary = {
'[png] Output image format ( png/jpg ?:help ) : ' : 'png', '[png] Output image format ( png/jpg ?:help ) : ' : 'png',
'Override' : '0', 'Override' : '0',
' Press enter in 2 seconds to override model settings. ' : '\n', ' Press enter in 2 seconds to override model settings. ' : '\n',
'Enable pretraining mode' : 'n',
'Enable gradient clipping' : 'n',
'[0] Which GPU indexes to choose? : ' : '0', '[0] Which GPU indexes to choose? : ' : '0',
'[wf] Face type ( f/wf/head ?:help ) : ' : 'wf', '[wf] Face type ( f/wf/head ?:help ) : ' : 'wf',
'[0] Max number of faces from image ( ?:help ) : ' : '0', '[0] Max number of faces from image ( ?:help ) : ' : '0',
@ -14,7 +16,7 @@ dictionary = {
'[y] Continue extraction? ( y/n ?:help ) : ' : 'True', '[y] Continue extraction? ( y/n ?:help ) : ' : 'True',
'[2] Autobackup every N hour ( 0..24 ?:help ) : ' : '2', '[2] Autobackup every N hour ( 0..24 ?:help ) : ' : '2',
'[n] Write preview history ( y/n ?:help ) : ' : 'False', '[n] Write preview history ( y/n ?:help ) : ' : 'False',
'[83000] Target iteration : ' : '100000', '[83000] Target iteration : ' : '110000',
'[n] Flip SRC faces randomly ( y/n ?:help ) : ' : 'False', '[n] Flip SRC faces randomly ( y/n ?:help ) : ' : 'False',
'[n] Flip DST faces randomly ( y/n ?:help ) : ' : 'False', '[n] Flip DST faces randomly ( y/n ?:help ) : ' : 'False',
'[4] Batch_size ( ?:help ) : ' : '4', '[4] Batch_size ( ?:help ) : ' : '4',

5
mainscripts/Trainer.py
View file

@ -84,6 +84,8 @@ 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.')
model_save()
os._exit(1)
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() ) )
else: else:
@ -163,7 +165,8 @@ 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.')
exit(0) model_save()
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: