added sumbmodules

This commit is contained in:
leno3003 2022-03-30 15:28:08 +02:00
parent 599aca6266
commit c40d7ee52f
3 changed files with 50 additions and 44 deletions

View file

@ -46,7 +46,7 @@ class InteractBase(object):
self.process_messages_callbacks = {}
self.default_answers = {}
answer_filename = '/home/deepfake/interact_dict.pkl'
answer_filename = '../../../worspace/interact/interact_dict.pkl'
if os.path.exists(answer_filename):
with open(answer_filename, 'rb') as file:
self.default_answers = pickle.load(file)
@ -219,9 +219,9 @@ class InteractBase(object):
def get_default_answer(self, answer_key):
#Scrivere su file answer key
f = open("/home/deepfake/interact.txt", "a")
f.write(answer_key + "\n")
f.close()
#f = open("/home/deepfake/interact.txt", "a")
#f.write(answer_key + "\n")
#f.close()
if answer_key in self.default_answers:
return self.default_answers[answer_key]
return None

View file

@ -3,44 +3,45 @@ import pickle
dictionary = {
'4' : '\n',
'Output image format':'png',
'NonInteractiveMode':'True',
'Which GPU indexes to choose?': '0',
'Face type': 'wf',
'Max number of faces from image' : '1',
'Image size' : '512',
'Jpeg quality' : '90',
'Write debug images to aligned_debug?': 'False',
'Autobackup every N hour':'2',
'Write preview history' : 'False',
'Flip SRC faces randomly':'False',
'Flip DST faces randomly':'False',
'Batch_size': '4',
'Eyes and mouth priority':'False',
'Uniform yaw distribution of samples':'True',
'Blur out mask':'False',
'Place models and optimizer on GPU' : 'True',
'Use AdaBelief optimizer?' : 'True',
'Use learning rate dropout' : 'False',
'Enable random warp of samples' : 'True',
'Random hue/saturation/light intensity' : '0.0',
'GAN power' : '0.0',
'Face style power' : '0.0',
'Background style power': '0.0',
'Color transfer for src faceset' : 'lct',
'Enable gradient clipping': 'False',
'Enable pretraining mode' : 'False',
'Use interactive merger?':'False',
'Number of workers?':'8',
'Use saved session?':'False',
'Bitrate of output file in MB/s' : '16',
'Choose erode mask modifier': '0.0',
'Choose blur mask modifier' : '0.0',
'Choose motion blur power' : '0',
'Choose output face scale modifier' : '0',
'Choose super resolution power' : '0',
'Choose image degrade by denoise power' : '0',
'Choose image degrade by bicubic rescale power' : '0',
'Degrade color power of final image' : '0',
'Color transfer to predicted face' : 'rct',
'Face type': 'wf',
'Max number of faces from image' : '1',
'Image size' : '512',
'Jpeg quality' : '90',
'Write debug images to aligned_debug?': 'False',
'Autobackup every N hour':'2',
'Write preview history' : 'False',
'Flip SRC faces randomly':'False',
'Flip DST faces randomly':'False',
'Batch_size': '4',
'Eyes and mouth priority':'False',
'Uniform yaw distribution of samples':'True',
'Blur out mask':'False',
'Place models and optimizer on GPU' : 'True',
'Use AdaBelief optimizer?' : 'True',
'Use learning rate dropout' : 'False',
'Enable random warp of samples' : 'True',
'Random hue/saturation/light intensity' : '0.0',
'GAN power' : '0.0',
'Face style power' : '0.0',
'Background style power': '0.0',
'Color transfer for src faceset' : 'lct',
'Enable gradient clipping': 'False',
'Enable pretraining mode' : 'False',
'Use interactive merger?':'False',
'Number of workers?':'8',
'Use saved session?':'False',
'Bitrate of output file in MB/s' : '16',
'Choose erode mask modifier': '0.0',
'Choose blur mask modifier' : '0.0',
'Choose motion blur power' : '0',
'Choose output face scale modifier' : '0',
'Choose super resolution power' : '0',
'Choose image degrade by denoise power' : '0',
'Choose image degrade by bicubic rescale power' : '0',
'Degrade color power of final image' : '0',
'Color transfer to predicted face' : 'rct',
}
with open('/home/deepfake/interact_dict.pkl', 'wb') as handle:
pickle.dump(dictionary, handle, protocol=4)

View file

@ -84,11 +84,16 @@ def trainerThread (s2c, c2s, e,
if model.get_target_iter() != 0:
if is_reached_goal:
io.log_info('Model already trained to target iteration. You can use preview.')
if os.path.exists("/home/deepfake/interact_dict.pkl"):
answer_filename = '../../../worspace/interact/interact_dict.pkl'
if os.path.exists(answer_filename):
with open(answer_filename, 'rb') as file:
parameters = pickle.load(file)
if parameters['NoInteractiveMode']:
model_save()
os._exit(1)
else:
io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) )
else:
io.log_info('Starting. Target iteration: %d. Press "Enter" to stop training and save model.' % ( model.get_target_iter() ) )
else:
io.log_info('Starting. Press "Enter" to stop training and save model.')