def main(argv=None):
# Configurations
config = Config()
config.DATA_DIR = [
'./data/SiW_M_Makeup_Ob_Binary_Files',
'./data/SiW_M_Mask_Silicone_Binary_Files',
'./data/SiW_M_Makeup_Co_Binary_Files',
'./data/SiW_M_Mask_Paper_Binary_Files',
'./data/SiW_M_Makeup_Im_Binary_Files',
'./data/SiW_M_Mask_Mann_Binary_Files',
'./data/SiW_M_Replay_Binary_Files',
'./data/SiW_M_Partial_Cut_Binary_Files',
'./data/SiW_M_Mask_Half_Binary_Files',
'./data/SiW_M_Partial_Funnyeye_Binary_Files',
'./data/SiW_M_Partial_Paperglass_Binary_Files',
'./data/SiW_M_Mask_Trans_Binary_Files',
'./data/SiW_M_Paper_Binary_Files', './data/SiW_M_Live_Binary_Files',
'./data/SiW_M_Live_Test_Binary_Files'
]
config.DATA_DIR_LIVE = ['./data/SiW_M_Live_Binary_Files']
config.DATA_DIR_TEST = ['./data/SiW_M_Live_Test_Binary_Files']
config.LOG_DIR = './logs/model'
config.MODE = 'training'
# config.MODE = 'testing'
config.STEPS_PER_EPOCH_VAL = 180
config.display()
# Get images and labels.
# dataset_train = Dataset(config, 'train')
# Build a Graph
model = Model(config)
# Train the model
model.compile()
model.train()
def main(argv=None):
# Configurations
config = Config()
config.DATA_DIR = ['/data/']
config.LOG_DIR = './log/model'
config.MODE = 'training'
config.STEPS_PER_EPOCH_VAL = 180
config.display()
# Get images and labels.
dataset_train = Dataset(config, 'train')
# Build a Graph
model = Model(config)
# Train the model
model.compile()
model.train(dataset_train, None)
config.DATA_DIR = ["/home/umit/xDataset/deepFake-dat/Train_Fake_Much_1",
"/home/umit/xDataset/deepFake-dat/Train_Live_Much_1",
"/home/umit/xDataset/deepFake-dat/Train_Fake_Much_2",
"/home/umit/xDataset/deepFake-dat/Train_Live_Much_2",
"/home/umit/xDataset/deepFake-dat/Train_Fake_Much_3",
"/home/umit/xDataset/deepFake-dat/Train_Live_Much_3",
"/home/umit/xDataset/deepFake-dat/Train_Fake_Much_4",
"/home/umit/xDataset/deepFake-dat/Train_Live_Much_4",
"/home/umit/xDataset/deepFake-dat/Train_Fake_Much_5",
"/home/umit/xDataset/deepFake-dat/Train_Live_Much_5",
"/home/umit/xDataset/deepFake-dat/Train_Fake_Much_6"
"/home/umit/xDataset/deepFake-dat/Train_Live_Much_6",
"/home/umit/xDataset/deepFake-dat/Train_Fake_Much_7"]
config.LOG_DIR = './log/model'
config.MODE = 'training'
config.STEPS_PER_EPOCH = 2000
config.MAX_EPOCH = 1000
config.LEARNING_RATE = 0.00001 #0.00005 #0.0001 #0.0005 #0.001
config.BATCH_SIZE = 20
# Validation
config.DATA_DIR_VAL = ["/home/umit/xDataset/deepFake-dat/Train_Fake_Much_1",
"/home/umit/xDataset/deepFake-dat/Train_Live_Few_1"]
config.STEPS_PER_EPOCH_VAL = 500
config.display()
# Get images and labels.
dataset_train = Dataset(config,'train')
#dataset_validation = Dataset(config,'validation')