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config.py
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config.py
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# Super parameters
clamp = 2.0
channels_in = 3
log10_lr = -4.5
lr = 10 ** log10_lr
weight_decay = 1e-5
init_scale = 0.01
# Model:
device_ids = [0]
# Train:
batch_size = 8
cropsize = 224
betas = (0.5, 0.999)
weight_step = 200
gamma = 0.5
# Val:
cropsize_val = 224
batchsize_val = 2
shuffle_val = False
val_freq = 10
# Dataset
TRAIN_PATH = '/home/Dataset/DIV2K/DIV2K_train_HR'
VAL_PATH = '/home/Dataset/DIV2K/DIV2K_valid_HR'
format_train = 'png'
format_val = 'png'
# Display and logging:
loss_display_cutoff = 2.0
loss_names = ['train loss', 'val loss', 'lr', 'attack method']
silent = False
live_visualization = False
progress_bar = True
# Saving checkpoints:
MODEL_PATH = 'model/'
checkpoint_on_error = True
SAVE_freq = 50
IMAGE_PATH = 'image/'
IMAGE_PATH_host= IMAGE_PATH + 'host/'
IMAGE_PATH_secret = IMAGE_PATH + 'secret/'
IMAGE_PATH_container = IMAGE_PATH + 'container/'
IMAGE_PATH_extracted = IMAGE_PATH + 'extracted/'