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config.yml
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config.yml
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---
default:
generator: rdn
feature_extractor: false
discriminator: false
training_set: div2k
test_set: sample
log_dirs:
logs: ./logs
weights: ./weights
feature_extractor:
vgg19:
layers_to_extract:
- 5
- 9
generators:
rrdn:
C: 4
D: 3
G: 32
G0: 32
T: 4
x: 4
rdn:
C: 6
D: 20
G: 64
G0: 64
x: 2
loss_weights:
generator: 1.0
feature_extractor: 0.0833
discriminator: 0.01
losses:
generator: mae
discriminator: binary_crossentropy
feature_extractor: mse
session:
prediction:
patch_size:
training:
steps_per_epoch: 1000
patch_size: 32
batch_size: 16
epochs: 300
n_validation_samples: 100
learning_rate:
initial_value: 0.0004
decay_frequency: 50
decay_factor: 0.5
fallback_save_every_n_epochs: 2
flatness:
min: 0.0
increase_frequency: null
increase: 0.0
max: 0.0
metrics:
generator: PSNR_Y
monitored_metrics:
val_loss: min
val_PSNR_Y: max
adam_optimizer:
beta1: 0.9
beta2: 0.999
epsilon: null
test_sets:
sample: ./data/input/sample
training_sets:
custom data:
lr_train_dir: ./data/custom/lr/train
hr_train_dir: ./data/custom/hr/train
lr_valid_dir: ./data/custom/lr/validation
hr_valid_dir: ./data/custom/hr/validation
data_name: custom
div2k:
lr_train_dir: ./data/DIV2K/DIV2K_train_LR_bicubic/X2
hr_train_dir: ./data/DIV2K/DIV2K_train_HR
lr_valid_dir: ./data/DIV2K/DIV2K_valid_LR_bicubic/X2
hr_valid_dir: ./data/DIV2K/DIV2K_valid_HR
data_name: div2k
weights_paths:
discriminator:
generator: