86 lines
1.7 KiB
YAML
86 lines
1.7 KiB
YAML
#### general settings
|
|
name: esrgan_res
|
|
use_tb_logger: true
|
|
model: srgan
|
|
distortion: sr
|
|
scale: 4
|
|
gpu_ids: [0]
|
|
amp_opt_level: O1
|
|
|
|
#### datasets
|
|
datasets:
|
|
train:
|
|
name: DIV2K
|
|
mode: LQGT
|
|
dataroot_GT: E:/4k6k/datasets/div2k/DIV2K800_sub
|
|
dataroot_LQ: E:/4k6k/datasets/div2k/DIV2K800_sub_bicLRx4
|
|
|
|
use_shuffle: true
|
|
n_workers: 0 # per GPU
|
|
batch_size: 24
|
|
target_size: 128
|
|
use_flip: true
|
|
use_rot: true
|
|
color: RGB
|
|
val:
|
|
name: div2kval
|
|
mode: LQGT
|
|
dataroot_GT: E:/4k6k/datasets/div2k/div2k_valid_hr
|
|
dataroot_LQ: E:/4k6k/datasets/div2k/div2k_valid_lr_bicubic
|
|
|
|
#### network structures
|
|
network_G:
|
|
which_model_G: ResGen
|
|
nf: 256
|
|
nb_denoiser: 2
|
|
nb_upsampler: 28
|
|
network_D:
|
|
which_model_D: discriminator_resnet_passthrough
|
|
nf: 42
|
|
|
|
#### path
|
|
path:
|
|
#pretrain_model_G: ../experiments/blacked_fix_and_upconv_xl_part1/models/3000_G.pth
|
|
#pretrain_model_D: ~
|
|
strict_load: true
|
|
resume_state: ../experiments/esrgan_res/training_state/15500.state
|
|
|
|
#### training settings: learning rate scheme, loss
|
|
train:
|
|
lr_G: !!float 1e-4
|
|
weight_decay_G: 0
|
|
beta1_G: 0.9
|
|
beta2_G: 0.99
|
|
lr_D: !!float 1e-4
|
|
weight_decay_D: 0
|
|
beta1_D: 0.9
|
|
beta2_D: 0.99
|
|
lr_scheme: MultiStepLR
|
|
|
|
niter: 400000
|
|
warmup_iter: -1 # no warm up
|
|
lr_steps: [20000, 40000, 50000, 60000]
|
|
lr_gamma: 0.5
|
|
mega_batch_factor: 2
|
|
|
|
pixel_criterion: l1
|
|
pixel_weight: !!float 1e-2
|
|
feature_criterion: l1
|
|
feature_weight: 1
|
|
feature_weight_decay: 1
|
|
feature_weight_decay_steps: 500
|
|
feature_weight_minimum: 1
|
|
gan_type: gan # gan | ragan
|
|
gan_weight: !!float 1e-2
|
|
|
|
D_update_ratio: 2
|
|
D_init_iters: -1
|
|
|
|
manual_seed: 10
|
|
val_freq: !!float 5e2
|
|
|
|
#### logger
|
|
logger:
|
|
print_freq: 50
|
|
save_checkpoint_freq: !!float 5e2
|