forked from mrq/DL-Art-School
Remove working options from repo
This commit is contained in:
James Betker
parent
bd4d478572
commit
cdf641e3e2
1
.gitignore
vendored
1
.gitignore
vendored
|
|
@ -2,6 +2,7 @@ experiments/*
|
|||
results/*
|
||||
tb_logger/*
|
||||
datasets/*
|
||||
options/*
|
||||
.vscode
|
||||
|
||||
*.html
|
||||
|
|
|
|||
|
|
@ -1,28 +0,0 @@
|
|||
name: adrianna
|
||||
suffix: ~ # add suffix to saved images
|
||||
model: sr
|
||||
distortion: sr
|
||||
scale: 4
|
||||
crop_border: ~ # crop border when evaluation. If None(~), crop the scale pixels
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O3
|
||||
|
||||
datasets:
|
||||
test_1: # the 1st test dataset
|
||||
name: kayden
|
||||
mode: LQ
|
||||
batch_size: 13
|
||||
dataroot_LQ: ..\..\datasets\kayden\images
|
||||
start_at: 0
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: ResGen
|
||||
nf: 256
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 10
|
||||
upscale_applications: 1
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrain_model_G: ../experiments/resgen_vgg_disc_vixen_40000.pth
|
||||
|
|
@ -1,29 +0,0 @@
|
|||
name: RRDB_ESRGAN_x4
|
||||
suffix: ~ # add suffix to saved images
|
||||
model: corruptgan
|
||||
distortion: downsample
|
||||
scale: 4
|
||||
crop_border: ~ # crop border when evaluation. If None(~), crop the scale pixels
|
||||
gpu_ids: [0]
|
||||
|
||||
datasets:
|
||||
test_1: # the 1st test dataset
|
||||
name: vixen
|
||||
mode: downsample
|
||||
dataroot_GT: K:\4k6k\vixen4k\hr
|
||||
dataroot_LQ: K:\4k6k\vixen4k\lr
|
||||
batch_size: 100
|
||||
n_workers: 4 # per GPU
|
||||
target_size: 64
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: HighToLowResNet
|
||||
in_nc: 3
|
||||
out_nc: 3
|
||||
nf: 128
|
||||
nb: 30
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrain_model_G: ../experiments/blacked_adrianna_corrupt_G.pth
|
||||
|
|
@ -1,28 +0,0 @@
|
|||
name: vix_corrupt
|
||||
suffix: ~ # add suffix to saved images
|
||||
model: sr
|
||||
distortion: sr
|
||||
scale: 4
|
||||
crop_border: ~ # crop border when evaluation. If None(~), crop the scale pixels
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O3
|
||||
|
||||
datasets:
|
||||
test_1: # the 1st test dataset
|
||||
name: vix_lr
|
||||
mode: LQ
|
||||
batch_size: 64
|
||||
dataroot_LQ: K:\\4k6k\\4k_closeup\\lr_corrupted
|
||||
start_at: 35000 #ready to go.
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: ResGenV2
|
||||
nf: 192
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 0
|
||||
upscale_applications: 0
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrain_model_G: ../experiments/pretrained_corruptors/decolorize_nonoise.pth
|
||||
|
|
@ -1,90 +0,0 @@
|
|||
#### general settings
|
||||
name: corruptGAN_4k_lqprn_closeup_flat_net
|
||||
use_tb_logger: true
|
||||
model: corruptgan
|
||||
distortion: downsample
|
||||
scale: 4
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O1
|
||||
|
||||
#### datasets
|
||||
datasets:
|
||||
train:
|
||||
name: blacked
|
||||
mode: downsample
|
||||
dataroot_GT: K:\\4k6k\\4k_closeup\\hr
|
||||
dataroot_LQ: E:\\4k6k\\datasets\\ultra_lowq\\for_training
|
||||
mismatched_Data_OK: true
|
||||
use_shuffle: true
|
||||
n_workers: 8 # per GPU
|
||||
batch_size: 32
|
||||
target_size: 64
|
||||
use_flip: false
|
||||
use_rot: false
|
||||
doCrop: false
|
||||
color: RGB
|
||||
val:
|
||||
name: blacked_val
|
||||
mode: downsample
|
||||
target_size: 64
|
||||
dataroot_GT: E:\\4k6k\\datasets\\blacked\\val\\hr
|
||||
dataroot_LQ: E:\\4k6k\\datasets\\blacked\\val\\lr
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: FlatProcessorNet
|
||||
in_nc: 3
|
||||
out_nc: 3
|
||||
nf: 32
|
||||
ra_blocks: 6
|
||||
assembler_blocks: 4
|
||||
|
||||
network_D:
|
||||
#which_model_D: discriminator_vgg_128
|
||||
#in_nc: 3
|
||||
#nf: 64
|
||||
which_model_D: discriminator_resnet
|
||||
in_nc: 3
|
||||
nf: 64
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrain_model_G: ../experiments/corruptGAN_4k_lqprn_closeup_flat_net/models/29000_G.pth
|
||||
pretrain_model_D: ../experiments/corruptGAN_4k_lqprn_closeup_flat_net/models/29000_D.pth
|
||||
resume_state: ../experiments/corruptGAN_4k_lqprn_closeup_flat_net/training_state/29000.state
|
||||
strict_load: true
|
||||
|
||||
#### training settings: learning rate scheme, loss
|
||||
train:
|
||||
lr_G: !!float 5e-5
|
||||
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: [12000, 24000, 36000, 48000, 64000]
|
||||
lr_gamma: 0.5
|
||||
|
||||
pixel_criterion: l2
|
||||
pixel_weight: !!float 1e-2
|
||||
feature_criterion: l1
|
||||
feature_weight: 0
|
||||
gan_type: gan # gan | ragan
|
||||
gan_weight: !!float 1e-1
|
||||
|
||||
D_update_ratio: 1
|
||||
D_init_iters: -1
|
||||
|
||||
manual_seed: 10
|
||||
val_freq: !!float 5e2
|
||||
|
||||
#### logger
|
||||
logger:
|
||||
print_freq: 50
|
||||
save_checkpoint_freq: !!float 5e2
|
||||
|
|
@ -1,83 +0,0 @@
|
|||
#### general settings
|
||||
name: resgen_movies
|
||||
use_tb_logger: true
|
||||
model: srgan
|
||||
distortion: sr
|
||||
scale: 4
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O1
|
||||
|
||||
#### datasets
|
||||
datasets:
|
||||
train:
|
||||
name: movies
|
||||
mode: LQGT
|
||||
dataroot_GT: F:\\upsample_reg\\for_training\\hr
|
||||
dataroot_LQ: F:\\upsample_reg\\for_training\\lr_corrupted
|
||||
doCrop: false
|
||||
use_shuffle: true
|
||||
n_workers: 8 # per GPU
|
||||
batch_size: 8
|
||||
target_size: 256
|
||||
color: RGB
|
||||
val:
|
||||
name: movies_val
|
||||
mode: LQGT
|
||||
dataroot_GT: F:\\upsample_reg\\for_training\\val\\hr
|
||||
dataroot_LQ: F:\\upsample_reg\\for_training\\val\\lr
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: ResGenV2
|
||||
nf: 256
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 10
|
||||
network_D:
|
||||
which_model_D: discriminator_resnet_passthrough
|
||||
nf: 64
|
||||
|
||||
#### path
|
||||
path:
|
||||
#pretrain_model_G: ~
|
||||
#pretrain_model_D: ~
|
||||
strict_load: true
|
||||
resume_state: ~
|
||||
|
||||
#### training settings: learning rate scheme, loss
|
||||
train:
|
||||
lr_G: !!float 6e-5
|
||||
weight_decay_G: 0
|
||||
beta1_G: 0.9
|
||||
beta2_G: 0.99
|
||||
lr_D: !!float 6e-5
|
||||
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, 60000, 80000, 100000]
|
||||
lr_gamma: 0.5
|
||||
mega_batch_factor: 1
|
||||
|
||||
pixel_criterion: l1
|
||||
pixel_weight: !!float 1e-2
|
||||
feature_criterion: l1
|
||||
feature_weight: 1
|
||||
feature_weight_decay: 1
|
||||
feature_weight_decay_steps: 1
|
||||
feature_weight_minimum: 1
|
||||
gan_type: gan # gan | ragan
|
||||
gan_weight: !!float 1e-2
|
||||
|
||||
D_update_ratio: 1
|
||||
D_init_iters: 0
|
||||
|
||||
manual_seed: 10
|
||||
val_freq: !!float 5e2
|
||||
|
||||
#### logger
|
||||
logger:
|
||||
print_freq: 50
|
||||
save_checkpoint_freq: !!float 5e2
|
||||
|
|
@ -1,97 +0,0 @@
|
|||
#### general settings
|
||||
name: train_vix_corrupt
|
||||
use_tb_logger: true
|
||||
model: corruptgan
|
||||
distortion: downsample
|
||||
scale: 1
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O0
|
||||
|
||||
#### datasets
|
||||
datasets:
|
||||
train:
|
||||
name: blacked
|
||||
mode: downsample
|
||||
dataroot_GT: E:\\4k6k\\datasets\\vixen\\4k_closeup\\lr_corrupted
|
||||
dataroot_LQ: G:\\data\\pr_upsample\\ultra_lowq\\for_training\\lr
|
||||
mismatched_Data_OK: true
|
||||
use_shuffle: true
|
||||
n_workers: 12 # per GPU
|
||||
batch_size: 24
|
||||
target_size: 64
|
||||
use_flip: false
|
||||
use_rot: false
|
||||
doCrop: false
|
||||
color: RGB
|
||||
val:
|
||||
name: blacked_val
|
||||
mode: downsample
|
||||
target_size: 64
|
||||
dataroot_GT: E:\\4k6k\\datasets\\vixen\\val
|
||||
dataroot_LQ: E:\\4k6k\\datasets\\vixen\\val
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: ResGenV2
|
||||
nf: 192
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 0
|
||||
upscale_applications: 0
|
||||
inject_noise: False
|
||||
|
||||
network_D:
|
||||
which_model_D: discriminator_vgg_128
|
||||
in_nc: 3
|
||||
nf: 64
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrain_model_G: ~
|
||||
pretrain_model_D: ~
|
||||
resume_state: ../experiments/train_vix_corrupt/training_state/47000.state
|
||||
strict_load: true
|
||||
|
||||
#### 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
|
||||
D_noise_theta_init: .01
|
||||
D_noise_final_it: 20000
|
||||
D_noise_theta_floor: .005
|
||||
lr_scheme: MultiStepLR
|
||||
|
||||
niter: 400000
|
||||
warmup_iter: -1 # no warm up
|
||||
lr_steps: [15000, 50000, 100000, 200000]
|
||||
lr_gamma: 0.5
|
||||
|
||||
pixel_criterion: l2
|
||||
pixel_weight: !!float 1e-2
|
||||
feature_criterion: l1
|
||||
feature_weight: .5
|
||||
feature_weight_decay: .98
|
||||
feature_weight_decay_steps: 1000
|
||||
feature_weight_minimum: .5
|
||||
gan_type: ragan # gan | ragan
|
||||
gan_weight: .1
|
||||
mega_batch_factor: 1
|
||||
swapout_G_freq: 113
|
||||
swapout_D_freq: 223
|
||||
swapout_duration: 40
|
||||
|
||||
D_update_ratio: 1
|
||||
D_init_iters: -1
|
||||
|
||||
manual_seed: 10
|
||||
val_freq: !!float 5e2
|
||||
|
||||
#### logger
|
||||
logger:
|
||||
print_freq: 50
|
||||
save_checkpoint_freq: 500
|
||||
|
|
@ -1,97 +0,0 @@
|
|||
#### general settings
|
||||
name: train_vix_corrupt_tiled
|
||||
use_tb_logger: true
|
||||
model: corruptgan
|
||||
distortion: downsample
|
||||
scale: 1
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O0
|
||||
|
||||
#### datasets
|
||||
datasets:
|
||||
train:
|
||||
name: vix_corrupt
|
||||
mode: downsample
|
||||
dataroot_GT: H:\\vix\\lr
|
||||
dataroot_LQ: H:\\ultra_lq\\tiled\\lr
|
||||
mismatched_Data_OK: true
|
||||
use_shuffle: true
|
||||
n_workers: 14 # per GPU
|
||||
batch_size: 48
|
||||
target_size: 64
|
||||
use_flip: true
|
||||
use_rot: true
|
||||
doCrop: false
|
||||
color: RGB
|
||||
val:
|
||||
name: vix_val
|
||||
mode: downsample
|
||||
target_size: 64
|
||||
dataroot_GT: E:\\4k6k\\datasets\\vixen\\val
|
||||
dataroot_LQ: E:\\4k6k\\datasets\\vixen\\val
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: ResGenV2
|
||||
nf: 192
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 0
|
||||
upscale_applications: 0
|
||||
inject_noise: False
|
||||
|
||||
network_D:
|
||||
which_model_D: discriminator_vgg_128
|
||||
in_nc: 3
|
||||
nf: 64
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrain_model_G: ~
|
||||
pretrain_model_D: ~
|
||||
resume_state: ../experiments/train_vix_corrupt_tiled/training_state/16000.state
|
||||
strict_load: true
|
||||
|
||||
#### 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
|
||||
D_noise_theta_init: .01
|
||||
D_noise_final_it: 20000
|
||||
D_noise_theta_floor: .005
|
||||
lr_scheme: MultiStepLR
|
||||
|
||||
niter: 400000
|
||||
warmup_iter: -1 # no warm up
|
||||
lr_steps: [15000, 50000, 100000, 200000]
|
||||
lr_gamma: 0.5
|
||||
|
||||
pixel_criterion: l2
|
||||
pixel_weight: !!float 1e-2
|
||||
feature_criterion: l1
|
||||
feature_weight: .6
|
||||
feature_weight_decay: .98
|
||||
feature_weight_decay_steps: 1000
|
||||
feature_weight_minimum: .5
|
||||
gan_type: ragan # gan | ragan
|
||||
gan_weight: .1
|
||||
mega_batch_factor: 2
|
||||
swapout_G_freq: 113
|
||||
swapout_D_freq: 223
|
||||
swapout_duration: 40
|
||||
|
||||
D_update_ratio: 1
|
||||
D_init_iters: -1
|
||||
|
||||
manual_seed: 10
|
||||
val_freq: !!float 5e2
|
||||
|
||||
#### logger
|
||||
logger:
|
||||
print_freq: 50
|
||||
save_checkpoint_freq: 500
|
||||
|
|
@ -1,106 +0,0 @@
|
|||
#### general settings
|
||||
name: train_vix_resgenv2
|
||||
use_tb_logger: true
|
||||
model: srgan
|
||||
distortion: sr
|
||||
scale: 4
|
||||
gpu_ids: [0]
|
||||
amp_opt_level: O1
|
||||
|
||||
#### datasets
|
||||
datasets:
|
||||
train:
|
||||
name: vixcloseup
|
||||
mode: LQGT
|
||||
dataroot_GT: E:\4k6k\datasets\vixen\vix_tiled\hr
|
||||
dataroot_LQ: E:\4k6k\datasets\vixen\vix_tiled\lr
|
||||
use_flip: true
|
||||
use_rot: true
|
||||
doCrop: false
|
||||
use_shuffle: true
|
||||
n_workers: 4 # per GPU
|
||||
batch_size: 8
|
||||
target_size: 256
|
||||
color: RGB
|
||||
val:
|
||||
name: adrianna_val
|
||||
mode: LQGT
|
||||
dataroot_GT: E:\4k6k\datasets\adrianna\val\hhq
|
||||
dataroot_LQ: E:\4k6k\datasets\adrianna\val\hr
|
||||
|
||||
#### network structures
|
||||
network_G:
|
||||
which_model_G: ResGenV2
|
||||
nf: 256
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 10
|
||||
upscale_applications: 2
|
||||
network_D:
|
||||
which_model_D: discriminator_resnet_passthrough
|
||||
nf: 64
|
||||
# LR corruption network.
|
||||
network_C:
|
||||
which_model_G: ResGenV2
|
||||
nf: 192
|
||||
nb_denoiser: 20
|
||||
nb_upsampler: 0
|
||||
upscale_applications: 0
|
||||
inject_noise: False
|
||||
|
||||
#### path
|
||||
path:
|
||||
pretrained_corruptors_dir: ../experiments/pretrained_corruptors
|
||||
#pretrain_model_G: ../experiments/pretrained_resnet_G.pth
|
||||
#pretrain_model_D: ~
|
||||
strict_load: true
|
||||
resume_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, 60000, 80000, 100000]
|
||||
lr_gamma: 0.5
|
||||
mega_batch_factor: 2
|
||||
|
||||
swapout_G_freq: 113
|
||||
swapout_D_freq: 223
|
||||
swapout_duration: 40
|
||||
|
||||
corruptor_swapout_steps: 1000
|
||||
|
||||
pixel_criterion: l1
|
||||
pixel_weight: .01
|
||||
|
||||
feature_criterion: l1
|
||||
feature_weight: 1
|
||||
feature_weight_decay: 1
|
||||
feature_weight_decay_steps: 500
|
||||
feature_weight_minimum: 1
|
||||
|
||||
gan_type: ragan # gan | ragan
|
||||
gan_weight: .01
|
||||
|
||||
D_update_ratio: 1
|
||||
D_init_iters: 0
|
||||
D_noise_theta_init: .005 # Just fixed noise.
|
||||
D_noise_final_it: 1
|
||||
D_noise_theta_floor: .005
|
||||
|
||||
manual_seed: 10
|
||||
val_freq: !!float 5e2
|
||||
|
||||
#### logger
|
||||
logger:
|
||||
print_freq: 50
|
||||
save_checkpoint_freq: !!float 5e2
|
||||
Loading…
Reference in New Issue
Block a user