Lots more config files

codes/options/test/test_ESRGAN_vrp.yml

@@ -23,5 +23,4 @@ network_G:
 
 #### path
 path:
-  pretrain_model_G: ../experiments/ESRGANx4_blacked_ft/models/31500_G.pth
-  pretrain_model_D: ../experiments/ESRGANx4_blacked_ft/models/31500_D.pth
+  pretrain_model_G: ../experiments/ESRGANx4_blacked_ramped_feat/models/35000_G.pth

codes/options/test/test_corrupt_vixen_adrianna.yml

@@ -0,0 +1,29 @@
+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

codes/options/train/finetune_ESRGAN_blacked.yml

@@ -1,5 +1,5 @@
 #### general settings
-name: ESRGANx4_blacked_lqprn
+name: ESRGANx4_blacked_ramped_feat
 use_tb_logger: true
 model: srgan
 distortion: sr
@@ -43,8 +43,8 @@ network_D:
 
 #### path
 path:
-  pretrain_model_G: ../experiments/blacked_gen_20000_epochs.pth
-  pretrain_model_D: ../experiments/blacked_disc_20000_epochs.pth
+  pretrain_model_G: ../experiments/blacked_ft_G.pth
+  pretrain_model_D: ../experiments/blacked_ft_D.pth
   resume_state: ~
   strict_load: true
 
@@ -62,13 +62,16 @@ train:
 
   niter: 400000
   warmup_iter: -1  # no warm up
-  lr_steps: [10000, 30000, 50000, 70000]
+  lr_steps: [10000, 20000, 30000, 40000, 50000]
   lr_gamma: 0.5
 
   pixel_criterion: l1
-  pixel_weight: !!float 5e-3
+  pixel_weight: !!float 1e-2
   feature_criterion: l1
-  feature_weight: 1
+  feature_weight: !!float 1e0
+  feature_weight_decay: .95
+  feature_weight_decay_steps: 2500
+  feature_weight_minimum: !!float 1e-3
   gan_type: ragan  # gan | ragan
   gan_weight: !!float 1e-1
 

codes/options/train/finetune_ESRGAN_blacked_for_adrianna.yml

@@ -0,0 +1,85 @@
+#### general settings
+name: ESRGANx4_blacked_for_adrianna
+use_tb_logger: true
+model: srgan
+distortion: sr
+scale: 4
+gpu_ids: [0]
+amp_opt_level: O1
+
+#### datasets
+datasets:
+  train:
+    name: vixen
+    mode: LQGT
+    dataroot_GT: K:\4k6k\vixen4k\hr
+    dataroot_LQ: E:\4k6k\mmsr\results\RRDB_ESRGAN_x4\vixen
+    use_shuffle: true
+    n_workers: 4  # per GPU
+    batch_size: 12
+    target_size: 256
+    use_flip: false
+    use_rot: false
+    color: RGB
+  val:
+    name: adrianna_val
+    mode: LQGT
+    dataroot_GT: ../datasets/adrianna/val/hr
+    dataroot_LQ: ../datasets/adrianna/val/lr
+
+#### network structures
+network_G:
+  which_model_G: RRDBNet
+  in_nc: 3
+  out_nc: 3
+  nf: 64
+  nb: 23
+network_D:
+  which_model_D: discriminator_vgg_128
+  in_nc: 3
+  nf: 64
+
+#### path
+path:
+  pretrain_model_G: ../experiments/blacked_ft_G.pth
+  pretrain_model_D: ../experiments/blacked_ft_D.pth
+  resume_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
+  lr_scheme: MultiStepLR
+
+  niter: 400000
+  warmup_iter: -1  # no warm up
+  lr_steps: [10000, 20000, 30000, 40000, 50000]
+  lr_gamma: 0.5
+
+  pixel_criterion: l1
+  pixel_weight: !!float 1e-2
+  feature_criterion: l1
+  feature_weight: !!float 1e0
+  feature_weight_decay: 1
+  feature_weight_decay_steps: 2500
+  feature_weight_minimum: !!float 1e-3
+  gan_type: ragan  # 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

codes/options/train/finetune_corruptGAN_adrianna.yml

@@ -0,0 +1,84 @@
+#### general settings
+name: ESRGAN_adrianna_corrupt_finetune
+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: ../datasets/blacked/train/hr
+    dataroot_LQ: ../datasets/adrianna/train/lr
+    mismatched_Data_OK: true
+    use_shuffle: true
+    n_workers: 4  # per GPU
+    batch_size: 16
+    target_size: 64
+    use_flip: false
+    use_rot: false
+    color: RGB
+  val:
+    name: blacked_val
+    mode: downsample
+    target_size: 64
+    dataroot_GT: ../datasets/blacked/val/hr
+    dataroot_LQ: ../datasets/blacked/val/lr
+
+#### network structures
+network_G:
+  which_model_G: HighToLowResNet
+  in_nc: 3
+  out_nc: 3
+  nf: 128
+  nb: 30
+network_D:
+  which_model_D: discriminator_vgg_128
+  in_nc: 3
+  nf: 96
+
+#### path
+path:
+  pretrain_model_G: ../experiments/blacked_lqprn_corrupt_G.pth
+  pretrain_model_D: ../experiments/blacked_lqprn_corrupt_D.pth
+  resume_state: ~
+  strict_load: true
+
+#### training settings: learning rate scheme, loss
+train:
+  lr_G: !!float 1e-5
+  weight_decay_G: 0
+  beta1_G: 0.9
+  beta2_G: 0.99
+  lr_D: !!float 1e-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: [1000, 2000, 3000]
+  lr_gamma: 0.5
+
+  pixel_criterion: l1
+  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: 0
+
+  manual_seed: 10
+  val_freq: !!float 5e2
+
+#### logger
+logger:
+  print_freq: 50
+  save_checkpoint_freq: !!float 5e2

codes/options/train/train_GAN_blacked_corrupt.yml

@@ -0,0 +1,83 @@
+#### general settings
+name: ESRGAN_blacked_corrupt_lqprn
+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: ../datasets/blacked/train/hr
+    dataroot_LQ: ../datasets/lqprn/train/lr
+    mismatched_Data_OK: false
+    use_shuffle: true
+    n_workers: 4  # per GPU
+    batch_size: 16
+    target_size: 64
+    use_flip: false
+    use_rot: false
+    color: RGB
+  val:
+    name: blacked_val
+    mode: downsample
+    target_size: 64
+    dataroot_GT: ../datasets/blacked/val/hr
+    dataroot_LQ: ../datasets/blacked/val/lr
+
+#### network structures
+network_G:
+  which_model_G: HighToLowResNet
+  in_nc: 3
+  out_nc: 3
+  nf: 128
+  nb: 30
+network_D:
+  which_model_D: discriminator_vgg_128
+  in_nc: 3
+  nf: 96
+
+#### path
+path:
+  pretrain_model_G: ~
+  resume_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
+  lr_scheme: MultiStepLR
+
+  niter: 400000
+  warmup_iter: -1  # no warm up
+  lr_steps: [1000, 2000, 3500, 5000, 6500]
+  lr_gamma: 0.5
+
+  pixel_criterion: l1
+  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: 0
+
+  manual_seed: 10
+  val_freq: !!float 5e2
+
+#### logger
+logger:
+  print_freq: 50
+  save_checkpoint_freq: !!float 5e2