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| # general settings | |
| name: finetune_RealESRGANx4plus_400k | |
| model_type: RealESRGANModel | |
| scale: 4 | |
| num_gpu: auto | |
| manual_seed: 0 | |
| # ----------------- options for synthesizing training data in RealESRGANModel ----------------- # | |
| # USM the ground-truth | |
| l1_gt_usm: True | |
| percep_gt_usm: True | |
| gan_gt_usm: False | |
| # the first degradation process | |
| resize_prob: [0.2, 0.7, 0.1] # up, down, keep | |
| resize_range: [0.15, 1.5] | |
| gaussian_noise_prob: 0.5 | |
| noise_range: [1, 30] | |
| poisson_scale_range: [0.05, 3] | |
| gray_noise_prob: 0.4 | |
| jpeg_range: [30, 95] | |
| # the second degradation process | |
| second_blur_prob: 0.8 | |
| resize_prob2: [0.3, 0.4, 0.3] # up, down, keep | |
| resize_range2: [0.3, 1.2] | |
| gaussian_noise_prob2: 0.5 | |
| noise_range2: [1, 25] | |
| poisson_scale_range2: [0.05, 2.5] | |
| gray_noise_prob2: 0.4 | |
| jpeg_range2: [30, 95] | |
| gt_size: 256 | |
| queue_size: 180 | |
| # dataset and data loader settings | |
| datasets: | |
| train: | |
| name: DF2K+OST | |
| type: RealESRGANDataset | |
| dataroot_gt: datasets/DF2K | |
| meta_info: datasets/DF2K/meta_info/meta_info_DF2Kmultiscale+OST_sub.txt | |
| io_backend: | |
| type: disk | |
| blur_kernel_size: 21 | |
| kernel_list: ['iso', 'aniso', 'generalized_iso', 'generalized_aniso', 'plateau_iso', 'plateau_aniso'] | |
| kernel_prob: [0.45, 0.25, 0.12, 0.03, 0.12, 0.03] | |
| sinc_prob: 0.1 | |
| blur_sigma: [0.2, 3] | |
| betag_range: [0.5, 4] | |
| betap_range: [1, 2] | |
| blur_kernel_size2: 21 | |
| kernel_list2: ['iso', 'aniso', 'generalized_iso', 'generalized_aniso', 'plateau_iso', 'plateau_aniso'] | |
| kernel_prob2: [0.45, 0.25, 0.12, 0.03, 0.12, 0.03] | |
| sinc_prob2: 0.1 | |
| blur_sigma2: [0.2, 1.5] | |
| betag_range2: [0.5, 4] | |
| betap_range2: [1, 2] | |
| final_sinc_prob: 0.8 | |
| gt_size: 256 | |
| use_hflip: True | |
| use_rot: False | |
| # data loader | |
| use_shuffle: true | |
| num_worker_per_gpu: 5 | |
| batch_size_per_gpu: 12 | |
| dataset_enlarge_ratio: 1 | |
| prefetch_mode: ~ | |
| # Uncomment these for validation | |
| # val: | |
| # name: validation | |
| # type: PairedImageDataset | |
| # dataroot_gt: path_to_gt | |
| # dataroot_lq: path_to_lq | |
| # io_backend: | |
| # type: disk | |
| # network structures | |
| network_g: | |
| type: RRDBNet | |
| num_in_ch: 3 | |
| num_out_ch: 3 | |
| num_feat: 64 | |
| num_block: 23 | |
| num_grow_ch: 32 | |
| network_d: | |
| type: UNetDiscriminatorSN | |
| num_in_ch: 3 | |
| num_feat: 64 | |
| skip_connection: True | |
| # path | |
| path: | |
| # use the pre-trained Real-ESRNet model | |
| pretrain_network_g: experiments/pretrained_models/RealESRNet_x4plus.pth | |
| param_key_g: params_ema | |
| strict_load_g: true | |
| pretrain_network_d: experiments/pretrained_models/RealESRGAN_x4plus_netD.pth | |
| param_key_d: params | |
| strict_load_d: true | |
| resume_state: ~ | |
| # training settings | |
| train: | |
| ema_decay: 0.999 | |
| optim_g: | |
| type: Adam | |
| lr: !!float 1e-4 | |
| weight_decay: 0 | |
| betas: [0.9, 0.99] | |
| optim_d: | |
| type: Adam | |
| lr: !!float 1e-4 | |
| weight_decay: 0 | |
| betas: [0.9, 0.99] | |
| scheduler: | |
| type: MultiStepLR | |
| milestones: [400000] | |
| gamma: 0.5 | |
| total_iter: 400000 | |
| warmup_iter: -1 # no warm up | |
| # losses | |
| pixel_opt: | |
| type: L1Loss | |
| loss_weight: 1.0 | |
| reduction: mean | |
| # perceptual loss (content and style losses) | |
| perceptual_opt: | |
| type: PerceptualLoss | |
| layer_weights: | |
| # before relu | |
| 'conv1_2': 0.1 | |
| 'conv2_2': 0.1 | |
| 'conv3_4': 1 | |
| 'conv4_4': 1 | |
| 'conv5_4': 1 | |
| vgg_type: vgg19 | |
| use_input_norm: true | |
| perceptual_weight: !!float 1.0 | |
| style_weight: 0 | |
| range_norm: false | |
| criterion: l1 | |
| # gan loss | |
| gan_opt: | |
| type: GANLoss | |
| gan_type: vanilla | |
| real_label_val: 1.0 | |
| fake_label_val: 0.0 | |
| loss_weight: !!float 1e-1 | |
| net_d_iters: 1 | |
| net_d_init_iters: 0 | |
| # Uncomment these for validation | |
| # validation settings | |
| # val: | |
| # val_freq: !!float 5e3 | |
| # save_img: True | |
| # metrics: | |
| # psnr: # metric name | |
| # type: calculate_psnr | |
| # crop_border: 4 | |
| # test_y_channel: false | |
| # logging settings | |
| logger: | |
| print_freq: 100 | |
| save_checkpoint_freq: !!float 5e3 | |
| use_tb_logger: true | |
| wandb: | |
| project: ~ | |
| resume_id: ~ | |
| # dist training settings | |
| dist_params: | |
| backend: nccl | |
| port: 29500 | |