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| scale: 4 | |
| num_gpu: 1 | |
| manual_seed: 0 | |
| is_train: True | |
| dist: False | |
| # ----------------- options for synthesizing training data ----------------- # | |
| gt_usm: True # USM the ground-truth | |
| # the first degradation process | |
| resize_prob: [0.2, 0.7, 0.1] # up, down, keep | |
| resize_range: [0.15, 1.5] | |
| gaussian_noise_prob: 1 | |
| noise_range: [1, 30] | |
| poisson_scale_range: [0.05, 3] | |
| gray_noise_prob: 1 | |
| jpeg_range: [30, 95] | |
| # the second degradation process | |
| second_blur_prob: 1 | |
| resize_prob2: [0.3, 0.4, 0.3] # up, down, keep | |
| resize_range2: [0.3, 1.2] | |
| gaussian_noise_prob2: 1 | |
| noise_range2: [1, 25] | |
| poisson_scale_range2: [0.05, 2.5] | |
| gray_noise_prob2: 1 | |
| jpeg_range2: [30, 95] | |
| gt_size: 32 | |
| queue_size: 1 | |
| # network structures | |
| network_g: | |
| type: RRDBNet | |
| num_in_ch: 3 | |
| num_out_ch: 3 | |
| num_feat: 4 | |
| num_block: 1 | |
| num_grow_ch: 2 | |
| # path | |
| path: | |
| pretrain_network_g: ~ | |
| param_key_g: params_ema | |
| strict_load_g: true | |
| resume_state: ~ | |
| # training settings | |
| train: | |
| ema_decay: 0.999 | |
| optim_g: | |
| type: Adam | |
| lr: !!float 2e-4 | |
| weight_decay: 0 | |
| betas: [0.9, 0.99] | |
| scheduler: | |
| type: MultiStepLR | |
| milestones: [1000000] | |
| gamma: 0.5 | |
| total_iter: 1000000 | |
| warmup_iter: -1 # no warm up | |
| # losses | |
| pixel_opt: | |
| type: L1Loss | |
| loss_weight: 1.0 | |
| reduction: mean | |
| # validation settings | |
| val: | |
| val_freq: !!float 5e3 | |
| save_img: False | |