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| # general settings | |
| name: 001_ESRGAN_x4_f64b23_custom16k_500k_B16G1_wandb | |
| model_type: ESRGANModel | |
| scale: 4 | |
| num_gpu: 1 # set num_gpu: 0 for cpu mode | |
| manual_seed: 0 | |
| # dataset and data loader settings | |
| datasets: | |
| train: | |
| name: face_dataset | |
| type: PairedImageDataset | |
| dataroot_gt: data/hq | |
| dataroot_lq: data/lq | |
| filename_tmpl: '{}' | |
| io_backend: | |
| type: disk | |
| gt_size: 384 | |
| use_flip: true | |
| use_rot: true | |
| # data loader | |
| use_shuffle: true | |
| num_worker_per_gpu: 1 | |
| batch_size_per_gpu: 4 | |
| dataset_enlarge_ratio: 1 | |
| prefetch_mode: ~ | |
| # network structures | |
| network_g: | |
| type: RRDBNet | |
| num_in_ch: 3 | |
| num_out_ch: 3 | |
| num_feat: 64 | |
| num_block: 23 | |
| network_d: | |
| type: VGGStyleDiscriminator128 | |
| num_in_ch: 3 | |
| num_feat: 64 | |
| # path | |
| path: | |
| pretrain_network_g: ~ | |
| strict_load_g: true | |
| resume_state: checkpoints/pretrained.state | |
| # training settings | |
| train: | |
| 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: [50000, 100000, 200000, 300000] | |
| gamma: 0.5 | |
| total_iter: 150000 | |
| warmup_iter: -1 # no warm up | |
| # losses | |
| pixel_opt: | |
| type: L1Loss | |
| loss_weight: !!float 1e-2 | |
| reduction: mean | |
| perceptual_opt: | |
| type: PerceptualLoss | |
| layer_weights: | |
| 'conv5_4': 1 # before relu | |
| vgg_type: vgg19 | |
| use_input_norm: true | |
| range_norm: false | |
| perceptual_weight: 1.0 | |
| style_weight: 0 | |
| criterion: l1 | |
| gan_opt: | |
| type: GANLoss | |
| gan_type: vanilla | |
| real_label_val: 1.0 | |
| fake_label_val: 0.0 | |
| loss_weight: !!float 5e-3 | |
| net_d_iters: 1 | |
| net_d_init_iters: 0 | |
| # validation settings | |
| val: | |
| val_freq: !!float 25e2 | |
| save_img: true | |
| metrics: | |
| psnr: # metric name, can be arbitrary | |
| type: calculate_psnr | |
| crop_border: 4 | |
| test_y_channel: false | |
| # logging settings | |
| logger: | |
| print_freq: 100 | |
| save_checkpoint_freq: !!float 25e2 | |
| use_tb_logger: true | |
| wandb: | |
| project: ~ | |
| resume_id: ~ | |
| # dist training settings | |
| dist_params: | |
| backend: nccl | |
| port: 29500 | |