Spaces:
Running
Running
| { | |
| "task": "bsrgan_x4_psnr" // root/task/images|models|options | |
| , "model": "plain" // "plain" | "plain2" if two inputs | |
| , "gpu_ids": [0] // [0,1,2,3] for 4 GPUs | |
| , "dist": true | |
| , "scale": 4 // broadcast to "datasets" | |
| , "n_channels": 3 // broadcast to "datasets", 1 for grayscale, 3 for color | |
| , "path": { | |
| "root": "superresolution" // "denoising" | "superresolution" | |
| , "pretrained_netG": null // path of pretrained model | |
| , "pretrained_netE": null // path of pretrained model | |
| } | |
| , "datasets": { | |
| "train": { | |
| "name": "train_dataset" // fixed | |
| , "dataset_type": "blindsr" // "dncnn" | "dnpatch" | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch" | |
| , "dataroot_H": "trainsets/trainH"// path of H training dataset | |
| , "dataroot_L": null // path of L training dataset | |
| , "degradation_type": "bsrgan" // "bsrgan" | "bsrgan_plus" | |
| , "H_size": 320 // patch_size 256 | 288 | 320 | |
| , "shuffle_prob": 0.1 // | |
| , "lq_patchsize": 72 | |
| , "use_sharp": false | |
| , "dataloader_shuffle": true | |
| , "dataloader_num_workers": 8 // 8 | 32 | 64 | |
| , "dataloader_batch_size": 4 // batch size for all GPUs, 1 | 16 | 32 | 48 | 64 | 128 | |
| } | |
| , "test": { | |
| "name": "test_dataset" // fixed | |
| , "dataset_type": "blindsr" | |
| , "degradation_type": "bsrgan" // "bsrgan" | "bsrgan_plus" | |
| , "H_size": 320 // patch_size 256 | 288 | 320 | |
| , "shuffle_prob": 0.1 // | |
| , "lq_patchsize": 72 | |
| , "use_sharp": false | |
| , "dataroot_H": "testsets/set5" // path of H testing dataset | |
| , "dataroot_L": null // path of L testing dataset | |
| } | |
| } | |
| , "netG": { | |
| "net_type": "rrdbnet" // "dncnn" | "fdncnn" | "ffdnet" | "srmd" | "dpsr" | "srresnet0" | "srresnet1" | "rrdbnet" | |
| , "in_nc": 3 // input channel number | |
| , "out_nc": 3 // ouput channel number | |
| , "nf": 64 // 96 for DPSR, 128 for SRMD, 64 for "dncnn" | |
| , "nb": 23 // 12 for "srmd", 15 for "ffdnet", 20 for "dncnn", 16 for "srresnet" and "dpsr" | |
| , "gc": 32 // | |
| , "ng": 2 // unused | |
| , "reduction" : 16 // unused | |
| , "act_mode": "L" // "BR" for BN+ReLU | "R" for ReLU | |
| , "bias": true | |
| , "init_type": "orthogonal" // "orthogonal" | "normal" | "uniform" | "xavier_normal" | "xavier_uniform" | "kaiming_normal" | "kaiming_uniform" | |
| , "init_bn_type": "uniform" // "uniform" | "constant" | |
| , "init_gain": 0.2 | |
| } | |
| , "train": { | |
| "G_lossfn_type": "l1" // "l1" preferred | "l2sum" | "l2" | "ssim" | |
| , "G_lossfn_weight": 1.0 // default | |
| , "E_decay": 0.999 // Exponential Moving Average for netG: set 0 to disable; default setting 0.999 | |
| , "G_optimizer_type": "adam" // fixed, adam is enough | |
| , "G_optimizer_lr": 1e-4 // learning rate | |
| , "G_optimizer_clipgrad": null // unused | |
| , "G_optimizer_reuse": true | |
| , "G_scheduler_type": "MultiStepLR" // "MultiStepLR" is enough | |
| , "G_scheduler_milestones": [200000, 400000, 600000, 800000, 1000000, 2000000] | |
| , "G_scheduler_gamma": 0.5 | |
| , "G_regularizer_orthstep": null // unused | |
| , "G_regularizer_clipstep": null // | |
| , "G_param_strict": true | |
| , "E_param_strict": true | |
| , "checkpoint_test": 500000000 // skip testing | |
| , "checkpoint_save": 5000 // for saving model | |
| , "checkpoint_print": 200 // for print | |
| } | |
| } | |