Spaces:
Running
Running
File size: 4,741 Bytes
2514fb4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 |
{
"task": "msrresnet_gan" //
, "model": "gan" // "gan"
, "gpu_ids": [0]
, "scale": 4 // broadcast to "netG" if SISR
, "n_channels": 3 // broadcast to "datasets", 1 for grayscale, 3 for color
, "sigma": [0, 50] // 15, 25, 50 for DnCNN | [0, 75] for FDnCNN and FFDNet
, "sigma_test": 0 // 15, 25, 50 for DnCNN, FDnCNN and FFDNet, 0 for SR
, "merge_bn": false // if no BN exists, set false
, "merge_bn_startpoint": 400000 // merge BN after N iterations
, "path": {
"root": "superresolution" // "denoising" | "superresolution"
, "pretrained_netG": null // path of pretrained model
, "pretrained_netD": null // path of pretrained model
, "pretrained_netE": null // path of pretrained model
}
, "datasets": {
"train": {
"name": "train_dataset" // just name
, "dataset_type": "sr" // "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
, "H_size": 96 // patch size 40 | 64 | 96 | 128 | 192
, "dataloader_shuffle": true
, "dataloader_num_workers": 8
, "dataloader_batch_size": 32 // batch size 1 | 16 | 32 | 48 | 64 | 128
}
, "test": {
"name": "test_dataset" // just name
, "dataset_type": "sr" // "dncnn" | "dnpatch" | "fdncnn" | "ffdnet" | "sr" | "srmd" | "dpsr" | "plain" | "plainpatch"
, "dataroot_H": "testsets/set5" // path of H testing dataset
, "dataroot_L": null // path of L testing dataset
}
}
, "netG": {
"net_type": "msrresnet0" // "dncnn" | "fdncnn" | "ffdnet" | "srmd" | "dpsr" | "msrresnet0" | "msrresnet1" | "rrdb"
, "in_nc": 3 // input channel number
, "out_nc": 3 // ouput channel number
, "nc": 64 // 96 for DPSR, 128 for SRMD, 64 for DnCNN and MSRResNet
, "nb": 16 // 12 for "srmd", 15 for "ffdnet", 20 for "dncnn", 16 for "srresnet" and "dpsr"
, "gc": 32 // unused
, "ng": 2 // unused
, "reduction" : 16 // unused
, "act_mode": "R" // "BR" for BN+ReLU | "R" for ReLU
, "upsample_mode": "upconv" // "pixelshuffle" | "convtranspose" | "upconv"
, "downsample_mode": "strideconv" // "strideconv" | "avgpool" | "maxpool"
, "init_type": "orthogonal" // "orthogonal" | "normal" | "uniform" | "xavier_normal" | "xavier_uniform" | "kaiming_normal" | "kaiming_uniform"
, "init_bn_type": "uniform" // "uniform" | "constant"
, "init_gain": 0.2
}
, "netD": {
"net_type": "discriminator_vgg_96" // "discriminator_patchgan" | "discriminator_unet" | "discriminator_vgg_192" | "discriminator_vgg_128" | "discriminator_vgg_96"
, "in_nc": 3
, "base_nc": 64
, "act_mode": "BL" // "BL" means BN+LeakyReLU
, "n_layers": 3 // only for "net_type":"discriminator_patchgan"
, "norm_type": 3 // only for "net_type":"discriminator_patchgan" | 'batch', 'instance', 'spectral', 'batchspectral', instancespectral'
, "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" | "l2" | "l2sum" | "l1c" | "ssim"
, "G_lossfn_weight": 1e-2
, "F_lossfn_type": "l1" // "l1" | "l2"
, "F_lossfn_weight": 1
, "F_feature_layer": 34 // 25 | [2,7,16,25,34]
, "F_weights": 1.0 // 1.0 | [0.1,0.1,1.0,1.0,1.0]
, "F_use_input_norm": true
, "F_use_range_norm": false
, "gan_type": "ragan" // "gan" | "ragan" | "lsgan" | "wgan" | "softplusgan"
, "D_lossfn_weight": 5e-3
, "E_decay": 0.999 // Exponential Moving Average for netG: set 0 to disable; default setting 0.999
, "D_init_iters": 0
, "G_optimizer_type": "adam"
, "G_optimizer_lr": 1e-5
, "G_optimizer_wd": 0
, "D_optimizer_type": "adam"
, "D_optimizer_lr": 1e-5
, "D_optimizer_wd": 0
, "G_scheduler_type": "MultiStepLR"
, "G_scheduler_milestones": [200000, 800000, 1200000, 2000000]
, "G_scheduler_gamma": 0.5
, "G_optimizer_reuse": false
, "D_scheduler_type": "MultiStepLR"
, "D_scheduler_milestones": [200000, 800000, 1200000, 2000000]
, "D_scheduler_gamma": 0.5
, "D_optimizer_reuse": false
, "G_param_strict": true
, "D_param_strict": true
, "E_param_strict": true
, "checkpoint_test": 5000
, "checkpoint_save": 5000
, "checkpoint_print": 200
}
}
|