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{
"task": "dpsr" // root/task/images-models-options
, "model": "plain" // "plain" | "plain2" if two inputs
, "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
}
, "datasets": {
"train": {
"name": "train_dataset" // just name
, "dataset_type": "dpsr" // "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": "dpsr" // "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": "dpsr" // "dncnn" | "fdncnn" | "ffdnet" | "srmd" | "dpsr" | "msrresnet0" | "msrresnet1" | "rrdb"
, "in_nc": 4 // input channel number
, "out_nc": 3 // ouput channel number
, "nc": 96 // 96 for DPSR, 128 for SRMD, 64 for "dncnn"
, "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": "pixelshuffle" // "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
}
, "train": {
"G_lossfn_type": "l1" // "l1" preferred | "l2sum" | "l2" | "ssim"
, "G_lossfn_weight": 1.0 // default
, "G_optimizer_type": "adam" // fixed, adam is enough
, "G_optimizer_lr": 1e-4 // learning rate
, "G_optimizer_clipgrad": null // unused
, "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 // unused
, "checkpoint_test": 5000 // for testing
, "checkpoint_save": 5000 // for saving model
, "checkpoint_print": 200 // for print
}
}
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