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# dataset and data loader settings
datasets:
train:
name: FFHQ
type: FFHQDegradationDataset
# dataroot_gt: datasets/ffhq/ffhq_512.lmdb
dataroot_gt: ../../../../share/shuaiyang/ffhq/realign1280x1280test/
io_backend:
# type: lmdb
type: disk
use_hflip: true
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
out_size: 1280
scale: 4
blur_kernel_size: 41
kernel_list: ['iso', 'aniso']
kernel_prob: [0.5, 0.5]
blur_sigma: [0.1, 10]
downsample_range: [4, 40]
noise_range: [0, 20]
jpeg_range: [60, 100]
# color jitter and gray
#color_jitter_prob: 0.3
#color_jitter_shift: 20
#color_jitter_pt_prob: 0.3
#gray_prob: 0.01
# If you do not want colorization, please set
color_jitter_prob: ~
color_jitter_pt_prob: ~
gray_prob: 0.01
gt_gray: True
crop_components: true
component_path: ./pretrained_models/FFHQ_eye_mouth_landmarks_512.pth
eye_enlarge_ratio: 1.4
# data loader
use_shuffle: true
num_worker_per_gpu: 6
batch_size_per_gpu: 4
dataset_enlarge_ratio: 1
prefetch_mode: ~
val:
# Please modify accordingly to use your own validation
# Or comment the val block if do not need validation during training
name: validation
type: PairedImageDataset
dataroot_lq: datasets/faces/validation/input
dataroot_gt: datasets/faces/validation/reference
io_backend:
type: disk
mean: [0.5, 0.5, 0.5]
std: [0.5, 0.5, 0.5]
scale: 1
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