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HAT_tile_example.yml
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HAT_tile_example.yml
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name: HAT_SRx4_ImageNet-pretrain
model_type: HATModel
scale: 4
num_gpu: 1 # set num_gpu: 0 for cpu mode
manual_seed: 0
tile: # use the tile mode for limited GPU memory when testing.
tile_size: 256 # the higher, the less utilized GPU memory. must be an integer multiple of the window size.
tile_pad: 32 # overlapping between adjacency patches.must be an integer multiple of the window size.
datasets:
test_1: # the 1st test dataset
name: Set5
type: PairedImageDataset
dataroot_gt: ./datasets/Set5/GTmod4
dataroot_lq: ./datasets/Set5/LRbicx4
io_backend:
type: disk
# test_2: # the 2nd test dataset
# name: Set14
# type: PairedImageDataset
# dataroot_gt: ./datasets/Set14/GTmod4
# dataroot_lq: ./datasets/Set14/LRbicx4
# io_backend:
# type: disk
test_3:
name: Urban100
type: PairedImageDataset
dataroot_gt: ./datasets/urban100/GTmod4
dataroot_lq: ./datasets/urban100/LRbicx4
io_backend:
type: disk
# test_4:
# name: BSDS100
# type: PairedImageDataset
# dataroot_gt: ./datasets/BSDS100/GTmod4
# dataroot_lq: ./datasets/BSDS100/LRbicx4
# io_backend:
# type: disk
# test_5:
# name: Manga109
# type: PairedImageDataset
# dataroot_gt: ./datasets/manga109/GTmod4
# dataroot_lq: ./datasets/manga109/LRbicx4
# io_backend:
# type: disk
# network structures
network_g:
type: HAT
upscale: 4
in_chans: 3
img_size: 64
window_size: 16
compress_ratio: 3
squeeze_factor: 30
conv_scale: 0.01
overlap_ratio: 0.5
img_range: 1.
depths: [6, 6, 6, 6, 6, 6]
embed_dim: 180
num_heads: [6, 6, 6, 6, 6, 6]
mlp_ratio: 2
upsampler: 'pixelshuffle'
resi_connection: '1conv'
# path
path:
pretrain_network_g: ./experiments/pretrained_models/HAT_SRx4_ImageNet-pretrain.pth
strict_load_g: true
param_key_g: 'params_ema'
# validation settings
val:
save_img: true
suffix: ~ # add suffix to saved images, if None, use exp name
metrics:
psnr: # metric name, can be arbitrary
type: calculate_psnr
crop_border: 4
test_y_channel: true
ssim:
type: calculate_ssim
crop_border: 4
test_y_channel: true