113 lines
2.2 KiB
YAML
113 lines
2.2 KiB
YAML
# ------------------------------------------------------------------------
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# Copyright (c) 2022 megvii-model. All Rights Reserved.
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# ------------------------------------------------------------------------
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# Modified from BasicSR (https://github.com/xinntao/BasicSR)
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# Copyright 2018-2020 BasicSR Authors
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# ------------------------------------------------------------------------
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# general settings
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name: NAFNetSR-L_x2
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model_type: ImageRestorationModel
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scale: 2
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num_gpu: 8
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manual_seed: 10
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datasets:
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train:
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name: Flickr1024-sr-train
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type: PairedStereoImageDataset
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dataroot_gt: datasets/StereoSR/patches_x2/
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dataroot_lq: datasets/StereoSR/patches_x2/
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io_backend:
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type: disk
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gt_size_h: 60
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gt_size_w: 180
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use_hflip: true
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use_vflip: true
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use_rot: false
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flip_RGB: true
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# data loader
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use_shuffle: true
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num_worker_per_gpu: 4
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batch_size_per_gpu: 4
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dataset_enlarge_ratio: 1
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prefetch_mode: ~
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val:
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name: Flickr1024-sr-test
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type: PairedStereoImageDataset
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dataroot_gt: datasets/StereoSR/test/Flickr1024/hr
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dataroot_lq: datasets/StereoSR/test/Flickr1024/lr_x2
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io_backend:
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type: disk
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# network structures
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network_g:
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type: NAFSSR
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up_scale: 2
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width: 128
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num_blks: 128
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drop_path_rate: 0.3
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train_size: [1, 6, 30, 90]
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drop_out_rate: 0.
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# path
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path:
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pretrain_network_g: ~
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strict_load_g: true
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resume_state: ~
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# training settings
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train:
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optim_g:
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type: AdamW
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lr: !!float 3e-3
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weight_decay: !!float 0
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betas: [0.9, 0.9]
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scheduler:
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type: TrueCosineAnnealingLR
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T_max: 100000
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eta_min: !!float 1e-7
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total_iter: 100000
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warmup_iter: -1 # no warm up
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mixup: false
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# losses
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pixel_opt:
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type: MSELoss
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loss_weight: 1.
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reduction: mean
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# validation settings
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val:
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val_freq: !!float 2e4
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save_img: false
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trans_num: 1
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max_minibatch: 1
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metrics:
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psnr: # metric name, can be arbitrary
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type: calculate_psnr
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crop_border: 0
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test_y_channel: false
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ssim:
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type: calculate_skimage_ssim
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# logging settings
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logger:
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print_freq: 200
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save_checkpoint_freq: !!float 1e4
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use_tb_logger: true
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wandb:
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project: ~
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resume_id: ~
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# dist training settings
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dist_params:
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backend: nccl
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port: 29500
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