text: exp_name = 'basicvsr_plusplus_c128n25_600k_ntire_decompress_track2'
  
  # model settings
  model = dict(
      type='BasicVSR',
      generator=dict(
          type='BasicVSRPlusPlus',
          mid_channels=128,
          num_blocks=25,
          is_low_res_input=False,
          spynet_pretrained='https://download.openmmlab.com/mmediting/restorers/'
          'basicvsr/spynet_20210409-c6c1bd09.pth',
          cpu_cache_length=100),
      pixel_loss=dict(type='CharbonnierLoss', loss_weight=1.0, reduction='mean'))
  # model training and testing settings
  train_cfg = dict(fix_iter=5000)
  test_cfg = dict(metrics=['PSNR', 'SSIM'], crop_border=0)
  
  # dataset settings
  test_dataset_type = 'SRFolderMultipleGTDataset'
  test_pipeline = [
      dict(
          type='GenerateSegmentIndices',
          interval_list=[1],
          start_idx=1,
          filename_tmpl='{:03d}.png'),
      dict(
          type='LoadImageFromFileList',
          io_backend='disk',
          key='lq',
          channel_order='rgb'),
      dict(
          type='LoadImageFromFileList',
          io_backend='disk',
          key='gt',
          channel_order='rgb'),
      dict(type='RescaleToZeroOne', keys=['lq', 'gt']),
      dict(type='FramesToTensor', keys=['lq', 'gt']),
      dict(
          type='Collect',
          keys=['lq', 'gt'],
          meta_keys=['lq_path', 'gt_path', 'key'])
  ]
  
  demo_pipeline = [
      dict(type='GenerateSegmentIndices', interval_list=[1]),
      dict(
          type='LoadImageFromFileList',
          io_backend='disk',
          key='lq',
          channel_order='rgb'),
      dict(type='RescaleToZeroOne', keys=['lq']),
      dict(type='FramesToTensor', keys=['lq']),
      dict(type='Collect', keys=['lq'], meta_keys=['lq_path', 'key'])
  ]
  
  data = dict(
      test_dataloader=dict(samples_per_gpu=1, workers_per_gpu=1),
      test=dict(
          type=test_dataset_type,
          lq_folder='./data/NTIRE21_decompression_track2/LQ',
          gt_folder='./data/NTIRE21_decompression_track2/GT',
          pipeline=test_pipeline,
          scale=4,
          test_mode=True),
  )
  