sen2venus_exp4_2x_v5.yml

__base__: sen2venus_exp4_4x_v5.yml
dataset:
  root_path: data/sen2venus
  stats:
    use_minmax: true
    tensor_05m_b2b3b4b8: {
      mean: [444.21923828125, 715.9031372070312, 813.4345703125, 2604.867919921875],
      std: [279.85552978515625, 385.3569641113281, 648.458984375, 796.9918212890625],
      min: [-1025.0, -3112.0, -5122.0, -3851.0],
      max: [14748.0, 14960.0, 16472.0, 16109.0]
    }
    tensor_10m_b2b3b4b8: {
      mean: [443.78643798828125, 715.4202270507812, 813.0512084960938, 2602.813232421875],
      std: [283.89276123046875, 389.26361083984375, 651.094970703125, 811.5682373046875],
      min: [-848.0, -902.0, -946.0, -323.0],
      max: [19684.0, 17982.0, 17064.0, 15958.0]
    }
  hr_name: tensor_05m_b2b3b4b8
  lr_name: tensor_10m_b2b3b4b8
  collate_fn: mods.v3.collate_fn
  denorm: mods.v3.uncollate_fn
  printable: mods.v3.printable
super_res: {
  model: {
    upscale: 2,
  }
}
metrics: {
  upscale_factor: 2,
}
visualize: {
  input_shape: [4, 128, 128],
}