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superIX

Image-to-Image
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Sentinel-2
sentinel2
S2
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superIX
File size: 1,307 Bytes 
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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: {
  version: 'v2',
  model: {
    upscale: 2,
    use_lepe: true,
    use_cpb_bias: false,
    use_rpe_bias: true,
    mlp_ratio: 1,
    MoE_config: {
      k: 2,
      num_experts: 8,
      with_noise: false,
      with_smart_merger: v1,
    },
    depths: [6, 6, 6, 6],
    embed_dim: 90,
    img_range: 1.,
    img_size: 64,
    in_chans: 4,
    num_heads: [6, 6, 6, 6],
    resi_connection: 1conv,
    upsampler: pixelshuffledirect,
    window_size: 16,
  }
}