configs/config.inria_dataset_polygonized.ictnet.rmsprop.leaderboard.field_off.json

{
  "defaults_filepath": "configs/config.defaults.inria_dataset_polygonized.json",

  "run_name": "inria_dataset_polygonized.ictnet.rmsprop.leaderboard.field_off",

  "compute_crossfield": false,





  "seg_params": {
    "compute_interior": true,
    "compute_edge": false,
    "compute_vertex": false
  },





  "backbone_params": {
    "defaults_filepath": "configs/backbone_params.ictnet.json"  // Path from the project's root to a JSON with default values for backbone_params
  },

  "loss_params": {
    "seg_loss_params": {
      "bce_coef": 1.0,
      "dice_coef": 0.2,
      "use_dist": true,  // Dist weights as in the original U-Net paper
      "use_size": false  // Size weights increasing importance of smaller buildings
    }
  },

  "optim_params": {
    "optimizer": "RMSProp",
    "batch_size": 2  // Overwrite default batch size per GPU. The effective batch size is effective_batch_size=world_size*batch_size
  }
}