| name: "BDA_UperNet_Resnet_CCE" |
| model_type: "MaskedTower" |
| model: "MaskedUperNet" |
| task: "BDA" |
| input: |
| normalized_inputs: true |
| mask_input: false |
| training: |
| training_parameters: |
| alpha: 0.25 |
| batch_size: 1 |
| gamma: 2 |
| grad_accumulation: 16 |
| l1_reg: 1.0e-09 |
| l2_reg: 1.0e-08 |
| log_images_every_n_steps: 100 |
| output_class_weights_strategy: "ipw" |
| normalize_weights: False |
| mask_x: 1024 |
| mask_y: 1024 |
| max_epochs: 1000 |
| optimizer_parameters: |
| name: "AdamW" |
| lr: 0.0005 |
| weight_decay: 0.0005 |
| output_class_weights: |
| background: 1.0e-06 |
| destroyed: 23.706 |
| major damage: 9.852 |
| minor damage: 3.193 |
| no damage: 1.95 |
| un-classified: 35.23 |
| samples_per_epoch: 4000 |
| tile_x: 1024 |
| tile_y: 1024 |
| loss_parameters: |
| loss: [["cross entropy", 1.0]] |
| gamma: 2 |
| alpha: 0.25 |
| bins: 10 |
| momentum: 0.9 |
| smooth: 1.0e-06 |
| validation: |
| validation_parameters: |
| validation_monitor: "val_macro_f1" |
| validation_monitor_mode: "max" |
| validation_checkpoint_save_top_k: 3 |
| validation_reduce_lr_on_plateau_cooldown: 3 |
| validation_reduce_lr_on_plateau_patience: 3 |
| batch_size: 1 |
| model_parameters: |
| decoder_parameters: |
| in_channels: [256, 512, 1024, 2048] |
| in_index: [0,1,2,3] |
| pool_scales: [1,2,3,6] |
| channels: 512 |
| dropout_ratio: 0.1 |
| norm_cfg: |
| type: 'SyncBN' |
| requires_grad: True |
| align_corners: False |
| out_indicies: [2,9,16,23] |
| n_cls: 6 |
| encoder_name: "resnet" |
| encoder_parameters: |
| depth: 101 |
| num_stages: 4 |
| out_indices: [0, 1, 2, 3] |
| dilations: [1, 1, 2, 4] |
| strides: [1, 2, 1, 1] |
| norm_eval: False |
| contract_dilation: True |
| auxiliary_head_parameters: |
| in_channels: 1024 |
| in_index: 2 |
| channels: 256 |
| num_convs: 1 |
| concat_input: False |
| dropout_ratio: 0.1 |
| align_corners: False |
|
|
