name: "RDA_ResNet101_DeepLabv3plus_simple_unadjusted" model: "DeepLabV3PlusResNet" task: "RDA" masking_strategy_parameters: road_width_pixels: 40 train_location_strategy: "grid" train_location_parameters: sample_generator_process_pool_size: 6 adjustment_buffer_distance_px: 326 train_presentation_strategy: "weighted" train_presentation_strategy_parameters: length: 4000 expected_class_balances: Not Able To Determine: 1 Partial Flooding: 1 Partial Obstruction: 1 Partial Road Condition: 1 Particulate Partial: 1 Particulate Total: 1 Road Line: 1 Total Destruction: 1 Total Flooding: 1 Total Obstruction: 1 balance_monitor: "pixel" train_dataset_adaptor_parameters: tile_x: 1024 tile_y: 1024 mask_x: 1024 mask_y: 1024 backend: "auto" train_annotator_parameters: generate_adjusted_samples: False validation_location_strategy: "grid" validation_location_parameters: sample_generator_process_pool_size: 6 adjustment_buffer_distance_px: 326 validation_presentation_strategy: "indexed" validation_dataset_adaptor_parameters: tile_x: 1024 tile_y: 1024 mask_x: 1024 mask_y: 1024 backend: "auto" validation_annotator_parameters: generate_adjusted_samples: False channel_maps: background_class_idx: 0 default_label: Road Line input_dataset_class_2_idx_map: Background: 0 Not Able To Determine: 3 Partial Flooding: 2 Partial Obstruction: 2 Partial Road Condition: 2 Particulate Partial: 2 Particulate Total: 3 Road Line: 1 Total Destruction: 3 Total Flooding: 3 Total Obstruction: 3 model_class_2_color_map: Background: alpha: 0 blue: 0 green: 0 red: 0 Partial: alpha: 255 blue: 0 green: 255 red: 255 Road Line: alpha: 255 blue: 0 green: 255 red: 0 Total: alpha: 255 blue: 0 green: 0 red: 255 output_class_2_idx_map: Background: 0 Partial: 2 Road Line: 1 Total: 3 input: road_line_buffer_width_pixels: 40 road_line_segment_length_pixels: 40 channels: blue: 2 green: 1 mask: 3 red: 0 normalized_inputs: true mask_input: false sample_generator_parameters: label_tolerance: 0 normalized_inputs: true validation_parameters: batch_size: 1 validation_monitor: "val_macro_iou" validation_monitor_mode: "max" validation_checkpoint_save_top_k: 3 validation_reduce_lr_on_plateau_patience: 3 validation_reduce_lr_on_plateau_cooldown: 3 training_parameters: gradient_clip_val: 10.0 batch_size: 1 grad_accumulation: 32 l1_reg: 1.0e-06 l2_reg: 1.0e-05 log_images_every_n_steps: 100 mask_x: 1024 mask_y: 1024 max_epochs: 100 optimizer_parameters: name: "AdamW" lr: 0.0005 weight_decay: 0.00001 output_class_weights_strategy: "ipw" normalize_weights: True #Added output_class_weights: Background: 1.0e-06 Partial: 45 Road Line: 1 Total: 35 samples_per_epoch: 4000 tile_x: 1024 tile_y: 1024 loss_parameters: loss: [["focal", 1.0]] gamma: 3 alpha: 0.25 bins: 10 momentum: 0.9 smooth: 1.0e-06 model_parameters: n_cls: 4 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 decoder_parameters: in_channels: 2048 in_index: 3 channels: 512 dilations: [1, 12, 24, 36] c1_in_channels: 256 c1_channels: 48 dropout_ratio: 0.1 align_corners: False auxiliary_head_parameters: in_channels: 1024 in_index: 2 channels: 256 num_convs: 1 concat_input: False dropout_ratio: 0.1 align_corners: False