config_getting_started_segmentation_histo2d.yaml

batch_size: 1
clip_grad: null
clip_mode: null
data_augmentation: {}
data_postprocessing: {}
data_postprocessing_after_reverse_one_hot_encoding: {}
data_preprocessing:
  normalize: null
  resize_image:
  - 128
  - 128
enable_padding: false
grid_aggregator_overlap: crop
in_memory: false
inference_mechanism:
  grid_aggregator_overlap: average
  patch_overlap: 0
learning_rate: 0.001
loss_function: dc
medcam_enabled: false
metrics:
- dice
modality: histo
model:
  amp: true
  architecture: resunet
  base_filters: 32
  class_list:
  - 0
  - 255
  data_type: FP32
  dimension: 2
  final_layer: sigmoid
  ignore_label_validation: null
  norm_type: instance
  num_channels: 3
  onnx_export: true
  print_summary: true
  save_at_every_epoch: false
  type: torch
nested_training:
  testing: 1
  validation: -2
num_epochs: 1
optimizer:
  type: adam
parallel_compute_command: ''
patch_sampler: uniform
patch_size:
- 128
- 128
- 1
patience: 1
pin_memory_dataloader: false
print_rgb_label_warning: true
q_max_length: 1
q_num_workers: 0
q_samples_per_volume: 1
q_verbose: false
save_output: false
save_training: false
scaling_factor: 1
scheduler:
  step_size: 0.0002
  type: triangle
track_memory_usage: false
verbose: true
version:
  maximum: 0.1.3-dev
  minimum: 0.0.14
weighted_loss: true