hrnet48.yml

batch_size: 2
iters: 80000

train_dataset:
  type: Cityscapes
  dataset_root: data/cityscapes
  transforms:
    - type: ResizeStepScaling
      min_scale_factor: 0.5
      max_scale_factor: 2.0
      scale_step_size: 0.25
    - type: RandomPaddingCrop
      crop_size: [1024, 512]
    - type: RandomHorizontalFlip
    - type: RandomDistort
    - type: Normalize
  mode: train

val_dataset:
  type: Cityscapes
  dataset_root: data/cityscapes
  transforms:
    - type: Normalize
  mode: val

model:
  type: FCN
  backbone:
    type: HRNet_W48
    pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w48_ssld.tar.gz
    padding_same: False
  num_classes: 19
  backbone_indices: [-1]
  bias: False

optimizer:
  type: sgd
  weight_decay: 0.0005

learning_rate:
  value: 0.01
  decay:
    type: poly
    power: 0.9
    end_lr: 0.0

loss:
  types:
    - type: CrossEntropyLoss
      ignore_index: 255
  coef: [1]