sfnet_resnet18_os8_cityscapes_1024x1024_80k.yml

_base_: '../_base_/cityscapes_1024x1024.yml'

batch_size: 4
iters: 80000

model:
  type: SFNet
  backbone:
    type: ResNet18_vd
    output_stride: 8
    pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet18_vd_ssld_v2.tar.gz
  backbone_indices: [0, 1, 2, 3]

train_dataset:
  transforms:
    - type: ResizeStepScaling
      min_scale_factor: 0.5
      max_scale_factor: 2.0
      scale_step_size: 0.25
    - type: RandomPaddingCrop
      crop_size: [1024, 1024]
    - type: RandomHorizontalFlip
    - type: RandomDistort
      brightness_range: 0.4
      contrast_range: 0.4
      saturation_range: 0.4
    - type: Normalize

loss:
  types:
    - type: OhemCrossEntropyLoss
  coef: [1]

optimizer:
  type: SGD
  momentum: 0.9
  weight_decay: 0.0005