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image-matting-app
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_base_: 'ppmatting-hrnet_w48-distinctions.yml'

batch_size: 4
iters: 200000

train_dataset:
  type: MattingDataset
  dataset_root: data/PPM-100
  train_file: train.txt
  transforms:
    - type: LoadImages
    - type: LimitShort
      max_short: 512
    - type: RandomCrop
      crop_size: [512, 512]
    - type: RandomDistort
    - type: RandomBlur
      prob: 0.1
    - type: RandomNoise
      prob: 0.5
    - type: RandomReJpeg
      prob: 0.2
    - type: RandomHorizontalFlip
    - type: Normalize
  mode: train

val_dataset:
  type: MattingDataset
  dataset_root: data/PPM-100
  val_file: val.txt
  transforms:
    - type: LoadImages
    - type: LimitShort
      max_short: 512
    - type: ResizeToIntMult
      mult_int: 32
    - type: Normalize
  mode: val
  get_trimap: False

model:
  backbone:
    type: HRNet_W18
    # pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w18_ssld.tar.gz