image-matting-app / configs /ppmatting-hrnet_w48-distinctions.yml
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batch_size: 4
iters: 300000
train_dataset:
type: MattingDataset
dataset_root: data/matting/Distinctions-646
train_file: train.txt
transforms:
- type: LoadImages
- type: Padding
target_size: [512, 512]
- type: RandomCrop
crop_size: [[512, 512],[640, 640], [800, 800]]
- type: Resize
target_size: [512, 512]
- type: RandomDistort
- type: RandomBlur
prob: 0.1
- type: RandomHorizontalFlip
- type: Normalize
mode: train
separator: '|'
val_dataset:
type: MattingDataset
dataset_root: data/matting/Distinctions-646
val_file: val.txt
transforms:
- type: LoadImages
- type: LimitShort
max_short: 1536
- type: ResizeToIntMult
mult_int: 32
- type: Normalize
mode: val
get_trimap: False
separator: '|'
model:
type: PPMatting
backbone:
type: HRNet_W48
# pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w48_ssld.tar.gz
pretrained: Null
optimizer:
type: sgd
momentum: 0.9
weight_decay: 4.0e-5
lr_scheduler:
type: PolynomialDecay
learning_rate: 0.01
end_lr: 0
power: 0.9