image-matting-app / configs /ppmatting-2048.yml
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batch_size: 4
iters: 50000
train_dataset:
type: MattingDataset
dataset_root: data/PPM-100
train_file: train.txt
transforms:
- type: LoadImages
- type: RandomResize
size: [2048, 2048]
scale: [0.3, 1.5]
- type: RandomCrop
crop_size: [2048, 2048]
- type: RandomDistort
- type: RandomBlur
prob: 0.1
- type: RandomHorizontalFlip
- type: Padding
target_size: [2048, 2048]
- type: Normalize
mode: train
val_dataset:
type: MattingDataset
dataset_root: data/PPM-100
val_file: val.txt
transforms:
- type: LoadImages
- type: ResizeByShort
short_size: 2048
- type: ResizeToIntMult
mult_int: 128
- type: Normalize
mode: val
get_trimap: False
model:
type: HumanMatting
backbone:
type: ResNet34_vd
# pretrained: https://paddleseg.bj.bcebos.com/matting/models/ResNet34_vd_pretrained/model.pdparams
pretrained: Null
if_refine: True
optimizer:
type: sgd
momentum: 0.9
weight_decay: 4.0e-5
lr_scheduler:
type: PiecewiseDecay
boundaries: [30000, 40000]
values: [0.001, 0.0001, 0.00001]