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- 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
- brightness_range: 0.4
- contrast_range: 0.4
- saturation_range: 0.4
- - type: Normalize
- mode: train
- val_dataset:
- type: Cityscapes
- dataset_root: data/cityscapes
- transforms:
- - type: Normalize
- mode: val
- 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
- loss:
- types:
- - type: CrossEntropyLoss
- coef: [1]
- model:
- type: DeepLabV3
- backbone:
- type: ResNet101_vd
- output_stride: 8
- multi_grid: [1, 2, 4]
- pretrained: https://bj.bcebos.com/paddleseg/dygraph/resnet101_vd_ssld.tar.gz
- backbone_indices: [3]
- aspp_ratios: [1, 12, 24, 36]
- aspp_out_channels: 256
- align_corners: False
- pretrained: null
|
