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- batch_size: 2
- iters: 160000
- train_dataset:
- type: Dataset
- dataset_root: datasets/Cityscapes
- train_path: datasets/Cityscapes/train.txt
- num_classes: 19
- 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: Dataset
- dataset_root: datasets/Cityscapes
- val_path: datasets/Cityscapes/val.txt
- num_classes: 19
- transforms:
- - type: Normalize
- mode: val
- model:
- type: OCRNet
- backbone:
- type: HRNet_W48
- pretrained: https://bj.bcebos.com/paddleseg/dygraph/hrnet_w48_ssld.tar.gz
- backbone_indices: [0]
- 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
- - type: CrossEntropyLoss
- coef: [1, 0.4]
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