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- batch_size: 4
- iters: 160000
- train_dataset:
- type: Dataset
- dataset_root: data/Cityscapes/
- train_path: data/Cityscapes/train.txt
- num_classes: 150
- transforms:
- - type: ResizeByShort
- short_size: [256, 307, 358, 409, 460, 512, 563, 614, 665, 716, 768, 819, 870, 921, 972, 1024]
- max_size: 2048
- - type: RandomPaddingCrop
- crop_size: [512, 512]
- - type: RandomDistort
- brightness_range: 0.125
- brightness_prob: 1.0
- contrast_range: 0.5
- contrast_prob: 1.0
- saturation_range: 0.5
- saturation_prob: 1.0
- hue_range: 18
- hue_prob: 1.0
- - type: RandomHorizontalFlip
- - type: GenerateInstanceTargets
- num_classes: 150
- ignore_index: 255
- - type: Normalize
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- mode: train
- val_dataset:
- type: Dataset
- dataset_root: datasets/Cityscapes
- val_path: datasets/Cityscapes/val.txt
- num_classes: 150
- transforms:
- - type: Resize
- target_size: [512, 512]
- keep_ratio: False
- interp: LINEAR
- - type: Normalize
- mean: [0.485, 0.456, 0.406]
- std: [0.229, 0.224, 0.225]
- mode: val
- model:
- type: MaskFormer
- num_classes: 150
- backbone:
- type: SwinTransformer_tiny_patch4_window7_224_maskformer
- pretrained: https://bj.bcebos.com/paddleseg/paddleseg/dygraph/ade20k/maskformer_ade20k_swin_tiny/pretrain/model.pdparams
- optimizer:
- type: AdamW
- weight_decay: 0.01
- custom_cfg:
- - name: backbone
- lr_mult: 1.0
- - name: norm
- weight_decay_mult: 0.0
- - name: relative_position_bias_table
- weight_decay_mult: 0.0
- grad_clip_cfg:
- name: ClipGradByNorm
- clip_norm: 0.01
- lr_scheduler:
- type: PolynomialDecay
- warmup_iters: 1500
- warmup_start_lr: 6.0e-11
- learning_rate: 6.0e-05
- end_lr: 0
- power: 0.9
- loss:
- types:
- - type: MaskFormerLoss
- num_classes: 150
- eos_coef: 0.1
- coef: [1]
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