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_base_ = [ |
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'/home/liuziyuan/proj/RS-CD/rs-cd-cgwx/configs/_base_/models/changer_mit-b0.py', |
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'/home/liuziyuan/proj/rmcd-kd/configs/common/train_medium_512x512_100k_cgwx.py'] |
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dataset_type = 'LEVIR_CD_Dataset' |
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data_root = '/nas/datasets/lzy/RS-ChangeDetection/CGWX' |
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crop_size = (512, 512) |
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checkpoint = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/segformer/mit_b0_20220624-7e0fe6dd.pth' |
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model = dict( |
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pretrained=checkpoint, |
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backbone=dict( |
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interaction_cfg=( |
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None, |
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dict(type='SpatialExchange', p=1/2), |
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dict(type='ChannelExchange', p=1/2), |
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dict(type='ChannelExchange', p=1/2)) |
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), |
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decode_head=dict( |
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num_classes=2, |
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sampler=dict(type='mmseg.OHEMPixelSampler', thresh=0.7, min_kept=100000)), |
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) |
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train_pipeline = [ |
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dict(type='MultiImgLoadImageFromFile'), |
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dict(type='MultiImgLoadAnnotations'), |
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dict(type='MultiImgRandomRotFlip', rotate_prob=0.5, flip_prob=0.5, degree=(-20, 20)), |
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dict(type='MultiImgRandomCrop', crop_size=crop_size, cat_max_ratio=0.75), |
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dict(type='MultiImgExchangeTime', prob=0.5), |
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dict( |
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type='MultiImgPhotoMetricDistortion', |
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brightness_delta=10, |
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contrast_range=(0.8, 1.2), |
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saturation_range=(0.8, 1.2), |
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hue_delta=10), |
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dict(type='MultiImgPackSegInputs') |
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] |
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train_dataloader = dict( |
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dataset=dict(pipeline=train_pipeline)) |
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optimizer=dict( |
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type='AdamW', lr=0.0001, betas=(0.9, 0.999), weight_decay=0.01) |
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optim_wrapper = dict( |
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_delete_=True, |
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type='OptimWrapper', |
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optimizer=optimizer, |
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paramwise_cfg=dict( |
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custom_keys={ |
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'pos_block': dict(decay_mult=0.), |
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'norm': dict(decay_mult=0.), |
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'head': dict(lr_mult=10.) |
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})) |
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param_scheduler = [ |
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dict( |
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type='LinearLR', start_factor=1e-6, by_epoch=False, begin=0, end=1000), |
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dict( |
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type='PolyLR', |
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power=1.0, |
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begin=1000, |
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end=200000, |
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eta_min=0.0, |
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by_epoch=False, |
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) |
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] |
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train_cfg = dict(type='IterBasedTrainLoop', max_iters=200000, val_interval=2500) |
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val_cfg = dict(type='ValLoop') |
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test_cfg = dict(type='TestLoop') |
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default_hooks = dict( |
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timer=dict(type='IterTimerHook'), |
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logger=dict(type='LoggerHook', interval=50, log_metric_by_epoch=False), |
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param_scheduler=dict(type='ParamSchedulerHook'), |
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checkpoint=dict(type='CheckpointHook', by_epoch=False, interval=2500, |
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save_best='mIoU'), |
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sampler_seed=dict(type='DistSamplerSeedHook'), |
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visualization=dict(type='CDVisualizationHook', interval=1, |
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img_shape=(512, 512, 3))) |
