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| _base_ = ['../_base_/models/cgnet.py', '../_base_/default_runtime.py'] | |
| # optimizer | |
| optimizer = dict(type='Adam', lr=0.001, eps=1e-08, weight_decay=0.0005) | |
| optimizer_config = dict() | |
| # learning policy | |
| lr_config = dict(policy='poly', power=0.9, min_lr=1e-4, by_epoch=False) | |
| # runtime settings | |
| total_iters = 60000 | |
| checkpoint_config = dict(by_epoch=False, interval=4000) | |
| evaluation = dict(interval=4000, metric='mIoU') | |
| # dataset settings | |
| dataset_type = 'CityscapesDataset' | |
| data_root = 'data/cityscapes/' | |
| img_norm_cfg = dict( | |
| mean=[72.39239876, 82.90891754, 73.15835921], std=[1, 1, 1], to_rgb=True) | |
| crop_size = (512, 1024) | |
| train_pipeline = [ | |
| dict(type='LoadImageFromFile'), | |
| dict(type='LoadAnnotations'), | |
| dict(type='Resize', img_scale=(2048, 1024), ratio_range=(0.5, 2.0)), | |
| dict(type='RandomCrop', crop_size=crop_size, cat_max_ratio=0.75), | |
| dict(type='RandomFlip', flip_ratio=0.5), | |
| dict(type='PhotoMetricDistortion'), | |
| dict(type='Normalize', **img_norm_cfg), | |
| dict(type='Pad', size=crop_size, pad_val=0, seg_pad_val=255), | |
| dict(type='DefaultFormatBundle'), | |
| dict(type='Collect', keys=['img', 'gt_semantic_seg']), | |
| ] | |
| test_pipeline = [ | |
| dict(type='LoadImageFromFile'), | |
| dict( | |
| type='MultiScaleFlipAug', | |
| img_scale=(2048, 1024), | |
| # img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75], | |
| flip=False, | |
| transforms=[ | |
| dict(type='Resize', keep_ratio=True), | |
| dict(type='RandomFlip'), | |
| dict(type='Normalize', **img_norm_cfg), | |
| dict(type='ImageToTensor', keys=['img']), | |
| dict(type='Collect', keys=['img']), | |
| ]) | |
| ] | |
| data = dict( | |
| samples_per_gpu=8, | |
| workers_per_gpu=8, | |
| train=dict( | |
| type=dataset_type, | |
| data_root=data_root, | |
| img_dir='leftImg8bit/train', | |
| ann_dir='gtFine/train', | |
| pipeline=train_pipeline), | |
| val=dict( | |
| type=dataset_type, | |
| data_root=data_root, | |
| img_dir='leftImg8bit/val', | |
| ann_dir='gtFine/val', | |
| pipeline=test_pipeline), | |
| test=dict( | |
| type=dataset_type, | |
| data_root=data_root, | |
| img_dir='leftImg8bit/val', | |
| ann_dir='gtFine/val', | |
| pipeline=test_pipeline)) | |