runtime error

type='Resize'), dict(keep_ratio=True, scale_factor=1.0, type='Resize'), dict(keep_ratio=True, scale_factor=1.25, type='Resize'), dict(keep_ratio=True, scale_factor=1.5, type='Resize'), dict(keep_ratio=True, scale_factor=1.75, type='Resize'), ], [ dict(direction='horizontal', prob=0.0, type='RandomFlip'), dict(direction='horizontal', prob=1.0, type='RandomFlip'), ], [ dict(type='LoadAnnotations'), ], [ dict(type='PackSegInputs'), ], ], type='TestTimeAug'), ] val_cfg=dict( type='ValLoop') val_dataloader=dict( batch_size=1, dataset=dict( data_prefix=dict( img_path='leftImg8bit/val', seg_map_path='gtFine/val'), data_root='data/cityscapes/', pipeline=[ dict(type='LoadImageFromFile'), dict(keep_ratio=True, scale=( 2048, 1024, ), type='Resize'), dict(type='LoadAnnotations'), dict(type='PackSegInputs'), ], type='CityscapesDataset'), num_workers=4, persistent_workers=True, sampler=dict( shuffle=False, type='DefaultSampler')) val_evaluator=dict( iou_metrics=[ 'mIoU', ], type='IoUMetric') vis_backends=[ dict(type='LocalVisBackend'), ] visualizer=dict( name='visualizer', type='SegLocalVisualizer', vis_backends=[ dict(type='LocalVisBackend'), ])

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