25 lines
763 B
Python
25 lines
763 B
Python
_base_ = './upernet_beit-base_8x2_640x640_160k_ade20k.py'
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img_norm_cfg = dict(
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mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(
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type='MultiScaleFlipAug',
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img_scale=(2560, 640),
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img_ratios=[0.5, 0.75, 1.0, 1.25, 1.5, 1.75],
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flip=True,
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transforms=[
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dict(type='Resize', keep_ratio=True, min_size=640),
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dict(type='RandomFlip'),
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dict(type='Normalize', **img_norm_cfg),
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dict(type='ImageToTensor', keys=['img']),
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dict(type='Collect', keys=['img']),
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])
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]
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data = dict(
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val=dict(pipeline=test_pipeline),
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test=dict(pipeline=test_pipeline),
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samples_per_gpu=2)
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