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a3a144a361
* rename ann configs * update ann yml * update * update * update * update * update * update ann readme * update * update deeplabv3 * update readme * fix yml * fix beit
17 lines
686 B
Python
17 lines
686 B
Python
_base_ = './mae-base_upernet_8xb2-amp-160k_ade20k-512x512.py'
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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# TODO: Refactor 'MultiScaleFlipAug' which supports
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# `min_size` feature in `Resize` class
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# img_ratios is [0.5, 0.75, 1.0, 1.25, 1.5, 1.75]
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# original image scale is (2048, 512)
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dict(type='Resize', scale=(2048, 512), keep_ratio=True),
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# add loading annotation after ``Resize`` because ground truth
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# does not need to do resize data transform
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dict(type='LoadAnnotations', reduce_zero_label=True),
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dict(type='PackSegInputs')
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]
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val_dataloader = dict(batch_size=1, dataset=dict(pipeline=test_pipeline))
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test_dataloader = val_dataloader
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