42 lines
1004 B
Python
42 lines
1004 B
Python
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# data settings
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data_preprocessor = dict(
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type='MultiModalDataPreprocessor',
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mean=[122.770938, 116.7460125, 104.09373615],
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std=[68.5005327, 66.6321579, 70.32316305],
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to_rgb=True,
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)
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(
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type='Resize',
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scale=(384, 384),
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interpolation='bicubic',
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backend='pillow'),
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dict(type='PackInputs', meta_keys=['image_id']),
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]
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val_dataloader = dict(
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batch_size=16,
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num_workers=5,
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dataset=dict(
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type='NoCaps',
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data_root='data/nocaps/',
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data_prefix=dict(img_path='images/'),
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ann_file='annotations/nocaps_val_4500_captions.json',
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pipeline=test_pipeline,
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),
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sampler=dict(type='DefaultSampler', shuffle=False),
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persistent_workers=True,
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)
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val_evaluator = dict(
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type='NocapsSave',
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save_dir='./',
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)
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# # If you want standard test, please manually configure the test dataset
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test_dataloader = val_dataloader
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test_evaluator = val_evaluator
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