25 lines
502 B
Python
25 lines
502 B
Python
# model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='ViTSAM',
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arch='base',
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img_size=1024,
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patch_size=16,
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out_channels=256,
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use_abs_pos=True,
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use_rel_pos=True,
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window_size=14,
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),
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neck=None,
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head=None,
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)
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data_preprocessor = dict(
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# RGB format normalization parameters
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mean=[123.675, 116.28, 103.53],
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std=[58.395, 57.12, 57.375],
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# convert image from BGR to RGB
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to_rgb=True,
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)
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