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https://github.com/open-mmlab/mmpretrain.git
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dbf3df21a3
* [Refactor] Use to specify ViT-like backbone output. * Fix ClsBatchNormNeck * Update mmpretrain/models/necks/mae_neck.py --------- Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com>
25 lines
612 B
Python
25 lines
612 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='BEiTViT',
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arch='eva-g',
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img_size=224,
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patch_size=14,
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layer_scale_init_value=0.0,
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out_type='avg_featmap',
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use_abs_pos_emb=True,
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use_rel_pos_bias=False,
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use_shared_rel_pos_bias=False,
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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=[0.48145466 * 255, 0.4578275 * 255, 0.40821073 * 255],
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std=[0.26862954 * 255, 0.26130258 * 255, 0.27577711 * 255],
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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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