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https://github.com/open-mmlab/mmclassification.git
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2535c1ecd7
* add eva * add eva * add eva * sklearn -> scikit-learn * add large * Update model names and links. * Fix resize pos embed error when loading fp16 weight. * Remove verbose configs. Co-authored-by: mzr1996 <mzr1996@163.com>
26 lines
633 B
Python
26 lines
633 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='BEiT',
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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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avg_token=True,
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layer_scale_init_value=0.0,
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output_cls_token=False,
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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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