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* [CI] Add test mim CI. (#879) * [CI] Add test mim CI. (#879) * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * update * update ci * rebase * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * update * update readme and configs * update readme and configs * refactore eva02 * [CI] Add test mim CI. (#879) * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * update * update ci * rebase * feat: add eva02 backbone * feat: add eva02 backbone * feat: add eva02 backbone * update * update readme and configs * refactore eva02 * update readme and metafile * update readme and metafile * update readme and metafile * update * rename eva02 * rename eva02 * fix uts * rename configs --------- Co-authored-by: Ma Zerun <mzr1996@163.com> Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
21 lines
492 B
Python
21 lines
492 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='ViTEVA02',
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arch='s',
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img_size=224,
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patch_size=14,
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final_norm=False,
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out_type='avg_featmap'),
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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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