mirror of
https://github.com/open-mmlab/mmpretrain.git
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77a3834531
* Add Res2Net from mmdet, and change it to mmcls style. * Align structure with official repo * Support `deep_stem` and `avg_down` option * Add Res2Net configs * Add metafile&README and update model zoo * Add unit tests * Imporve docstring. * Improve according to comments.
19 lines
430 B
Python
19 lines
430 B
Python
model = dict(
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type='ImageClassifier',
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backbone=dict(
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type='Res2Net',
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depth=50,
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scales=2,
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base_width=48,
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deep_stem=False,
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avg_down=False,
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),
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neck=dict(type='GlobalAveragePooling'),
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head=dict(
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type='LinearClsHead',
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num_classes=1000,
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in_channels=2048,
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loss=dict(type='CrossEntropyLoss', loss_weight=1.0),
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topk=(1, 5),
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))
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