mirror of
https://github.com/open-mmlab/mmclassification.git
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43024cda73
* add gem pooling * add example config * fix params * add assert * add param clamp * add test assert * add clamp * fix conflict
18 lines
425 B
Python
18 lines
425 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='ResNet',
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depth=34,
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num_stages=4,
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out_indices=(3, ),
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style='pytorch'),
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neck=dict(type='GeneralizedMeanPooling'),
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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=512,
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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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