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https://github.com/open-mmlab/mmpretrain.git
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8d3acce307
* Add ResNeSt * fixed test * refactor * add ResNeSt base * update modelzoo * update modelzoo * Add S-200,S269 _base_
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='ResNeSt',
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depth=50,
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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='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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