mirror of
https://github.com/open-mmlab/mmpretrain.git
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bc1b08ba41
* add vgg * add vgg model coversion tool * fix out_indices and docstr * add vgg models in configs * add params, flops and accuracy in docs * add pretrained models url * use ConvModule and refine var names * update vgg conversion tool * modify bn config * add docs for arch_setting * add unit test for vgg * rm debug code * update vgg pretrained models
12 lines
296 B
Python
12 lines
296 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='VGG', depth=19, norm_cfg=dict(type='BN'), num_classes=1000),
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neck=None,
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head=dict(
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type='ClsHead',
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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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