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https://github.com/open-mmlab/mmpretrain.git
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5de480ea9e
* Support HRNet * Add HRNet configs * Fix a bug in backward * Add configs and update docs. * Not use bias in conv before batch norm * Defaults to use `norm_eval=False` * Add unit tests and support out_channels in HRFuseScales * Update checkpoint path * Update docstring. * Remove incorrect files * Improve according to comments
16 lines
418 B
Python
16 lines
418 B
Python
# model settings
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model = dict(
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type='ImageClassifier',
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backbone=dict(type='HRNet', arch='w30'),
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neck=[
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dict(type='HRFuseScales', in_channels=(30, 60, 120, 240)),
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dict(type='GlobalAveragePooling'),
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],
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head=dict(
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type='LinearClsHead',
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in_channels=2048,
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num_classes=1000,
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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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