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https://github.com/open-mmlab/mmclassification.git
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29f066f7fb
* [Improve] Speed up data preprocessor. * Add ClsDataSample serialization override functions. * Add unit tests * Modify configs to fit new mixup args. * Fix `num_classes` of the ImageNet-21k config. * Update docs.
23 lines
587 B
Python
23 lines
587 B
Python
_base_ = [
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'../_base_/models/resnet50.py',
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'../_base_/datasets/imagenet_bs256_rsb_a3.py',
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'../_base_/schedules/imagenet_bs2048_rsb.py',
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'../_base_/default_runtime.py'
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]
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# model settings
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model = dict(
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backbone=dict(norm_cfg=dict(type='SyncBN', requires_grad=True)),
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head=dict(loss=dict(use_sigmoid=True)),
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train_cfg=dict(augments=[
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dict(type='Mixup', alpha=0.1),
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dict(type='CutMix', alpha=1.0)
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]),
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)
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# schedule settings
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optim_wrapper = dict(
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optimizer=dict(lr=0.008),
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paramwise_cfg=dict(bias_decay_mult=0., norm_decay_mult=0.),
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)
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