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https://github.com/open-mmlab/mmclassification.git
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4fb44f8770
* add mvit 21k * add mvit 21k * add effnet noisy student * Revert "add mvit 21k" This reverts commit f51067c559a36e10d11bdc0b4d0ccf419938a709. * revert mvit pr * update link and readme * update readme * update l2 link * update link Co-authored-by: Ezra-Yu <18586273+Ezra-Yu@users.noreply.github.com>
25 lines
734 B
Python
25 lines
734 B
Python
_base_ = [
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'../_base_/models/efficientnet_l2.py',
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'../_base_/datasets/imagenet_bs32.py',
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'../_base_/schedules/imagenet_bs256.py',
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'../_base_/default_runtime.py',
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]
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# dataset settings
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train_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='EfficientNetRandomCrop', scale=475),
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dict(type='RandomFlip', prob=0.5, direction='horizontal'),
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dict(type='PackClsInputs'),
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]
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='EfficientNetCenterCrop', crop_size=475),
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dict(type='PackClsInputs'),
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]
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train_dataloader = dict(dataset=dict(pipeline=train_pipeline))
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val_dataloader = dict(dataset=dict(pipeline=test_pipeline))
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test_dataloader = dict(dataset=dict(pipeline=test_pipeline))
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