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https://github.com/open-mmlab/mmclassification.git
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a05c79e806
* [Refactor] Move transforms in mmselfsup to mmpretrain. * Update transform docs and configs. And register some mmcv transforms in mmpretrain. * Fix missing transform wrapper. * update selfsup transforms * Fix UT * Fix UT * update gaussianblur inconfigs --------- Co-authored-by: fangyixiao18 <fangyx18@hotmail.com>
31 lines
730 B
Python
31 lines
730 B
Python
_base_ = [
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'../_base_/models/mobilevit/mobilevit_xxs.py',
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'../_base_/datasets/imagenet_bs32.py',
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'../_base_/default_runtime.py',
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'../_base_/schedules/imagenet_bs256.py',
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]
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# no normalize for original implements
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data_preprocessor = dict(
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# RGB format normalization parameters
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mean=[0, 0, 0],
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std=[255, 255, 255],
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# use bgr directly
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to_rgb=False,
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)
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(type='ResizeEdge', scale=288, edge='short'),
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dict(type='CenterCrop', crop_size=256),
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dict(type='PackInputs'),
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]
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train_dataloader = dict(batch_size=128)
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val_dataloader = dict(
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batch_size=128,
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dataset=dict(pipeline=test_pipeline),
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)
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test_dataloader = val_dataloader
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