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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>
29 lines
691 B
Python
29 lines
691 B
Python
_base_ = [
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'../_base_/datasets/imagenet_bs32_pil_bicubic.py',
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'../_base_/schedules/imagenet_bs1024_adamw_swin.py',
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'../_base_/default_runtime.py',
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'../_base_/models/tinyvit/tinyvit-21m.py',
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]
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# model settings
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model = dict(
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backbone=dict(
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img_size=(512, 512),
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window_size=[16, 16, 32, 16],
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drop_path_rate=0.1,
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))
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# data settings
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test_pipeline = [
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dict(type='LoadImageFromFile'),
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dict(
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type='Resize',
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scale=(512, 512),
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backend='pillow',
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interpolation='bicubic'),
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dict(type='PackInputs'),
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]
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val_dataloader = dict(batch_size=16, dataset=dict(pipeline=test_pipeline))
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test_dataloader = val_dataloader
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