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https://github.com/open-mmlab/mmpretrain.git
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89000c10eb
* update base datasets * update base * update barlowtwins * update with new convention * update * update * update * add schedule * add densecl * add eva * add mae * add maskfeat * add milan and mixmim * add moco * add swav simclr * add simmim and simsiam * refine * update * add to model index * update config inheritance * fix error in metafile * Update pre-commit and metafile check script * update metafile * fix name error * Fix classification model name and config name --------- Co-authored-by: mzr1996 <mzr1996@163.com>
13 lines
364 B
Python
13 lines
364 B
Python
_base_ = [
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'../../_base_/models/resnet50.py',
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'../../_base_/datasets/imagenet_bs32_pillow.py',
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'../../_base_/schedules/imagenet_sgd_coslr_100e.py',
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'../../_base_/default_runtime.py',
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]
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model = dict(backbone=dict(frozen_stages=4))
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# runtime settings
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default_hooks = dict(
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checkpoint=dict(type='CheckpointHook', interval=10, max_keep_ckpts=3))
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