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https://github.com/open-mmlab/mmsegmentation.git
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163277bfe0
* init commits * fix crop size * add seg_data2instance_data method * add ut and update requirement * update configs and readme * add model-indel * update optional requirements * fix results * fix lint error * update results * update results * remove mmdet from requirements/optional.txt * use try import and update README * add docstring to overwrtied method * minor change Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
10 lines
457 B
Python
10 lines
457 B
Python
_base_ = ['./mask2former_swin-b-in1k-384x384-pre_8xb2-160k_ade20k-640x640.py']
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pretrained = 'https://download.openmmlab.com/mmsegmentation/v0.5/pretrain/swin/swin_large_patch4_window12_384_22k_20220412-6580f57d.pth' # noqa
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model = dict(
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backbone=dict(
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embed_dims=192,
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num_heads=[6, 12, 24, 48],
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init_cfg=dict(type='Pretrained', checkpoint=pretrained)),
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decode_head=dict(num_queries=100, in_channels=[192, 384, 768, 1536]))
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