mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 22:03:48 +08:00
5783bc1d99
* refactor stdc code * update key * fix backbone inference * remove comments * fixing errors * fixing version conflict * fux typo * use STDCHead * upload models&logs * adding model converters script and fix unittest * fix error * fix error * fix error * delete redundant keys in config * fix errors in configs and unittest * fix errors in configs and unittest * fix errors in configs and unittest * change Memory name * refactor stdc2mmseg * change name to STDC * refactor stdc * refactor stdc * stdc refactor * stdc refactor * stdc refactor * stdc refactor * stdc refactor * stdc refactor * refactor stdc * stdc refactor Co-authored-by: xiexinch <xinchen.xie@qq.com>
29 lines
1011 B
Python
29 lines
1011 B
Python
# Copyright (c) OpenMMLab. All rights reserved.
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from .bisenetv1 import BiSeNetV1
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from .bisenetv2 import BiSeNetV2
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from .cgnet import CGNet
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from .erfnet import ERFNet
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from .fast_scnn import FastSCNN
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from .hrnet import HRNet
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from .icnet import ICNet
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from .mit import MixVisionTransformer
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from .mobilenet_v2 import MobileNetV2
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from .mobilenet_v3 import MobileNetV3
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from .resnest import ResNeSt
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from .resnet import ResNet, ResNetV1c, ResNetV1d
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from .resnext import ResNeXt
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from .stdc import STDCContextPathNet, STDCNet
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from .swin import SwinTransformer
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from .timm_backbone import TIMMBackbone
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from .twins import PCPVT, SVT
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from .unet import UNet
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from .vit import VisionTransformer
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__all__ = [
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'ResNet', 'ResNetV1c', 'ResNetV1d', 'ResNeXt', 'HRNet', 'FastSCNN',
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'ResNeSt', 'MobileNetV2', 'UNet', 'CGNet', 'MobileNetV3',
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'VisionTransformer', 'SwinTransformer', 'MixVisionTransformer',
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'BiSeNetV1', 'BiSeNetV2', 'ICNet', 'TIMMBackbone', 'ERFNet', 'PCPVT',
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'SVT', 'STDCNet', 'STDCContextPathNet'
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]
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