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https://github.com/open-mmlab/mmsegmentation.git
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b6c7c77a08
* add Swin Transformer * add Swin Transformer * fixed import * Add some swin training settings. * Fix some filename error. * Fix attribute name: pretrain -> pretrained * Upload mmcls implementation of swin transformer. * Refactor Swin Transformer to follow mmcls style. * Refactor init_weigths of swin_transformer.py * Fix lint * Match inference precision * Add some comments * Add swin_convert to load official style ckpt * Remove arg: auto_pad * 1. Complete comments for each block; 2. Correct weight convert function; 3. Fix the pad of Patch Merging; * Clean function args. * Fix vit unit test. * 1. Add swin transformer unit tests; 2. Fix some pad bug; 3. Modify config to adapt new swin implementation; * Modify config arg * Update readme.md of swin * Fix config arg error and Add some swin benchmark msg. * Add MeM and ms test content for readme.md of swin transformer. * Fix doc string of swin module * 1. Register swin transformer to model list; 2. Modify pth url which keep meta attribute; * Update swin.py * Merge config settings. * Modify config style. * Update README.md Add ViT link * Modify main readme.md Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com> Co-authored-by: sennnnn <201730271412@mail.scut.edu.cn> Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
18 lines
549 B
Python
18 lines
549 B
Python
from .cgnet import CGNet
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from .fast_scnn import FastSCNN
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from .hrnet import HRNet
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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 .swin import SwinTransformer
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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'
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]
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