mirror of
https://github.com/open-mmlab/mmsegmentation.git
synced 2025-06-03 22:03:48 +08:00
43b8a1d8dc
* [Fix]: Fix lint * [WIP]: Add mae seg config * [Feature]: Add MAE seg * [Fix]: Fix mae dataset img scale bug * [Fix]: Fix lint * [Feature]: Change mae config to mae_segmentation's config * [Feature]: Add interpolate pe when loading * [Fix]: Fix pos_embed not used bug * [Fix]: Fix lint * [Fix]: Init rel pos embed with zeros * [Fix]: Fix lint * [Fix]: Change the type name of backbone to MAE * [Fix]: Delete ade20k_512x512.py * [Fix]: Use mmseg provided ade20k.py * [Fix]: Change 1 sample per gpu to 2 samples per gpu * [Fix]: Fix conflict * [Refactor]: Use the TransformerEncoderLayer of BEiT * [Feature]: Add UT * [Fix]: Change the default value of qv bias to False * [Fix]: Initialize relative pos table with zeros * [Fix]: Delete redundant code in mae * [Fix]: Fix lint * [Fix]: Rename qkv_bias to qv_bias * [Fix]: Add docstring to weight_init of MAEAttention * [Refactor]: Delete qv_bias param * [Fix]: Add reference to fix_init_weight * [Fix]: Fix lint * [Fix]: Delete extra crop size * [Refactor]: Rename mae * [Fix]: Set bias to True * [Fix]: Delete redundant params * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Add resize abs pos embed * [Fix]: Fix UT * [Refactor]: Use build layer * [Fix]: Add licsense and fix docstring * [Fix]: Fix docstring * [Feature]: Add README metafile * [Fix]: Change 640 to 512 * [Fix]: Fix README * fix readme of MAE Co-authored-by: MengzhangLI <mcmong@pku.edu.cn>
31 lines
1.0 KiB
Python
31 lines
1.0 KiB
Python
# Copyright (c) OpenMMLab. All rights reserved.
|
|
from .beit import BEiT
|
|
from .bisenetv1 import BiSeNetV1
|
|
from .bisenetv2 import BiSeNetV2
|
|
from .cgnet import CGNet
|
|
from .erfnet import ERFNet
|
|
from .fast_scnn import FastSCNN
|
|
from .hrnet import HRNet
|
|
from .icnet import ICNet
|
|
from .mae import MAE
|
|
from .mit import MixVisionTransformer
|
|
from .mobilenet_v2 import MobileNetV2
|
|
from .mobilenet_v3 import MobileNetV3
|
|
from .resnest import ResNeSt
|
|
from .resnet import ResNet, ResNetV1c, ResNetV1d
|
|
from .resnext import ResNeXt
|
|
from .stdc import STDCContextPathNet, STDCNet
|
|
from .swin import SwinTransformer
|
|
from .timm_backbone import TIMMBackbone
|
|
from .twins import PCPVT, SVT
|
|
from .unet import UNet
|
|
from .vit import VisionTransformer
|
|
|
|
__all__ = [
|
|
'ResNet', 'ResNetV1c', 'ResNetV1d', 'ResNeXt', 'HRNet', 'FastSCNN',
|
|
'ResNeSt', 'MobileNetV2', 'UNet', 'CGNet', 'MobileNetV3',
|
|
'VisionTransformer', 'SwinTransformer', 'MixVisionTransformer',
|
|
'BiSeNetV1', 'BiSeNetV2', 'ICNet', 'TIMMBackbone', 'ERFNet', 'PCPVT',
|
|
'SVT', 'STDCNet', 'STDCContextPathNet', 'BEiT', 'MAE'
|
|
]
|