mmpretrain/mmcls/models/backbones/__init__.py

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# Copyright (c) OpenMMLab. All rights reserved.
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from .alexnet import AlexNet
from .conformer import Conformer
from .convmixer import ConvMixer
from .convnext import ConvNeXt
from .cspnet import CSPDarkNet, CSPNet, CSPResNet, CSPResNeXt
from .deit import DistilledVisionTransformer
from .deit3 import DeiT3
from .densenet import DenseNet
from .edgenext import EdgeNeXt
from .efficientformer import EfficientFormer
from .efficientnet import EfficientNet
from .hornet import HorNet
from .hrnet import HRNet
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from .inception_v3 import InceptionV3
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from .lenet import LeNet5
from .mlp_mixer import MlpMixer
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from .mobilenet_v2 import MobileNetV2
from .mobilenet_v3 import MobileNetV3
from .mobileone import MobileOne
from .mobilevit import MobileViT
from .mvit import MViT
from .poolformer import PoolFormer
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from .regnet import RegNet
from .repmlp import RepMLPNet
[Feature] Add RepVGG backbone and checkpoints. (#414) * Add RepVGG code. * Add se_module as plugin. * Add the repvggA0 primitive config * Change repvggA0.py to fit mmcls * Add RepVGG configs * Add repvgg_to_mmcls * Add tools/deployment/convert_repvggblock_param_to_deploy.py * Change configs/repvgg/README.md * Streamlining the number of configuration files. * Fix lints * Delete plugins * Delete code about plugin. * Modify the code for using se module. * Modify config to fit repvgg with se. * Change se_cfg to allow loading of pre-training parameters. * Reduce the complexity of the configuration file. * Finsh unitest for repvgg. * Fix bug about se in repvgg_to_mmcls. * Rename convert_repvggblock_param_to_deploy.py to reparameterize_repvgg.py, and delete setting about device. * test commit * test commit * test commit command * Modify repvgg.py to make the code more readable. * Add value=0 in F.pad() * Add se_cfg to arch_settings. * Fix bug. * modeify some attr name and Update unit tests * rename stage_0 to stem and branch_identity to branch_norm * update unit tests * add m.eval in unit tests * [Enhance] Enhence SE layer to support custom squeeze channels. (#417) * add enhenced SE * Update * rm basechannel * fix docstring * Update se_layer.py fix docstring * [Docs] Add algorithm readme and update meta yml (#418) * Add README.md for models without checkpoints. * Update model-index.yml * Update metafile.yml of seresnet * [Enhance] Add `hparams` argument in `AutoAugment` and `RandAugment` and some other improvement. (#398) * Add hparams argument in `AutoAugment` and `RandAugment`. And `pad_val` supports sequence instead of tuple only. * Add unit tests for `AutoAugment` and `hparams` in `RandAugment`. * Use smaller test image to speed up uni tests. * Use hparams to simplify RandAugment config in swin-transformer. * Rename augment config name from `pipeline` to `pipelines`. * Add some commnet ad docstring. * [Feature] Support classwise weight in losses (#388) * Add classwise weight in losses:CE,BCE,softBCE * Update unit test * rm some extra code * rm some extra code * fix broadcast * fix broadcast * update unit tests * use new_tensor * fix lint * [Enhance] Better result visualization (#419) * Imporve result visualization to support wait time and change the backend to matplotlib. * Add unit test for visualization * Add adaptive dpi function * Rename `imshow_cls_result` to `imshow_infos`. * Support str in `imshow_infos` * Improve docstring. * Bump version to v0.15.0 (#426) * [CI] Add PyTorch 1.9 and Python 3.9 build workflow, and remove some CI. (#422) * Add PyTorch 1.9 build workflow, and remove some CI. * Add Python 3.9 CI * Show Python 3.9 support. * [Enhance] Rename the option `--options` in some tools to `--cfg-options`. (#425) * [Docs] Fix sphinx version (#429) * [Docs] Add `CITATION.cff` (#428) * Add CITATION.cff * Fix typo in setup.py * Change author in setup.py * modeify some attr name and Update unit tests * rename stage_0 to stem and branch_identity to branch_norm * update unit tests * add m.eval in unit tests * Update unit tests * refactor * refactor * Alignment inference accuracy * Update configs, readme and metafile * Update readme * return tuple and fix metafile * fix unit test * rm regnet and classifiers changes * update auto_aug * update metafile & readme * use delattr * rename cfgs * Update checkpoint url * Update readme * Rename config files. * Update readme and metafile * add comment * Update mmcls/models/backbones/repvgg.py Co-authored-by: Ma Zerun <mzr1996@163.com> * Update docstring * Improve docstring. * Update unittest_testblock Co-authored-by: Ezra-Yu <1105212286@qq.com> Co-authored-by: Ma Zerun <mzr1996@163.com>
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from .repvgg import RepVGG
from .res2net import Res2Net
from .resnest import ResNeSt
from .resnet import ResNet, ResNetV1c, ResNetV1d
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from .resnet_cifar import ResNet_CIFAR
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from .resnext import ResNeXt
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from .seresnet import SEResNet
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from .seresnext import SEResNeXt
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from .shufflenet_v1 import ShuffleNetV1
from .shufflenet_v2 import ShuffleNetV2
[Feature] Add swin-transformer model. (#271) * Add swin transformer archs S, B and L. * Add SwinTransformer configs * Add train config files of swin. * Align init method with original code * Use nn.Unfold to merge patch * Change all ConfigDict to dict * Add init_cfg for all subclasses of BaseModule. * Use mmcv version init function * Add Swin README * Use safer cfg copy method * Improve docstring and variable name. * Fix some difference in randaug Fix BGR bug, align scheduler config. Fix label smoothing parameter difference. * Fix missing droppath in attn * Fix bug of relative posititon table if window width is not equal to height. * Make `PatchMerging` more general, support kernel, stride, padding and dilation. * Rename `residual` to `identity` in attention and FFN. * Add `auto_pad` option to auto pad feature map * Improve docstring. * Fix bug in ShiftWMSA padding. * Remove unused `key` and `value` in ShiftWMSA * Move `PatchMerging` into utils and use common `PatchEmbed`. * Use latest `LinearClsHead`, train augments and label smooth settings. And remove original `SwinLinearClsHead`. * Mark some configs as "Evalution Only". * Remove useless comment in config * 1. Move ShiftWindowMSA and WindowMSA to `utils/attention.py` 2. Add docstrings of each module. 3. Fix some variables' names. 4. Other small improvement. * Add unit tests of swin-transformer and patchmerging. * Fix some bugs in unit tests. * Fix bug of rel_position_index if window is not square. * Make WindowMSA implicit, and add unit tests. * Add metafile.yml, update readme and model_zoo.
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from .swin_transformer import SwinTransformer
from .swin_transformer_v2 import SwinTransformerV2
from .t2t_vit import T2T_ViT
from .timm_backbone import TIMMBackbone
from .tnt import TNT
from .twins import PCPVT, SVT
from .van import VAN
from .vgg import VGG
from .vision_transformer import VisionTransformer
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__all__ = [
'LeNet5',
'AlexNet',
'VGG',
'RegNet',
'ResNet',
'ResNeXt',
'ResNetV1d',
'ResNeSt',
'ResNet_CIFAR',
'SEResNet',
'SEResNeXt',
'ShuffleNetV1',
'ShuffleNetV2',
'MobileNetV2',
'MobileNetV3',
'VisionTransformer',
'SwinTransformer',
'TNT',
'TIMMBackbone',
'T2T_ViT',
'Res2Net',
'RepVGG',
'Conformer',
'MlpMixer',
'DistilledVisionTransformer',
'PCPVT',
'SVT',
'EfficientNet',
'ConvNeXt',
'HRNet',
'ResNetV1c',
'ConvMixer',
'EdgeNeXt',
'CSPDarkNet',
'CSPResNet',
'CSPResNeXt',
'CSPNet',
'RepMLPNet',
'PoolFormer',
'DenseNet',
'VAN',
'InceptionV3',
'MobileOne',
'EfficientFormer',
'SwinTransformerV2',
'MViT',
'DeiT3',
'HorNet',
'MobileViT',
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]