.. role:: hidden :class: hidden-section .. module:: mmcls.models mmcls.models =================================== The ``models`` package contains several sub-packages for addressing the different components of a model. - :mod:`~mmcls.models.classifiers`: The top-level module which defines the whole process of a classification model. - :mod:`~mmcls.models.backbones`: Usually a feature extraction network, e.g., ResNet, MobileNet. - :mod:`~mmcls.models.necks`: The component between backbones and heads, e.g., GlobalAveragePooling. - :mod:`~mmcls.models.heads`: The component for specific tasks. In MMClassification, we provides heads for classification. - :mod:`~mmcls.models.losses`: Loss functions. - :mod:`~mmcls.models.utils`: Some helper functions and common components used in various networks. - :mod:`~mmcls.models.utils.data_preprocessor`: The component before model to preprocess the inputs, e.g., ClsDataPreprocessor. - :ref:`components`: Common components used in various networks. - :ref:`helpers`: Helper functions. Build Functions --------------- .. autosummary:: :toctree: generated :nosignatures: build_classifier build_backbone build_neck build_head build_loss .. module:: mmcls.models.classifiers Classifiers ------------------ .. autosummary:: :toctree: generated :nosignatures: :template: classtemplate.rst BaseClassifier ImageClassifier .. module:: mmcls.models.backbones Backbones ------------------ .. autosummary:: :toctree: generated :nosignatures: :template: classtemplate.rst AlexNet CSPDarkNet CSPNet CSPResNeXt CSPResNet Conformer ConvMixer ConvNeXt DenseNet DistilledVisionTransformer EfficientNet HRNet LeNet5 MlpMixer MobileNetV2 MobileNetV3 PCPVT PoolFormer RegNet RepMLPNet RepVGG Res2Net ResNeSt ResNeXt ResNet ResNetV1c ResNetV1d ResNet_CIFAR SEResNeXt SEResNet SVT ShuffleNetV1 ShuffleNetV2 SwinTransformer T2T_ViT TIMMBackbone TNT VAN VGG VisionTransformer MobileOne InceptionV3 .. module:: mmcls.models.necks Necks ------------------ .. autosummary:: :toctree: generated :nosignatures: :template: classtemplate.rst GlobalAveragePooling GeneralizedMeanPooling HRFuseScales .. module:: mmcls.models.heads Heads ------------------ .. autosummary:: :toctree: generated :nosignatures: :template: classtemplate.rst ClsHead LinearClsHead StackedLinearClsHead VisionTransformerClsHead DeiTClsHead ConformerHead MultiLabelClsHead MultiLabelLinearClsHead .. module:: mmcls.models.losses Losses ------------------ .. autosummary:: :toctree: generated :nosignatures: :template: classtemplate.rst CrossEntropyLoss LabelSmoothLoss FocalLoss AsymmetricLoss SeesawLoss .. module:: mmcls.models.utils models.utils ------------ This package includes some helper functions and common components used in various networks. .. _components: Common Components ^^^^^^^^^^^^^^^^^ .. autosummary:: :toctree: generated :nosignatures: :template: classtemplate.rst InvertedResidual SELayer ShiftWindowMSA MultiheadAttention ConditionalPositionEncoding PatchEmbed PatchMerging HybridEmbed .. _helpers: Helper Functions ^^^^^^^^^^^^^^^^ .. autosummary:: :toctree: generated :nosignatures: channel_shuffle make_divisible resize_pos_embed resize_relative_position_bias_table to_ntuple is_tracing