Index A | B | C | D | E | F | G | H | I | K | L | M | N | P | Q | R | S | T | V | W A Accuracy (class in mmcls.evaluation) adjust_width_group() (mmcls.models.backbones.RegNet method) after_load_checkpoint() (mmcls.engine.hooks.EMAHook method) after_test_epoch() (mmcls.engine.hooks.EMAHook method) after_test_iter() (mmcls.engine.hooks.VisualizationHook method) after_train_epoch() (mmcls.engine.hooks.PreciseBNHook method) after_train_iter() (mmcls.engine.hooks.PreciseBNHook method) after_val_epoch() (mmcls.engine.hooks.EMAHook method) after_val_iter() (mmcls.engine.hooks.VisualizationHook method) albu_builder() (mmcls.datasets.transforms.Albumentations method) Albumentations (class in mmcls.datasets.transforms) AlexNet (class in mmcls.models.backbones) ArcFaceClsHead (class in mmcls.models.heads) AsymmetricLoss (class in mmcls.models.losses) AutoAugment (class in mmcls.datasets.transforms) AutoContrast (class in mmcls.datasets.transforms) AveragePrecision (class in mmcls.evaluation) B BaseAugTransform (class in mmcls.datasets.transforms) BaseClassifier (class in mmcls.models.classifiers) BaseDataset (class in mmcls.datasets) before_test() (mmcls.engine.hooks.ClassNumCheckHook method) before_test_epoch() (mmcls.engine.hooks.EMAHook method) before_train() (mmcls.engine.hooks.ClassNumCheckHook method) (mmcls.engine.hooks.SetAdaptiveMarginsHook method) before_val() (mmcls.engine.hooks.ClassNumCheckHook method) before_val_epoch() (mmcls.engine.hooks.EMAHook method) BEiT (class in mmcls.models.backbones) Brightness (class in mmcls.datasets.transforms) build_backbone() (in module mmcls.models) build_classifier() (in module mmcls.models) build_head() (in module mmcls.models) build_loss() (in module mmcls.models) build_neck() (in module mmcls.models) C calculate() (mmcls.evaluation.Accuracy static method) (mmcls.evaluation.AveragePrecision static method) (mmcls.evaluation.MultiLabelMetric static method) (mmcls.evaluation.SingleLabelMetric static method) channel_shuffle() (in module mmcls.models.utils) CIFAR10 (class in mmcls.datasets) CIFAR100 (class in mmcls.datasets) ClassNumCheckHook (class in mmcls.engine.hooks) ClsDataPreprocessor (class in mmcls.models.utils.data_preprocessor) ClsDataSample (class in mmcls.structures) ClsHead (class in mmcls.models.heads) ClsVisualizer (class in mmcls.visualization) Collect (class in mmcls.datasets.transforms) collect_env() (in module mmcls.utils) ColorJitter (class in mmcls.datasets.transforms) ColorTransform (class in mmcls.datasets.transforms) compute_metrics() (mmcls.evaluation.Accuracy method) (mmcls.evaluation.AveragePrecision method) (mmcls.evaluation.MultiLabelMetric method) (mmcls.evaluation.SingleLabelMetric method) ConditionalPositionEncoding (class in mmcls.models.utils) Conformer (class in mmcls.models.backbones) ConformerHead (class in mmcls.models.heads) Contrast (class in mmcls.datasets.transforms) ConvMixer (class in mmcls.models.backbones) ConvNeXt (class in mmcls.models.backbones) CrossEntropyLoss (class in mmcls.models.losses) CSPDarkNet (class in mmcls.models.backbones) CSPNet (class in mmcls.models.backbones) CSPResNet (class in mmcls.models.backbones) CSPResNeXt (class in mmcls.models.backbones) CSRAClsHead (class in mmcls.models.heads) CUB (class in mmcls.datasets) CustomDataset (class in mmcls.datasets) CutMix (class in mmcls.models.utils.batch_augments) cutmix_bbox_and_lam() (mmcls.models.utils.batch_augments.CutMix method) Cutout (class in mmcls.datasets.transforms) D data_preprocessor (mmcls.models.classifiers.BaseClassifier attribute) DaViT (class in mmcls.models.backbones) DeiT3 (class in mmcls.models.backbones) DeiTClsHead (class in mmcls.models.heads) DenseNet (class in mmcls.models.backbones) DistilledVisionTransformer (class in mmcls.models.backbones) E EdgeNeXt (class in mmcls.models.backbones) EfficientFormer (class in mmcls.models.backbones) EfficientFormerClsHead (class in mmcls.models.heads) EfficientNet (class in mmcls.models.backbones) EfficientNetCenterCrop (class in mmcls.datasets.transforms) EfficientNetRandomCrop (class in mmcls.datasets.transforms) EfficientNetV2 (class in mmcls.models.backbones) EMAHook (class in mmcls.engine.hooks) Equalize (class in mmcls.datasets.transforms) extra_repr() (mmcls.datasets.transforms.BaseAugTransform method) extract_feat() (mmcls.models.classifiers.BaseClassifier method) (mmcls.models.classifiers.ImageClassifier method) extract_feats() (mmcls.models.classifiers.BaseClassifier method) F FashionMNIST (class in mmcls.datasets) fc (mmcls.models.heads.StackedLinearClsHead property) FocalLoss (class in mmcls.models.losses) forward() (mmcls.models.backbones.HRNet method) (mmcls.models.backbones.InceptionV3 method) (mmcls.models.backbones.MViT method) (mmcls.models.classifiers.BaseClassifier method) (mmcls.models.classifiers.ImageClassifier method) (mmcls.models.heads.ArcFaceClsHead method) (mmcls.models.heads.ClsHead method) (mmcls.models.heads.ConformerHead method) (mmcls.models.heads.CSRAClsHead method) (mmcls.models.heads.DeiTClsHead method) (mmcls.models.heads.EfficientFormerClsHead method) (mmcls.models.heads.LinearClsHead method) (mmcls.models.heads.MultiLabelClsHead method) (mmcls.models.heads.MultiLabelLinearClsHead method) (mmcls.models.heads.StackedLinearClsHead method) (mmcls.models.heads.VisionTransformerClsHead method) (mmcls.models.losses.AsymmetricLoss method) (mmcls.models.losses.FocalLoss method) (mmcls.models.losses.LabelSmoothLoss method) (mmcls.models.losses.SeesawLoss method) (mmcls.models.utils.data_preprocessor.ClsDataPreprocessor method) (mmcls.models.utils.InvertedResidual method) (mmcls.models.utils.PatchMerging method) (mmcls.models.utils.WindowMSA method) (mmcls.models.utils.WindowMSAV2 method) G GeneralizedMeanPooling (class in mmcls.models.necks) generate_one_hot_like_label() (mmcls.models.losses.LabelSmoothLoss method) generate_regnet() (mmcls.models.backbones.RegNet method) get_model() (in module mmcls.apis) get_stages_from_blocks() (mmcls.models.backbones.RegNet method) GlobalAveragePooling (class in mmcls.models.necks) H HorNet (class in mmcls.models.backbones) HRFuseScales (class in mmcls.models.necks) HRNet (class in mmcls.models.backbones) HuggingFaceClassifier (class in mmcls.models.classifiers) HybridEmbed (class in mmcls.models.utils) I ImageClassifier (class in mmcls.models.classifiers) ImageNet (class in mmcls.datasets) ImageNet21k (class in mmcls.datasets) InceptionV3 (class in mmcls.models.backbones) inference_model() (in module mmcls.apis) init_cfg (mmcls.models.classifiers.BaseClassifier attribute) init_model() (in module mmcls.apis) init_weights() (mmcls.models.heads.VisionTransformerClsHead method) Invert (class in mmcls.datasets.transforms) InvertedResidual (class in mmcls.models.utils) is_tracing() (in module mmcls.models.utils) K KFoldDataset (class in mmcls.datasets) L LabelSmoothLoss (class in mmcls.models.losses) Lamb (class in mmcls.engine.optimizers) LayerScale (class in mmcls.models.utils) LeNet5 (class in mmcls.models.backbones) Lighting (class in mmcls.datasets.transforms) LinearClsHead (class in mmcls.models.heads) list_models() (in module mmcls.apis) loss() (mmcls.models.classifiers.HuggingFaceClassifier method) (mmcls.models.classifiers.ImageClassifier method) (mmcls.models.classifiers.TimmClassifier method) (mmcls.models.heads.ArcFaceClsHead method) (mmcls.models.heads.ClsHead method) (mmcls.models.heads.EfficientFormerClsHead method) (mmcls.models.heads.MultiLabelClsHead method) M make_divisible() (in module mmcls.models.utils) make_layer() (mmcls.models.backbones.MobileNetV2 method) (mmcls.models.backbones.ShuffleNetV1 method) make_mobilenetv2_layer() (mmcls.models.backbones.MobileViT static method) make_mobilevit_layer() (mmcls.models.backbones.MobileViT static method) mapper() (mmcls.datasets.transforms.Albumentations static method) mix() (mmcls.models.utils.batch_augments.CutMix method) (mmcls.models.utils.batch_augments.Mixup method) (mmcls.models.utils.batch_augments.ResizeMix method) Mixup (class in mmcls.models.utils.batch_augments) MlpMixer (class in mmcls.models.backbones) mmcls.apis module mmcls.datasets module mmcls.datasets.transforms module mmcls.engine module mmcls.engine.hooks module mmcls.engine.optimizers module mmcls.evaluation module mmcls.models module mmcls.models.backbones module mmcls.models.classifiers module mmcls.models.heads module mmcls.models.losses module mmcls.models.necks module mmcls.models.utils module mmcls.models.utils.batch_augments module mmcls.models.utils.data_preprocessor module mmcls.structures module mmcls.utils module mmcls.visualization module MNIST (class in mmcls.datasets) MobileNetV2 (class in mmcls.models.backbones) MobileNetV3 (class in mmcls.models.backbones) MobileOne (class in mmcls.models.backbones) MobileViT (class in mmcls.models.backbones) module mmcls.apis mmcls.datasets mmcls.datasets.transforms mmcls.engine mmcls.engine.hooks mmcls.engine.optimizers mmcls.evaluation mmcls.models mmcls.models.backbones mmcls.models.classifiers mmcls.models.heads mmcls.models.losses mmcls.models.necks mmcls.models.utils mmcls.models.utils.batch_augments mmcls.models.utils.data_preprocessor mmcls.structures mmcls.utils mmcls.visualization MultiheadAttention (class in mmcls.models.utils) MultiLabelClsHead (class in mmcls.models.heads) MultiLabelDataset (class in mmcls.datasets) MultiLabelLinearClsHead (class in mmcls.models.heads) MultiLabelMetric (class in mmcls.evaluation) MViT (class in mmcls.models.backbones) N norm1 (mmcls.models.backbones.HRNet property) norm2 (mmcls.models.backbones.HRNet property) P PackClsInputs (class in mmcls.datasets.transforms) PatchEmbed (class in mmcls.models.utils) PatchMerging (class in mmcls.models.utils) PCPVT (class in mmcls.models.backbones) PoolFormer (class in mmcls.models.backbones) Posterize (class in mmcls.datasets.transforms) pre_logits() (mmcls.models.heads.ArcFaceClsHead method) (mmcls.models.heads.ClsHead method) (mmcls.models.heads.ConformerHead method) (mmcls.models.heads.CSRAClsHead method) (mmcls.models.heads.DeiTClsHead method) (mmcls.models.heads.EfficientFormerClsHead method) (mmcls.models.heads.LinearClsHead method) (mmcls.models.heads.MultiLabelClsHead method) (mmcls.models.heads.MultiLabelLinearClsHead method) (mmcls.models.heads.StackedLinearClsHead method) (mmcls.models.heads.VisionTransformerClsHead method) PreciseBNHook (class in mmcls.engine.hooks) predict() (mmcls.models.classifiers.HuggingFaceClassifier method) (mmcls.models.classifiers.ImageClassifier method) (mmcls.models.classifiers.TimmClassifier method) (mmcls.models.heads.ClsHead method) (mmcls.models.heads.ConformerHead method) (mmcls.models.heads.MultiLabelClsHead method) PrepareProtoBeforeValLoopHook (class in mmcls.engine.hooks) process() (mmcls.evaluation.Accuracy method) (mmcls.evaluation.AveragePrecision method) (mmcls.evaluation.MultiLabelMetric method) (mmcls.evaluation.SingleLabelMetric method) Q quantize_float() (mmcls.models.backbones.RegNet static method) R rand_bbox() (mmcls.models.utils.batch_augments.CutMix method) rand_bbox_minmax() (mmcls.models.utils.batch_augments.CutMix method) RandAugment (class in mmcls.datasets.transforms) RandomCrop (class in mmcls.datasets.transforms) RandomErasing (class in mmcls.datasets.transforms) RandomResizedCrop (class in mmcls.datasets.transforms) register_all_modules() (in module mmcls.utils) RegNet (class in mmcls.models.backbones) RepLKNet (class in mmcls.models.backbones) RepMLPNet (class in mmcls.models.backbones) RepVGG (class in mmcls.models.backbones) Res2Net (class in mmcls.models.backbones) resize_pos_embed() (in module mmcls.models.utils) (mmcls.models.backbones.RevVisionTransformer static method) (mmcls.models.backbones.VisionTransformer static method) resize_relative_position_bias_table() (in module mmcls.models.utils) ResizeEdge (class in mmcls.datasets.transforms) ResizeMix (class in mmcls.models.utils.batch_augments) ResNeSt (class in mmcls.models.backbones) ResNet (class in mmcls.models.backbones) ResNet_CIFAR (class in mmcls.models.backbones) ResNetV1c (class in mmcls.models.backbones) ResNetV1d (class in mmcls.models.backbones) ResNeXt (class in mmcls.models.backbones) RevVisionTransformer (class in mmcls.models.backbones) Rotate (class in mmcls.datasets.transforms) S SeesawLoss (class in mmcls.models.losses) SELayer (class in mmcls.models.utils) SEResNet (class in mmcls.models.backbones) SEResNeXt (class in mmcls.models.backbones) set_margins() (mmcls.models.heads.ArcFaceClsHead method) SetAdaptiveMarginsHook (class in mmcls.engine.hooks) Sharpness (class in mmcls.datasets.transforms) Shear (class in mmcls.datasets.transforms) ShiftWindowMSA (class in mmcls.models.utils) ShuffleNetV1 (class in mmcls.models.backbones) ShuffleNetV2 (class in mmcls.models.backbones) SingleLabelMetric (class in mmcls.evaluation) Solarize (class in mmcls.datasets.transforms) SolarizeAdd (class in mmcls.datasets.transforms) StackedLinearClsHead (class in mmcls.models.heads) step() (mmcls.engine.optimizers.Lamb method) SVT (class in mmcls.models.backbones) SwinTransformer (class in mmcls.models.backbones) SwinTransformerV2 (class in mmcls.models.backbones) switch_to_deploy() (mmcls.models.backbones.MobileOne method) T T2T_ViT (class in mmcls.models.backbones) TIMMBackbone (class in mmcls.models.backbones) TimmClassifier (class in mmcls.models.classifiers) TNT (class in mmcls.models.backbones) to_ntuple() (in module mmcls.models.utils) ToNumpy (class in mmcls.datasets.transforms) ToPIL (class in mmcls.datasets.transforms) train() (mmcls.models.backbones.HRNet method) (mmcls.models.backbones.MobileOne method) transform() (mmcls.datasets.transforms.Albumentations method) (mmcls.datasets.transforms.AutoContrast method) (mmcls.datasets.transforms.Brightness method) (mmcls.datasets.transforms.ColorJitter method) (mmcls.datasets.transforms.ColorTransform method) (mmcls.datasets.transforms.Contrast method) (mmcls.datasets.transforms.Cutout method) (mmcls.datasets.transforms.EfficientNetCenterCrop method) (mmcls.datasets.transforms.Equalize method) (mmcls.datasets.transforms.Invert method) (mmcls.datasets.transforms.Lighting method) (mmcls.datasets.transforms.PackClsInputs method) (mmcls.datasets.transforms.Posterize method) (mmcls.datasets.transforms.RandAugment method) (mmcls.datasets.transforms.RandomCrop method) (mmcls.datasets.transforms.RandomErasing method) (mmcls.datasets.transforms.RandomResizedCrop method) (mmcls.datasets.transforms.ResizeEdge method) (mmcls.datasets.transforms.Rotate method) (mmcls.datasets.transforms.Sharpness method) (mmcls.datasets.transforms.Shear method) (mmcls.datasets.transforms.Solarize method) (mmcls.datasets.transforms.SolarizeAdd method) (mmcls.datasets.transforms.ToNumpy method) (mmcls.datasets.transforms.ToPIL method) (mmcls.datasets.transforms.Translate method) (mmcls.datasets.transforms.Transpose method) Translate (class in mmcls.datasets.transforms) Transpose (class in mmcls.datasets.transforms) V VAN (class in mmcls.models.backbones) VGG (class in mmcls.models.backbones) VisionTransformer (class in mmcls.models.backbones) VisionTransformerClsHead (class in mmcls.models.heads) VisualizationHook (class in mmcls.engine.hooks) VOC (class in mmcls.datasets) VOCAveragePrecision (class in mmcls.evaluation) VOCMultiLabelMetric (class in mmcls.evaluation) W WindowMSA (class in mmcls.models.utils) WindowMSAV2 (class in mmcls.models.utils) with_head (mmcls.models.classifiers.BaseClassifier property) with_neck (mmcls.models.classifiers.BaseClassifier property)