备注
您正在阅读 MMClassification 0.x 版本的文档。MMClassification 0.x 会在 2022 年末被切换为次要分支。建议您升级到 MMClassification 1.0 版本，体验更多新特性和新功能。请查阅 MMClassification 1.0 的安装教程、迁移教程以及更新日志。
欢迎来到 MMClassification 中文教程！¶
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教程
模型库
- 模型库统计
- Model Zoo
- Conformer
- ConvMixer
- ConvNeXt
- CSPNet
- CSRA
- DeiT
- DenseNet
- EfficientFormer
- EfficientNet
- HorNet
- HRNet
- Mlp-Mixer
- MobileNet V2
- MobileNet V3
- MViT V2
- PoolFormer
- RegNet
- RepMLP
- RepVGG
- Res2Net
- ResNet
- ResNeXt
- SE-ResNet
- ShuffleNet V1
- ShuffleNet V2
- Swin Transformer
- Swin Transformer V2
- Tokens-to-Token ViT
- TNT
- Twins
- Visual Attention Network
- VGG
- Vision Transformer
- Wide-ResNet
实用工具
API 参考文档
- mmcls.apis
- mmcls.core
- mmcls.models
- mmcls.models.build_classifier
- mmcls.models.build_backbone
- mmcls.models.build_neck
- mmcls.models.build_head
- mmcls.models.build_loss
- Classifier
- Backbones
- mmcls.models.AlexNet
- mmcls.models.CSPDarkNet
- mmcls.models.CSPNet
- mmcls.models.CSPResNeXt
- mmcls.models.CSPResNet
- mmcls.models.Conformer
- mmcls.models.ConvMixer
- mmcls.models.ConvNeXt
- mmcls.models.DenseNet
- mmcls.models.DistilledVisionTransformer
- mmcls.models.EfficientNet
- mmcls.models.HRNet
- mmcls.models.LeNet5
- mmcls.models.MlpMixer
- mmcls.models.MobileNetV2
- mmcls.models.MobileNetV3
- mmcls.models.PCPVT
- mmcls.models.PoolFormer
- mmcls.models.RegNet
- mmcls.models.RepMLPNet
- mmcls.models.RepVGG
- mmcls.models.Res2Net
- mmcls.models.ResNeSt
- mmcls.models.ResNeXt
- mmcls.models.ResNet
- mmcls.models.ResNetV1c
- mmcls.models.ResNetV1d
- mmcls.models.ResNet_CIFAR
- mmcls.models.SEResNeXt
- mmcls.models.SEResNet
- mmcls.models.SVT
- mmcls.models.ShuffleNetV1
- mmcls.models.ShuffleNetV2
- mmcls.models.SwinTransformer
- mmcls.models.T2T_ViT
- mmcls.models.TIMMBackbone
- mmcls.models.TNT
- mmcls.models.VAN
- mmcls.models.VGG
- mmcls.models.VisionTransformer
- mmcls.models.EfficientFormer
- mmcls.models.HorNet
- Necks
- Heads
- Losses
- mmcls.models.utils
- mmcls.datasets
- 数据转换
- Loading
- Preprocessing and Augmentation
- CenterCrop
- Lighting
- Normalize
- Pad
- Resize
- RandomCrop
- RandomErasing
- RandomFlip
- RandomGrayscale
- RandomResizedCrop
- ColorJitter
- Composed Augmentation
- mmcls.datasets.pipelines.AutoContrast
- mmcls.datasets.pipelines.Brightness
- mmcls.datasets.pipelines.ColorTransform
- mmcls.datasets.pipelines.Contrast
- mmcls.datasets.pipelines.Cutout
- mmcls.datasets.pipelines.Equalize
- mmcls.datasets.pipelines.Invert
- mmcls.datasets.pipelines.Posterize
- mmcls.datasets.pipelines.Rotate
- mmcls.datasets.pipelines.Sharpness
- mmcls.datasets.pipelines.Shear
- mmcls.datasets.pipelines.Solarize
- mmcls.datasets.pipelines.SolarizeAdd
- mmcls.datasets.pipelines.Translate
- Formatting
- 批数据增强
- mmcls.utils
其他说明
设备支持