Welcome to MMClassification’s documentation!

You can switch between Chinese and English documentation in the lower-left corner of the layout.

您可以在页面左下角切换中英文文档。

Get Started

• Prerequisites
• Installation
• Getting Started

Tutorials

• Tutorial 1: Learn about Configs
• Tutorial 2: Fine-tune Models
• Tutorial 3: Customize Dataset
• Tutorial 4: Custom Data Pipelines
• Tutorial 5: Adding New Modules
• Tutorial 6: Customize Schedule
• Tutorial 7: Customize Runtime Settings

Model zoo

• Model Zoo Summary
• 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

Useful Tools and Scripts

• Pytorch to ONNX (Experimental)
• ONNX to TensorRT (Experimental)
• Pytorch to TorchScript (Experimental)
• Model Serving
• Visualization
• Analysis
• Miscellaneous

Community

• Contributing to OpenMMLab

API Reference

• mmcls.apis
• mmcls.core
• mmcls.models
• mmcls.models.utils
• mmcls.datasets
• Data Transformations
• Batch Augmentation
• mmcls.utils

Notes

• Changelog
• Compatibility of MMClassification 0.x
• Frequently Asked Questions

Language Switch

• English
• 简体中文

Indices and tables

• Index

• Search Page