Note

You are reading the documentation for MMClassification 0.x, which will soon be deprecated at the end of 2022. We recommend you upgrade to MMClassification 1.0 to enjoy fruitful new features and better performance brought by OpenMMLab 2.0. Check the installation tutorial, migration tutorial and changelog for more details.

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

Device Support

• NPU (HUAWEI Ascend)

Language Switch

• English
• 简体中文

Indices and tables

• Index

• Search Page