Welcome to MMDetection3D’s documentation!

Get Started

• Prerequisites
• Installation

Demo

• Demo

Model Zoo

• Model Zoo

Data Preparation

• Dataset Preparation

Exist Data and Model

• 1: Inference and train with existing models and standard datasets

New Data and Model

• 2: Train with customized datasets

Supported Tasks

• LiDAR-Based 3D Detection
• Vision-Based 3D Detection
• LiDAR-Based 3D Semantic Segmentation

Datasets

• KITTI Dataset for 3D Object Detection
• NuScenes Dataset for 3D Object Detection
• Lyft Dataset for 3D Object Detection
• Waymo Dataset
• SUN RGB-D for 3D Object Detection
• ScanNet for 3D Object Detection
• ScanNet for 3D Semantic Segmentation
• S3DIS for 3D Semantic Segmentation

Tutorials

• Tutorial 1: Learn about Configs
• Tutorial 2: Customize Datasets
• Tutorial 3: Customize Data Pipelines
• Tutorial 4: Customize Models
• Tutorial 5: Customize Runtime Settings
• Tutorial 6: Coordinate System
• Tutorial 7: Backends Support
• Tutorial 8: MMDetection3D model deployment
• Tutorial 9: Use Pure Point Cloud Dataset

Useful Tools and Scripts

• Log Analysis
• Visualization
• Model Serving
• Model Complexity
• Model Conversion
• Dataset Conversion
• Miscellaneous

Notes

• Benchmarks

FAQ

• FAQ

Compatibility

• v1.0.0rc4
• v1.0.0rc1
• v1.0.0rc0
• 0.16.0
• 0.15.0
• 0.14.0
• 0.12.0
• 0.6.0

API Reference

• mmdet3d.core
• mmdet3d.datasets
• mmdet3d.models

Switch Language

• English
• 简体中文

Indices and tables

• Index

• Search Page