MMDetection3D
v0.16.0

Get Started

  • Prerequisites
  • Installation
  • Verification
  • Demo
  • Model Zoo
  • Dataset Preparation

Quick Run

  • 1: Inference and train with existing models and standard datasets
  • 2: Train with customized datasets

Supported Tasks

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

Datasets

  • NuScenes 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

Useful Tools and Scripts

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

Notes

  • Benchmarks
  • FAQ
  • Compatibility with Previous Versions of MMDetection3D

API Reference

  • API Documentation

语言切换

  • English
  • 简体中文
MMDetection3D
  • Docs »
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  • LiDAR-Based 3D Detection
    • Data Preparation
    • Training
    • Quantitative Evaluation
    • Testing and Making a Submission
    • Qualitative Validation
  • Vision-Based 3D Detection
    • Data Preparation
    • Training
    • Quantitative Evaluation
    • Testing and Making a Submission
    • Qualitative Validation
  • LiDAR-Based 3D Semantic Segmentation
    • Data Preparation
    • Training
    • Quantitative Evaluation
    • Testing and Making a Submission
    • Qualitative Validation
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