MMDetection
v2.13.0

Get Started

  • Prerequisites
  • Installation
  • Verification
  • Benchmark and Model Zoo

Quick Run

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

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: Customize Losses
  • Tutorial 7: Finetuning Models
  • Tutorial 8: Pytorch to ONNX (Experimental)
  • Tutorial 9: ONNX to TensorRT (Experimental)

Useful Tools and Scripts

  • Log Analysis
  • Result Analysis
  • Visualization
  • Error Analysis
  • Model Serving
  • Model Complexity
  • Model conversion
  • Dataset Conversion
  • Robust Detection Benchmark
  • Miscellaneous

Notes

  • Conventions
  • Compatibility of MMDetection 2.x
  • Projects based on MMDetection
  • Changelog
  • MMCV Installation
  • PyTorch/CUDA Environment
  • Training

API Reference

  • API Reference
MMDetection
  • Docs »
  • Search
  • Edit on GitHub

© Copyright 2018-2020, OpenMMLab Revision a8c681d2.

Built with Sphinx using a theme provided by Read the Docs.