MMDetection
v2.14.0

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
  • v2.14.0 (29/6/2021)
  • MMCV Installation
  • PyTorch/CUDA Environment
  • Training
  • Evaluation

API Reference

  • API Reference
MMDetection
  • »
  • 搜索

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