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
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v: v2.13.0
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