MMDetection
v2.16.0
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Prerequisites
Installation
Verification
Model Zoo Statistics
Benchmark and Model Zoo
Quick Run
1: Inference and train with existing models and standard datasets
2: Train with customized datasets
3: Train with customized models and standard 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
Corruption Benchmarking
Tutorial 8: Pytorch to ONNX (Experimental)
Tutorial 9: ONNX to TensorRT (Experimental)
Tutorial 10: Weight initialization
Useful Tools and Scripts
Log Analysis
Result Analysis
Visualization
Error Analysis
Model Serving
Model Complexity
Model conversion
Dataset Conversion
Robust Detection Benchmark
Miscellaneous
Hyper-parameter Optimization
Notes
Conventions
Compatibility of MMDetection 2.x
Projects based on MMDetection
Changelog
Frequently Asked Questions
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API Reference
API Reference
MMDetection
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v: v2.16.0
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