MMSegmentation
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Get Started

  • Prerequisites
  • Installation
  • Verification

Dataset Preparation

  • Prepare datasets

Model Zoo

  • Benchmark and Model Zoo
  • Model Zoo Statistics

Quick Run

  • Train a model
  • Inference with pretrained models

Tutorials

  • Tutorial 1: Learn about Configs
  • Tutorial 2: Customize Datasets
  • Tutorial 3: Customize Data Pipelines
  • Tutorial 4: Customize Models
  • Tutorial 5: Training Tricks
  • Tutorial 6: Customize Runtime Settings

Useful Tools and Scripts

  • Get the FLOPs and params (experimental)
  • Publish a model
  • Convert to ONNX (experimental)
  • Evaluate ONNX model
  • Convert to TorchScript (experimental)
  • Convert to TensorRT (experimental)
  • Miscellaneous

Notes

  • Changelog

Switch Language

  • English
  • 简体中文

API Reference

  • API Reference
MMSegmentation
  • Docs »
  • Overview: module code

All modules for which code is available

  • mmseg.core.evaluation.class_names
  • mmseg.core.evaluation.eval_hooks
  • mmseg.core.evaluation.metrics
  • mmseg.core.seg.builder
  • mmseg.core.seg.sampler.base_pixel_sampler
  • mmseg.core.seg.sampler.ohem_pixel_sampler
  • mmseg.core.utils.misc
  • mmseg.models.losses.accuracy
  • mmseg.models.losses.cross_entropy_loss
  • mmseg.models.losses.dice_loss
  • mmseg.models.losses.lovasz_loss
  • mmseg.models.losses.utils

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