MMSegmentation
stable
Requirements
Installation
A from-scratch setup script
Getting Started
Config System
Benchmark and Model Zoo
Tutorials
1. Adding New Dataset
2. Custom Data Pipelines
3. Adding New Modules
4. Training Tricks
API Reference
API Reference
MMSegmentation
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Welcome to MMSegmenation’s documentation!
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Welcome to MMSegmenation’s documentation!
¶
Requirements
Installation
A from-scratch setup script
Linux
Windows(Experimental)
Getting Started
Prepare datasets
Inference with pretrained models
Train a model
Useful tools
Tutorials
Config System
Config File Structure
Config Name Style
An Example of PSPNet
FAQ
Benchmark and Model Zoo
Common settings
Baselines
Speed benchmark
Tutorials
1. Adding New Dataset
Customize datasets by reorganizing data
Customize datasets by mixing dataset
2. Custom Data Pipelines
Design of Data pipelines
Extend and use custom pipelines
3. Adding New Modules
Customize optimizer
Customize optimizer constructor
Develop new components
4. Training Tricks
Different Learning Rate(LR) for Backbone and Heads
Online Hard Example Mining (OHEM)
Class Balanced Loss
API Reference
API Reference
mmseg.apis
mmseg.core
seg
evaluation
utils
mmseg.datasets
datasets
pipelines
mmseg.models
segmentors
backbones
decode_heads
losses
Indices and tables
¶
Index
Search Page
Read the Docs
v: stable
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