Welcome to MMPose’s documentation!

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• Installation
  • Requirements
  • Prepare environment
  • Install MMPose
  • Install with CPU only
  • A from-scratch setup script
  • Another option: Docker Image
  • Developing with multiple MMPose versions
• Getting Started
  • Prepare Datasets
  • Inference with Pre-trained Models
  • Train a model
  • Benchmark
  • Tutorials
• Demo
  • 2D Animal Pose Demo
  • 2D Face Keypoint Demo
  • 2D Hand Keypoint Demo
  • 2D Human Pose Demo
  • 2D Pose Tracking Demo
  • 2D Human Whole-Body Pose Demo
  • 3D Hand Demo
  • 3D Hand Demo
  • 3D Human Pose Demo
  • Webcam Demo
• Benchmark
  • Comparison Rules
  • Hardware
  • Software Environment

Datasets

• Overview
  • 2D Animal Keypoint Dataset
  • 2D Body Keypoint Datasets
  • 2D Face Keypoint Datasets
  • 2D Fashion Landmark Dataset
  • 2D Hand Keypoint Datasets
  • 2D Wholebody Keypoint Datasets
  • 3D Body Keypoint Datasets
  • 3D Body Mesh Recovery Datasets
  • 3D Hand Keypoint Datasets
• 2D Body Keypoint Datasets
  • COCO
  • MPII
  • MPII-TRB
  • AIC
  • CrowdPose
  • OCHuman
  • MHP
  • PoseTrack18
  • sub-JHMDB dataset
• 2D Wholebody Keypoint Datasets
  • COCO-WholeBody
  • Halpe
• 2D Face Keypoint Datasets
  • 300W Dataset
  • WFLW Dataset
  • AFLW Dataset
  • COFW Dataset
  • COCO-WholeBody (Face)
• 2D Hand Keypoint Datasets
  • OneHand10K
  • FreiHAND Dataset
  • CMU Panoptic HandDB
  • InterHand2.6M
  • RHD Dataset
  • COCO-WholeBody (Hand)
• 2D Fashion Landmark Dataset
  • DeepFashion (Fashion Landmark Detection, FLD)
• 2D Animal Keypoint Dataset
  • Animal-Pose
  • Horse-10
  • MacaquePose
  • Vinegar Fly
  • Desert Locust
  • Grévy’s Zebra
  • ATRW
• 3D Body Keypoint Datasets
  • Human3.6M
• 3D Body Mesh Recovery Datasets
  • Notes
  • COCO
  • Human3.6M
  • MPI-INF-3DHP
  • LSP
  • LSPET
  • CMU MoShed Data
• 3D Hand Keypoint Datasets
  • InterHand2.6M

Model Zoo

• Overview
  • Animal
  • Body(2D,Kpt,Img)
  • Body(3D,Kpt,Img)
  • Body(3D,Kpt,Vid)
  • Body(3D,Mesh,Img)
  • Face
  • Fashion
  • Hand(2D)
  • Hand(3D)
  • Wholebody
• Animal
  • Animalpose Dataset
  • Atrw Dataset
  • Fly Dataset
  • Horse10 Dataset
  • Locust Dataset
  • Macaque Dataset
  • Zebra Dataset
• Body(2D,Kpt,Img)
  • Aic Dataset
  • Coco Dataset
  • Crowdpose Dataset
  • H36m Dataset
  • JHMDB Dataset
  • MHP Dataset
  • Mpii Dataset
  • Mpii_trb Dataset
  • Ochuman Dataset
  • Posetrack18 Dataset
• Body(3D,Kpt,Img)
  • H36m Dataset
  • Mpi_inf_3dhp Dataset
• Body(3D,Kpt,Vid)
  • H36m Dataset
  • Mpi_inf_3dhp Dataset
• Body(3D,Mesh,Img)
  • Mixed Dataset
• Face
  • 300w Dataset
  • Aflw Dataset
  • Coco_wholebody_face Dataset
  • Cofw Dataset
  • WFLW Dataset
• Fashion
  • Deepfashion Dataset
• Hand(2D)
  • Coco_wholebody_hand Dataset
  • Freihand2d Dataset
  • Interhand2d Dataset
  • Onehand10k Dataset
  • Panoptic2d Dataset
  • Rhd2d Dataset
• Hand(3D)
  • Interhand3d Dataset
• Wholebody
  • Coco-Wholebody Dataset
  • Halpe Dataset

Model Zoo (by paper)

• Datasets
  • Halpe (CVPR’2020)

Tutorials

• Tutorial 0: Learn about Configs
  • Modify config through script arguments
  • Config File Naming Convention
  • FAQ
• Tutorial 1: Finetuning Models
  • Outline
  • Modify Model
  • Modify dataset
  • Modify training schedule
  • Use pre-trained model
• Tutorial 2: Adding New Dataset
  • Customize datasets by reorganizing data
• Tutorial 3: Custom Data Pipelines
  • Design of Data pipelines
  • Extend and use custom pipelines
• Tutorial 4: Adding New Modules
  • Customize optimizer
  • Customize optimizer constructor
• Tutorial 5: Exporting a model to ONNX
  • Supported Models
  • Usage
• Tutorial 6: Customize Runtime Settings
  • Customize Optimization Methods
  • Customize Training Schedules
  • Customize Workflow
  • Customize Hooks

Useful Tools and Scripts

• Useful Tools
  • Log Analysis
  • Model Complexity (Experimental)
  • Model Conversion
  • Model Serving
  • Miscellaneous

Notes

• Changelog
  • v0.19.0 (08/10/2021)
  • v0.18.0 (01/09/2021)
  • v0.17.0 (06/08/2021)
  • v0.16.0 (02/07/2021)
  • v0.15.0 (02/06/2021)
  • v0.14.0 (06/05/2021)
  • v0.13.0 (31/03/2021)
  • v0.12.0 (28/02/2021)
  • v0.11.0 (31/01/2021)
  • v0.10.0 (31/12/2020)
  • v0.9.0 (30/11/2020)
  • v0.8.0 (31/10/2020)
  • v0.7.0 (30/9/2020)
  • v0.6.0 (31/8/2020)
  • v0.5.0 (21/7/2020)
• FAQ
  • Installation
  • Data
  • Training
  • Evaluation
  • Inference
  • Deployment

API Reference

• mmpose.apis
• mmpose.core
  • evaluation
  • fp16
  • utils
  • post_processing
• mmpose.models
  • backbones
  • necks
  • detectors
  • heads
  • losses
  • misc
• mmpose.datasets
  • datasets
  • pipelines
  • samplers
• mmpose.utils

Languages

• English
• 简体中文

Indices and tables

• Index

• Search Page