Help finding an appropriate model for human pose estimation

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/computervision

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  • GitHub repo openpose

    OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

    Openpose: This is supposedly realtime (I assume on a gpu, 24fps?) and they provide training code

  • GitHub repo lightweight-human-pose-estimation.pytorch

    Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.

    Lightweight OpenPose: Runs in realtime >20fps confirmed, training code is provided

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  • GitHub repo mediapipe

    Cross-platform, customizable ML solutions for live and streaming media.

    mediapipe: runs in realtime > 20fps confirmed, training code is NOT provided

  • GitHub repo tfjs-models

    Pretrained models for TensorFlow.js

    posenet: No training code, can one even train tfjs models?

  • GitHub repo tfjs

    A WebGL accelerated JavaScript library for training and deploying ML models.

    posenet: No training code, can one even train tfjs models?

  • GitHub repo BlazePose-tensorflow

    A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".

    blazepose: havent tried it yet, looks like tf implementation, but no discussion bout speed. Training code included

  • GitHub repo AlphaPose

    Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

    alphapose: havent tried it, but looks to run at 16fps (maybe faster?) but is only intended for research not commercial. Training script available.

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • GitHub repo UniPose

    We propose UniPose, a unified framework for human pose estimation, based on our “Waterfall” Atrous Spatial Pooling architecture, that achieves state-of-art-results on several pose estimation metrics. Current pose estimation methods utilizing standard CNN architectures heavily rely on statistical postprocessing or predefined anchor poses for joint localization. UniPose incorporates contextual seg- mentation and joint localization to estimate the human pose in a single sta

  • GitHub repo deep-high-resolution-net.pytorch

    The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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