RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

by   Tao Jiang, et al.

Recent studies on 2D pose estimation have achieved excellent performance on public benchmarks, yet its application in the industrial community still suffers from heavy model parameters and high latency. In order to bridge this gap, we empirically explore key factors in pose estimation including paradigm, model architecture, training strategy, and deployment, and present a high-performance real-time multi-person pose estimation framework, RTMPose, based on MMPose. Our RTMPose-m achieves 75.8 Intel i7-11700 CPU and 430+ FPS on an NVIDIA GTX 1660 Ti GPU, and RTMPose-l achieves 67.0 RTMPose's capability in critical real-time applications, we also report the performance after deploying on the mobile device. Our RTMPose-s achieves 72.2 AP on COCO with 70+ FPS on a Snapdragon 865 chip, outperforming existing open-source libraries. Code and models are released at https://github.com/open-mmlab/mmpose/tree/1.x/projects/rtmpose.


page 3

page 4


MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network

In this paper, we present MultiPoseNet, a novel bottom-up multi-person p...

Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose

In this work we adapt multi-person pose estimation architecture to use i...

Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

Pose estimation plays a critical role in human-centered vision applicati...

Single upper limb pose estimation method based on improved stacked hourglass network

At present, most high-accuracy single-person pose estimation methods hav...

MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices

We present MovePose, an optimized lightweight convolutional neural netwo...

Active Learning for Bayesian 3D Hand Pose Estimation

We propose a Bayesian approximation to a deep learning architecture for ...

Improving Multi-Person Pose Estimation using Label Correction

Significant attention is being paid to multi-person pose estimation meth...

Please sign up or login with your details

Forgot password? Click here to reset