openpose VS deep-high-resolution-net.pytorch

Compare openpose vs deep-high-resolution-net.pytorch and see what are their differences.

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openpose deep-high-resolution-net.pytorch
36 4
29,627 4,190
1.4% -
5.2 0.0
13 days ago over 1 year ago
C++ Cuda
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

openpose

Posts with mentions or reviews of openpose. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-25.

deep-high-resolution-net.pytorch

Posts with mentions or reviews of deep-high-resolution-net.pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-14.
  • Deadlift videos needed [AI]
    2 projects | /r/powerlifting | 14 Sep 2022
    I am sure you have some great ideas in mind for your model design, but a quick tip (from having worked on a similar project) - it may be very challenging to simply take raw videos as input (especially with unconstrained camera viewpoints) without doing some feature extraction/keypoint detection first. For example, open-source plug-and-play 2D keypoint detectors are extremely good nowadays (e.g HRNet), and explicitly detecting 2D keypoints before classifying deadlift videos as "good" or "bad" will likely make the task more feasible!
  • Help finding an appropriate model for human pose estimation
    9 projects | /r/computervision | 29 Sep 2021

What are some alternatives?

When comparing openpose and deep-high-resolution-net.pytorch you can also consider the following projects:

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

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

detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.

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.

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

MocapNET - We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the Human 3.6 Million (H3.6M) dataset compared to the baseline method (MocapNET) while maintaining real-time performance

freemocap - Free Motion Capture for Everyone 💀✨

jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

VIBE - Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

Caffe - Caffe: a fast open framework for deep learning.

tfjs-models - Pretrained models for TensorFlow.js