tfjs VS openpose

Compare tfjs vs openpose and see what are their differences.

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tfjs openpose
27 36
18,041 29,627
0.6% 1.4%
8.8 5.2
6 days ago 12 days ago
TypeScript C++
Apache License 2.0 GNU General Public License v3.0 or later
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.

tfjs

Posts with mentions or reviews of tfjs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-28.

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.

What are some alternatives?

When comparing tfjs and openpose 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"

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

webhl - WebHL is a fork of hlviewer.js that uses the File System Access API to load game assets direct from your computer rather than from a server.