openpose VS freemocap

Compare openpose vs freemocap and see what are their differences.

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openpose freemocap
36 11
29,802 3,065
1.3% 3.2%
5.2 8.6
9 days ago 6 days ago
C++ Python
GNU General Public License v3.0 or later GNU Affero General Public License v3.0
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.

freemocap

Posts with mentions or reviews of freemocap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-23.

What are some alternatives?

When comparing openpose and freemocap you can also consider the following projects:

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

juggling-vision-py

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

hawkeye - Hawkeye juggling video analysis

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

JugglingTracker_Python - Python program using OpenCV which tracks juggling balls, calculates and displays the velocity of each ball. Designed and built as a final project in Computer Vision academic course.

mmpose - OpenMMLab Pose Estimation Toolbox and Benchmark.

Juggling-Coach - OpenCV.js Juggling Motion Tracker

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

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