PoseEstimationForMobile VS 3DObjectTracking

Compare PoseEstimationForMobile vs 3DObjectTracking and see what are their differences.

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PoseEstimationForMobile 3DObjectTracking
1 1
991 591
- 1.9%
0.0 3.3
about 1 year ago 11 months ago
C++ C++
Apache License 2.0 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.
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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.

PoseEstimationForMobile

Posts with mentions or reviews of PoseEstimationForMobile. We have used some of these posts to build our list of alternatives and similar projects.
  • Is a refresh coming?
    1 project | /r/tonalgym | 21 Nov 2021
    Tonal has a pretty beefy android system in it. https://github.com/edvardHua/PoseEstimationForMobile

3DObjectTracking

Posts with mentions or reviews of 3DObjectTracking. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing PoseEstimationForMobile and 3DObjectTracking you can also consider the following projects:

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

tensorflow_Realtime_Multi-Person_Pose_Estimation - Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

Cocos2d - Cocos2d-x is a suite of open-source, cross-platform, game-development tools utilized by millions of developers across the globe. Its core has evolved to serve as the foundation for Cocos Creator 1.x & 2.x.

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

ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform

ANMS-Codes - Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.

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

tensorflow - An Open Source Machine Learning Framework for Everyone