PoseEstimationForMobile VS tensorflow_Realtime_Multi-Person_Pose_Estimation

Compare PoseEstimationForMobile vs tensorflow_Realtime_Multi-Person_Pose_Estimation and see what are their differences.

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PoseEstimationForMobile tensorflow_Realtime_Multi-Person_Pose_Estimation
1 1
1,000 213
- -
0.0 0.0
over 1 year ago over 1 year ago
C++ Jupyter Notebook
Apache License 2.0 GNU General Public License v3.0 or later
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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

tensorflow_Realtime_Multi-Person_Pose_Estimation

Posts with mentions or reviews of tensorflow_Realtime_Multi-Person_Pose_Estimation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-02.

What are some alternatives?

When comparing PoseEstimationForMobile and tensorflow_Realtime_Multi-Person_Pose_Estimation 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

openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

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.

LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022

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Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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