tensorflow_Realtime_Multi-Person_Pose_Estimation
PoseEstimationForMobile
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| tensorflow_Realtime_Multi-Person_Pose_Estimation | PoseEstimationForMobile | |
|---|---|---|
| 1 | 1 | |
| 212 | 991 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Jupyter Notebook | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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tensorflow_Realtime_Multi-Person_Pose_Estimation
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[Help] Multiple Keypoints Estimation
I've seen this kind of repo too : https://github.com/michalfaber/tensorflow_Realtime_Multi-Person_Pose_Estimation
PoseEstimationForMobile
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Is a refresh coming?
Tonal has a pretty beefy android system in it. https://github.com/edvardHua/PoseEstimationForMobile
What are some alternatives?
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
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
LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
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.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
Single-Stage-Multi-person-Pose-Machines - A tensorlfow implementation about arxiv paper "Single-Stage Multi-Person Pose Machines" (SPM)
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.
3DObjectTracking - Algorithms and Publications on 3D Object Tracking
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
tensorflow - An Open Source Machine Learning Framework for Everyone