tensorflow_Realtime_Multi-Person_Pose_Estimation
Human-pose-estimation
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| tensorflow_Realtime_Multi-Person_Pose_Estimation | Human-pose-estimation | |
|---|---|---|
| 1 | 1 | |
| 212 | 4 | |
| - | - | |
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| over 1 year ago | almost 2 years ago | |
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| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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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
Human-pose-estimation
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- GitHub project : https://github.com/Justsecret123/Human-pose-estimation
What are some alternatives?
openpifpaf - Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.
learnopencv - Learn OpenCV : C++ and Python Examples
LoFTR - Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.
PeekingDuck - A modular framework built to simplify Computer Vision inference workloads.
pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.
PoseEstimationForMobile - :dancer: Real-time single person pose estimation for Android and iOS.
qc-tutorial - Komprehenzivni uvod u svijet kvantnog računarstva na srpskom jeziku
Single-Stage-Multi-person-Pose-Machines - A tensorlfow implementation about arxiv paper "Single-Stage Multi-Person Pose Machines" (SPM)
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.