Implementation for Human Pose Estimation using OpenCV
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Updated
Nov 27, 2022 - Python
Implementation for Human Pose Estimation using OpenCV
Get images from realsense camera and sparkfun thermal camera in opencv format. Then detect human using data
A top-down pose estimation method.
Ask a question to the user, track head movement via webcam, classify nod as Yes or No. Track human gesture
Human Pose Estimation for multi-view Human Action Recognition
Human pose prediction via decoupled representation for the poses that are dually conditioned by the local and global temporally encoded features of the sequence frames and the corresponding poses.
In progress: Uses CNNs to classify different forms for various exercises through a PyTorch implementation of "2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning."
This repository contains the Pytorch code for human pose estimation using the CAREN dataset.
Bachelor's thesis
Juggling Pattern Recognition
OpenVino TookKit based application
LSTM Pose Machines for Video Human Pose Estimation - Implemented by PyTorch
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
A framework implemented with Blender to generate images of articulated human characters for machine learning with synthetic data sets.
RDC Internships Aug. 2020
A simple baseline for 3d human pose estimation in tensorflow v2.
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