Implementation for Human Pose Estimation using OpenCV
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Updated
Nov 27, 2022 - Python
Implementation for Human Pose Estimation using OpenCV
DenseBag: a State of the Art Neural Network Architecture for Eye Gaze Estimation
Adversarial Learning for Human Pose Estimation: Generative Adversarial Deep Convolutional Networks to attain Structure-awareness in Human Pose Estimation | MS Thesis
POSCOict AI 인턴쉽 Team B AI 기반 모션인식을 통한 자세교정솔루션
this project is able to detect length of both arms and shoulder to neck distance on a image and video using MPII trained model weights with human pose estimation technique
simple human pose estimation, keypoints detection. Support MPII and COCO format dataset. (annotation converter for MPII .mat included)
This model detects and tracks the pose of the human through Image as well as Video using Computer Vision.
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"
2D human pose estimation with DSNT
Analyzes weightlifting videos for correct posture using pose estimation with OpenCV
A fast stacked hourglass network for human pose estimation on OpenVino
[IJCAI 2022] Code for the paper "Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation"
Evaluation code for the MPII human pose dataset
Simple Baselines for Human Pose Estimation and Tracking
Chainer implementation of Pose Proposal Networks
DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659
Official TensorFlow implementation of "PoseFix: Model-agnostic General Human Pose Refinement Network", CVPR 2019
TensorFlow implementation of "Simple Baselines for Human Pose Estimation and Tracking", ECCV 2018
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