stacked-hourglass-networks
There are 17 repositories under stacked-hourglass-networks topic.
wbenbihi/hourglasstensorflow
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Naman-ntc/Pytorch-Human-Pose-Estimation
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
HiKapok/tf.fashionAI
Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow
yuanyuanli85/Fast_Human_Pose_Estimation_Pytorch
Pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
yuanyuanli85/Stacked_Hourglass_Network_Keras
Keras Implementation for Stacked Hourglass Network
yuanyuanli85/Fast_Stacked_Hourglass_Network_OpenVino
A fast stacked hourglass network for human pose estimation on OpenVino
KhaLee2307/hand-pose-estimation
Estimate 2D Hand Pose from RGB image by top-down method using Stacked Hourglass Network and Hand Detector module - SSD (single-shot detector)
yuanyuanli85/pytorch-pose
A PyTorch toolkit for 2D Human Pose Estimation.
dkurzend/Soft_Gated_Pose_Estimation_Pytorch
Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"
adipandas/torch_shnet
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
benjs/hourglass_networks
tf.keras implementation of "Toward fast and accurate human pose estimation via soft-gated skip connections" by Bulat et al. and "Stacked Hourglass Networks for Human Pose Estimation" by Newell et al.
dkurzend/Human_Pose_Estimation_Flask_App
Flask application for human pose estimation using webcam of the computer
shuuchen/SHNets
stacked hourglass nets in pytorch for depth or height field estimation.
sooryamsharma/adv-pose-estimation
Adversarial Learning for Human Pose Estimation: Generative Adversarial Deep Convolutional Networks to attain Structure-awareness in Human Pose Estimation | MS Thesis
albertoursino/deepposekit-dogs
Toolkit for pose estimation using Deep Learning.