Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
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Updated
Mar 16, 2023 - Jupyter Notebook
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow
Pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
Keras Implementation for Stacked Hourglass Network
A fast stacked hourglass network for human pose estimation on OpenVino
Estimate 2D Hand Pose from RGB image by top-down method using Stacked Hourglass Network and Hand Detector module - SSD (single-shot detector)
A PyTorch toolkit for 2D Human Pose Estimation.
Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
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.
Flask application for human pose estimation using webcam of the computer
Adversarial Learning for Human Pose Estimation: Generative Adversarial Deep Convolutional Networks to attain Structure-awareness in Human Pose Estimation | MS Thesis
stacked hourglass nets in pytorch for depth or height field estimation.
Toolkit for pose estimation using Deep Learning.
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