Estimate 2D Hand Pose from RGB image by top-down method using Stacked Hourglass Network and Hand Detector module - SSD (single-shot detector)
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Updated
Mar 25, 2024 - Python
Estimate 2D Hand Pose from RGB image by top-down method using Stacked Hourglass Network and Hand Detector module - SSD (single-shot detector)
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419
Flask application for human pose estimation using webcam of the computer
Pytorch implementation of the paper "Toward fast and accurate human pose estimation via soft-gated skip connections"
Toolkit for pose estimation using Deep Learning.
Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models
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.
Stacked Hourglass Network (shnet) for human pose estimation implemented in PyTorch
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.
A fast stacked hourglass network for human pose estimation on OpenVino
A PyTorch toolkit for 2D Human Pose Estimation.
Keras Implementation for Stacked Hourglass Network
Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow
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