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VIBE is a 3D human pose estimation framework designed to reconstruct human body shapes and poses from video frames. It functions as a toolkit for predicting parameters of the SMPL human body model to generate 3D mesh sequences. The system includes a 3D motion data exporter to convert predicted pose sequences into standard 3D file formats for use in graphics and animation software. It also provides a structured training pipeline for preparing datasets and training models to estimate body shapes from images. Its capabilities cover computer vision for estimating body pose and shape, as well as
AlphaPose is a deep learning pose estimation framework and PyTorch computer vision library designed for detecting and tracking human body, face, hand, and foot keypoints in images and videos. It provides a system for skeletal posture estimation and multi-person pose tracking. The project implements tools for three-dimensional human pose reconstruction, generating joint positions and body mesh shapes from two-dimensional image data. It also includes a multi-person pose tracker capable of maintaining the identity of multiple people across consecutive video frames. The framework covers a broad
JTA (Joint Track Auto) is a huge dataset for pedestrian pose estimation and tracking in urban scenarios created by exploiting the highly photorealistic video game Grand Theft Auto V. We collected a set of 512 full-HD videos (256 for training and 256 for testing), 30 seconds long, recorded at 30…
This repository contains the code for performing warping of time series using Tensorflow. It also contains the code of computing the inverse of warping functions in Tensorflow
The main features of suhaslohit/ttn are: Video Pose Estimation.
Projects with overlapping indexed features include: getstream/vision-agents. mkocabas/vibe — VIBE is a 3D human pose estimation framework designed to reconstruct human body shapes and poses from video frames. It… mvig-sjtu/alphapose — AlphaPose is a deep learning pose estimation framework and PyTorch computer vision library designed for detecting and… facebookresearch/detectandtrack — The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in… facebookresearch/quaternet — This is the implementation of the approach described in the paper:. microsoft/human-pose-estimation.pytorch — The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and…
