DensePose の推論 API

WiFi CSI is a tool that lets you track people through walls by analyzing how WiFi signals bounce off their bodies (yes, it’s real). This repo brings together some of the best methods for working with WiFi CSI, along with additional mathematical modeling techniques. It explores how standard WiFi signals can be used to detect human presence.

Research project with the goal of exploring ways to improve human position inference based on a single image.

wearing instagram

Hack The North 2018

Fork of DensePose from WiFi — modified for dummy data testing on Apple Silicon

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

preprocessing for VITON models

Human Pose experiments

Implementation of detectron2 denspose estimation with acknowledgement of body parts gazed.

Person of Interest. A flexible computer vision library on human analysis, such as person re-identification, human attribute, pose estimation and dense pose estimation.

TryItOut is a versatile project that brings a variety of innovative features to the forefront, aimed at enhancing the online shopping experience. With a range of capabilities, the project empowers users to explore, visualize, and tailor their digital shopping journeys

How to Install DensePose

Pytorch implementation of the paper, Neural re-rendering of humans from a single image.

To convert atlas texuture (defined in Densepose) to normal texture (defined in SMPL), and vice versa.

This is a pix2pix demo that learns from pose and translates this into a human. A webcam-enabled application is also provided that translates your pose to the trained pose. Everybody dance now !

CT-Net, OpenPose, LIP_JPPNet, DensePose running with ncnn⚡服装迁移/虚拟试穿⚡ClothingTransfer/Virtual-Try-On⚡

Convert your videos to densepose and use it on MagicAnimate

π RuView: WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection — all without a single pixel of video.