mmVital-Signs project aims at vital signs detection and provide standard python API from Texas Instrument (TI) mmWave hardware, such as xWR14xx, xWR16xx and xWR68xx.

ETH Zürich Semester Project exploring the possibilities of using Deep Learning to extract vital signs from Radar Data

A capstone project which is focused on developing an indoor radar-based system for monitoring human vital signs. It utilizes FMCW radar technology and deep learning to track heart and breathing rat…

Vital Signs Prediction under Free Body Movement based on Millimeter Wave Radar

Data repo for mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors

A point cloud dataset for mmWave radar human activity recognition.

All supporting documents for mmwave radar for HAR diisertation

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

This is the official repository to manuscript "Jigsaw Block for Anomaly Detection of Industrial Products Considering both Texture and Shape Information"

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

An example implementation of the FabricNet paper.

PyTorch implementation of Deeplog: Anomaly detection and diagnosis from system logs through deep learning

Original implementation and resources of DeepCASE as in the S&P '22 paper

OpenMMLab course index and stuff

广东工业智造大赛--布匹瑕疵检测复赛代码

一个基于yolov5-5.0的中文注释版本！

Detecting defects in fabric for textile manufacturing unit

Textile Defect Detection with Variational Autoencoder and Gaussian Mixture Model

布匹缺陷识别练习赛

天池创新大赛：热身赛 布匹缺陷检测，内容：根据给出的布匹图片标注出其中的缺陷

2021全球人工智能技术创新大赛 : 布匹疵点智能识别

FashionAI Global Challenge—Attributes Recognition of Apparel based on PyTorch

A repository to curate and summarise research papers related to fashion and e-commerce

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, suc…

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.