An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Framework for Easily Invertible Architectures

unoffical and work in progress PyTorch implementation of CutPaste

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

Unofficial implementation of PatchCore anomaly detection

Repository for the Explainable Deep One-Class Classification paper

Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'

基于yolov5+pytorch+pyqt5的口罩穿戴检测。。

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

yolov5 deepsort 行人 车辆 跟踪 检测 计数

A dataset of functional and defective solar cells extracted from EL images of solar modules

YOLO v5 pytorch implementation. This repository contains code for this tutorial.

Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks

天池2019广东工业智造创新大赛 布匹疵点检测 天池水也太深了 季军解决方案

This repo contains code to detect anonmaly by comparing an image with its golden refrences/template matching,originally working on automotive parts,but should be able to generalize well accross oth…

use resnet50 as a feature extractor to do one class svm

anomaly detection by one-class SVM

A simple python program that segments any images.

Tensorflow implementation of VGG 16 and VGG 19

The project can be used to detect defect on the surface of textiles.

Using deep learning to improve image classification accuracy