cyj95

anomalib

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

cflow-ad

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

Classifying-Dogs-and-Cats-using-CNN

Using deep learning to improve image classification accuracy

defect_detection

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

elpv-dataset

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

fcdd

Repository for the Explainable Deep One-Class Classification paper

FrEIA

Framework for Easily Invertible Architectures

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

ind_knn_ad

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

mask_detect

基于yolov5+pytorch+pyqt5的口罩穿戴检测。。

cyj95/anomalib

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

cyj95/cflow-ad

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

cyj95/Classifying-Dogs-and-Cats-using-CNN

Using deep learning to improve image classification accuracy

cyj95/defect_detection

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

cyj95/elpv-dataset

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

cyj95/fcdd

Repository for the Explainable Deep One-Class Classification paper

cyj95/FrEIA

Framework for Easily Invertible Architectures

cyj95/ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

cyj95/ind_knn_ad

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

cyj95/mask_detect

基于yolov5+pytorch+pyqt5的口罩穿戴检测。。

cyj95/mocca-anomaly-detection

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

cyj95/ocsvm-anomaly-detection

anomaly detection by one-class SVM

cyj95/OneClassSVM

use resnet50 as a feature extractor to do one class svm

cyj95/orthoad

Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

cyj95/PaDiM-Anomaly-Detection-Localization-master

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

cyj95/patchcore-inspection

cyj95/PatchCore_anomaly_detection

Unofficial implementation of PatchCore anomaly detection

cyj95/Picture-Cutter

A simple python program that segments any images.

cyj95/pytorch-cutpaste

unoffical and work in progress PyTorch implementation of CutPaste

cyj95/tensorflow-vgg

Tensorflow implementation of VGG 16 and VGG 19

cyj95/test

cyj95/TextileDefectDetection

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

cyj95/Tianchi-2019-Guangdong-Intelligent-identification-of-cloth-defects-rank5

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

cyj95/unbox_yolov5_deepsort_counting

yolov5 deepsort 行人 车辆 跟踪 检测 计数

cyj95/Visual-Defects-Detection

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 other domains.

cyj95/yolov5

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