huangfenbing

yolov5-v6.1-pytorch

这是一个yolov5-v6.1-pytorch的源码，可以用于训练自己的模型。

yolov5-pytorch

这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。

xiaomishopping

Driving-Behavior-Recognition

Driving Behavior Recognition

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

MCnet

rsdds

rail_surface_dataset

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

brats17

Brain tumor segmentation for MICCAI 2017 BraTS challenge

brain-synthesis-lesion-segmentation

Code for the paper "Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks" and NVIDIA DLI workshop on GAN for Medical Imaging

SceneChangeDet

pytorch implementation of scene change detection

ChangeNet-Pytorch

SINet

Camouflaged Object Detection, CVPR 2020 (Oral)

PythonSIFT

A clean and concise Python implementation of SIFT (Scale-Invariant Feature Transform)

AutoEncoder-SSIM-for-unsupervised-anomaly-detection-

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Siamese-pytorch

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

Saizeriya_detection

Object detection with Faster-RCNN. This realizes automatic "Spot the difference" by using only one side of images.

anomaly-detection-using-autoencoders

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Reconstruction-by-inpainting-for-visual-anomaly-detection

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

gaussian-ad-mvtec

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

MahalanobisAD-pytorch

PyTorch implementation of "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"

Unsupervised_Anomaly_Detection_Brain_MRI

Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

PaDiM-Anomaly-Detection-Localization-master

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

SPADE-pytorch

PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

cbigan-ad

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

MLF-SC

Anomaly detection method that incorporates multi-scale features to sparse coding

MVTec-Anomaly-Detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

DFR

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

Efficient_GAN-Based_Anomaly_Detection_Keras