yixiyixi5

FabricDefectDetection

AIFT2019-Real-time fabric defect segmentation based on convolutional neural network

Industrial-Defect-Inspection-segmentation

Automatic Defect Inspection with End-to-End Deep Learning

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

adversarial-segmentation

Anomaly detection on medical images. Unsupervised Segmentation of tumors usin GANs..

Anomaly-Detection-PatchSVDD-PyTorch

AnomalyDetection

Anomaly Detection in computer vision

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

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

context_encoder_pytorch

PyTorch Implement of Context Encoders: Feature Learning by Inpainting

Defect_Segmentation

An implementation of the U-net model based on the paper

DefectSegNet

DefectSegNet for semantic segmentation of defects in Steels

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

f-AnoGAN

Code for reproducing f-AnoGAN training and anomaly scoring

f-AnoGAN-1

Implementation of f-AnoGAN with PyTorch

f-AnoGAN_with_Pytorch

FabricDefect

A weakly annotated fabric defect dataset. Contains 24 512x512 images. Every image has a 512x512 mask. The mask has one rectangular bounding box covering the entire defect but has pixels of fabric without defect. This makes the defect detection task challenging.

GAN-defect

demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

imgaug

Image augmentation for machine learning experiments.

ITAE-Pytorch-Anomaly_Detection

An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676

PConv-Keras

Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

Pytorch-Segmentation-multi-models

Pytorch implementation for Semantic Segmentation with multi models (Deeplabv3, Deeplabv3_plus, PSPNet, UNet, UNet_AutoEncoder, UNet_nested, R2AttUNet, AttentionUNet, RecurrentUNet,, SEGNet, CENet, DsenseASPP, RefineNet, RDFNet)

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

sae

An Auto-Encoder Strategy for Adaptive Image Segmentation (SAE)

Severstal-Steel-Defect-Detection-1

Can you detect and classify defects in steel? Segmentation in Pytorch

skip-ganomaly

Source code for Skip-GANomaly paper

tensorflow2_tutorials_chinese

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

unet_magnetic_tiles_defects

Blow hole defects segmentation using UNet

Unsupervised_Anomaly_Detection_Brain_MRI

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

VAEGAN

try VAE GANLoss + SSIM loss in anomaly Detection