# skip-GANomaly-MvTec-grid

**Repository Path**: forechoni/skip-GANomaly-MvTec-grid

## Basic Information

- **Project Name**: skip-GANomaly-MvTec-grid
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-08-27
- **Last Updated**: 2021-08-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# skip-GANomaly-MvTec-grid
## Introduction
- **Packages**
  ![pytorch 1.6.0](https://img.shields.io/badge/pytorch-1.6.0-green.svg?style=plastic)
  ![torchvision 0.7.0](https://img.shields.io/badge/torchvision-0.7.0-green.svg?style=plastic)
  ![torchsummary 1.5.1](https://img.shields.io/badge/torchsummary-1.5.1-green.svg?style=plastic)
  ![tensorflow 2.3.1](https://img.shields.io/badge/tensorflow-2.3.1-green.svg?style=plastic)
  ![tensorboard 2.3.0](https://img.shields.io/badge/tensorboard-2.3.0-green.svg?style=plastic)
  ![tensorboardX 2.1](https://img.shields.io/badge/tensorboardX-2.1-green.svg?style=plastic)
  ![scikit-learn 0.23.0](https://img.shields.io/badge/scikitlearn-0.23.0-green.svg?style=plastic)
  ![scipy 1.5.4](https://img.shields.io/badge/scipy-1.5.4-green.svg?style=plastic)
  ![opencv-python 4.4.0.46](https://img.shields.io/badge/opencvpython-4.4.0.46-green.svg?style=plastic)
  ![numpy 1.18.5](https://img.shields.io/badge/numpy-1.18.5-green.svg?style=plastic)
  ![matplotlib 3.3.2](https://img.shields.io/badge/matplotlib-3.3.2-green.svg?style=plastic)
  ![tqdm 4.51.0](https://img.shields.io/badge/tqdm-4.51.0-green.svg?style=plastic)

[[reference](https://github.com/samet-akcay/ganomaly.git)]

## results
![0-0](.\experiments\skip_GANomaly_test\0-0.png)
![0-0](.\experiments\skip_GANomaly_test\0-2.png)
![0-0](.\experiments\skip_GANomaly_test\69-0.png)
![0-0](.\experiments\skip_GANomaly_test\69-2.png)
![0-0](.\experiments\skip_GANomaly_test\ROC.png)

- auc:  0.9423558897243107
- best_accuracy:  0.9358974358974359
- best_thre:  0.18796310469498784
- best_F1_score:  0.9661016949152543