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README.md

Defect classificaiton using NEU dataset

A simple, binary classification using Xception model which was pretrained and of which the weights file can be fetched from Keras

Dataset

NEU surface defect database

Samples with surface defects are merged into a single category (folder) call MT_Defects.

Cleaned-up dataset is stored in folder data

Data preparation

Call: python data_prep.py after modifying corresponding folders and split percentages for train/val/test.

Train/test

Call: python defect_classify.py

For parameters see inside the code.

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简介

A simple, binary classification using Xception model which was pretrained and of which the weights file can be fetched from Keras. 一种简单的二进制分类方法,使用预训练的异常模型,其中权重文件可以从Keras中获取. 展开 收起
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