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pcb-defect-detection's Introduction

基于分组金字塔池化的PCB缺陷检测模型 训练与测试指南

简介：本代码深度学习框架下的PCB缺陷检测模型训练与测试代码，不包含数据集（数据集见第三节介绍）。此模型用于检测常见的六类PCB缺陷：断路、短路、针孔、露铜、毛刺及缺口，模型能够稳定检测3x3尺寸及以上的缺陷，同时对尺寸小于3x3的缺陷泛化能力也较强，详见第六节实验分析。

##环境配置

##数据集下载

##模型训练

##模型测试

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