缺陷检测算法汇总(传统+深度学习方式)|综述、源码
共 3529字,需浏览 8分钟
·
2021-05-06 12:48
极市导读
本文是对缺陷算法的综述、源码等资源的汇总。 >>加入极市CV技术交流群,走在计算机视觉的最前沿
文献资料汇总:
https://github.com/Eatzhy/surface-defect-detection
综述:机器视觉表面缺陷检测综述
缺陷检测工具箱:
https://github.com/abin24/Saliency-detection-toolbox
基于深度学习方式
1、语义分割方式
https://github.com/Wslsdx/Deep-Learning-Approach-for-Surface-Defect-Detection
https://github.com/LeeWise9/Segmentation-Based-Surface-Defect-Detection
https://github.com/CristinaMa0917/Defects_Detection_MaskRCNN
2、目标检测方式
https://github.com/YeahHuang/Al_surface_defect_detection
3、基于GAN
https://github.com/hukefei/GAN-defect
4、不同行业应用
1)PCB
https://github.com/Ixiaohuihuihui/Tiny-Defect-Detection-for-PCB
https://github.com/chinthysl/AXI_PCB_defect_detection
https://github.com/gustavo95/pcb-defect-detection
2)钢材缺陷检测
https://github.com/khornlund/severstal-steel-defect-detection
https://github.com/Diyago/Severstal-Steel-Defect-Detection
https://github.com/toandaominh1997/Steel-Defect-Detection
https://github.com/rook0falcon/steel-defect-detection
3)胶囊缺陷检测
https://github.com/TSjianjiao/Defect-Detection-with-tensorflow
4)电池缺陷检测
https://github.com/cdeldon/thermography
https://github.com/evip/ButtonDefectDetection
5)织物缺陷检测
https://github.com/weningerleon/TextileDefectDetection
https://github.com/freedom-kevin/defect_detection
https://github.com/Johncheng1/Fabric-defect-detection
https://github.com/luissen/SSDT-A-single-shot-detector-for-PCB--defects
https://github.com/wangerniuniu/FabricDefectDetection
https://github.com/mynameiswangshiyi/AE-BP-fabric-defect-detection
6)水果和蔬菜缺陷检测
https://github.com/shyamsuresh14/Detection-of-defects-in-fruits-and-vegetables
其它
https://github.com/skokec/segdec-net-jim2019
https://github.com/zwb204/Industrial_defect_detection
https://github.com/wuziheng/SiliconWaferDefectDetection
https://github.com/qiucongying/Mcue
https://github.com/yjphhw/SACNN
缺陷检测数据集
https://github.com/abin24/Surface-Inspection-defect-detection-dataset
https://github.com/Eatzhy/Surface-defect-Detection-dataset
如果觉得有用,就请分享到朋友圈吧!
公众号后台回复“YOLO”获取YOLO 系目标检测算法总览
深度学习环境搭建:个人深度学习工作站配置指南|深度学习主机配置推荐
实操教程:用OpenCV的DNN模块部署YOLOv5目标检测|TensorRT的FP16模型转换教程
算法技巧(trick):17种提高PyTorch“炼丹”速度方法|PyTorch Trick集锦|深度学习调参tricks总结
最新CV竞赛:2021 高通人工智能应用创新大赛|CVPR 2021 | Short-video Face Parsing Challenge
# CV技术社群邀请函 #
备注:姓名-学校/公司-研究方向-城市(如:小极-北大-目标检测-深圳)
即可申请加入极市目标检测/图像分割/工业检测/人脸/医学影像/3D/SLAM/自动驾驶/超分辨率/姿态估计/ReID/GAN/图像增强/OCR/视频理解等技术交流群
每月大咖直播分享、真实项目需求对接、求职内推、算法竞赛、干货资讯汇总、与 10000+来自港科大、北大、清华、中科院、CMU、腾讯、百度等名校名企视觉开发者互动交流~