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基于ResNet50模型的猪脸识别APP设计研究 被引量:3

Designing pig face recognition App with ResNet50 Model
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摘要 为了帮助养猪场实现猪只精准管理,应用深度学习技术设计了一款猪脸识别APP。利用ResNet50神经网络模型对照片进行训练与预测,并以MUI框架和Django框架为依托开发APP。实验结果表明,在ResNet50模型基础上优化后的网络,对猪的面部照片有着较高的识别率。 In order to help the pig farm to achieve accurate pig management,a pig face recognition App is designed by using deep learning technology in this paper.The ResNet50 neural network model is used to train and predict photos,combining with MUI framework and Django framework,a pig face recognition App is finally realized.The experiment results show that the optimized network based on ResNet50 model has a high recognition rate for pig's facial photos.
作者 冯明强 曹冬颖 李佳妮 Feng Mingqiang;Cao Dongying;Li Jiani(School of Computer Science and Tec hnology,Jilin University,Changchun,Jilin 13000,China)
出处 《计算机时代》 2020年第6期46-50,共5页 Computer Era
关键词 猪脸识别APP ResNet50 深度学习 MUI框架 pig face recognition App ResNet50 deep learning MUI framework
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