基于深度学习的口红识别器的设计与实现
Design and Implementation of Lipstick Recognizer
Based on Deep Learning
摘 要
未识别的网络随着科学技术的不断发展，深度学习已经在不同的领域为人类提供更好地服务。因此，本论文将科学技术与生活联系起来，实现基于深度学习的口红识别器。通过了解现阶段深度学习的研究现状，以及对卷积神经网络的分析，应用了目标检测算法作为本系统的核心算法，使用了Vue.js作为框架，结合MySQL数据库，实现了该系统的开发。
关键词： 口红识别；深度学习；目标检测；Vue.js
Abstract
Deep learning in different aspects to provide high-quality services for human beings, under the development of science and technology. Therefore, this thesis connects science and tec
hnology with life, and implements a lipstick recognizer based on deep learning. Application of target detection algorithm as the core algorithm of the system, and Vue.js is used as the framework. By understanding the current state of deep learning research and analysis of convolutional neural networks, combined with the MySQL database, the system is developed.
Key words： Lipstick recognition；Deep Learning；Target Detection；Vue.js