Image Style Migration System based on Bootstrap-Flask
Bingfeng Seng, Xiaomin Wang · 2024
Aiming at the current problem of single effect and same style for all kinds of style migration, the article develops a style migration system based on VGG-19 model. The system is developed with Flask as the back-end framework and Bootstrap as the front-end framework, combined with a MySQL database, utilizing deep learning technology, using the VGG-19 network model for training, completing the model migration and converting the style image and content image data acquired by JS, realizing the migration of the style of the user-selected image to the specified image, and at the same time, combining with other functions of the system, finally forming a system that integrates multi-user use, knowledge learning, sharing and discussion, as well as online style migration. At the same time, it combines with other functions of the system to form a system platform that integrates multi-user use, knowledge learning, sharing and discussion, online style migration and other functional modules.