Research And Implementation Of Online Photo Printing Platform

At present,smartphones have penetrated into all aspects of people's lives,and they have gradually played an increasingly important role in people's food,clothing,housing and transportation.At present,the functions of smart phones are becoming more and more powerful,not only can take high-resolution photos but also Ability to store hundreds or thousands of photos.Electronic photos have unique advantages in transmission and processing.There are still many users who want to print photos as a permanent commemoration.Flushing photos in traditional photo studios is time consuming,inefficient,and expensive.More and more users are now looking to book photos and process photos online.This paper proposes and implements an online photo printing platform for users'needs,providing users with the function of online photo booking and combining the machine learning related algorithms to provide users with image processing functions.The system is based on the secondary development of WeChat public platform,combined with the theory of machine learning related technology to form an online intelligent picture community platform.The system can be divided into three modules,namely photo shopping cart module,image processing module and background data management module.This paper will elaborate from the requirements analysis and mining of the whole system to the technical research comparison and the overall design implementation.This paper first studies related technologies,and deeply studies the overall process and implementation methods of WeChat development and compares several common Python back-end Web frameworks,and uses Tornado asynchronous non-blocking framework as the framework of the whole system.In the aspect of data storage,through the research and comparison of database technology,the combination of MySql and Redis is used to store data.The functional interface part adopts the JS-SDK interface and the traditional front-end development technology.The components in the interface are laid out by JQuery Weui.The image processing module is divided into four parts:image quality evaluation,image black and white conversion,face recognition and image style migration.It is implemented by Laplacian variance algorithm and convolutional neural network.Next,a detailed introduction was made to the design and implementation of the entire system business part,and the system was tested using the official test tools provided by WeChat.Finally,the online photo printing platform was summarized and forecasted.