Design And Implementation Of Automatic Image Feature Access System Based On Python

With the development of artificial intelligence,image search technology based on deep learning has gradually become the mainstream.Major search engines have launched image search services,such as Baidu map and Google's map search.In the common image search service,a very important part is to extract the corresponding image feature information according to the needs.Apart from traditional colors,grayscale,size and labels,AI researchers pay more attention to the depth feature information of pictures.Researchers are able to build mathematical modeling,build different depth models,understand picture information from different angles to meet different needs,which makes each picture need a variety of models to calculate the corresponding depth characteristics,and how to make the process of extracting different depth features based on different models can be integrated.Once and efficiently,it becomes a challenging and very practical issue.This paper introduces the design and implementation of an automatic image feature access system based on Python.The system is divided into three subsystems:ElasticSearch(hereinafter referred to as ES)scanning and writing subsystem,distributed image download subsystem and feature extraction subsystem.The three subsystems are logically decoupled through the Kafka distributed message queue.The ES scanning and writing subsystem focuses on the need to efficiently search and write to the ES server;the distributed image download subsystem focuses on the need to solve the downloading and preprocessing of large-scale image data;the feature extraction subsystem is the core system that focuses on the need to efficiently extract the required features from the picture data.The three systems jointly form a task automatically from ES,download the corresponding picture data and extract the corresponding features.Finally,the feature data is returned to the data closed loop in the ES.The whole system has realized full automatic control without human intervention.The system uses the idea of software engineering to complete the whole work from the design to the realization.In the article,the system requirements analysis,the outline design,the detailed design,the realization method,the test and the deployment are introduced in accordance with the sequence of the proj ect,and the further improvement direction of the system is put forward.