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laiguixian / repository
中文：这个是架设人脸识别服务的整个的源代码，为了便于理解，已经做了简化处理，删除了各种商业化的技术，你可以自己根据需要加入商业化的技术，比如BS系统部分你可以加入数据库，比如mysql，使用SSM（spring,springmvc,mybatis）框架，springboot，MQ等等，前端比如使用elementui,layui等等，python部分你也可以加入各种东西，总之看需要加入自己需要的东西。模型需要自己去找照片来训练，本来想放上来的，但是文件太大传不了，所以只能你们自己去训练模型，可以用官方的照片集来训练，由于文件数量等问题无法上传，other.rar和tracking.rar都需要自己解压出来。包含一个BS的展示系统（前端：H5，js，jquery，ajax，css，tracking.js等，后台：java+JSP+redis，以webservice提供服务）和提供人脸识别的服务，这个服务使用python开发，基于facenet，这个系统是我多年前（约2018年）自己基于facenet开发的，现在把源代码公开出来，由于暂时没有时间，所以直接公开，未做代码调整和优化，希望对技术传播有所助益。本代码公开纯属技术交流，没有收取任何费用。 English:This is the entire source code for setting up face recognition services.In order to make it easier to understand, we have simplified and deleted various commercialized technologies. You can add commercialized technologies according to your needs. For example, in the BS system, you can add databases, such as mysql, using SSM (spring, springmvc, mybatis) framework, springboot, MQ, etc. in the front end, such as elementui, layui, etc. in the python part, you can also add various things, In short, we need to add what we need.The model needs to find photos to train by yourself. I originally wanted to put them on, but the file is too large to transmit, so you can only train the model by yourself. You can use the official photo collection to train.Due to the number of files and other problems, it is impossible to upload. other.rar and tracking.rar need to extract them by yourselves. It includes a BS system (front-end: H5, JS, jQuery, AJAX, CSS, tracking.js, etc., back-end: java,jsp,redis, etc, which provides services with WebService )and provides face recognition services. This service is developed using Python and based on facenet. This system was developed by myself based on facenet many years ago (about 2018). Now the source code is open. Because there is no time for now, it is directly open, The code has not been adjusted and optimized, and I hope it will be helpful to the dissemination of technology. The disclosure of this code is purely technical exchange, and no fee is charged.
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中文：这个是架设人脸识别服务的整个的源代码，为了便于理解，已经做了简化处理，删除了各种商业化的技术，你可以自己根据需要加入商业化的技术，比如BS系统部分你可以加入数据库，比如mysql，使用SSM（spring,springmvc,mybatis）框架，springboot，MQ等等，前端比如使用elementui,layui等等，python部分你也可以加入各种东西，总之看需要加入自己需要的东西。模型需要自己去找照片来训练，本来想放上来的，但是文件太大传不了，所以只能你们自己去训练模型，可以用官方的照片集来训练，由于文件数量等问题无法上传，other.rar和tracking.rar都需要自己解压出来。包含一个BS的展示系统（前端：H5，js，jquery，ajax，css，tracking.js等，后台：java+JSP+redis，以webservice提供服务）和提供人脸识别的服务，这个服务使用python开发，基于facenet，这个系统是我多年前（约2018年）自己基于facenet开发的，现在把源代码公开出来，由于暂时没有时间，所以直接公开，未做代码调整和优化，希望对技术传播有所助益。本代码公开纯属技术交流，没有收取任何费用。 English:This is the entire source code for setting up face recognition services.In order to make it easier to understand, we have simplified and deleted various commercialized technologies. You can add commercialized technologies according to your needs. For example, in the BS system, you can add databases, such as mysql, using SSM (spring, springmvc, mybatis) framework, springboot, MQ, etc. in the front end, such as elementui, layui, etc. in the python part, you can also add various things, In short, we need to add what we need.The model needs to find photos to train by yourself. I originally wanted to put them on, but the file is too large to transmit, so you can only train the model by yourself. You can use the official photo collection to train.Due to the number of files and other problems, it is impossible to upload. other.rar and tracking.rar need to extract them by yourselves. It includes a BS system (front-end: H5, JS, jQuery, AJAX, CSS, tracking.js, etc., back-end: java,jsp,redis, etc, which provides services with WebService )and provides face recognition services. This service is developed using Python and based on facenet. This system was developed by myself based on facenet many years ago (about 2018). Now the source code is open. Because there is no time for now, it is directly open, The code has not been adjusted and optimized, and I hope it will be helpful to the dissemination of technology. The disclosure of this code is purely technical exchange, and no fee is charged.