{"id":19297153,"url":"https://github.com/4444tensei/kazecaptchaapi","last_synced_at":"2025-04-12T05:36:12.832Z","repository":{"id":261007856,"uuid":"882891756","full_name":"4444TENSEI/KazeCaptchaAPI","owner":"4444TENSEI","description":"自部署验证码识别接口(常规ddddocr+滑块OpenCV)，任何语言任何项目皆可直接发出HTTP请求便捷调用，而无需做复杂集成。实现：1. 通过接口接收POST请求收到验证码图像2. 将验证码图像识别后将结果返回到响应内容中。皆在简化一切验证码识别业务。现在你可以使用任何方式、任何语言实现验证码识别。","archived":false,"fork":false,"pushed_at":"2024-11-04T06:51:11.000Z","size":111,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-26T01:01:49.217Z","etag":null,"topics":["ddddocr","flask","online-verification-code-recognition","opencv","opencv-python","python-script","script","verification","verification-code"],"latest_commit_sha":null,"homepage":"https://vc.uc1.icu","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/4444TENSEI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-04T01:51:03.000Z","updated_at":"2025-02-28T13:40:30.000Z","dependencies_parsed_at":"2024-11-04T07:37:02.936Z","dependency_job_id":null,"html_url":"https://github.com/4444TENSEI/KazeCaptchaAPI","commit_stats":null,"previous_names":["4444tensei/kazecaptchaapi"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/4444TENSEI%2FKazeCaptchaAPI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/4444TENSEI%2FKazeCaptchaAPI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/4444TENSEI%2FKazeCaptchaAPI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/4444TENSEI%2FKazeCaptchaAPI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/4444TENSEI","download_url":"https://codeload.github.com/4444TENSEI/KazeCaptchaAPI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248524812,"owners_count":21118615,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ddddocr","flask","online-verification-code-recognition","opencv","opencv-python","python-script","script","verification","verification-code"],"created_at":"2024-11-09T23:01:18.995Z","updated_at":"2025-04-12T05:36:12.799Z","avatar_url":"https://github.com/4444TENSEI.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg src=\"https://testingcf.jsdelivr.net/gh/4444TENSEI/CDN@master/img/server/readme/KazeCaptchaAPI/003.webp\" alt=\"KazeCryptoAPI\"\r\n    height=\"300\"/\u003e\u003c/p\u003e\r\n\r\n\r\n\u003ch1 style=\"line-height:1;\" align=\"center\"\u003e\u003cb\u003eKazeCaptchaAPI\u003c/b\u003e\u003c/h1\u003e\r\n\u003ch3\u003e\t\t还在手搓图像验证码识别、计算滑块验证码的偏移距离吗？或是说在你所要使用的编程语言不方便调用OpenCV来进行验证码识别操作？不如试试这个项目，部署一个在线识别验证码接口到你的个人服务器上，无论你所使用什么工具，只需发起一个简单的POST请求，携带你自动获取到的验证码图片，即可在你的服务器上远程处理，并响应给你所需要的识别结果。\u003c/h3\u003e\r\n\u003cp align=\"center\"\u003e\u003cp align=\"center\"\u003e\u003cimg src=\"https://img.shields.io/badge/Python-276DC3?style=for-the-badge\u0026logo=python\u0026logoColor=white\" /\u003e\r\n\u003c/p\u003e\r\n\r\n\u003e ## 在线体验（限时开放）：https://vc.uc1.icu\r\n\r\n1. ### 滑块距离识别基于：[opencv-python](https://github.com/opencv/opencv-python)\r\n\r\n2. ### 图像内容识别基于：[ddddocr](https://github.com/sml2h3/ddddocr)\r\n\r\n3. ### 开发框架使用：[Flask](https://github.com/pallets/flask)\r\n\r\n\u003e # 部署\r\n\r\n\u003e ## 开发环境\r\n\r\n### 拉取源码\r\n\r\n```\r\ngit clone https://github.com/4444TENSEI/KazeCaptchaAPI.git\r\n```\r\n\r\n### 安装依赖\r\n\r\n```\r\npip install -r requirements.txt\r\n```\r\n\r\n### 启动\r\n\r\n```\r\npy main.py\r\n```\r\n\r\n##### 默认启动端口号8446，可以在config.ini自行修改，带有几个简单的静态示例页面，服务面板用宝塔比较方便只需简单配置。\r\n\r\n```\r\nhttp://localhost:8446\r\n```\r\n\r\n\u003e ## 部署到服务器\r\n\r\n将源码压缩包保存到服务器后，用某面板几步就操作部署好了。但由于opencv-python包和ddddocr包的依赖较大，网速不好的安装可能需要十分钟左右，这个速度就看你服务器的带宽和地理位置在哪了。\r\n\r\n![](https://testingcf.jsdelivr.net/gh/4444TENSEI/CDN@master/img/server/readme/KazeCaptchaAPI/001.webp)\r\n\r\n\u003e # 接口文档\r\n\r\n- 本地查看：`/docs/swagger.html`\r\n\r\n- 手动导入：将项目目录下的`/docs/swagger.json`导入到你常用的接口测试工具，例如`Apifox`、`Apipost`、`Postman`，格式为`OpenAPI3.0/Swagger`。\r\n\r\n\u003e ## 配置文件\r\n\r\n项目根目录下的`config.ini`，暂时只有3个配置，分别是`Debug开关`、`文件单次上传大小限制（byte）`、`服务运行端口号`。\r\n\r\n```\r\n[app]\r\nDEBUG = True\r\nMAX_CONTENT_LENGTH = 524288\r\nPORT = 8446\r\n```\r\n\r\n\u003e ## 其他实现的功能\r\n\r\n- IP访问日志：自动记录访问者IP与响应结果产生到`./运行日志.log`文件，默认设置为最大5MB和保留7天。需修改则查看`/common/middleware/log.py`。\r\n- 上传大小限制：使用flask自带的`app.config`配置。\r\n- 细分到每一个路由的请求频繁限制：`/common/middleware/frequency.py`，使用方式是在要做限流的接口路由函数上方，参考修改👇\r\n\r\n```\r\n# 导入本地写好的中间件\r\nfrom common.middleware.frequency import kaze_frequency\r\n# 限制同一IP每分钟最多请求20次此路由\r\n@kaze_frequency(\"20 per minute\")\r\n```\r\n\r\n\u003e \r\n\u003e\r\n\u003e ## 测试\r\n\r\n这里有几张图片，保存到设备中，访问[在线体验地址](https://vc.uc1.icu)体验一下纯HTML调用接口实现的验证码识别简单流程，当然更建议自行部署后调自己的接口，毕竟在线体验嘛随时可能趴下。自行部署后在接口测试工具中参照文档发起POST请求试试吧~\r\n\r\n![](common/asset/test_img/captcha_img.png)\r\n\r\n![](common/asset/test_img/slider_bg.png)\r\n\r\n![](common/asset/test_img/slider_piece.png)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F4444tensei%2Fkazecaptchaapi","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F4444tensei%2Fkazecaptchaapi","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F4444tensei%2Fkazecaptchaapi/lists"}