使用 Nim 语言识别英文数字验证码

1. 环境准备
   首先，确保你已安装 Nim。可以通过以下命令安装：

bash

curl https://nim-lang.org/choosenim/init.sh -sSf | sh
创建一个新的 Nim 项目：

bash

nimble init captcha_recognizer
cd captcha_recognizer
在 captcha_recognizer.nimble 中添加依赖：

nim

In your nimble file

requires "httpclient", "tesseract", "opencv"
运行以下命令安装依赖：

bash

nimble install httpclient tesseract opencv
2. 下载验证码图片
使用 httpclient 下载验证码图片并保存到本地：

nim

import httpclient, os

proc downloadCaptcha(url: string, savePath: string) =
let response = httpGet(url)
if response.status == Http200:
writeFile(savePath, response.body)
echo "验证码图片已保存为 ", savePath
else:
echo "下载失败: ", response.status
3. 图像处理与 OCR 识别
使用 opencv 和 tesseract 进行图像处理和 OCR 识别：

nim

import opencv, tesseract

proc recognizeCaptcha(imagePath: string): string =
let img = imread(imagePath)
let processedImg = preprocessImage(img) # 自定义图像处理函数
let text = tesseractRecognize(processedImg)
echo "识别结果: ", text
return text

proc preprocessImage(img: Mat): Mat =

可选: 图像处理代码

return img # 返回处理后的图像
4. 自动化登录
使用 httpclient 发送 POST 请求，模拟登录操作：

nim

proc login(username, password, captcha: string) =
let url = "https://captcha7.scrape.center/login"
let body = """
{
"username": """ & username & """,
"password": """ & password & """,
"captcha": """ & captcha & """
}
"""
let response = httpPost(url, body, {"Content-Type": "application/json"})
if response.status == Http200:
echo "登录成功"
else:
echo "登录失败"
5. 主程序
整合上述代码，创建主程序：

nim

proc main() =
let captchaUrl = "https://captcha7.scrape.center/captcha.png"
let captchaPath = "captcha.png"

下载验证码图片

downloadCaptcha(captchaUrl, captchaPath)
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识别验证码

let captchaText = recognizeCaptcha(captchaPath)

模拟登录

login("admin", "admin", captchaText)

main()