如何剥离文字点选验证码，保障业务开发不被阻碍

背景

开发的时候，遇到文字点选验证码。不管是接yolo+孪生神经网络，还是接打码平台，可以先把验证码单独独立出来。 通过手动打码的方式，完成程序主要业务逻辑。再去考虑自动过验证码的实现。

代码

import cv2
import base64
import numpy as np

ibigx = []
wordCount = 4  # 假设 wordCount 是 4，可以根据实际情况调整

def mouse_callback(event, x, y, flags, param):
    """验证码大图的回调，用于记录点选位置"""
    global ibigx
    if event == cv2.EVENT_LBUTTONDOWN:
        print(f"点击的像素位置：x轴 {x} y轴 {y}")
        ibigx.append({"x": x, "y": y})
        if len(ibigx) == wordCount:
            print(f"ibigx: {ibigx}")
            cv2.destroyAllWindows()

async def small_selice(small_image, big_image):
    """在这里，不管你是自己实现验证码点选，或者对接打码平台也好
    最终的return必须是四个需要点选的汉字的坐标
    像这样[{"x":289,"y":155},{"x":39,"y":133},{"x":137,"y":23},{"x":193,"y":79}]"""
    global ibigx, wordCount

    # 小验证码彩图
    isma = cv2.imdecode(np.frombuffer(base64.b64decode(small_image), np.uint8), cv2.COLOR_GRAY2RGB)

    # 去根据保存的isma.jpg去依次点击验证码
    cv2.imwrite('isma.jpg', isma)

    ibig = cv2.imdecode(np.frombuffer(base64.b64decode(big_image), np.uint8), cv2.COLOR_GRAY2RGB)
    print("\n\t请根据 isma.jpg 依次点击窗口中的汉字\n")
    ibigx = []
    cv2.imshow('isma.jpg', isma)
    cv2.imshow('Click the characters one by one according to isma.jpg', ibig)
    # 设置鼠标回调函数
    cv2.setMouseCallback('Click the characters one by one according to isma.jpg', mouse_callback)

    # 等待点击
    while len(ibigx) < wordCount:
        cv2.waitKey(1)

    print(ibigx)

    return ibigx