python验证码识别问题请教

Zhili.An

编程区的悬赏不知道怎么设置悬赏价格，所以放到这里；链接为：https://www.52pojie.cn/thread-1636139-1-1.html

freelive

https://cloud.tencent.com/developer/article/1825224

https://www.codeleading.com/article/33504941899/

可以参考看一下细节的地方，会有些优化的效果。

Zhili.An

freelive 发表于 2022-5-15 07:02
https://cloud.tencent.com/developer/article/1825224

https://www.codeleading.com/article/335049418 ...

问题解决了 但我用的不是这个方法

Zhili.An

采用的形状监测

[Python] 纯文本查看 复制代码

#边缘检测
import cv2
import numpy as np

#定义形状检测函数
def ShapeDetection(img):
    contours,hierarchy = cv2.findContours(img,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_NONE)  #寻找轮廓点
    for obj in contours:
        area = cv2.contourArea(obj)  #计算轮廓内区域的面积
        if area>=5:
            cv2.drawContours(imgContour, obj, -1, (255, 0, 0), 4)  #绘制轮廓线
            perimeter = cv2.arcLength(obj,True)  #计算轮廓周长
            approx = cv2.approxPolyDP(obj,0.02*perimeter,True)  #获取轮廓角点坐标
            CornerNum = len(approx)   #轮廓角点的数量
            x, y, w, h = cv2.boundingRect(approx)  #获取坐标值和宽度、高度
            if w>200 and h>200:
                if CornerNum == 4:
                    if w==h:
                        objType= "Square"
                else:objType="N"
                print(str(x)+" "+str(y))
                cv2.rectangle(imgContour,(x,y),(x+w,y+h),(0,0,255),2)  #绘制边界框
                cv2.putText(imgContour,objType,(x+(w//2),y+(h//2)),cv2.FONT_HERSHEY_COMPLEX,0.6,(0,0,0),1)  #绘制文字

oblk = 'backImg.png' #大图
template = cv2.imread(oblk) # 使用灰度图方式加载大图
img_1 = cv2.resize(template,(1000,500))
cv2.imwrite('backImg.png', img_1)
path = 'backImg.png'
img = cv2.imread(path)
imgContour = img.copy()

imgGray = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)  #转灰度图
imgBlur = cv2.GaussianBlur(imgGray,(5,5),1)  #高斯模糊
imgCanny = cv2.Canny(imgBlur,60,60)  #Canny算子边缘检测
ShapeDetection(imgCanny)  #形状检测


cv2.imshow("shape Detection", imgContour)

cv2.waitKey(0)