OpenCv 从零开始第八天笔记 人脸贴画

先读取图片，之后进行灰度处理，

除4得到小号五角星，将五角星白色部分隔离，

白色条件大于200（这里）

import cv2
if __name__ == '__main__':
    img=cv2.imread('./1927su.jpg')
    gray=cv2.cvtColor(img,code=cv2.COLOR_BGR2GRAY)
    face_detector=cv2.CascadeClassifier('./haarcascade_frontalface_alt.xml')
    faces=face_detector.detectMultiScale(gray,scaleFactor=1.05,minNeighbors=4)
    star= cv2.imread('./star.jpg')
    for x,y,w,h in faces:
        star_s=cv2.resize(star,(w//4,h//4)) #小号五角星
        h1=h//4
        w1=w//4
        d=3*w//8
        for i in range(h1):
            for j in range(w1):
                if not (star_s[i,j]>200).all():#白色
                    img[i+y,j+x+d]=star_s[i,j]
    cv2.imshow('face',img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

 多人的人脸图片贴图也不是问题

import cv2
if __name__ == '__main__':
    img=cv2.imread('./123.jpg')
    gray=cv2.cvtColor(img,code=cv2.COLOR_BGR2GRAY)
    face_detector=cv2.CascadeClassifier('./haarcascade_frontalface_alt.xml')
    faces=face_detector.detectMultiScale(gray,scaleFactor=1.05,minNeighbors=4)
    star= cv2.imread('./star.jpg')
    for x,y,w,h in faces:
        star_s=cv2.resize(star,(w//4,h//4)) #小号五角星
        h1=h//4
        w1=w//4
        d=3*w//8
        for i in range(h1):
            for j in range(w1):
                if not (star_s[i,j]>200).all():#白色
                    img[i+y,j+x+d]=star_s[i,j]
    cv2.imshow('face',img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()