import cv2def FaceFind(imgPath: str) -> list:image = cv2.imread(imgPath)gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')# 返回人脸坐标列表faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))# 保存图片# for (x, y, w, h) in faces:#    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 3)#    cv2.imwrite('face.jpg', image)return facesdef ApplyMosaic(ImagePath: str, BoxList: list):# 加载原始图像image = cv2.imread(ImagePath)# 马赛克坐标for box in BoxList:(x, y, w, h) = box# 从原始图片中获取马赛克图片位置roi = image[y:y + h, x:x + w]# 马赛克块大小 10x10roi_small = cv2.resize(roi, (10, 10), interpolation=cv2.INTER_LINEAR)roi_back = cv2.resize(roi_small, (w, h), interpolation=cv2.INTER_NEAREST)image[y:y + h, x:x + w] = roi_backcv2.imwrite('output_image.jpg', image)def main():# 图片路径ImagePath = "img_2.png"# 马赛克应用的区域BoxList = FaceFind(ImagePath)ApplyMosaic(ImagePath, BoxList)if __name__ == '__main__':main()

效果: