import cv2

# 读取待检测的图像
image = cv2.imread("1.jpg")

# 获取 XML 文件，加载人脸检测器
faceCascade = cv2.CascadeClassifier("cascade.xml")

# 色彩转换，转换为灰度图像
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# 调用函数 detectMultiScale
faces = faceCascade.detectMultiScale(gray, scaleFactor=1.15, minNeighbors=5, minSize=(5, 5))

# print(faces)
# 打印输出的测试结果
print("发现{0}个人脸!".format(len(faces)))

# 逐个标注人脸
for x, y, w, h in faces:
    cv2.rectangle(image, (x, y), (x + w, y + w), (0, 255, 0), 2)  # 矩形标注
    # cv2.circle(image,(int((x+x+w)/2),int((y+y+h)/2)),int(w/2),(0,255,0),2)

# 显示结果
cv2.imshow("dect", image)
# 保存检测结果
cv2.imwrite("re.jpg", image)
cv2.waitKey(0)
cv2.destroyAllWindows()