静态图片人脸识别 框出

[python]代码库

import cv2

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#  https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml

def detect_faces(image):
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
    return faces

def main():
    image = cv2.imread('test.jpg')
    faces = detect_faces(image)

    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)

    cv2.imshow('Faces Detected', image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

if __name__ == '__main__':
    main()

[代码运行效果截图]