opencv-python摄像头实时检测人脸和眼部

实现比较简单，直接上代码

import cv2

def main():
    # 加载人脸检测联级文件
    face_detect = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    # 加载眼部检测联级文件
    eye_detect = cv2.CascadeClassifier('haarcascade_eye.xml')

    # 打开摄像头
    camera = cv2.VideoCapture(0)

    while(True):
        # 从摄像头读取图片
        ret, image = camera.read()
        if not ret:
            print('failed to read camera data.')
            break

        # BRG转灰度图
        image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

        # 检测人脸
        faces = face_detect.detectMultiScale(image_gray, scaleFactor=1.15, minNeighbors=5, minSize=(5, 5))
        for (x, y, width, height) in faces:
            # 根据检测结果绘制矩形框
            cv2.rectangle(image, (x, y), (x + width, y + height), (255, 0, 0), 2)

        # 检测眼睛
        eyes = eye_detect.detectMultiScale(image_gray, scaleFactor=2.50, minNeighbors=5, minSize=(5, 5))
        for (x, y, width, height) in eyes:
            # 根据检测结果绘制矩形框
            cv2.rectangle(image, (x, y), (x + width, y + height), (255, 0, 0), 2)

        # 显示图片
        cv2.imshow('Face And Eye Detect', image)

        # 捕捉按键，如果是Q退出
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    # 释放摄像头
    camera.release()

    # 销毁窗口
    cv2.destroyAllWindows()

if __name__ == '__main__':
    main()

效果图

Baby

备注

上述代码用到的联级文件可以在Pyhton安装目录下搜索到，比如Mac OS下Pyhton 3.6的路径 /Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/cv2/data，前提是已经安装了opencv-python。

如何安装opencv-python?

pip3 install opencv-python

或者参考 https://pypi.org/project/opencv-python/