Opencv:视频中人脸检测并保存人脸图片

# OpenCV版本的视频检测
import cv2

# 图片识别方法封装
def discern(img):
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    cap = cv2.CascadeClassifier(
        "C:\Python36\Lib\site-packages\opencv-master\data\haarcascades\haarcascade_frontalface_default.xml"
    )
    faceRects = cap.detectMultiScale(
        gray, scaleFactor=1.2, minNeighbors=3, minSize=(50, 50))
    if len(faceRects):
        for faceRect in faceRects:
            x, y, w, h = faceRect
            cv2.rectangle(img, (x, y), (x + h, y + w), (0, 255, 0), 2)  # 框出人脸
    cv2.imshow("Image", img)

# 获取摄像头0表示第一个摄像头
cap = cv2.VideoCapture(0)
while (1):  # 逐帧显示
    ret, img = cap.read()
    # cv2.imshow("Image", img)
    discern(img)
    if cv2.waitKey(1) & 0xFF == ord(‘q‘):
        break
cap.release()  # 释放摄像头
cv2.destroyAllWindows()  # 释放窗口资源
 

原文地址：https://www.cnblogs.com/jumpkin1122/p/11509788.html