人脸检测并对ROI区域截图存储

直接给完整代码：

# !/usr/bin/env python
# _*_ coding: utf-8 _*_

import cv2
import numpy as np

faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')  #镜像库

cap = cv2.VideoCapture(0)
i = 0

while (1):
    # get a frame
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)  # cv2.COLOR_BGR2GRAY
    faces = faceCascade.detectMultiScale(
        gray,

        scaleFactor=1.2,
        minNeighbors=5
        ,
        minSize=(20, 20)
    )

    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 2)
        roi_gray = gray[y:y + h, x:x + w]
        roi_color = frame[y:y + h, x:x + w]

    # show a frame
    cv2.imshow("capture", frame)
    if cv2.waitKey(20) & 0xFF == ord('q'):
        i += 1
        st = 'test' + str(i) + '.jpg'
        print(st)
        cv2.imwrite(st, roi_gray)
    elif cv2.waitKey(100) & 0xFF == ord('p'):
        break


cap.release()
cv2.destroyAllWindows()

镜像库文件下载

链接：https://pan.baidu.com/s/12lMRswWiO73PzMntnp0PGg 
提取码：f5ps

效果展示：

原图 

 截图