python:opencv之人脸识别

模型准备

https://github.com/opencv/opencv/tree/master/data/haarcascades

# -*- coding: utf-8 -*-
# 开发团队				:UoS金鑫钢开发团队
# 开发团队领导			:wanson
# 开发人员姓名			:wanson
# 开发人员学号/工号		:10379
# 个人/公司邮箱		    :wanson@ahszu.edu.cn
# 开发时间				:2020-8-22  20:22 
# 文件名称				:ex01.py
# 开发工具				:PyCharm
# 开发系统当前用户		:Wanson 
# 引入库
import cv2
import numpy

#
cap = cv2.VideoCapture(0)  # 调整参数实现读取视频或调用摄像头
while 1:
    # 读取内容
    ret, frame = cap.read()
    cv2.namedWindow("input video", cv2.WINDOW_AUTOSIZE)
    cv2.imshow("input video", frame)

    # 人脸识别代码
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    face_detector = cv2.CascadeClassifier("D:/python_project/opencv4/ch00/haarcascade_frontalface_alt_tree.xml")
    eye_detector = cv2.CascadeClassifier("D:/python_project/opencv4/ch00/haarcascade_eye.xml")
    eyeglasses_detector = cv2.CascadeClassifier("D:/python_project/opencv4/ch00/haarcascade_eye_tree_eyeglasses.xml")
    #      检测人脸
    faces = face_detector.detectMultiScale(gray, 1.02, 2)
    for x, y, w, h in faces:
        # 蓝色
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 5)
    #     检测人眼
    eye = eye_detector.detectMultiScale(gray, 2, 2)
    for x, y, w, h in faces:
        # 绿色
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)
    #     检测眼镜
    eyeglasses = eyeglasses_detector.detectMultiScale(gray, 1.02, 2)
    for x, y, w, h in faces:
        # 红色
        cv2.rectangle(frame, (x, y), (x + w, y + h), (255, 0, 0), 3)
    cv2.imshow("result", frame)
    cv2.namedWindow("result", cv2.WINDOW_AUTOSIZE)
    # 人脸识别代码

    # 随时退出按q键 英文状态下
    if cv2.waitKey(100) & 0xff == ord('q'):
        break
#  停止调用，关闭窗口
cap.release()
cv2.destroyAllWindows()