OpenCV中的摄像头人脸检测

最新推荐文章于 2022-07-17 18:27:59 发布

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最新推荐文章于 2022-07-17 18:27:59 发布

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文章标签： opencv 人脸识别计算机视觉图像识别 python

本文链接：https://blog.youkuaiyun.com/remakeprogramer/article/details/113902615

OpenCV中的摄像头人脸检测

代码实现：

import cv2
import os
import numpy as np
import matplotlib.pyplot as plt
import cv2 as cv
from PIL import Image
import pytesseract as test
#摄像头人脸检测
def face_detect(img):
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    # 加载分类器
    faces_cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt_tree.xml")
    eyes_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")
    # detectMultiScale()第三个参数数值越大，检测错误率越低，但需要图像足够清晰，若不够清晰可能检测失败
    faces = faces_cascade.detectMultiScale(gray, 1.02, 2)
    eyes = eyes_cascade.detectMultiScale(gray, 1.02, 25)
    for x, y, w, h in faces:
        img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)

    for x, y, w, h in eyes:
        img = cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)

    cv2.namedWindow('face', cv2.WINDOW_AUTOSIZE)
    cv2.imshow('face', img)
    cv2.waitKey(10)

capture = cv2.VideoCapture(0)
while True:
    ret,frame = capture.read()
    frame = cv2.flip(frame,1)
    face_detect(frame)