opencv-python人脸识别

最新推荐文章于 2023-02-20 22:24:22 发布

原创最新推荐文章于 2023-02-20 22:24:22 发布 · 400 阅读

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本文详细介绍了使用Python和OpenCV进行人脸检测的过程。通过安装OpenCV库并利用级联分类器，实现对图像中的人脸进行定位和绘制矩形框。文章提供了完整的代码示例，包括如何加载级联分类器、读取图像、转换为灰度图像以及应用人脸检测算法。

工具：

C:\Python27>pip install opencv-python
Collecting opencv-python
Downloading https://files.pythonhosted.org/packages/69/61/2ea50ab91bc9b03c85f0cc5e4e421aea6db264991342c86fa667c7fc3ece/opencv_python-3.4.5.20-cp27-cp27m-win32.whl (25.9MB)
100% |████████████████████████████████| 25.9MB 260kB/s
Requirement already satisfied: numpy>=1.11.1 in c:\python27\lib\site-packages (from opencv-python) (1.15.4)
Installing collected packages: opencv-python
Successfully installed opencv-python-3.4.5.20

代码：

#encoding:utf-8
import cv2
import numpy as np


# filename='my.jpg'
imagepath=r"C:\Users\deaokylin\PycharmProjects\pyecharts\opencv\pictures\my.jpg"
path=r'D:\opencv2.4.9\sources\data\haarcascades'


def detect(filename):
   face_cascade = cv2.CascadeClassifier(path+'haarcascade_frontalface_default.xml')
   face_cascade.load(path+'\haarcascade_frontalface_default.xml')

   img = cv2.imread(filename)
   gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
   faces = face_cascade.detectMultiScale(gray,1.3,5)
   for (x,y,w,h) in faces:
      img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),1)
   cv2.namedWindow("vikings detected")
   cv2.imshow("vikings detected",img)
   cv2.waitKey(0)


detect(imagepath)

效果：