用Open CV实现人脸识别技术
是自己做的简单的人脸识别技术，自己也在慢慢的摸索和学习
Spyder软件运行环境需要Python3.7以上版本
casc_path那里需要改变自己电脑图片路径，适合入门~

import cv2
casc_path = "D:\\ProgramData\\Anaconda3\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(casc_path)
imagename = cv2.imread("media\\person3.jpg")
faces = faceCascade.detectMultiScale(imagename, scaleFactor=1.1, minNeighbors=5, minSize=(30,30), flags = cv2.CASCADE_SCALE_IMAGE)
#imagename.shape[0]:图片高度，imagename.shape[1]:图片宽度
cv2.rectangle(imagename, (10,imagename.shape[0]-20), (110,imagename.shape[0]), (0,0,0), -1)
cv2.putText(imagename,"Find " + str(len(faces)) + " face!", (10,imagename.shape[0]-5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255,255,255), 2)
for (x,y,w,h) in faces:
    cv2.rectangle(imagename,(x,y),(x+w, y+h),(128,255,0),2)
cv2.namedWindow("facedetect")
cv2.imshow("facedetect", imagename)
cv2.waitKey(0)  
cv2.destroyWindow("facedetect")
程序运行最终结果图：

用Open CV实现人脸识别技术
是自己做的简单的人脸识别技术，自己也在慢慢的摸索和学习
Spyder软件运行环境需要Python3.7以上版本
casc_path那里需要改变自己电脑图片路径，适合入门~

import cv2
casc_path = "D:\\ProgramData\\Anaconda3\\Lib\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(casc_path)
imagename = cv2.imread("media\\person3.jpg")
faces = faceCascade.detectMultiScale(imagename, scaleFactor=1.1, minNeighbors=5, minSize=(30,30), flags = cv2.CASCADE_SCALE_IMAGE)
#imagename.shape[0]:图片高度，imagename.shape[1]:图片宽度
cv2.rectangle(imagename, (10,imagename.shape[0]-20), (110,imagename.shape[0]), (0,0,0), -1)
cv2.putText(imagename,"Find " + str(len(faces)) + " face!", (10,imagename.shape[0]-5), cv2.FONT_HERSHEY_SIMPLEX, 0.5, (255,255,255), 2)
for (x,y,w,h) in faces:
    cv2.rectangle(imagename,(x,y),(x+w, y+h),(128,255,0),2)
cv2.namedWindow("facedetect")
cv2.imshow("facedetect", imagename)
cv2.waitKey(0)  
cv2.destroyWindow("facedetect")
程序运行最终结果图：