到這一步就是進行人臉識別了。

流程圖：

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代碼：

import cv2def recognize(cam):recognizer = cv2.face.LBPHFaceRecognizer_create()recognizer.read('face_trainer/trainer.yml')cascadePath = "haarcascade_frontalface_default.xml"faceCascade = cv2.CascadeClassifier(cascadePath)# 字體font = cv2.FONT_HERSHEY_DUPLEXnames = ['zhiqiang', 'jiayu', 'jinze']cam = cv2.VideoCapture(0)minW = 0.1*cam.get(3)minH = 0.1*cam.get(4)while True:ret, img = cam.read()gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)faces = faceCascade.detectMultiScale(gray,scaleFactor=1.2,minNeighbors=5,minSize=(int(minW), int(minH)))for (x, y, w, h) in faces:cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)idnum, confidence = recognizer.predict(gray[y:y+h, x:x+w])print(idnum)if confidence < 100:idnum = names[idnum]confidence = "{0}%".format(round(100 - confidence))else:idnum = "unknown"confidence = "{0}%".format(round(100 - confidence))cv2.putText(img, str(idnum), (x+5, y-5), font, 1, (0, 0, 255), 1)cv2.putText(img, str(confidence), (x+5, y+h-5), font, 1, (0, 0, 0), 1)cv2.imshow('camera', img)k = cv2.waitKey(10)if k == 27:breakcam.release()cv2.destroyAllWindows()if __name__ == '__main__':cam = cv2.VideoCapture(0)recognize(cam)

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轉載于:https://www.cnblogs.com/blsx/p/11272599.html

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