opencv实现人脸识别（四） 人脸识别模块

到这一步就是进行人脸识别了。

流程图：

代码：

import cv2

def recognize(cam):

    recognizer = cv2.face.LBPHFaceRecognizer_create()

    recognizer.read('face_trainer/trainer.yml')

    cascadePath = "haarcascade_frontalface_default.xml"

    faceCascade = cv2.CascadeClassifier(cascadePath)

    # 字体

    font = cv2.FONT_HERSHEY_DUPLEX

    names = ['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:

            break

    cam.release()

    cv2.destroyAllWindows()

if __name__ == '__main__':

    cam = cv2.VideoCapture(0)

    recognize(cam)