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)