Age And Gender Recognition Useing Python

import cv2

faceProto = 'opencv_face_detector.pbtxt'
faceModel = 'opencv_face_detector_uint8.pb'

ageProto = 'age_deploy.prototxt'
ageModel = 'age_net.caffemodel'

genderProto = 'gender_deploy.prototxt'
genderModel = 'gender_net.caffemodel'

faceNet = cv2.dnn.readNet(faceModel, faceProto)
ageNet = cv2.dnn.readNet(ageModel, ageProto)
genderNet = cv2.dnn.readNet(genderModel, genderProto)

ageList = ['(0-2)', '(4-6)', '(8-12)', '(15-20)', '(25-32)', '(38-43)', '(48-53)', '(60-100)']
genderList = ['Male', 'Female']
MODEL_MEAN_VALUES = (78.4263377603, 87.7689143744, 114.895847746)

def faceBox(faceNet, frame):
    frameWidth = frame.shape[1]
    frameHeight = frame.shape[0]

    blob = cv2.dnn.blobFromImage(frame, 1.0, (227, 227), [104, 117, 123], swapRB = False)
    faceNet.setInput(blob)
    detection = faceNet.forward()
    #print(detection.shape)
    bboxs = []

    for i in range(detection.shape[2]):
        confidence = detection[0,0,i,2]
        if confidence > 0.7:
            x1 = int(detection[0,0,i,3] * frameWidth)
            y1 = int(detection[0,0,i,4] * frameHeight)

            x2 = int(detection[0,0,i,5] * frameWidth)
            y2 = int(detection[0,0,i,6] * frameHeight)

            bboxs.append([x1, y1, x2, y2])
            cv2.rectangle(frame, (x1, y1), (x2, y2), (0, 255, 0), 1)
    return frame, bboxs

from cProfile import label
padding = 20

video = cv2.VideoCapture(0)
while True:
    ret, frame = video.read()
    frame, bboxs = faceBox(faceNet, frame)

    for bbox in bboxs:
        #face = frame[bbox[1]:bbox[3], bbox[0]:bbox[2]]
        face = frame[max(0,bbox[1]-padding):min(bbox[3]+padding,frame.shape[0]-1),max(0,bbox[0]-padding):min(bbox[2]+padding, frame.shape[1]-1)]
        blob = cv2.dnn.blobFromImage(face, 1.0, (227, 227), MODEL_MEAN_VALUES, swapRB = False)
        genderNet.setInput(blob)
        genderPred = genderNet.forward()
        gender = genderList[genderPred[0].argmax()]


        ageNet.setInput(blob)
        agePred = ageNet.forward()
        age = ageList[agePred[0].argmax()]


        label = "{},{}".format(gender, age)
        #cv2.rectangle(frame, (bbox[0], bbox[1]-30), (bbox[2], bbox[1]), (0,255, 255), -1)
        cv2.putText(frame, label, (bbox[0], bbox[1]-10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 0, 255), 2, cv2.LINE_AA)



    cv2.imshow('Ang & Gender Recognition', frame)
    k = cv2.waitKey(1)

    if k == ord('q'):
        break

video.release()
cv2.destroyAllWindows()