OpenCV检测性别年龄

软硬兼环境

• windows 10 64bit
• anaconda with python 3.7
• nivdia gtx 1066
• opencv 4.2.0

原理

分别使用人脸、性别、年龄模型，使用 opencv 中的 dnn 模块来预测图片或者视频中人物的性别和年龄。模型已经打包好了，自行下载

百度盘链接：https://pan.baidu.com/s/15-BrzjKyv1Jh4kpMsPLo-g ，提取码：hyn2

代码示例

import cv2
import argparse

# 获取脸部位置
def getFaceBox(net, frame, conf_threshold=0.7):
    frameOpencvDnn = frame.copy()
    frameHeight = frameOpencvDnn.shape[0]
    frameWidth = frameOpencvDnn.shape[1]
    blob = cv2.dnn.blobFromImage(frameOpencvDnn, 1.0, (300, 300), [104, 117, 123], True, False)

    net.setInput(blob)
    detections = net.forward()
    bboxes = []
    for i in range(detections.shape[2]):
        confidence = detections[0, 0, i, 2]
        if confidence > conf_threshold:
            x1 = int(detections[0, 0, i, 3] * frameWidth)
            y1 = int(detections[0, 0, i, 4] * frameHeight)
            x2 = int(detections[0, 0, i, 5] * frameWidth)
            y2 = int(detections[0, 0, i, 6] * frameHeight)
            bboxes.append([x1, y1, x2, y2])
            cv2.rectangle(frameOpencvDnn, (x1, y1), (x2, y2), (0, 255, 0), int(round(frameHeight / 150)), 8)
    return frameOpencvDnn, bboxes

parser = argparse.ArgumentParser(description='Use this script to run age and gender recognition using OpenCV.')
parser.add_argument('--input',
                    help='Path to input image or video file. Skip this argument to capture frames from a camera.')

args = parser.parse_args()

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"

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

# 使用opencv中的dnn模块，分别加载3个模型
ageNet = cv2.dnn.readNet(ageModel, ageProto)
genderNet = cv2.dnn.readNet(genderModel, genderProto)
faceNet = cv2.dnn.readNet(faceModel, faceProto)

cap = cv2.VideoCapture(args.input if args.input else 0)
padding = 20
while cv2.waitKey(1) < 0:
    hasFrame, frame = cap.read()
    if not hasFrame:
        cv2.waitKey()
        break

    frameFace, bboxes = getFaceBox(faceNet, frame)
    if not bboxes:
        print("No face.")
        continue

    for bbox in bboxes:
        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)]

        # 预处理
        blob = cv2.dnn.blobFromImage(face, 1.0, (227, 227), MODEL_MEAN_VALUES, swapRB=False)
        genderNet.setInput(blob)
        genderPreds = genderNet.forward()
        gender = genderList[genderPreds[0].argmax()]
        print("Gender : {}, conf = {:.3f}".format(gender, genderPreds[0].max()))

        ageNet.setInput(blob)
        agePreds = ageNet.forward()
        age = ageList[agePreds[0].argmax()]
        print("Age Output : {}".format(agePreds))
        print("Age : {}, conf = {:.3f}".format(age, agePreds[0].max()))

        label = "{},{}".format(gender, age)
        cv2.putText(frameFace, label, (bbox[0], bbox[1] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.8, (0, 255, 255), 2,
                    cv2.LINE_AA)
        cv2.imshow("Age and Gender", frameFace)

执行上述代码，使用 usb cam

python demo.py

OpenCV教程

https://xugaoxiang.com/category/ai/opencv/