环境搭建

需要安装VideoCapture模块，参考这里：https://blog.csdn.net/zhangbinbinz/article/details/78658619

使用方法

Device()

调用一个设备

saveSnapshot()

拍下照片

举例-拍一张照片

from VideoCapture import Device
cam = Device()
cam.saveSnapshot('image.jpg')

举例-持续拍照并进行人脸识别

（人脸识别参考百度AI接口调用）

from VideoCapture import Device
import time, os
import requests
import base64

def get_access_token():
    api_key = ''  #在这里填入自己的key
    secret_key = ''
    url = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + str(api_key) + '&client_secret=' + str(secret_key)

    try:
        res = eval(requests.get(url).text)
        return res['access_token']
    except:
        print("access_token获取失败")
        os.system("pause")


def capture_photo():
    try:
        cam = Device()
        cam.saveSnapshot('image.jpg')
    except:
        print("拍照功能出错")


def search_face(access_token):
    
    face_search = 'https://aip.baidubce.com/rest/2.0/face/v3/search' + '?access_token=' + str(access_token)
    header = {
        'Content-Type':'application/json'
    }
    data = {
        "image_type":"BASE64",
        "group_id_list":"group_1",  #这个要在人脸识别的应用里创建人脸库，并添加相应图片
        #这里弄了几个明星的照片
    }
    with open('image.jpg', 'rb') as f:
        image = base64.b64encode(f.read())
        data["image"] = str(image, 'utf-8')

    try:
        res2 = eval(requests.post(url=face_search, data=data, headers=header).text)
        #转成dict
        print(res2)
        if res2['error_code'] == 110:
            access_token_new = get_access_token()
            return access_token_new

        print("识别结果：", res2["result"]["user_list"][0]["user_id"])
        print("准确率：", res2["result"]["user_list"][0]["score"])
    except:
        pass
        

if __name__ == '__main__':
    access_token = get_access_token()
    access_token_new = ''

    while True:
        capture_photo()
        if access_token_new:  #access_token过期
            access_token = access_token_new
        access_token_new = search_face(access_token)