Python编写代码实现百度人脸识别API的对接，实现人脸特征分析功能

import requestsimport base64

def get_image_base64(image_path):    with open(image_path, 'rb') as f:        image_data = f.read()    base64_data = base64.b64encode(image_data)    return base64_data.decode()

def analyze_face(image_path, api_key, secret_key):    # 获取图片的base64编码    image_base64 = get_image_base64(image_path)    # 构造HTTP请求头    headers = {        "Content-Type": "application/json"    }    # 构造HTTP请求体    data = {        "image": image_base64,        "image_type": "BASE64",        "face_field": "age,gender,beauty"    }    # 构造HTTP请求参数    params = {        "access_token": get_access_token(api_key, secret_key)    }    # 发送HTTP POST请求    response = requests.post(        "https://aip.baidubce.com/rest/2.0/face/v3/detect",        params=params,        headers=headers,        json=data    )    # 解析HTTP响应    result = response.json()    # 处理人脸特征分析结果    if "result" in result:        face_list = result["result"]["face_list"]        for face in face_list:            age = face["age"]            gender = face["gender"]["type"]            beauty = face["beauty"]            print("年龄：", age)            print("性别：", "女性" if gender == "female" else "男性")            print("颜值：", beauty)    else:        print("人脸特征分析失败")

def get_access_token(api_key, secret_key):    # 构造HTTP请求参数    params = {        "grant_type": "client_credentials",        "client_id": api_key,        "client_secret": secret_key    }    # 发送HTTP GET请求    response = requests.get(        "https://aip.baidubce.com/oauth/2.0/token",        params=params    )    # 解析HTTP响应    result = response.json()    # 处理获取access_token结果    if "access_token" in result:        access_token = result["access_token"]        return access_token    else:        print("获取access_token失败")

# 替换为你的API Key和Secret Keyapi_key = "your_api_key"secret_key = "your_secret_key"# 人脸特征分析的图片路径image_path = "face.jpg"# 调用analyze_face函数，分析人脸特征analyze_face(image_path, api_key, secret_key)