使用Python与腾讯云接口对接，实现实时人脸检测与情绪分析功能

import requestsimport base64def detect_face(image_path):    # 首先，我们需要将图片转换为 base64 编码的字符串    with open(image_path, 'rb') as f:        image_data = f.read()        image_base64 = base64.b64encode(image_data).decode('utf-8')    # 构造请求的 URL    url = 'https://api.ai.qq.com/fcgi-bin/face/face_detectface'    # 准备请求的参数    params = {        'app_id': '你的AppID',        'image': image_base64,        'mode': 1    }    # 发送POST请求    response = requests.post(url, data=params)    # 解析响应结果    result = response.json()    if result['ret'] == 0:        face_list = result['data']['face_list']        for face in face_list:            # 输出人脸位置信息            print('人脸位置：左上角({},{})，宽度：{}，高度：{}'.format(                face['x'], face['y'], face['width'], face['height']))    else:        print('人脸检测失败：{}'.format(result['msg']))def analyze_emotion(image_path):    # 同样，我们先将图片转换为 base64 编码的字符串    with open(image_path, 'rb') as f:        image_data = f.read()        image_base64 = base64.b64encode(image_data).decode('utf-8')    # 构造请求的 URL    url = 'https://api.ai.qq.com/fcgi-bin/face/face_detectface'    # 准备请求的参数    params = {        'app_id': '你的AppID',        'image': image_base64,        'mode': 1    }    # 发送POST请求    response = requests.post(url, data=params)    # 解析响应结果    result = response.json()    if result['ret'] == 0:        face_list = result['data']['face_list']        for face in face_list:            # 输出情绪分析结果            emotion = face['face_expression']            print('人脸情绪分析结果：{}'.format(emotion))    else:        print('情绪分析失败：{}'.format(result['msg']))# 调用人脸检测函数image_path = 'test.jpg'detect_face(image_path)# 调用情绪分析函数analyze_emotion(image_path)