使用Python與騰訊雲介面對接，實現即時人臉辨識與活體偵測功能

import requests
import json

url = "https://api.ai.qq.com/fcgi-bin/face/face_detectface"
app_id = "your_app_id"
app_key = "your_app_key"

image_path = "path_to_your_image"

# 将图像文件转换为字节流
image_data = open(image_path, "rb").read()

# 构建请求参数
payload = {
    "app_id": app_id,
    "time_stamp": str(int(time.time())),
    "nonce_str": str(random.randint(1, 10000)),
    "image": base64.b64encode(image_data).decode('utf-8'),
}

# 根据参数构建签名字符串
sign_str = "&".join([f"{k}={payload[k]}" for k in sorted(payload.keys())]) + f"&app_key={app_key}"
payload["sign"] = hashlib.md5(sign_str.encode('utf-8')).hexdigest().upper()

# 发送POST请求
response = requests.post(url, data=payload)

# 解析返回结果
result = json.loads(response.text)

def liveness_detection(image_path):
    face_result = detect_face(image_path)
    if not face_result["data"]["face_list"]:
        print("No face detected.")
        return

    image_data = open(image_path, "rb").read()
    image_base64 = base64.b64encode(image_data).decode("utf-8")

    url = "https://api.ai.qq.com/fcgi-bin/face/face_livedetectfour"
    app_id = "your_app_id"
    app_key = "your_app_key"

    payload = {
        "app_id": app_id,
        "time_stamp": str(int(time.time())),
        "nonce_str": str(random.randint(1, 10000)),
        "image": image_base64,
        "face_id": face_result["data"]["face_list"][0]["face_id"]
    }
    sign_str = "&".join([f"{k}={payload[k]}" for k in sorted(payload.keys())]) + f"&app_key={app_key}"
    payload["sign"] = hashlib.md5(sign_str.encode("utf-8")).hexdigest().upper()

    response = requests.post(url, data=payload)
    result = json.loads(response.text)
    print(result)