使用Python与腾讯云接口对接，实现人脸关键点检测与比对功能

pip install -U tencentcloud-sdk-python

from tencentcloud.common import credentialfrom tencentcloud.common.profile.client_profile import ClientProfilefrom tencentcloud.common.profile.http_profile import HttpProfilefrom tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKExceptionfrom tencentcloud.fmu.v20191213 import fmu_client, models# 配置客户端httpProfile = HttpProfile()httpProfile.endpoint = "fmu.tencentcloudapi.com"# 密钥信息cred = credential.Credential("your-secret-id", "your-secret-key")clientProfile = ClientProfile()clientProfile.httpProfile = httpProfileclient = fmu_client.FmuClient(cred, "ap-guangzhou", clientProfile)

def detect_face(image_path):    try:        # 读取图片        with open(image_path, "rb") as f:            image_data = f.read()            f.close()        # 构建请求        req = models.DetectFaceRequest()        params = {            "Image": {                "ImageBase64": base64.b64encode(image_data).decode("utf-8")            },            "Url": ""        }        req.from_json_string(json.dumps(params))        # 发送请求并解析结果        resp = client.DetectFace(req)        face_infos = json.loads(resp.to_json_string())["FaceInfos"]        for face_info in face_infos:            # 获取关键点坐标            landmarks = face_info["Landmarks"]            for landmark in landmarks:                x = landmark["X"]                y = landmark["Y"]                print("关键点坐标：({},{})".format(x, y))    except TencentCloudSDKException as err:        print(err)

def face_match(image_path1, image_path2):    try:        # 读取图片1        with open(image_path1, "rb") as f1:            image_data1 = f1.read()            f1.close()        # 读取图片2        with open(image_path2, "rb") as f2:            image_data2 = f2.read()            f2.close()        # 构建请求        req = models.CompareFaceRequest()        params = {            "ImageA": base64.b64encode(image_data1).decode("utf-8"),            "ImageB": base64.b64encode(image_data2).decode("utf-8")        }        req.from_json_string(json.dumps(params))        # 发送请求并解析结果        resp = client.CompareFace(req)        similarity = json.loads(resp.to_json_string())["Score"]        print("人脸相似度为：{}%".format(similarity))    except TencentCloudSDKException as err:        print(err)