Python을 사용하여 Tencent Cloud와 인터페이스하여 얼굴 핵심 포인트 감지 및 인식 기능 구현

pip install tencentcloud-sdk-python

{
  "secret_id": "your_secret_id",
  "secret_key": "your_secret_key"
}

import json
from tencentcloud.common import credential
from tencentcloud.common.profile import client_profile
from tencentcloud.common.profile import http_profile
from tencentcloud.faceid.v20180301 import faceid_client, models

# 读取配置文件中的密钥
with open('config.json', 'r') as f:
    config = json.load(f)
secret_id = config['secret_id']
secret_key = config['secret_key']

# 配置凭证
cred = credential.Credential(secret_id, secret_key)

# 配置http选项
httpProfile = http_profile.HttpProfile()
httpProfile.endpoint = "faceid.tencentcloudapi.com"

# 配置客户端选项
clientProfile = client_profile.ClientProfile()
clientProfile.httpProfile = httpProfile

# 创建人脸识别客户端实例
client = faceid_client.FaceidClient(cred, "", clientProfile)

def detect_face(image):
    # 创建请求参数对象
    req = models.DetectFaceRequest()

    # 设置人脸图片
    params = {
        'Image': image
    }
    req.from_json_string(json.dumps(params))

    # 调用接口
    resp = client.DetectFace(req)

    # 返回结果
    return resp.to_json_string()

def recognize_face(image):
    # 创建请求参数对象
    req = models.IdCardVerificationRequest()

    # 设置人脸图片
    params = {
        'Image': image
    }
    req.from_json_string(json.dumps(params))

    # 调用接口
    resp = client.IdCardVerification(req)

    # 返回结果
    return resp.to_json_string()

# 读取图片文件
with open('face.jpg', 'rb') as f:
    image = f.read()

# 调用人脸关键点检测接口
face_json = detect_face(image)
print(face_json)

# 调用人脸识别接口
result_json = recognize_face(image)
print(result_json)