Write code in Python to implement the docking of Baidu face recognition API and realize the facial feature analysis function

Write code in Python to implement the docking of Baidu face recognition API and realize the face feature analysis function

Face recognition technology is one of the popular research directions in the field of computer vision. First, it has extensive applications in areas such as face verification, face search, and face feature analysis. Baidu Face Recognition API is an artificial intelligence service provided by Baidu that can extract and analyze features of faces. This article will introduce how to write code in Python, connect to Baidu face recognition API, and realize facial feature analysis function.

First, we need to register an account on the Baidu AI open platform, create a face recognition application, and obtain the API Key and Secret Key. Then, we use Python's requests module to call the Baidu face recognition API through HTTP requests.

First, we need to import the requests module and base64 module. Among them, the requests module is used to send HTTP requests, and the base64 module is used to base64 encode images.

import requests
import base64

Then, we define a function that reads the image and converts it to a base64-encoded string.

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()

Next, we define a function to call Baidu face recognition API to extract and analyze features of faces.

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")

In the above code, we call the /detect interface of Baidu Face Recognition API, where the image parameter is the base64 encoding of the image, the image_type parameter is the type of the image, and the face_field parameter is the facial feature that needs to be analyzed. In the returned HTTP response, we can obtain facial features such as age, gender, and appearance.

Finally, we define a function to obtain the access_token required to access Baidu Face Recognition API.

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")

In the above code, we call the /oauth/2.0/token interface of Baidu face recognition API, where the client_id parameter is the API Key and the client_secret parameter is the Secret Key. In the returned HTTP response, we can obtain the access_token required to access Baidu Face Recognition API.

Finally, we can call the analyze_face function to analyze the facial features of a picture.

# 替换为你的API Key和Secret Key
api_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)

In the above code, we need to replace "your_api_key" and "your_secret_key" with your own API Key and Secret Key, and replace "face.jpg" with your own face image path.

Through the above code, we can connect to the Baidu face recognition API and realize the facial feature analysis function. I hope this article can help everyone to go smoothly when writing facial recognition code in Python.

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