Python calls Baidu face recognition API to implement face recognition function

Python calls Baidu face recognition API to implement face recognition function

With the rapid development of artificial intelligence, face recognition technology has been widely used in various fields. Baidu Face Recognition API is an open face recognition service that provides powerful face detection, face comparison and other functions, and provides developers with a convenient interface.

This article will introduce how to use Python to call Baidu face recognition API to implement face recognition function. First, we need to register a Baidu Cloud account and create a face recognition application, and obtain the API Key and Secret Key. Next, we need to install the Python SDK provided by Baidu AI Open Platform.

First, we need to install the baidu-aip library, which can be installed through the following command:

pip install baidu-aip

After the installation is completed, we can use the following code to call Baidu face recognition API:

from aip import AipFace

# 设置API Key和Secret Key
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

# 创建AipFace对象
client = AipFace(APP_ID, API_KEY, SECRET_KEY)

# 定义图片路径
image_path = 'path_to_your_image'

# 读取图片
def get_file_content(file):
    with open(file, 'rb') as f:
        return f.read()

# 调用人脸检测接口
def face_detection(image):
    image_base64 = base64.b64encode(image)
    result = client.detect(image_base64)
    return result

# 调用人脸比对接口
def face_comparison(image1, image2):
    image1_base64 = base64.b64encode(image1)
    image2_base64 = base64.b64encode(image2)
    result = client.match([image1_base64, image2_base64])
    return result

# 图片路径
image1_path = 'path_to_image1'
image2_path = 'path_to_image2'

# 读取图片内容
image1 = get_file_content(image1_path)
image2 = get_file_content(image2_path)

# 人脸检测
detection_result = face_detection(image1)
print('人脸检测结果：', detection_result)

# 人脸比对
comparison_result= face_comparison(image1, image2)
print('人脸比对结果：', comparison_result)

In the above code, we first create an AipFace object by importing the AipFace module, and then we can use this object to call different API interfaces. Among them, we defined two functions, namely the face detection interface and the face comparison interface. In the main function, we first read the contents of the two face pictures, then call the face detection and face comparison interfaces respectively, and print out the results.

It should be noted that when using, you need to replace your_app_id, your_api_key and your_secret_key with your own API Key and Secret Key, and replace path_to_your_image, path_to_image1 and path_to_image2 with the corresponding image paths.

Through the above steps, we can use Python to call Baidu Face Recognition API to implement the face recognition function. In addition to face detection and face comparison, Baidu Face Recognition API also provides face search, face registration and other functions. Developers can choose the appropriate API interface to call according to their own needs.

The above is the detailed content of Python calls Baidu face recognition API to implement face recognition function. For more information, please follow other related articles on the PHP Chinese website!