Teach you how to use Python programming to realize the docking of Baidu image recognition interface and realize the image recognition function.

Teach you how to use Python programming to realize the docking of Baidu image recognition interface and realize the image recognition function

In the field of computer vision, image recognition technology is a very important one technology. Baidu provides a powerful image recognition interface through which we can easily implement image classification, labeling, face recognition and other functions. This article will teach you how to use the Python programming language to realize the image recognition function by connecting to the Baidu image recognition interface.

First, we need to create an application on the Baidu Developer Platform and obtain the API Key and Secret Key of the application. Only in this way can we use Baidu image recognition interface.

Next, we need to install the Python request library requests and the Python SDK library aip of Baidu image recognition. Enter the following commands on the command line to install these two libraries:

pip install requests
pip install baidu-aip

After the installation is complete, we can import these two libraries into the Python code and start writing image recognition code.

First, we need to import the requests library and aip library, as well as some parameters required to call Baidu image recognition API:

import requests
from aip import AipImageClassify

# 设置百度图像识别API的参数
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

# 创建一个AipImageClassify的实例
client = AipImageClassify(APP_ID, API_KEY, SECRET_KEY)

In the above code, we use our own APP_ID, API_KEY and SECRET_KEY, these information need to be replaced according to the actual situation.

Next, we can write a function to realize the image recognition function by calling Baidu image recognition API:

def image_recognition(image_path):
    # 读取图像的二进制数据
    with open(image_path, 'rb') as f:
        image_data = f.read()
        
    # 调用百度图像识别API对图像进行识别
    result = client.advancedGeneral(image_data)
    
    # 输出识别结果
    if 'error_code' in result:
        print('识别失败：', result['error_msg'])
    else:
        for item in result['result']:
            print('标签：', item['keyword'])
            print('可信度：', item['score'])

In the above code, we first read the binary data of the image , and calls the advancedGeneral method of Baidu Image Recognition API, which can return the image recognition result. Finally, we output the label and credibility of the image by looping through the results.

Finally, we can call the function written above to implement the image recognition function:

if __name__ == '__main__':
    # 要识别的图像路径
    image_path = 'path/to/your/image.jpg'
    
    # 调用图像识别函数
    image_recognition(image_path)

In the above code, we first specify the image path to be recognized, and then call the image identification function. Just replace the image path to be recognized with your own image path.

Through the above steps, we can use the Python programming language to connect to the Baidu image recognition interface to realize the image recognition function. In this way, we can easily perform operations such as classifying images, labeling them, and identifying faces. I hope this article can help readers who are interested in image recognition.

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