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HomeBackend DevelopmentPython TutorialTutorial guide for sharing Python code to implement Baidu image recognition API docking
Tutorial guide for sharing Python code to implement Baidu image recognition API dockingAug 27, 2023 pm 03:04 PM
pythonTutorialguidedockingBaidu image recognition api

Tutorial guide for sharing Python code to implement Baidu image recognition API docking

Tutorial guide for implementing Baidu image recognition API docking with Python code

1. Overview
With the development of artificial intelligence, image recognition technology has attracted more and more attention . Baidu provides a powerful image recognition API. By connecting to this API, we can realize image classification, labeling, text recognition and other functions. This article will introduce how to use the Python programming language to connect to Baidu image recognition API, and give corresponding code examples.

2. Preparation

  1. Register a Baidu developer account and apply for the image recognition API key. Register an account in the Baidu AI open platform (https://ai.baidu.com/), enter the "Console" page, and apply for the image recognition API key. After obtaining it, save the Access Key and Secret Key.
  2. Install Python Baidu AI SDK. Enter the following command in the command line:

    pip install baidu-aip

3. Code Example
The following is a simple Python code example that implements the function of image classification using Baidu Image Recognition API.

from aip import AipImageClassify

# 定义百度图像识别API的密钥
APP_ID = 'your_app_id'
API_KEY = 'your_api_key'
SECRET_KEY = 'your_secret_key'

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

# 打开图片文件
with open("image.jpg", "rb") as f:
    image = f.read()

# 调用图像识别API
result = client.advancedGeneral(image)

# 解析识别结果
if 'result' in result:
    for item in result['result']:
        print(item['keyword'])
else:
    print(result['error_msg'])

In the code, you first need to fill in the obtained Access Key and Secret Key into the corresponding variables. Then, create a client object of Baidu image recognition API through the AipImageClassify class. Next, read the image file and call the advancedGeneral method to perform image classification and recognition. Finally, the recognition results are parsed and the keywords of the image are printed out.

4. Summary
Through this tutorial, we learned how to use the Python programming language to connect to Baidu image recognition API. By connecting to Baidu's image recognition API, we can implement various interesting applications, such as automatic image classification, keyword annotation, text extraction, etc. I hope this article can help readers better understand and use Baidu Image Recognition API.

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