Teach you to use Python programming to implement Baidu image recognition interface docking and realize image recognition function

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

Foreword:
With the continuous development of artificial intelligence technology, image recognition It has become a frequently used function in people's lives. As a leading domestic artificial intelligence technology company, Baidu provides a series of image recognition interfaces, including face recognition, object recognition, text recognition and other functions. This article will use the Python programming language to teach you how to connect to the Baidu image recognition interface and implement the image recognition function.

1. Preparation work
First, we need to prepare the account and key of Baidu image recognition interface. Register an account on the Baidu Smart Cloud official website, apply for an image recognition application, and obtain the API Key and Secret Key.

2. Install dependent libraries
Before using Python programming to connect to the Baidu image recognition interface, we need to install some necessary dependent libraries. Execute the following command on the command line to install the dependent libraries:

pip install requests

3. Write the code
Next, we can start writing Python code to connect to the Baidu image recognition interface. First, create a new Python file, for example named image_recognition.py, and write the following code in the file:

import requests
import base64

# 设置接口请求的URL
url = 'https://aip.baidubce.com/oauth/2.0/token'

# 设置API Key和Secret Key
api_key = 'your_api_key'
secret_key = 'your_secret_key'

# 设置请求参数
params = {
    'grant_type': 'client_credentials',
    'client_id': api_key,
    'client_secret': secret_key
}

# 发送请求获取Access Token
response = requests.post(url, data=params)
access_token = response.json()['access_token']

# 设置图像识别接口的URL
url = 'https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general'

# 设置图像路径
image_path = 'path_to_your_image'

# 将图像转为base64编码
with open(image_path, 'rb') as f:
    image = f.read()
image_base64 = base64.b64encode(image)

# 设置请求参数
params = {
    'image': image_base64,
    'access_token': access_token
}

# 发送请求进行图像识别
response = requests.post(url, data=params)
results = response.json()['result']
for result in results:
    print(result['keyword'], result['score'])

We can modify the 'your_api_key', 'your_secret_key' and 'path_to_your_image' in the code to replace it with your own API Key, Secret Key and image path.

4. Run the code
Execute the following command in the command line to run the code and perform image recognition:

python image_recognition.py

After the code runs successfully, control The platform will print out the recognized image keywords and confidence level.

Summary:
Through the tutorials in this article, we learned how to use Python programming to connect to the Baidu image recognition interface and implement the image recognition function. I hope this article can be helpful to everyone, and you are welcome to further explore and optimize it in practical applications to achieve richer and smarter image recognition functions.

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