Tutorial: Python connects to Huawei Cloud interface to implement image recognition function

Tutorial: Python connects to Huawei Cloud interface to implement image recognition function

1. Introduction
   With the rapid development of artificial intelligence, image recognition has become one of the widely used basic technologies. Huawei Cloud provides a set of powerful image recognition interfaces. We can use Python to connect to the Huawei Cloud interface to implement image recognition functions. This tutorial will introduce how to use Python to write code to connect to the Huawei Cloud interface and perform image recognition.
2. Preparation
   First, we need to create an account on Huawei Cloud and obtain the Access Key and Secret Key. These two keys are the identity credentials for connecting to the Huawei Cloud interface and must be kept confidential.

3. Install Python SDK
   In order to facilitate the connection to the Huawei Cloud interface, we need to install the Python SDK of Huawei Cloud. Open a terminal (command prompt) and enter the following command:

   pip install obs-sdk

   After the installation is complete, we can start writing Python code.

4. Connecting to Huawei Cloud Interface
   First, at the beginning of the Python code, import the relevant libraries:

   import logging
   from obs import ObsClient
   import base64
   import time
   import requests

   Then, we define what is needed to connect to Huawei Cloud Interface Parameters:

   AK = "YourAccessKey"
   SK = "YourSecretKey"
   endpoint = "https://obs.cn-north-1.myhuaweicloud.com"
   bucket_name = "YourBucketName"
   region = 'cn-north-1'
   project_id = 'YourProjectId'

   Next, we establish a connection through ObsClient:

   obs_client = ObsClient(access_key_id=AK, secret_access_key=SK, server=endpoint)

5. Upload images
   Before image recognition, we need to upload the image to be recognized first to Huawei Cloud Storage Service (OBS).

   file_path = "path_to_your_image"
   with open(file_path, 'rb') as f:
    obs_client.putContent(project_id, bucket_name, file_path, file_stream=f)

6. Perform image recognition
   After uploading the image, we can call the Huawei Cloud image recognition interface to implement the image recognition function. Take image tag recognition as an example:

   url = 'https://ais.cn-north-1.myhuaweicloud.com/v1.0/image/tagging'
    
   headers = {
    'Content-Type': 'application/json',
    'X-Auth-Token': get_token()
   }
   
   data = {
    "image":"",
    "url": obs_client.signUrl(bucket_name, file_path, expires=600),
    "language": "zh",
   }
   
   response = requests.post(url, headers=headers, json=data)
   result = response.json()
   print(result)

   Through the above code, we can get the recognition results. Subsequent operations or analysis can be performed based on the recognition results.

7. Summary
   This tutorial introduces how to use Python to connect to Huawei Cloud interface to implement image recognition function. By connecting to the Huawei Cloud interface, we can easily implement various image recognition application scenarios with the help of Huawei Cloud's powerful computing power and rich image recognition algorithms. In summary, I hope this tutorial will be helpful to everyone and achieve good results in practice.

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