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

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

Introduction:
With the rapid development of artificial intelligence technology, image classification has become an indispensable part of many application scenarios. Huawei Cloud provides a powerful image classification API that can help developers quickly identify and classify images. This tutorial will introduce how to use Python to connect to Huawei Cloud interface to implement image classification function.

Step 1: Create a Huawei Cloud account
First, we need to create an account on the Huawei Cloud official website. Visit the website (https://www.huaweicloud.com/), click the registration button, and follow the prompts to complete the registration.

Step 2: Log in to the console
After completing the registration, use your account and password to log in to the Huawei Cloud console (https://console.huaweicloud.com/) and enter the main page.

Step 3: Create service credentials
On the main page of the console, click "Management and Support" on the left menu bar, then select "Access and Authentication" > "My Credentials" > "Create service credentials". Follow the prompts to fill in the relevant information and create a service certificate.

Step 4: Install dependent libraries
We will use Python to connect to the Huawei Cloud interface. Run the following commands in the terminal to install the required dependent libraries.

pip install requests

Step 5: Write code
First, import the necessary libraries and modules.

import requests
import json

Then, we need to define some necessary parameters, including account information, interface address and image path to be classified. Please add the following code to your script and modify it accordingly according to the actual situation.

# 账号信息
access_key = "your_access_key"
secret_key = "your_secret_key"

# 接口参数
endpoint = "https://api-endpoint.huawei.com"
uri = "/v1/infers/your_service_id"

# 待分类的图像路径
image_path = "path_to_your_image.jpg"

Next, we need to define a function to send the request and get the results.

def send_request():
    # 构造请求头
    headers = {
        "Content-Type": "application/json",
        "X-Auth-Token": access_key + " " + secret_key
    }

    # 构造请求体
    payload = {
        "image": open(image_path, "rb")
    }

    try:
        # 发送POST请求
        response = requests.post(endpoint + uri, headers=headers, files=payload)
        
        # 解析响应结果
        result = json.loads(response.text)
        
        # 打印分类结果
        print("图像分类结果：", result["result"][0]["label"])
    except Exception as e:
        print("请求失败：", str(e))

Finally, we only need to call the send_request function in the main function.

if __name__ == "__main__":
    send_request()

Step 6: Run the code
Run your Python script in the terminal, you will see the output of the image classification results.

Summary:
This tutorial introduces you how to use Python to connect to Huawei Cloud interface to implement image classification function. With a few simple steps, we can use Huawei Cloud's powerful image classification API to automatically classify images. Hope this tutorial is helpful to you, thank you for reading!

(Note: This tutorial is for reference only. The specific implementation method may vary due to changes in the API interface. Please refer to Huawei Cloud official documents.)

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