Tutorial: Python connects to Huawei Cloud interface to implement intelligent image segmentation function

Tutorial: Python connects to Huawei Cloud interface to implement intelligent image segmentation function

Overview:
In the rapid development of modern technology, intelligent image segmentation has become a very useful technology. Through intelligent image segmentation, we can separate the target objects in the picture from the background, thereby achieving more advanced image processing and analysis. This tutorial will introduce how to use Python programming language to connect to Huawei Cloud interface to implement intelligent image segmentation function.

Step 1: Create a Huawei Cloud account and activate the service
First, we need to create an account on the official Huawei Cloud website and activate the image analysis service. After the registration is completed, log in to the Huawei Cloud console, find the image analysis service, and ensure that it has been successfully activated.

Step 2: Get the API Key
In the console, we need to get the API key in order to authenticate in the Python code. On the "My Credentials" page of the console, click the "Create API Key" button, and the system will generate an AK (Access Key) and SK (Secret Key).

Step 3: Install Python SDK
To use Python to connect to the Huawei Cloud interface, we need to install the Huawei Cloud Python SDK. Run the following command in the terminal window to install the SDK:

pip install obs-sdk

Step 4: Write Python code
The following is a sample code that shows how to use Python to connect to the Huawei Cloud interface to realize the function of intelligent image segmentation:

import requests
import hmac
import hashlib
from base64 import b64encode
from datetime import datetime
import json

access_key = "YOUR_ACCESS_KEY"
secret_key = "YOUR_SECRET_KEY"

def get_signature(access_key, secret_key, http_method, pathname, headers):
    content_md5 = headers.get("Content-MD5", "")
    content_type = headers.get("Content-Type", "")
    date = headers.get("Date")

    string_to_sign = f"{http_method}
{content_md5}
{content_type}
{date}
{pathname}"
    
    signature = hmac.new(secret_key.encode(), string_to_sign.encode(), hashlib.sha256).digest()
    signature = b64encode(signature).decode()

    return signature

def call_api(url, method, headers, data):
    now = datetime.now().astimezone().strftime("%a, %d %b %Y %H:%M:%S GMT")
    headers["Date"] = now
    signature = get_signature(access_key, secret_key, method, url, headers)
    headers["Authorization"] = f"AWS {access_key}:{signature}"
    headers["Host"] = "image.cn-north-1.myhuaweicloud.com"

    response = requests.request(method, url, headers=headers, json=data)
    return response

def image_segmentation(image_path):
    endpoint = "https://image.cn-north-1.myhuaweicloud.com/v1.0/image/segmentation"
    headers = {
        "Content-Type": "application/json",
        "X-Project-Id": "YOUR_PROJECT_ID"
    }
    data = {
        "image": json.dumps({
            "url": image_path
        })
    }

    response = call_api(endpoint, "POST", headers, data)
    result = response.json()

    return result

# 在此处调用图像分割函数
result = image_segmentation("https://example.com/image.jpg")
print(result)

Make sure to replace YOUR_ACCESS_KEY, YOUR_SECRET_KEY, and YOUR_PROJECT_ID in your code with real values.

Step 5: Test code
Run the above code, it will connect to the Huawei Cloud interface and send an image segmentation request. The returned results will be printed out as JSON objects.

Summary:
Through this tutorial, we have mastered how to use Python to connect to the Huawei Cloud interface to realize the function of intelligent image segmentation. Intelligent image segmentation is a very useful technology that can be widely used in the field of image processing and analysis. I hope this tutorial can help you better understand and apply intelligent image segmentation technology.

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