Learn Python to implement Qiniu Cloud interface docking and image watermark synthesis

Learn Python to implement Qiniu Cloud interface docking and image watermark synthesis

Overview:
With the development of the Internet, image processing has become an indispensable part of many application scenarios. Qiniu Cloud, as a service provider focusing on cloud storage and cloud processing, provides users with a wealth of image processing interfaces. This article will introduce how to use Python language to connect to Qiniu Cloud interface to realize the function of image watermark synthesis.

Steps:

1. Register a Qiniu Cloud account and create your own storage space.
2. Install the Python development environment and download the corresponding dependent libraries.
3. Write Python code to implement the docking and image watermark synthesis functions of Qiniu Cloud interface.

Code example:

import requests

def add_watermark(url, watermark_url):
    access_key = 'your_access_key'
    secret_key = 'your_secret_key'
    bucket_name = 'your_bucket_name'
    font = 'your_font'  # 自定义字体
    font_size = '14'  # 自定义字体大小
    gravity = 'SouthEast'  # 水印位置，这里选择了右下角

    watermark = '/watermark/1/image/' + requests.utils.quote(watermark_url) + '/gravity/' + gravity + 
                '/font/' + requests.utils.quote(font) + '/fontsize/' + font_size

    encoded_entry_uri = requests.utils.quote(bucket_name + ':' + url)
    encoded_sign = requests.utils.quote(watermark)
    sign = encoded_entry_uri + encoded_sign + '?' + secret_key
    encoded_sign = requests.utils.quote(requests.utils.quote(sign, safe='').replace("%2F", "&").replace("%3A", ":"))

    final_url = 'http://your_domain/' + encoded_entry_uri + watermark + '/sign/' + access_key + ':' + encoded_sign
    return final_url

if __name__ == "__main__":
    original_url = 'original_image_url'
    watermark_url = 'watermark_image_url'
    final_url = add_watermark(original_url, watermark_url)
    print(final_url)

Code analysis:
First, we need to prepare our Qiniu Cloud account and create a storage space. Next, we need to replace your_access_key, your_secret_key, your_bucket_name, your_font, original_image_url and # in the code ##watermark_image_url is our own specific information.

In the

add_watermark function, we will pass in the URL of the original image and the URL of the watermark image respectively. By splicing various parameters, a signed URL is finally generated.

Before running this code, we need to ensure that the Python requests library has been installed, which can be installed through the

pip install requests command.

Summary:

This article introduces how to use Python language to connect to Qiniu Cloud interface to realize the function of image watermark synthesis. In practical applications, we can further expand other interfaces of Qiniu Cloud according to our own needs to achieve more image processing functions. At the same time, we can also combine with other Python libraries, such as Pillow, to perform further image processing operations on the generated URL.

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