How to use Python to connect to the cloud interface to achieve video transcoding and acceleration

How to use Python to connect to Youpaiyun interface to achieve video transcoding and acceleration

Youpaiyun is a well-known cloud storage service provider in China, providing a rich API interface to facilitate developers to store storage operate on the content. This article will introduce how to use Python to connect to the cloud interface to realize video transcoding and acceleration functions.

First, we need to install Youpaiyun’s Python SDK, which can be installed through the following command:

pip install upyun

Next, we need to prepare Youpaiyun’s service space information, including the service name , operator account and password, space name, etc.

The following is a simple code example that demonstrates how to use Python to connect to the cloud interface for video transcoding and acceleration:

import upyun

# 设置又拍云的服务空间信息
service = upyun.UpYun('your-service-name', 'your-operator', 'your-password')

# 设置视频转码参数
params = {
    'source': '/path/to/your/source.mp4',
    'notify_url': 'http://your-notify-url.com',
    'accept': 'json',
    'tasks': [
        {
            'type': 'video',
            'avopts': '/s/400x300',
            'save_as': '/path/to/your/target.mp4'
        }
    ]
}

# 发起视频转码请求
result = service.video_handler(params)

print(result)

In the above code, we first imported the upyun module, and The service space information of Youpaiyun is set. Then, we defined the parameters of video transcoding, including the path of the source video, the path of the target video after transcoding, and other related parameters. Finally, call the video_handler method to initiate a video transcoding request and print the result.

In addition to video transcoding, Youpaiyun also provides a variety of acceleration functions, including CDN acceleration, video acceleration, etc. Next, let’s take a look at how to use Python to connect to the cloud interface for video acceleration.

import upyun

# 设置又拍云的服务空间信息
service = upyun.UpYun('your-service-name', 'your-operator', 'your-password')

# 设置视频加速参数
params = {
    'source': '/path/to/your/source.mp4',
    'save_as': '/path/to/your/target.mp4',
    'notify_url': 'http://your-notify-url.com',
    'accept': 'json',
    'type': 'vod',
    'tasks': [
        {
            'name': 'video-convert',
            'avopts': '/s/400x300',
            'save_as': '/path/to/your/convert.mp4'
        },
        {
            'name': 'video-thumbnails',
            'save_as': '/path/to/your/thumbnails.jpg'
        }
    ]
}

# 发起视频加速请求
result = service.video_accelerate(params)

print(result)

In the above code, we first imported the upyun module and set the service space information of Youpaiyun. Then, the parameters of video acceleration are defined, including source video path, target video path after transcoding, notification URL, acceleration type, etc. Next, we defined a series of tasks, including video transcoding and obtaining video thumbnails.

Finally, call the video_accelerate method to initiate a video acceleration request and print out the result.

Through the above code examples, we can use Python to connect to the cloud interface to realize video transcoding and acceleration functions. Youpaiyun also provides a rich API interface, which can further expand other functions and meet more video processing needs. I hope this article can provide some help to developers in video processing.

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