How to use Python to connect to the cloud interface to implement video cutting and acceleration functions

How to use Python to interface with Youpaiyun interface to realize video cutting and acceleration functions

Youpaiyun is a well-known domestic cloud storage and content distribution network service provider. It provides a rich API interface to enable Developers can easily process, distribute and accelerate video. This article will introduce how to use Python to interface with Youpaiyun to implement video cutting and acceleration functions.

First of all, we need to register an account on Youpaiyun official website and create a space to store video files. Obtain Youpaiyun's AccessKey and SecretKey. These two keys will be used for authentication.

Next, we need to install the Youpaiyun SDK for Python. It can be installed through the pip command:

pip install upyun

After successful installation, we can start writing code. Here is a basic sample code for cutting a video and speeding it up:

import upyun
from urllib.parse import urlencode

# 初始化又拍云对象
up = upyun.UpYun('your-bucket', 'your-username', 'your-password')

# 定义剪切函数
def trim_video(file_path, start_time, end_time, speed):
    # 构造参数
    params = {
        'type': 'video',
        'avopts': '/ss/' + start_time + '/to/' + end_time + '/s/' + speed,
    }
    
    # 调用又拍云 API 进行剪切
    response = up.put(file_path, params=params)
    
    if response.status_code == 200:
        print('剪切成功')
    else:
        print('剪切失败')

# 调用剪切函数
trim_video('path/to/your/video.mp4', '00:01:30', '00:02:30', '2')

# 定义加速函数
def accelerate_video(file_path):
    # 构造参数
    params = {
        'type': 'video',
        'avopts': '/bpsm/500',
    }

    # 调用又拍云 API 进行加速
    response = up.put(file_path, params=params)

    if response.status_code == 200:
        print('加速成功')
    else:
        print('加速失败')

# 调用加速函数
accelerate_video('path/to/your/video.mp4')

In the above code, first we initialize an Upyun object through the upyun.UpYun() method. Then the functions of cutting video and accelerating video are defined respectively. In the cutting function, we use the up.put() method to call Youpaiyun’s API to perform the cutting operation. In the acceleration function, the same method is called to perform acceleration operations.

It should be noted that among the parameters of the cutting function, start_time and end_time represent the start time and end time of the video clip to be cut, and speed represents the video playback speed after cutting.

For the convenience of the example, the above code simply outputs the information of "cutting successful" or "cutting failed", and "acceleration successful" or "acceleration failed". In actual projects, you can further encapsulate and handle errors on these functions according to your needs.

In summary, this article introduces how to use Python to connect to the cloud interface to implement video cutting and acceleration functions. By calling Youpaiyun's API, we can easily cut and accelerate videos to better meet the needs of video processing and distribution.

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