用Python SDK对视频进行截图 - 媒体处理

视频截图是指对视频截取指定时间、指定尺寸的图片，用于生产视频封面、雪碧图、播放器进度条缩略图等场景，截图作业支持指定时间点、时间间隔、截图数量、类型以及是否拼图等。您可以通过媒体处理控制台、API或SDK提交截图作业。本文提供Python SDK V2.0使用截图相关功能的API调用示例。

完整代码

import os
import sys

from typing import List

from alibabacloud_mts20140618.client import Client as Mts20140618Client
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_mts20140618 import models as mts_20140618_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient


class Sample:
    def __init__(self):
        pass

    @staticmethod
    def create_client() -> Mts20140618Client:
        """
        使用AK&SK初始化账号Client
        @return: Client
        @throws Exception
        """
        config = open_api_models.Config(
            # 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_ID。,
            access_key_id=os.environ['ALIBABA_CLOUD_ACCESS_KEY_ID'],
            # 必填，请确保代码运行环境设置了环境变量 ALIBABA_CLOUD_ACCESS_KEY_SECRET。,
            access_key_secret=os.environ['ALIBABA_CLOUD_ACCESS_KEY_SECRET']
        )
        config.endpoint = f'mts.cn-hangzhou.aliyuncs.com'
        return Mts20140618Client(config)

    @staticmethod
    def main(
        args: List[str],
    ) -> None:
        client = Sample.create_client()
        submit_snapshot_job_request = mts_20140618_models.SubmitSnapshotJobRequest(
            #作业输入
            input='{"Bucket":"example-bucket","Location":"example-location","Object":"example%2Ftest.flv"}',
            #截图配置
            snapshot_config='{"OutputFile":{"Bucket":"example-001","Location":"example-location","Object":"{Count}.jpg"},"Time":"5","Num":"10","Interval":"20"}',
            #用户自定义数据
            user_data='testid-001',
            #管道ID
            pipeline_id='dd3dae411e704030b921e52698e5****'
        )
        runtime = util_models.RuntimeOptions()
        try:
            # 复制代码运行请自行打印 API 的返回值
            client.submit_snapshot_job_with_options(submit_snapshot_job_request, runtime)
        except Exception as error:
            # 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
            # 错误 message
            print(error.message)
            # 诊断地址
            print(error.data.get("Recommend"))
            UtilClient.assert_as_string(error.message)

    @staticmethod
    async def main_async(
        args: List[str],
    ) -> None:
        client = Sample.create_client()
        submit_snapshot_job_request = mts_20140618_models.SubmitSnapshotJobRequest(
            #作业输入
            input='{"Bucket":"example-bucket","Location":"example-location","Object":"example%2Ftest.flv"}',
            #截图配置
            snapshot_config='{"OutputFile":{"Bucket":"example-001","Location":"example-location","Object":"{Count}.jpg"},"Time":"5","Num":"10","Interval":"20"}',
            #用户自定义数据
            user_data='testid-001',
            #管道ID
            pipeline_id='dd3dae411e704030b921e52698e5****'
        )
        runtime = util_models.RuntimeOptions()
        try:
            # 复制代码运行请自行打印 API 的返回值
            await client.submit_snapshot_job_with_options_async(submit_snapshot_job_request, runtime)
        except Exception as error:
            # 此处仅做打印展示，请谨慎对待异常处理，在工程项目中切勿直接忽略异常。
            # 错误 message
            print(error.message)
            # 诊断地址
            print(error.data.get("Recommend"))
            UtilClient.assert_as_string(error.message)


if __name__ == '__main__':
    Sample.main(sys.argv[1:])

媒体处理：截图

完整代码

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