使用深度学习框架提取视频硬字幕;docker容器免安装深度学习库,使用本地api接口使得界面和后端识别分离;

Overview

extract-video-subtittle

使用深度学习框架提取视频硬字幕;

本地识别无需联网;

CPU识别速度可观;

容器提供API接口;

运行环境

本项目运行环境非常好搭建,我做好了docker容器免安装各种深度学习包;

提供windows界面操作;

容器为CPU版本;

视频演示

https://www.bilibili.com/video/BV18Q4y1f774/

程序说明

1、先启动后端容器实例

docker run -d -p 6666:6666 m986883511/extract_subtitles

image-20210801214757813

2、启动程序

简单介绍页面

1:点击左边按钮连接第一步启动的容器;

2:视频提取字幕的总进度

3:当前视频帧显示的位置,就是视频进度条

4:识别出来的文字会在这里显示一下

image-20210801215010179

image-20210801215258761

3、点击选择视频确认字幕位置

点击选择视频按钮,这时你可以拖动进度条到有字幕的位置;然后点击选择字幕区域;在视频中画一个矩形;

image-20210801215258761

4、点击测试连接API

image-20210801220206554

后端没问题的话,会显示已连通;此时所有步骤准备就绪

5、开始识别

点击请先完成前几步按钮,内部分为这几个步骤

  1. 本地通过ffmpeg提取视频声音保存到temp目录(0%-10%)
  2. api通信将声音文件发送到容器内,容器内spleeter库提取声音中人声,结果保存在容器内temp目录,很耗时间,吃CPU和内存(10%-30)
  3. api通信,将人声根据停顿分片,返回分片结果,耗较短的时间(30%-40%)
  4. 根据说话分片时间开始识别字幕(40-%100%)

当100%的时候查看temp目录就生成了和视频同名的srt字幕文件

运行后台

后端接口容器地址Docker Hub

此过程可能时间较长,您需要预先安装好好docker,并配置好docker加速器,你可能需要先docker login

docker run -d -p 6666:6666 m986883511/extract_subtitles

本项目缺少文件

因网速墙的问题,大文件推送不上去,可以参考.gitignore中写的

其他

视频提取

# 视频片段提取
ffmpeg -ss 00:15:45 -t 00:02:15 -i test/three_body_3_7.mp4 -vcodec copy -acodec copy test/3body.mp4
# 打包界面程序
C:/Python/Python38-32/Scripts/pyinstaller.exe main.spec

参考资料

本项目中深度学习源代码为/docker/backend

原作者为:https://github.com/YaoFANGUK/video-subtitle-extractor

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Comments
  • 提取人声一直没结果

    提取人声一直没结果

    image 视频是40多分钟的连续剧。CPU版本。之前用YaoFANGUK/video-subtitle-extractor提取字幕很成功也准确,但时间比较长。看到作者用音频分析减少了识别的帧数,所以试了一下。但在提取人声时,已经等待了近50分钟没有结果。而且CPU的占用只有1%左右,这明显不正常。用YaoFANGUK/video-subtitle-extractor整个的耗时可能都没有这么久。另外autosub也是提取音频来语音识别字幕,识别人声也很快,同样的视频几分钟就完了。麻烦作者看看是出了什么问题呢。

    opened by royzengyi 2
  • 项目咨询

    项目咨询

    Hello,我尝试了一下这个软件,感觉还是不错的,不过在实际使用中还是会有不少问题。

    我是一个独立开发者,这边愿意付费或者合作来完善一下,让这个项目更具实用性,不知道你有没有兴趣呢?

    没有找到联系方式,只好通过issue来试一下,你可以在看到之后删除,谢谢。

    我的邮箱是yedaxia#foxmail.com

    opened by YeDaxia 1
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