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；

Related tags

Deep Learningdockersubtittles
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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