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

You might also like...
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
Releases(0.2.0)
Owner
歌者
失去人性,失去很多;失去兽性,失去一切;活着才能燃烧自己。
歌者
Node-level Graph Regression with Deep Gaussian Process Models

Node-level Graph Regression with Deep Gaussian Process Models Prerequests our implementation is mainly based on tensorflow 1.x and gpflow 1.x: python

1 Jan 16, 2022
Özlem Taşkın 0 Feb 23, 2022
Predicting the duration of arrival delays for commercial flights.

Flight Delay Prediction Our objective is to predict arrival delays of commercial flights. According to the US Department of Transportation, about 21%

Jordan Silke 1 Jan 11, 2022
Educational 2D SLAM implementation based on ICP and Pose Graph

slam-playground Educational 2D SLAM implementation based on ICP and Pose Graph How to use: Use keyboard arrow keys to navigate robot. Press 'r' to vie

Kirill 19 Dec 17, 2022
This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".

AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis | Project Page | Paper | PyTorch implementation for the paper "AD-NeRF: Audio

551 Dec 29, 2022
Training Structured Neural Networks Through Manifold Identification and Variance Reduction

Training Structured Neural Networks Through Manifold Identification and Variance Reduction This repository is a pytorch implementation of the Regulari

0 Dec 23, 2021
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

Learning Opinion Summarizers by Selecting Informative Reviews This repository contains the codebase and the dataset for the corresponding EMNLP 2021

Arthur Bražinskas 39 Jan 01, 2023
Learning-Augmented Dynamic Power Management

Learning-Augmented Dynamic Power Management This repository contains source code accompanying paper Learning-Augmented Dynamic Power Management with M

Adam 0 Feb 22, 2022
Occlusion robust 3D face reconstruction model in CFR-GAN (WACV 2022)

Occlusion Robust 3D face Reconstruction Yeong-Joon Ju, Gun-Hee Lee, Jung-Ho Hong, and Seong-Whan Lee Code for Occlusion Robust 3D Face Reconstruction

Yeongjoon 31 Dec 19, 2022
Code for the Paper: Alexandra Lindt and Emiel Hoogeboom.

Discrete Denoising Flows This repository contains the code for the experiments presented in the paper Discrete Denoising Flows [1]. To give a short ov

Alexandra Lindt 3 Oct 09, 2022
Examples of how to create colorful, annotated equations in Latex using Tikz.

The file "eqn_annotate.tex" is the main latex file. This repository provides four examples of annotated equations: [example_prob.tex] A simple one ins

SyNeRCyS Research Lab 3.2k Jan 05, 2023
[SIGGRAPH 2022 Journal Track] AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars

AvatarCLIP: Zero-Shot Text-Driven Generation and Animation of 3D Avatars Fangzhou Hong1*  Mingyuan Zhang1*  Liang Pan1  Zhongang Cai1,2,3  Lei Yang2 

Fangzhou Hong 749 Jan 04, 2023
Pmapper is a super-resolution and deconvolution toolkit for python 3.6+

pmapper pmapper is a super-resolution and deconvolution toolkit for python 3.6+. PMAP stands for Poisson Maximum A-Posteriori, a highly flexible and a

NASA Jet Propulsion Laboratory 8 Nov 06, 2022
This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"

ICCV Workshop 2021 VTGAN This code is for our paper "VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers"

Sharif Amit Kamran 25 Dec 08, 2022
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

ALBERT ***************New March 28, 2020 *************** Add a colab tutorial to run fine-tuning for GLUE datasets. ***************New January 7, 2020

Google Research 3k Jan 01, 2023
An unreferenced image captioning metric (ACL-21)

UMIC This repository provides an unferenced image captioning metric from our ACL 2021 paper UMIC: An Unreferenced Metric for Image Captioning via Cont

hwanheelee 14 Nov 20, 2022
Python Implementation of Chess Playing AI with variable difficulty

Chess AI with variable difficulty level implemented using the MiniMax AB-Pruning Algorithm

Ali Imran 7 Feb 20, 2022
Dynamic Graph Event Detection

DyGED Dynamic Graph Event Detection Get Started pip install -r requirements.txt TODO Paper link to arxiv, and how to cite. Twitter Weather dataset tra

Mert Koşan 3 May 09, 2022
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces

This repository contains source code for the paper Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces a

9 Nov 21, 2022
SIEM Logstash parsing for more than hundred technologies

LogIndexer Pipeline Logstash Parsing Configurations for Elastisearch SIEM and OpenDistro for Elasticsearch SIEM Why this project exists The overhead o

146 Dec 29, 2022