videogrep

automatic video supercuts with python

  • 所有者: antiboredom/videogrep
  • 平台:
  • 许可证: Other
  • 分类:
  • 主题:
  • 喜欢:
    0
      比较:

Github星跟踪图

Videogrep

Videogrep is a command line tool that searches through dialog in video files (using .srt or .vtt subtitle tracks, or pocketsphinx transcriptions) and makes supercuts based on what it finds.

Videogrep also has an experimental graphic interface (Mac only). Download it here: http://saaaam.s3.amazonaws.com/VideoGrep.app.zip

Requirements

Install with pip

pip install videogrep

Install ffmpeg with Ogg/Vorbis support. If you're on a mac with homebrew you can install ffmpeg with:

brew install ffmpeg --with-libvpx --with-libvorbis

(OPTIONAL) Install pocketsphinx for word-level transcriptions. On a mac:

brew tap watsonbox/cmu-sphinx
brew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxbase
brew install --HEAD watsonbox/cmu-sphinx/cmu-sphinxtrain # optional
brew install --HEAD watsonbox/cmu-sphinx/cmu-pocketsphinx

How to use it!

The most basic use:

videogrep --input path/to/video_or_folder --search 'search phrase'

You can put any regular expression in the search phrase.

If you install Pattern.en (pip install pattern), you can also search for part-of-speech tags. See the Pattern-Search documentation for some details about how this works, and the Penn Tree bank tag set for a list of usuable part-of-speech tags. For example the following will search for every line of dialog that contains an adjective (JJ) followed by a singular noun (NN):

videogrep --input path/to/video_or_folder --search 'JJ NN' --search-type pos

With Pattern you can also do a hypernym search - which essentially searches for words that fit into a specific category. The following, for example, will search for any line of dialog that references a liquid (like water, coffee, beer, etc.):

videogrep --input path/to/video_or_folder --search 'liquid' --search-type hyper

NOTE: videogrep requires the subtitle track and the video file to have the exact same name, up to the extension. For example, my_movie.mp4 and my_movie.srt will work, my_movie.mp4 and my_movie_subtitle.srt will not work.

Options

videogrep can take a number of options:

--input / -i

Video or subtitle file, or folder containing multiple files

--output / -o

Name of the file to generate. By default this is "supercut.mp4"

--search / -s

Search term

--search-type / -st

Type of search you want to perform. There are three options:

  • re: regular expression (this is the default).
  • pos: part of speech search (uses pattern.search). For example 'JJ NN' would return all lines of dialog that contain an adjective followed by a noun.
  • hyper: hypernym search. For example 'body parts' grabs all lines of dialog that reference a body part
  • word: extract individual words - for multiple words use the ', ' symbol (requires pocketsphinx).
  • franken: create a "frankenstein" sentence (requires pocketsphinx)
  • fragment: multiple words with allowed wildcards like 'blue *' (requires pocketsphinx)

--max-clips / -m

Maximum number of clips to use for the supercut

--demo / -d

Show the search results without making the supercut

--randomize / -r

Randomize the order of the clips

--padding / -p

Padding in milliseconds to add to the start and end of each clip

--use-vtt / -vtt

Use .vtt files rather than .srt subtitle files. If this is enabled, and you grabbed the .vtt from YouTube's auto-captioning service you can do word-level searches.

--transcribe / -tr

Transcribe the video using audiogrep/pocketsphinx. You must install pocketsphinx first!

--use-transcript / -t

Use the pocketsphinx transcript rather than a subtitle file for searching. If this is enabled you can do
word-level searches.

Samples

Use it as a module

from videogrep import videogrep

videogrep('path/to/your/files','output_file_name.mp4', 'search_term', 'search_type')

The videogrep module accepts the same parameters as the command line script. To see the usage check out the source.

主要指标

概览
名称与所有者antiboredom/videogrep
主编程语言Python
编程语言Python (语言数: 1)
平台
许可证Other
所有者活动
创建于2014-05-27 04:11:50
推送于2024-04-19 00:22:25
最后一次提交2024-04-18 20:22:23
发布数3
最新版本名称2.1.2 (发布于 )
第一版名称2.1.0 (发布于 )
用户参与
星数3.4k
关注者数84
派生数260
提交数240
已启用问题?
问题数93
打开的问题数15
拉请求数20
打开的拉请求数3
关闭的拉请求数25
项目设置
已启用Wiki?
已存档?
是复刻?
已锁定?
是镜像?
是私有?