https://github.com/jihuun/youtube_capture

Screen CapTure YouTube Videos
https://github.com/jihuun/youtube_capture

Last synced: 10 days ago
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Screen CapTure YouTube Videos

• Host: GitHub
• URL: https://github.com/jihuun/youtube_capture
• Owner: jihuun
• Created: 2019-02-10T23:02:34.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T07:37:47.000Z (almost 2 years ago)
• Last Synced: 2023-02-26T03:51:30.039Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 848 MB
• Stars: 2
• Watchers: 2
• Forks: 2
• Open Issues: 9
• Metadata Files:
  • Readme: README.md

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README

        
# CapTube  

A tool which can capture a Youtube video into images that you can read the video fastly.  

  

## Usage  

  

```  

./run.py -u  -n  -l    

```  

The result files would be placed in the ./results//*  

If the result path is already exist, but you want do it again. try again with --retry or -r option.  

Only -u option is mandatory.  

  

```  

./run.py -u  -n  -l  --retry  

```  

  

For more information, please see the option --help   

  

```  

./run.py -h  

```  

  

## Example  

  

```  

./run.py -u 'https://youtu.be/MMmOLN5zBLY' -n multi_lang -l ko  

```  

  

The result would be generate like below. The captured images are in the imsg/.  

  

```  

$ ls ./results/multi_lang/  

imgs/   multi_lang.json  multi_lang.mp4   multi_lang.srt  

```  

  

## Usage of APIs  

  

Just call these functions.  

  

```  

from capture import capture_by_subs  

from run import make_youtube_info  

  

video_info = make_youtube_info(url, name, lang, retry, fontsize)  

video_info.save_json()  

capture_by_subs(video_info)  

```  

  

1. generate video information with dictionary type.  

  

```  

video_info = make_youtube_info(url, name, lang, retry, fontsize)  

```  

> argument   

> url : the youtube url  

> name : result diretory name  

> lang : language code (en, ko, ru...)  

> retry : True/False (default False)  

> fontsize : default 30  

  

2. save the information to json file (if you want)  

  

```  

video_info.save_json()  

```  

> It will save name.json  

  

3. capture the video by subtitle time stamps  

  

```  

capture_by_subs(video_info)  

```  

> the results are generated in directory imgs/  

## Unit Test

```

./unit_test.py

```