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The Great Big Beautiful Tomorrow
28 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Texte
Autres articles (49)
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Supporting all media types
13 avril 2011, parUnlike most software and media-sharing platforms, MediaSPIP aims to manage as many different media types as possible. The following are just a few examples from an ever-expanding list of supported formats : images : png, gif, jpg, bmp and more audio : MP3, Ogg, Wav and more video : AVI, MP4, OGV, mpg, mov, wmv and more text, code and other data : OpenOffice, Microsoft Office (Word, PowerPoint, Excel), web (html, CSS), LaTeX, Google Earth and (...)
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Les autorisations surchargées par les plugins
27 avril 2010, parMediaspip core
autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs -
Other interesting software
13 avril 2011, parWe don’t claim to be the only ones doing what we do ... and especially not to assert claims to be the best either ... What we do, we just try to do it well and getting better ...
The following list represents softwares that tend to be more or less as MediaSPIP or that MediaSPIP tries more or less to do the same, whatever ...
We don’t know them, we didn’t try them, but you can take a peek.
Videopress
Website : http://videopress.com/
License : GNU/GPL v2
Source code : (...)
Sur d’autres sites (10079)
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How to make a bot available to multiple users on blocking operations ? python, aiogram, pytube, ffmpeg
27 février 2023, par Tony ReznikI'm trying to deal with multithreading and asynchrony, but I can't figure out how to deal with this situation.


There is a telegram bot that downloads videos from YouTube and cuts only the first minute of the video into a separate file. Pytube and ffmpeg are used. The second bot user does not receive any response from the bot while the tasks of the first one are running. How to deal with such difficulties ?


import subprocess

from aiogram import Bot, Dispatcher, types
from aiogram.utils import executor
from pytube import YouTube
import time

API_TOKEN = 'tkn'

bot = Bot(token=API_TOKEN)
dp = Dispatcher(bot)

video_folder = 'video/'


@dp.message_handler()
async def start_convert(message: types.Message):
 url = message.text
 yt = YouTube(url)

 await message.reply('accepted')

 video_name = time.strftime("%d-%m-%Y-%H-%M-%S") + '.mp4'

 video = yt.streams.get_highest_resolution()
 video.download(video_folder, filename=video_name)

 await message.reply('downloaded')

 subprocess.call(['ffmpeg', '-hide_banner', '-loglevel', 'error', '-i', f'{video_folder}{video_name}',
 '-ss', '0', '-c:v', 'libx264', '-c:a', 'aac', '-b:v', '5M', '-to', '60',
 f'{video_folder}1_min_{video_name}'])

 await message.reply('trimmed')

if __name__ == '__main__':
 executor.start_polling(dp, skip_updates=True)




This is a code template.
In the current form, I want to understand how to implement the task correctly.


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I need assistance of making a automated script for ffmpeg [closed]
18 décembre 2024, par user2614404Currently i use this script that GPT generated :


ffmpeg -c:v av1_qsv -b:v 0 -global_quality 20 -preset veryslow -look_ahead 64 -c:a copy -c:s copy G:\1ARC-movies\A-View-to-a-kill.mkv -i Y:\media\Movies\A_VIEW_TO_A_KILL_t05.mkv


But sadly GPT being gpt, it hallucinates answers, and none of it's deeper automation code scripts were working when it made the scripts for a .ps1 script file.


And as i find most of the docs quite overwhelming, i need help to simplify what i need. As i learn best when i get explained what i currently try to do, and not every variable ffmpeg can do.


what i want the script to do is :


1 : convert movies with AV1_QSV with "veryslow", as that's apparently from what i've read up being the best it can do


2 : Global quality as close to 50 as possible (smaller, the better), as 20-6 gave the same range of percentage of 97% VMAF score, 22 gave 95%, so 20 is the largest number i can go, as VMAF via NMKODER reported any higher number was sub 97%.


3 : Give it a main folder for movies and shows to scan, and convert all the media in there to their respective subfolders to a designated output folder.


2 : Automatic crop detection, as some crops it to a 21:9 ratio, others has very small letterboxes. As GPT's code for that attempt for some reason used cpu instead of arc's quicksync.


As this will be ran from powershell, and it's to replace my plex library, by transcoding all movies and shows, starting with the least watched ones/shows that my family has seen, as then those will be unavailable for them until unraid 7 is out of beta to read intel arc for av1.


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ffmpeg - two very similar webm files, two very different conversion speeds to mp4
28 juin 2018, par NuthinkingI generate webm files in two different ways. One using Chrome WebRTC MediaRecorder, the other one is using a js library which generates the webm video frame by frame (webm-writer-js). The file size of the videos generated is not that different, the fast one is 60% of the slow one but the difference in speed is 1000%
Using the basic ffmpeg syntax
-i input.webm output.mp4
the files created with Chrome’s media recorder take in fact almost 10x time to be converted. The conversion logs differ slightly but overall look very similar to my novice eyes. On the left the fast conversion and on the right the slow one.The fast one throws a little error but the conversion seems successful. In the slow conversion you can see many frames processed, in the fast one as if there was only one (very fast). Using
-preset veryfast
cuts the speed time by half to both but the loss of quality is visible.Any idea how I could speed up the conversion for the videos generated by Chrome without compromising much in quality ? Thanks a lot !