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The pirate bay depuis la Belgique
1er avril 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Image
Autres articles (107)
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MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...) -
MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Amélioration de la version de base
13 septembre 2013Jolie sélection multiple
Le plugin Chosen permet d’améliorer l’ergonomie des champs de sélection multiple. Voir les deux images suivantes pour comparer.
Il suffit pour cela d’activer le plugin Chosen (Configuration générale du site > Gestion des plugins), puis de configurer le plugin (Les squelettes > Chosen) en activant l’utilisation de Chosen dans le site public et en spécifiant les éléments de formulaires à améliorer, par exemple select[multiple] pour les listes à sélection multiple (...)
Sur d’autres sites (11897)
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Fluent-ffmpeg randomly doesn't add the text I want to the video, even though it's in the filters
15 décembre 2022, par ToborWinnerI am making a simple script to add some text to a 4 seconds video, it all works fine, but sometimes it randomly doesn't add some of the text.
You can find here the relevant parts of my code :



const video = ffmpeg('path/to/video.mp4')

let index = 0
let left = true

const filters = [{
 filter: 'drawtext',
 options: {
 //fontfile:'font.ttf',
 text: title,
 fontsize: 30,
 fontcolor: 'white',
 x: '(main_w/2-text_w/2)',
 y: 130,
 shadowcolor: 'black',
 shadowx: 2,
 shadowy: 2
 }
}]

for (let thought of thoughts) {
 if (thought.length == 0) {
 continue
 }
 thought = wrap(thought, {width: 35})
 const strings = thought.split("\n")
 let line = 0
 for (const string of strings
 .filter(string => string.length > 0)
 .map(string => string.trim())
 ) {
 let yoffset = 130+(130*(index+1))+(line*20)
 if (yoffset < 0) {
 yoffset = 0
 }
 console.log(string, yoffset)
 filters.push({
 filter: 'drawtext',
 options: {
 //fontfile:'font.ttf',
 text: string,
 fontsize: 18,
 fontcolor: 'white',
 x: `(main_w${left ? "*0.3" : "*0.7"}-text_w/2)`,
 y: yoffset,
 shadowcolor: 'black',
 shadowx: 2,
 shadowy: 2
 }
 })
 line++;
 }
 index++;
 left = !left
 }


video.videoFilters(filters)
video.noAudio()


video.save('path/to/output.mp4');




The wrap function comes from the package word-wrap (
const wrap = require('word-wrap');
)
Thoughts is a list of strings that aren't too long (with the wrap function they end up being like 2-4 lines).

This is inside an async function.


For some reason only a few lines appear on the output video.
Sometimes, when it doesn't do that, it also throws an error saying that one of the inputs is invalid (while processing filters).
The wrap function seems to work, and also the
yoffset
, I have printed them.

If someone has an idea why, please help me solve this.


I tried chasing the text in thoughts, and for example, this works with no problems (shows the title, and the texts right, left, right, left, ...).


const thoughts = ["Nothing is on fire, fire is on things","Nothing is on fire, fire is on things","Nothing is on fire, fire is on things","Nothing is on fire, fire is on things","Nothing is on fire, fire is on things"]



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Error in Splitting Educational Videos into Segments Using Python (ffmpeg issue) [closed]
28 décembre 2024, par Yahia Mohamed HanbalI created a Python project to split long educational videos into smaller segments, each focused on a single question. The program uses OCR to detect text on video frames, identifies the word "Question," extracts the number following it, and splits the video whenever the number increases.


here is the video i am tring to split ((video))


Here’s an example of the program’s output :


Video loaded: 14071 frames at 60 FPS, duration: 234.52s 
Frame 480, Time 8.00s, Question: 6 
... 
Frame 12360, Time 206.00s, Question: 7 
Creating segment 1: 8.00s to 206.00s 
Error: module 'ffmpeg' has no attribute 'Error'



I’ve shared the full code in a GitHub repository for reference : Automated Video Scene Cutting.


What the Program Does


- 

- Input : A long educational video.
- Processing :

- 

- Detects text in each frame using OCR.
- Searches for the word "Question" followed by a number.
- Monitors when the number increases to identify segment boundaries.








- Output : Creates video segments corresponding to individual questions.








The Problem


The program detects the questions and timestamps correctly, but when it tries to create the segments, I encounter the following error :


Error: module 'ffmpeg' has no attribute 'Error'



What I’ve Tried


- 

- Verified the
ffmpeg-python
library is installed (pip show ffmpeg-python
confirms the installation). - Ensured the
ffmpeg
binary is accessible from the command line. - Reviewed the library documentation to ensure the correct usage of
ffmpeg
. - Tested with different video files to rule out input-specific issues.










Environment Details


- 

- OS : Windows 11
- Python Version : 3.9.13
- Key Libraries :
ffmpeg-python








If anyone has insights into resolving this issue or suggestions for alternative approaches to handle this use case, I’d greatly appreciate your help.


Thank you !


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How we compressed videofile (all format) in android programmatically
29 mars 2017, par prakash choudharyi am stuck with the funtionality for the compressed video before upload to the Amazon s3. i am looking functionality like the whatsup that compressed all the video of the gallery and camera after R&D i got FFmpeg library but that is increasing size of the app apk.Please there is any alternative t ? Any idea about this problem