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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 (16)
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Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...) -
Les formats acceptés
28 janvier 2010, parLes commandes suivantes permettent d’avoir des informations sur les formats et codecs gérés par l’installation local de ffmpeg :
ffmpeg -codecs ffmpeg -formats
Les format videos acceptés en entrée
Cette liste est non exhaustive, elle met en exergue les principaux formats utilisés : h264 : H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10 m4v : raw MPEG-4 video format flv : Flash Video (FLV) / Sorenson Spark / Sorenson H.263 Theora wmv :
Les formats vidéos de sortie possibles
Dans un premier temps on (...) -
La sauvegarde automatique de canaux SPIP
1er avril 2010, parDans le cadre de la mise en place d’une plateforme ouverte, il est important pour les hébergeurs de pouvoir disposer de sauvegardes assez régulières pour parer à tout problème éventuel.
Pour réaliser cette tâche on se base sur deux plugins SPIP : Saveauto qui permet une sauvegarde régulière de la base de donnée sous la forme d’un dump mysql (utilisable dans phpmyadmin) mes_fichiers_2 qui permet de réaliser une archive au format zip des données importantes du site (les documents, les éléments (...)
Sur d’autres sites (3973)
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FFmpeg producing a flickering video from images
21 juin 2018, par jjohnn91So I’m trying to make a video of a fractal rotating through some values, much like seen here.
I generate the frames (1000 of them) using a different program written in Java that works just fine, so for the purposes of this scenario assume that all the images are in the target folder and also in numerical order as they need to appear in the video.
I found the following code on the web to stitch images into a video, and I haven’t the faintest idea how it works, and when I run it, all of the images are indeed stitched into a video and placed on the desktop, but the video appears to have one specific frame just jump in at random positions. I’m not totally sure which one, but its one of the earlier frames, somewhere between 1 and 200 of the 1000.
I’ve also tested making two half videos, one using the first 500 frames, and the other using the second 500 frames. The first video (1 -> 500) has flickering, and the second video (501 -> 1000) appears not to have flickering to my observations.
I am seeking help in fixing the flickering behavior, and I will upload the video file to google drive later if asked. The Images are all 1920x1080, and in proper numerical order.
Thanks in advance !
import static org.bytedeco.javacpp.opencv_imgcodecs.*;
import java.io.File;
import org.bytedeco.javacpp.avcodec;
import org.bytedeco.javacv.FFmpegFrameRecorder;
import org.bytedeco.javacv.OpenCVFrameConverter;
public class ImageToMovie{
public static void main(String []args){
String imgPath="C:\\Users\\John\\Images";
String vidPath="C:\\Users\\John\\Desktop\\video.mp4";
String[] links=new String[new File(imgPath).listFiles().length];
File f=new File(imgPath);
File[] f2=f.listFiles();
for(int i=0;icode> -
ffmpeg volumedetect returns unstable result
8 février 2018, par Eric StdlibI am using ffmpeg to calculate the volume of my audio file, but I find that ffmpeg returns different values for different containers (like mp3 v.s. ogg)
Here is an example. I am using an ogg file from Wikimedia Commons, and converting it to mp3, then analyze the volume of both files. For ogg file, I get -3.0 dB for mean volume, but for mp3 file, I get -3.4 dB. When I use other files, I also get different max volume and histogram.
[user@localhost tmp]$ wget https://upload.wikimedia.org/wikipedia/commons/b/b9/Audio_Frequency_tone%2C_Middle_C%2C_C4%2C_261.63hz.ogg -O a.ogg 2> /dev/null
[user@localhost tmp]$ ffmpeg -i a.ogg a.mp3 2> /dev/null
[user@localhost tmp]$ ffmpeg -i a.ogg -af volumedetect tmp.ogg 2>&1 | grep volumedetect
[Parsed_volumedetect_0 @ 0x555f69f3f4a0] n_samples: 88768
[Parsed_volumedetect_0 @ 0x555f69f3f4a0] mean_volume: -3.0 dB
[Parsed_volumedetect_0 @ 0x555f69f3f4a0] max_volume: 0.0 dB
[Parsed_volumedetect_0 @ 0x555f69f3f4a0] histogram_0db: 27541
[user@localhost tmp]$ ffmpeg -i a.mp3 -af volumedetect tmp.mp3 2>&1 | grep volumedetect
[Parsed_volumedetect_0 @ 0x55fd62be4740] n_samples: 88768
[Parsed_volumedetect_0 @ 0x55fd62be4740] mean_volume: -3.4 dB
[Parsed_volumedetect_0 @ 0x55fd62be4740] max_volume: -0.0 dB
[Parsed_volumedetect_0 @ 0x55fd62be4740] histogram_0db: 21340
[user@localhost tmp]$Why is this bug happening ? Which one should I believe ?
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Power-Up your Matomo installation with Custom Reports
13 novembre 2017, par InnoCraft — PluginsWould you like to create a report in Matomo (Piwik) with just the data you want and nothing else ? Would you like to be free to decide the shape of it ? Are you struggling with the Matomo database and wish you could have an easy interface to create the report you want ? Are you tired of exporting your data in a spreadsheet ? Since last October, there’s a solution and it’s called Custom Reports.
With custom reports you will :
- get a user-friendly interface to create the report you wish
- see all the possible combinations to create the report you desire
- reveal new data combinations which were not directly available in Matomo (Piwik)
User friendly interface
The time when you created your reports from MySQL database is over. Now with custom reports you can create the report you want and get the data you need in just a few seconds.
Custom reports are part of the main user interface. You can access them in just one click :As you can see from above the interface is straightforward, just indicate the name of your report and start to select the dimensions and metrics you would like to see.
See all the possible combinations to create the report you desire
As a user the big question has always been, how much data does Matomo (Piwik) collect and where can I find a list of all those data points ? Here you have the solution. Matomo is gathering in custom reports all the possible combinations so you can select only the data you want :
Creating such a report is going to take you no more than a minute. As with any reports within Matomo (Piwik), you can easily get information regarding the specific data you are using by hovering your mouse on the question mark next to each dimension and metric :
Make new combinations which were not directly available in Matomo
By default, not all combinations are possible within the Matomo (Piwik) user interface. Now thanks to Custom Reports, you can easily design the report you want. Here is for example a report crossing page titles and page url :
You can then identify if there are any duplicate titles within your content and see the associated URL in a single report.
You could also identify easily what are your most viewed entry page from Google :
Custom reports can also be used with segments and filters in order to get even more specific data.
Here we have an example of a custom report designed to take into consideration only the visits coming from Wikipedia :What is the next step ?
As you understood it, Matomo (Piwik) custom reports is the must-have plugin in order to take your Matomo to the next level. Why wait ? Matomo custom reports are available through the marketplace.
If you are not sure yet, you can always give it a try within our Matomo Cloud (formerly Piwik Cloud) infrastructure.