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The Slip - Artworks
26 septembre 2011, par
Mis à jour : Septembre 2011
Langue : English
Type : Texte
Autres articles (63)
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MediaSPIP Core : La Configuration
9 novembre 2010, parMediaSPIP Core fournit par défaut trois pages différentes de configuration (ces pages utilisent le plugin de configuration CFG pour fonctionner) : une page spécifique à la configuration générale du squelettes ; une page spécifique à la configuration de la page d’accueil du site ; une page spécifique à la configuration des secteurs ;
Il fournit également une page supplémentaire qui n’apparait que lorsque certains plugins sont activés permettant de contrôler l’affichage et les fonctionnalités spécifiques (...) -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, 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 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 (...)
Sur d’autres sites (11718)
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How to fetch live video frame and its timestamp from ffmpeg to python
15 février 2017, par vijiboySearching for an alternative as OpenCV would not provide timestamps for live camera stream, which are required in my computer vision algorithm, I found this excellent article https://zulko.github.io/blog/2013/09/27/read-and-write-video-frames-in-python-using-ffmpeg/
Working up the code on windows I still could’nt get the frame timestamps.
I recollected seeing on ffmpeg forum somewhere that the video filters like showinfo are bypassed when redirected. Is this why the following code does not work as expected ?Expected : It should write video frames to disk as well as print timestamp details.
Actual : It writes video files but does not get the timestamp (showinfo) details.Here’s the code I tried :
import subprocess as sp
import numpy
import cv2
command = [ 'ffmpeg',
'-i', 'e:\sample.wmv',
'-pix_fmt', 'rgb24',
'-vcodec', 'rawvideo',
'-vf', 'showinfo', # video filter - showinfo will provide frame timestamps
'-an','-sn', #-an, -sn disables audio and sub-title processing respectively
'-f', 'image2pipe', '-'] # we need to output to a pipe
pipe = sp.Popen(command, stdout = sp.PIPE, stderr = sp.STDOUT) # TODO someone on ffmpeg forum said video filters (e.g. showinfo) are bypassed when stdout is redirected to pipes???
for i in range(10):
raw_image = pipe.stdout.read(1280*720*3)
img_info = pipe.stdout.read(244) # 244 characters is the current output of showinfo video filter
print "showinfo output", img_info
image1 = numpy.fromstring(raw_image, dtype='uint8')
image2 = image1.reshape((720,1280,3))
# write video frame to file just to verify
videoFrameName = 'Video_Frame{0}.png'.format(i)
cv2.imwrite(videoFrameName,image2)
# throw away the data in the pipe's buffer.
pipe.stdout.flush()So how to still get the frame timestamps from ffmpeg into python code so that it can be used in my computer vision algorithm...
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How to fetch video frame and its timestamp from ffmpeg to python code
14 février 2017, par vijiboySearching for an alternative as OpenCV would not provide timestamps which were required in my computer vision algorithm, I found this excellent article https://zulko.github.io/blog/2013/09/27/read-and-write-video-frames-in-python-using-ffmpeg/
Working up the code on windows I still could’nt get the frame timestamps.
I recollected seeing on ffmpeg forum somewhere that the video filters like showinfo are bypassed when redirected.Here’s what I tried :
import subprocess as sp
import numpy
import cv2
command = [ 'ffmpeg',
'-i', 'e:\sample.wmv',
'-pix_fmt', 'rgb24',
'-vcodec', 'rawvideo',
'-vf', 'showinfo', # video filter - showinfo will provide frame timestamps
'-an','-sn', #-an, -sn disables audio and sub-title processing respectively
'-f', 'image2pipe', '-'] # we need to output to a pipe
pipe = sp.Popen(command, stdout = sp.PIPE, stderr = sp.STDOUT) # TODO someone on ffmpeg forum said video filters (e.g. showinfo) are bypassed when stdout is redirected to pipes???
for i in range(10):
raw_image = pipe.stdout.read(1280*720*3)
img_info = pipe.stdout.read(244) # 244 characters is the current output of showinfo video filter
print "showinfo output", img_info
image1 = numpy.fromstring(raw_image, dtype='uint8')
image2 = image1.reshape((720,1280,3))
# write video frame to file just to verify
videoFrameName = 'Video_Frame{0}.png'.format(i)
cv2.imwrite(videoFrameName,image2)
# throw away the data in the pipe's buffer.
pipe.stdout.flush()So how to still get the frame timestamps from ffmpeg into python code so that it can be used in my computer vision algorithm ...
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Need Help Making Java Script Discord Music Bot
2 février 2017, par GambinoI have tried to use this code to make a discord music bot but i am getting error telling me i need ffmpeg, but how would I implement it into this code ?
index.js file
const Discord = require('discord.js');
const bot = new Discord.Client();
const config = require("./config.json");
const ytdl = require('ytdl-core');
var youtube = require('./youtube.js');
var ytAudioQueue = [];
var dispatcher = null;
bot.on('message', function(message) {
var messageParts = message.content.split(' ');
var command = messageParts[0].toLowerCase();
var parameters = messageParts.splice(1, messageParts.length);
switch (command) {
case "-join" :
message.reply("Attempting to join channel " + parameters[0]);
JoinCommand(parameters[0], message);
break;
case "-play" :
PlayCommand(parameters.join(" "), message);
break;
case "-playqueue":
PlayQueueCommand(message);
break;
}
});
function PlayCommand(searchTerm) {
if(bot.voiceConnections.array().length == 0) {
var defaultVoiceChannel = bot.channels.find(val => val.type === 'voice').name;
JoinCommand(defaultVoiceChannel);
}
youtube.search(searchTerm, QueueYtAudioStream);
}
function PlayQueueCommand(message) {
var queueString = "";
for(var x = 0; x < ytAudioQueue.length; x++) {
queueString += ytAudioQueue[x].videoName + ", ";
}
queueString = queueString.substring(0, queueString.length - 2);
message.reply(queueString);
}
function JoinCommand(ChannelName) {
var voiceChannel = GetChannelByName(ChannelName);
if (voiceChannel) {
voiceChannel.join();
console.log("Joined " + voiceChannel.name);
}
return voiceChannel;
}
/* Helper Methods */
function GetChannelByName(name) {
var channel = bot.channels.find(val => val.name === name);
return channel;
}
function QueueYtAudioStream(videoId, videoName) {
var streamUrl = youtube.watchVideoUrl + videoId;
if (!ytAudioQueue.length) {
ytAudioQueue.push(
{
'streamUrl' : streamUrl,
'videoName' : videoName
}
);
console.log('Queued audio ' + videoName);
PlayStream(ytAudioQueue[0].streamUrl);
}
else {
ytAudioQueue.push(
{
'streamUrl' : streamUrl,
'videoName' : videoName
}
);
}
console.log("Queued audio " + videoName);
}
function PlayStream(streamUrl) {
const streamOptions = {seek: 0, volume: 1};
if (streamUrl) {
const stream = ytdl(streamUrl, {filter: 'audioonly'});
if (dispatcher == null) {
var voiceConnection = bot.voiceConnections.first();
if(voiceConnection) {
console.log("Now Playing " + ytAudioQueue[0].videoname);
dispatcher = bot.voiceConnections.first().playStream(stream, streamOptions);
dispatcher.on('end', () => {
dispatcher = null;
PlayNextStreamInQueue();
});
dispatcher.on('error', (err) => {
console.log(err);
});
}
} else {
dispatcher = bot.voiceConnections.first().playStream(stream, streamOptions);
}
}
}
function PlayNextStreamInQueue() {
ytAudioQueue.splice(0, 1);
if (ytAudioQueue.length != 0) {
console.log("now Playing " + ytAudioQueue[0].videoName);
PlayStream(ytAudioQueue[0].streamUrl);
}
}
bot.login(config.token);youtube.js file
var request = require('superagent');
const API_KEY = "My API KEY";
const WATCH_VIDEO_URL = "https://www.youtube.com/watch?v=";
exports.watchVideoUrl = WATCH_VIDEO_URL;
exports.search = function search(searchKeywords, callback) {
var requestUrl = 'https://www.googleapis.com/youtube/v3/search' + '?part=snippet&q=' + escape(searchKeywords) + '&key=' + API_KEY;
request(requestUrl, (error, response) => {
if (!error && response.statusCode == 200) {
var body = response.body;
if (body.items.length == 0) {
console.log("I Could Not Find Anything!");
return;
}
for (var item of body.items) {
if (item.id.kind == 'youtube#video') {
callback(item.id.videoId, item.snippet.title);
return;
}
}
} else {
console.log("Unexpected error!");
return;
}
});
return;
};Error I am getting when I try to run code :
Joined General
C :\Discord Bot\node_modules\discord.js\src\client\voice\pcm\FfmpegConverterEngine.
js:80
throw new Error(
^
Error : FFMPEG was not found on your system, so audio cannot be played. Please make
sure FFMPEG is installed and in your PATH.