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Les tâches Cron régulières de la ferme
1er décembre 2010, parLa gestion de la ferme passe par l’exécution à intervalle régulier de plusieurs tâches répétitives dites Cron.
Le super Cron (gestion_mutu_super_cron)
Cette tâche, planifiée chaque minute, a pour simple effet d’appeler le Cron de l’ensemble des instances de la mutualisation régulièrement. Couplée avec un Cron système sur le site central de la mutualisation, cela permet de simplement générer des visites régulières sur les différents sites et éviter que les tâches des sites peu visités soient trop (...) -
Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page.
Sur d’autres sites (11190)
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Amazon S3 : how to combine all images into a video ?
9 septembre 2021, par scientifficI'm in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.



I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn't seem like an option.



But how would I run a task like the following using S3, where I combine all images into a video ?



The ffmpeg command is



ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y




And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpg



When I try to do the following, I get an error with ffmpeg not knowing what to do with :



https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg




Note, this whole video compilation process works fine for me locally, so I know in theory it should work.


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Amazon S3 : how to combine all images into a video ?
17 mars 2015, par scientifficI’m in my Rails app, I enable users to upload images, which get processed using ffmpeg to create a video slideshow.
I have this working locally, but am wondering how to do this when deploying the app using Heroku. In particular, I know Heroku has limited storage and has a read-only filesystem, so using Carrierwave without S3 or an external storage option doesn’t seem like an option.
But how would I run a task like the following using S3, where I combine all images into a video ?
The ffmpeg command is
ffmpeg -r 5 -i https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg output.mp4 -y
And the AWS "folder" contains the following :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img001.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img002.jpg
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img003.jpgWhen I try to do the following, I get an error with ffmpeg not knowing what to do with :
https://s3.amazonaws.com/[]/uploads/image/image_file/26/img%03d.jpg
Note, this whole video compilation process works fine for me locally, so I know in theory it should work.
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Opencv mask object from rtsp camera
19 août 2016, par user3689259i want to add an image as mask in camera live frame after detect specific logo .
if possible Output rtmp ://127.0.0.1:1935/live/mycamOutput ,, I have nginx-rtmp the rtmp can work if we add it in source , pls any one can help me//opencv
#include "opencv2/imgcodecs.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/videoio.hpp"
#include <opencv2></opencv2>highgui.hpp>
#include <opencv2></opencv2>video.hpp>
//C
#include
//C++
#include <iostream>
#include <sstream>
using namespace cv;
using namespace std;
// Global variables
Mat frame; //current frame
Mat fgMaskMOG2; //fg mask fg mask generated by MOG2 method
Ptr<backgroundsubtractor> pMOG2; //MOG2 Background subtractor
int keyboard; //input from keyboard
/** Function Headers */
void help();
void processVideo(char* videoFilename);
void processImages(char* firstFrameFilename);
void help()
{
cout
<< "--------------------------------------------------------------------------" << endl
<< "This program shows how to use background subtraction methods provided by " << endl
<< " OpenCV. You can process both videos (-vid) and images (-img)." << endl
<< endl
<< "Usage:" << endl
<< "./bg_sub {-vid <video filename="filename">|-img <image filename="filename">}" << endl
<< "for example: ./bg_sub -vid video.avi" << endl
<< "or: ./bg_sub -img /data/images/1.png" << endl
<< "--------------------------------------------------------------------------" << endl
<< endl;
}
/**
* @function main
*/
int main(int argc, char* argv[])
{
//print help information
help();
//check for the input parameter correctness
if(argc != 3) {
cerr <<"Incorret input list" << endl;
cerr <<"exiting..." << endl;
return EXIT_FAILURE;
}
//create GUI windows
namedWindow("Frame");
namedWindow("FG Mask MOG 2");
//create Background Subtractor objects
pMOG2 = createBackgroundSubtractorMOG2(); //MOG2 approach
if(strcmp(argv[1], "-vid") == 0) {
//input data coming from a video
processVideo(argv[2]);
}
else if(strcmp(argv[1], "-img") == 0) {
//input data coming from a sequence of images
processImages(argv[2]);
}
else {
//error in reading input parameters
cerr <<"Please, check the input parameters." << endl;
cerr <<"Exiting..." << endl;
return EXIT_FAILURE;
}
//destroy GUI windows
destroyAllWindows();
return EXIT_SUCCESS;
}
/**
* @function processVideo
*/
void processVideo(char* videoFilename) {
//create the capture object
VideoCapture capture(videoFilename);
if(!capture.isOpened()){
//error in opening the video input
cerr << "Unable to open video file: " << videoFilename << endl;
exit(EXIT_FAILURE);
}
//read input data. ESC or 'q' for quitting
while( (char)keyboard != 'q' && (char)keyboard != 27 ){
//read the current frame
if(!capture.read(frame)) {
cerr << "Unable to read next frame." << endl;
cerr << "Exiting..." << endl;
exit(EXIT_FAILURE);
}
//update the background model
pMOG2->apply(frame, fgMaskMOG2);
//get the frame number and write it on the current frame
stringstream ss;
rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
cv::Scalar(255,255,255), -1);
ss << capture.get(CAP_PROP_POS_FRAMES);
string frameNumberString = ss.str();
putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
//show the current frame and the fg masks
imshow("Frame", frame);
imshow("FG Mask MOG 2", fgMaskMOG2);
//get the input from the keyboard
keyboard = waitKey( 30 );
}
//delete capture object
capture.release();
}
/**
* @function processImages
*/
void processImages(char* fistFrameFilename) {
//read the first file of the sequence
frame = imread(fistFrameFilename);
if(frame.empty()){
//error in opening the first image
cerr << "Unable to open first image frame: " << fistFrameFilename << endl;
exit(EXIT_FAILURE);
}
//current image filename
string fn(fistFrameFilename);
//read input data. ESC or 'q' for quitting
while( (char)keyboard != 'q' && (char)keyboard != 27 ){
//update the background model
pMOG2->apply(frame, fgMaskMOG2);
//get the frame number and write it on the current frame
size_t index = fn.find_last_of("/");
if(index == string::npos) {
index = fn.find_last_of("\\");
}
size_t index2 = fn.find_last_of(".");
string prefix = fn.substr(0,index+1);
string suffix = fn.substr(index2);
string frameNumberString = fn.substr(index+1, index2-index-1);
istringstream iss(frameNumberString);
int frameNumber = 0;
iss >> frameNumber;
rectangle(frame, cv::Point(10, 2), cv::Point(100,20),
cv::Scalar(255,255,255), -1);
putText(frame, frameNumberString.c_str(), cv::Point(15, 15),
FONT_HERSHEY_SIMPLEX, 0.5 , cv::Scalar(0,0,0));
//show the current frame and the fg masks
imshow("Frame", frame);
imshow("FG Mask MOG 2", fgMaskMOG2);
//get the input from the keyboard
keyboard = waitKey( 30 );
//search for the next image in the sequence
ostringstream oss;
oss << (frameNumber + 1);
string nextFrameNumberString = oss.str();
string nextFrameFilename = prefix + nextFrameNumberString + suffix;
//read the next frame
frame = imread(nextFrameFilename);
if(frame.empty()){
//error in opening the next image in the sequence
cerr << "Unable to open image frame: " << nextFrameFilename << endl;
exit(EXIT_FAILURE);
}
//update the path of the current frame
fn.assign(nextFrameFilename);
}
}
</image></video></backgroundsubtractor></sstream></iostream>