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  • MediaSPIP v0.2

    21 juin 2013, par

    MediaSPIP 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, par

    MediaSPIP 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 (...)

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

Sur d’autres sites (4114)

  • OpenCV returns an Array of All Zeros on video.read

    19 janvier 2020, par Ikechukwu Anude

    Below is the relevant code

    import cv2 as cv
    import numpy as np

    video = cv.VideoCapture(0) #tells obj to use built in camera\

    #create a face cascade object
    face_cascade  =
    cv.CascadeClassifier(r"C:\Users\xxxxxxx\AppData\Roaming\Python\Python36\site-
    packages\cv2\data\haarcascade_frontalcatface.xml")

    a = 1
    #create loop to display a video
    while True:
       a = a + 1
       check, frame = video.read()
       print(frame)

       #converts to a gray scale img
       gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)

       #create the faces
       faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)

       for(x, y, w, h) in faces:
           print(x, y, w, h)

       #show the image
       cv.imshow('capturing', gray)

       key = cv.waitKey(1) #gen a new frame every 1ms

       if key == ord('q'): #once you enter 'q' the loop will be exited
           break

    print(a) #this will print the number of frames

    #captures the first frame
    video.release() #end the web cam

    #destroys the windows when you are not defined
    cv.destroyAllWindows()

    The code displays a video captured from my webcam camera. Despite that, OpevCV doesn’t seem to be processing any frames as all the frames look like this

    [[0 0 0]
     [0 0 0]
     [0 0 0]
     ...
     [0 0 0]
     [0 0 0]
     [0 0 0]]]

    which I assume means that they are empty.

    This I believe is preventing the algorithm from being able to detect my face in the frame. I have a feeling that the issue lies in the ffmpeg codec, but I’m not entirely sure how to proceed even if that is the case.

    OS : Windows 10
    Language : Python

    EDIT : The Frame is not empty but all the values in the array seem to be ’0’

    Why is the frame empty and how can I get OpenCV to detect my face in the frame ?

  • OpenCV returns an Empty Frame on video.read

    20 mars 2019, par Ikechukwu Anude

    Below is the relevant code

    import cv2 as cv
    import numpy as np

    video = cv.VideoCapture(0) #tells obj to use built in camera\

    #create a face cascade object
    face_cascade  =
    cv.CascadeClassifier(r"C:\Users\xxxxxxx\AppData\Roaming\Python\Python36\site-
    packages\cv2\data\haarcascade_frontalcatface.xml")

    a = 1
    #create loop to display a video
    while True:
       a = a + 1
       check, frame = video.read()
       print(frame)

       #converts to a gray scale img
       gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)

       #create the faces
       faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)

       for(x, y, w, h) in faces:
           print(x, y, w, h)

       #show the image
       cv.imshow('capturing', gray)

       key = cv.waitKey(1) #gen a new frame every 1ms

       if key == ord('q'): #once you enter 'q' the loop will be exited
           break

    print(a) #this will print the number of frames

    #captures the first frame
    video.release() #end the web cam

    #destroys the windows when you are not defined
    cv.destroyAllWindows()

    The code displays a video captured from my webcam camera. Despite that, OpevCV doesn’t seem to be processing any frames as all the frames look like this

    [[0 0 0]
     [0 0 0]
     [0 0 0]
     ...
     [0 0 0]
     [0 0 0]
     [0 0 0]]]

    which I assume means that they are empty.

    This I believe is preventing the algorithm from being able to detect my face in the frame. I have a feeling that the issue lies in the ffmpeg codec, but I’m not entirely sure how to proceed even if that is the case.

    OS : Windows 10
    Language : Python

    Why is the frame empty and how can I get OpenCV to detect my face in the frame ?

  • JavaCV grab frame method delays and returns old frames

    27 janvier 2019, par Null Pointer

    I’m trying to create a video player in Java using JavaCV and its FFmpegFrameGrabber class. Simply, Inside a loop, I use

    .grab() to get a frame and then paint it on a panel

    Problem is, player gets delayed. For example, after 30 seconds passes, in video only 20 seconds passes.

    Source is ok. Other players can play the stream normally. Problem is possibly the long printing time.

    What I do not understand is that : "why does .grab() method brings me a frame from 10 seconds ago ?" Shouldn’t it just grab the frame which is being streamed at the moment ?

    (Sorry for not providing a working code, it’s all over different huge classes)

    I use the following grabber options (selected by some other colleague) :

    grabber.setImageHeight(480);
    grabber.setImageWidth(640);
    grabber.setOption("reconnect", "1");
    grabber.setOption("reconnect_at_eof", "1");
    grabber.setOption("reconnect_streamed", "1");
    grabber.setOption("reconnect_delay_max", "2");
    grabber.setOption("preset", "veryfast");
    grabber.setOption("probesize", "192");
    grabber.setOption("tune", "zerolatency");
    grabber.setFrameRate(30.0);
    grabber.setOption("buffer_size", "" + this.bufferSize);
    grabber.setOption("max_delay", "500000");
    grabber.setOption("stimeout", String.valueOf(6000000));
    grabber.setOption("loglevel", "quiet");
    grabber.start();

    Thanks