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  • Le profil des utilisateurs

    12 avril 2011, par

    Chaque utilisateur dispose d’une page de profil lui permettant de modifier ses informations personnelle. Dans le menu de haut de page par défaut, un élément de menu est automatiquement créé à l’initialisation de MediaSPIP, visible uniquement si le visiteur est identifié sur le site.
    L’utilisateur a accès à la modification de profil depuis sa page auteur, un lien dans la navigation "Modifier votre profil" est (...)

  • Websites made ​​with MediaSPIP

    2 mai 2011, par

    This page lists some websites based on MediaSPIP.

  • Ajouter des informations spécifiques aux utilisateurs et autres modifications de comportement liées aux auteurs

    12 avril 2011, par

    La manière la plus simple d’ajouter des informations aux auteurs est d’installer le plugin Inscription3. Il permet également de modifier certains comportements liés aux utilisateurs (référez-vous à sa documentation pour plus d’informations).
    Il est également possible d’ajouter des champs aux auteurs en installant les plugins champs extras 2 et Interface pour champs extras.

Sur d’autres sites (13487)

  • 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