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  • MediaSPIP 0.1 Beta version

    25 avril 2011, par

    MediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
    The zip file provided here only contains the sources of MediaSPIP in its standalone version.
    To get a working installation, you must manually install all-software dependencies on the server.
    If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...)

  • Mise à jour de la version 0.1 vers 0.2

    24 juin 2013, par

    Explications des différents changements notables lors du passage de la version 0.1 de MediaSPIP à la version 0.3. Quelles sont les nouveautés
    Au niveau des dépendances logicielles Utilisation des dernières versions de FFMpeg (>= v1.2.1) ; Installation des dépendances pour Smush ; Installation de MediaInfo et FFprobe pour la récupération des métadonnées ; On n’utilise plus ffmpeg2theora ; On n’installe plus flvtool2 au profit de flvtool++ ; On n’installe plus ffmpeg-php qui n’est plus maintenu au (...)

  • Personnaliser en ajoutant son logo, sa bannière ou son image de fond

    5 septembre 2013, par

    Certains thèmes prennent en compte trois éléments de personnalisation : l’ajout d’un logo ; l’ajout d’une bannière l’ajout d’une image de fond ;

Sur d’autres sites (14242)

  • Reliable video decode-(heavy edit)-encode with Mediacodec

    27 mai 2017, par Jason M

    I am building a Android app that does heavy video processing. I have read some background and examples from bigflake as well as the official docs but did not get a final answer. Here is what I would like to do in my app :

    1. Decode a mp4 video into raw yuv frames ;
    2. Edit each frame with a lot of computation, including flipping and cropping, preferably with my existing native C++ ;
    3. Encode the raw frames into another video.

    I am using API22 for robustness since "All video codecs support flexible YUV 4:2:0 buffers since LOLLIPOP_MR1." Unfortunately, when I call

    encoder.getInputImage();

    instead of

    encoder.getInputBuffer();

    I get a null, similar to This post with no answer. Is this a common issue ? Do I have other options to decode-edit-encode a video without either rendering to a Surface or using FFMPEG, which is a headache to build and debug ?

  • Cannot open video in OpenCV (Python)

    22 mai 2017, par Abeer Yosef

    I am trying to open video in openCV but it is not working i found solutions by adding full path i.e "D :/Folder1/Folder2/1.avi", converting video to .avi instead of mp4, copy the dll file from open cv to python folder after changing it is name by opencv version and windows 64 bit ffmpeg opencv_ffmpeg320_64.dll
    my opencv version 3.2.0
    windows 64
    python2.7 and Anaconda2

    I am beginner in Python and unfortunately nothing of the above solved my problem.

    below my code snippet :

    import numpy as np
    import cv2

    cap = cv2.VideoCapture('1.avi')
    if cap.isOpened():
       print "opend"
    else:
       print "not opend"

    while(cap.isOpened()):
       ret, frame = cap.read()

       gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

       cv2.imshow('frame',gray)
       if cv2.waitKey(1) & 0xFF == ord('q'):
           break

    cap.release()
    cv2.destroyAllWindows()
  • Cannot open video in OpenCV (Python)

    19 mai 2017, par Abeer Yosef

    I am trying to open video in openCV but it is not working i found solutions by adding full path i.e "D :/Folder1/Folder2/1.avi", converting video to .avi instead of mp4, copy the dll file from open cv to python folder after changing it is name by opencv version and windows 64 bit ffmpeg opencv_ffmpeg320_64.dll
    my opencv version 3.2.0
    windows 64
    python2.7 and Anaconda2

    I am beginner in Python and unfortunately nothing of the above solved my problem.

    below my code snippet :

    import numpy as np
    import cv2

    cap = cv2.VideoCapture('1.avi')
    if cap.isOpened():
       print "opend"
    else:
       print "not opend"

    while(cap.isOpened()):
       ret, frame = cap.read()

       gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

       cv2.imshow('frame',gray)
       if cv2.waitKey(1) & 0xFF == ord('q'):
           break

    cap.release()
    cv2.destroyAllWindows()