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  • 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

  • Diogene : création de masques spécifiques de formulaires d’édition de contenus

    26 octobre 2010, par

    Diogene est un des plugins ? SPIP activé par défaut (extension) lors de l’initialisation de MediaSPIP.
    A quoi sert ce plugin
    Création de masques de formulaires
    Le plugin Diogène permet de créer des masques de formulaires spécifiques par secteur sur les trois objets spécifiques SPIP que sont : les articles ; les rubriques ; les sites
    Il permet ainsi de définir en fonction d’un secteur particulier, un masque de formulaire par objet, ajoutant ou enlevant ainsi des champs afin de rendre le formulaire (...)

  • Gestion des droits de création et d’édition des objets

    8 février 2011, par

    Par défaut, beaucoup de fonctionnalités sont limitées aux administrateurs mais restent configurables indépendamment pour modifier leur statut minimal d’utilisation notamment : la rédaction de contenus sur le site modifiables dans la gestion des templates de formulaires ; l’ajout de notes aux articles ; l’ajout de légendes et d’annotations sur les images ;

Sur d’autres sites (12415)

  • Convert long video to 16:9 by blurring sides ?

    13 mai 2019, par JackChap77

    I am taking screenshots in python using selenium and want to convert them to a video. At the moment I have a black border around the top and bottom but I want it to be a blured image of the video in the background (the video is just a still image and audio)

    Used the filter from https://stackoverflow.com/a/30832903/8502422 but it returns ’invalid too big or non positive size’

    ffmpeg -loop 1 -i image.png -i audio.mp3 -c:v libx264 -preset veryslow -crf 0 -c:a copy -lavfi "[0:v]scale=iw:2*trunc(iw*16/18),boxblur=luma_radius=min(h\,w)/20:luma_power=1:chroma_radius=min(cw\,ch)/20:chroma_power=1[bg];[bg][0:v]overlay=(W-w)/2:(H-h)/2,setsar=1" -shortest post.mp4
  • OpenCV videocapture() not opening video file from hard disk

    8 janvier 2020, par Rossi Riccardo

    Despite being a lot of threads on the issue of open CV not being able to open videos i still can’t manage to solve it.

    I’m trying to open and extract frames using openCV with spyder (os : windows 10, python 3.7.4). As far as i know (provided the file path is correct) cv2.read returns a 0 if either the codec is unsupported (converted the video to H264 to be sure and also downloaded a test avi used to test out this very issue in an older post ) or if there is a problem with the ffmpeg dependency.

    Since i thought this was the source of the issue i added conda and phyton to the PATH with the SETX command and, after that, ended up copying ffmpeg dll and cv2 folders everywhere since i couldn’t understand well were i was supposed to paste it. Results is that i still can’t make it work and can’t even opt to try to make the frame extractor directly with ffmpeg since even that one gives me an error with a copypasted function from it’s site.

    Here is the code :

    import os
    import ffmpeg


    def read_frame_as_jpeg(in_filename, frame_num):
       out, err = (
           ffmpeg
           .input(in_filename)
           .filter('select', 'gte(n,{})'.format(frame_num))
           .output('pipe:', vframes=1, format='image2', vcodec='mjpeg')
           .run(capture_stdout=True)
       )

    # Read the video from specified path
    #cam = cv2.VideoCapture(r'C:\MY\folder\264H.mp4')
    cam = cv2.VideoCapture(r'C:\Users\name\Downloads\drop.avi')
    fps=60
    vid_start=371
    vid_end=377
    sens=20
    out_dir=r"C:\MY\folder"
    out_dir=out_dir+'\\'
    print(out_dir)

    stri="drop.avi"#even tried putting the fiel in the same directory, no change
    read_frame_as_jpeg(stri, 1)

    # frame
    currentframe = 0

    while(True):

       # reading from frame
       ret,frame = cam.read()

       print(currentframe)
       if ret and currentframe>= (fps*vid_start)-sens and currentframe<= (fps*vid_end)+sens:
           # if video is still left continue creating images
           name = out_dir+ str(currentframe) + '.bmp'
           print ('Creating...' + name)

           # writing the extracted images
           cv2.imwrite(name, frame)

           # increasing counter so that it will
           # show how many frames are created
           currentframe += 1
       else:
           break

    # Release all space and windows once done
    cam.release()
    cv2.destroyAllWindows()  

    The ffpeg error that i get is

    [WinError 2] Impossible to find the specified file

    while on the other hand since videocapture returns a 0 it doesn’t even enter the loop so i get just a "0" print

  • Reading JPEG in ffmpeg

    16 juillet 2021, par Paul Lammertsma

    I'm trying to get ffmpeg to encode several individual JPEG images into a video on Android. I've successfully built it for Android (see the configuration string at the end of this post).

    



    I can encode an h.263+ video with randomly generated frame content, and ffmpeg otherwise appears to work well.

    



    A similar question suggests that the following code should be sufficient to load an image into an AvFrame :

    



    // Make sure we have the codecs
av_register_all();

AVFormatContext *pFormatCtx;
int ret = av_open_input_file(&pFormatCtx, imageFileName, NULL, 0, NULL);

if (ret != 0) {
    printf("Can't open image file '%s': code %d, %s",
        imageFileName, ret, strerror(AVERROR(ret)));
}


    



    The above returns the correct absolute file path and error :

    



    


    Failed '/sdcard/DCIM/Camera/IMG083.jpg' : code -1094995529, Unknown error : 1094995529

    


    



    Incidentally, if I omit av_register_all(), it returns with error 2.

    



    I've compiled ffmpeg with the following arguments :

    



    

    


    ./configure —target-os=linux 
 —prefix=$PREFIX 
 —enable-cross-compile 
 —extra-libs="-lgcc" 
 —arch=arm 
 —cc=$PREBUILT/bin/arm-linux-androideabi-gcc 
 —cross-prefix=$PREBUILT/bin/arm-linux-androideabi- 
 —nm=$PREBUILT/bin/arm-linux-androideabi-nm 
 —sysroot=$PLATFORM 
 —extra-cflags=" -O3 -fpic -DANDROID -DHAVE_SYS_UIO_H=1 -Dipv6mr_interface=ipv6mr_ifindex -fasm -Wno-psabi -fno-short-enums -fno-strict-aliasing -finline-limit=300 $OPTIMIZE_CFLAGS " 
 —enable-shared 
 —enable-static 
 —extra-ldflags="-Wl,-rpath-link=$PLATFORM/usr/lib -L$PLATFORM/usr/lib -nostdlib -lc -lm -ldl -llog" 
 —disable-everything 
 —enable-demuxer=mov 
 —enable-demuxer=h264 
 —disable-ffplay 
 —enable-protocol=file 
 —enable-avformat 
 —enable-avcodec 
 —enable-decoder=mjpeg 
 —enable-decoder=png 
 —enable-parser=h264 
 —enable-encoder=h263 
 —enable-encoder=h263p 
 —disable-network 
 —enable-zlib 
 —disable-avfilter 
 —disable-avdevice

    


    


    



    Any suggestions would be most welcome !