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  • 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 ;

  • Ecrire une actualité

    21 juin 2013, par

    Présentez les changements dans votre MédiaSPIP ou les actualités de vos projets sur votre MédiaSPIP grâce à la rubrique actualités.
    Dans le thème par défaut spipeo de MédiaSPIP, les actualités sont affichées en bas de la page principale sous les éditoriaux.
    Vous pouvez personnaliser le formulaire de création d’une actualité.
    Formulaire de création d’une actualité Dans le cas d’un document de type actualité, les champs proposés par défaut sont : Date de publication ( personnaliser la date de publication ) (...)

Sur d’autres sites (10428)

  • 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 !