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Médias (33)
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Stereo master soundtrack
17 octobre 2011, par
Mis à jour : Octobre 2011
Langue : English
Type : Audio
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#7 Ambience
16 octobre 2011, par
Mis à jour : Juin 2015
Langue : English
Type : Audio
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#6 Teaser Music
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#5 End Title
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#3 The Safest Place
16 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
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#4 Emo Creates
15 octobre 2011, par
Mis à jour : Février 2013
Langue : English
Type : Audio
Autres articles (43)
-
Des sites réalisés avec MediaSPIP
2 mai 2011, parCette page présente quelques-uns des sites fonctionnant sous MediaSPIP.
Vous pouvez bien entendu ajouter le votre grâce au formulaire en bas de page. -
Submit enhancements and plugins
13 avril 2011If you have developed a new extension to add one or more useful features to MediaSPIP, let us know and its integration into the core MedisSPIP functionality will be considered.
You can use the development discussion list to request for help with creating a plugin. As MediaSPIP is based on SPIP - or you can use the SPIP discussion list SPIP-Zone. -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 is the first MediaSPIP stable release.
Its official release date is June 21, 2013 and is announced here.
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 (...)
Sur d’autres sites (6302)
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Convert long video to 16:9 by blurring sides ?
13 mai 2019, par JackChap77I 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
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OpenCV videocapture() not opening video file from hard disk
8 janvier 2020, par Rossi RiccardoDespite 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
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Reading JPEG in ffmpeg
16 juillet 2021, par Paul LammertsmaI'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 !