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Autres articles (23)
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Publier sur MédiaSpip
13 juin 2013Puis-je poster des contenus à partir d’une tablette Ipad ?
Oui, si votre Médiaspip installé est à la version 0.2 ou supérieure. Contacter au besoin l’administrateur de votre MédiaSpip pour le savoir -
Encoding and processing into web-friendly formats
13 avril 2011, parMediaSPIP automatically converts uploaded files to internet-compatible formats.
Video files are encoded in MP4, Ogv and WebM (supported by HTML5) and MP4 (supported by Flash).
Audio files are encoded in MP3 and Ogg (supported by HTML5) and MP3 (supported by Flash).
Where possible, text is analyzed in order to retrieve the data needed for search engine detection, and then exported as a series of image files.
All uploaded files are stored online in their original format, so you can (...) -
Organiser par catégorie
17 mai 2013, parDans MédiaSPIP, une rubrique a 2 noms : catégorie et rubrique.
Les différents documents stockés dans MédiaSPIP peuvent être rangés dans différentes catégories. On peut créer une catégorie en cliquant sur "publier une catégorie" dans le menu publier en haut à droite ( après authentification ). Une catégorie peut être rangée dans une autre catégorie aussi ce qui fait qu’on peut construire une arborescence de catégories.
Lors de la publication prochaine d’un document, la nouvelle catégorie créée sera proposée (...)
Sur d’autres sites (4255)
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Video error while processing
19 décembre 2012, par joelmaranhaoTrying out paperclip-ffmpeg gem with Rails 3.1
In my model
class Video < ActiveRecord::Base
belongs_to :creative_service
has_attached_file :asset, :styles => {
:medium => { :geometry => "640x480", :format => 'flv' },
:thumb => { :geometry => "100x100#", :format => 'jpg', :time => 10 }
}, :processors => [:ffmpeg]
endThe error message when uploading a MPG file :
Video error while processing video for MOV0652220121219-19138-1ybt1gp: Command 'ffmpeg -i :source -y -s 640x480 :dest' returned 1. Expected 0
I am a total newbie with video processing. Any hint is welcome.
j.
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Video Processing via Bluetooth
16 juillet 2012, par kerim yucelThe application I am currently developing processes each frames using a native code and it should record the video as well. I tried SDK for this purpose but certain restrictions didn't allow me to do so, so I switched to NDK for a video recording code piece.
Apparently, my algorithm seriously uses CPU, upto %70 percent in the worst case. Before I actually start working on a video recorder, I wanted to try the following approach.
I will process the preview frames using an android phone and send it to another phone (which uses same application and same model) for recording. My questions are :
1.Should I try WiFi instead of Bluetooth ? I am developing the application for API 8 so I don't have WiFi-Direct, therefore I should do some socket programming, which would possibly complicate things a bit for me since Bluetooth can easily be set up using SDK.
2- Will I be available to record the frames as a video at the receiving end ? I will receive each frame with certain metadata embedded to it and should record them using the other phone. I doubt I will be able to do it using SDK, so NDK along with ffmpeg seems to be the best choice ? Any suggestions related to this question will be more than welcome.
3-Here comes the best part. I am recording the video with the lowest resolution that,after compressed, takes no more than 14mb space for a 10 minute long video. I have to reach the raw frames to send it to other end, encode and compress it. Any ideas related to possible flooding of Bluetooth/Wi-Fi because of big-sized raw frames ?
Any other approaches and answers will be much appreciated. Thanks.
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How to solve bad instruction `vadd.i16 q0,q0,q0' when attempting to check gcc for neon instruction
6 juillet 2012, par newentryChecking gcc supports failed for neon instruction vadd.i16 q0,q0,q0
test.c
int main ()
{
__asm__("vadd.i16 q0, q0, q0"); return 0;
}
arm-linux-androideabi-gcc test.c
/tmp/ccfc8m0G.s: Assembler messages:
/tmp/ccfc8m0G.s:24: Error: bad instruction `vadd.i16 q0,q0,q0'Tried with flags -mcpu=cortex-a8 -mfpu=neon but stil no success
Above code was used to test gcc support for neon instruction.
Actually i am trying to build x264 with NEON support for ARM platformAfter running configure script
x264 config log file containsCommand line options : "—cross-prefix=arm-linux-androideabi-" "—enable-pic" "—extra- cflags=-mcpu=cortex-a8" "—host=arm-linux"
checking whether arm-linux-androideabi-gcc works... yes
checking whether arm-linux-androideabi-gcc supports for( int i = 0; i < 9; i++ ); with -std=gnu99... yes
checking whether arm-linux-androideabi-gcc supports __asm__("rev ip, ip");... yes
checking whether arm-linux-androideabi-gcc supports __asm__("movt r0, #0");... yes
checking whether arm-linux-androideabi-gcc supports __asm__("vadd.i16 q0, q0, q0");... no
arm-linux-androideabi-gcc conftest.c -Wall -I. -I$(SRCPATH) -mcpu=cortex-a8 -std=gnu99 -lm -o conftest
E:\cygwin\tmp\ccVtVI1i.s: Assembler messages:
E:\cygwin\tmp\ccVtVI1i.s:24: Error: bad instruction `vadd.i16 q0,q0,q0'
--------------------------------------------------
Failed program was:
--------------------------------------------------
int main () { __asm__("vadd.i16 q0, q0, q0"); return 0; }
--------------------------------------------------
config.h contains
#define HAVE_MALLOC_H 1
#define HAVE_ARMV6 1
#define HAVE_ARMV6T2 1
#define ARCH_ARM 1
#define SYS_LINUX 1
#define HAVE_VECTOREXT 1
#define fseek fseeko
#define ftell ftello
#define HAVE_GPL 1
#define HAVE_INTERLACED 1
#define HAVE_ALTIVEC 0
#define HAVE_ALTIVEC_H 0
#define HAVE_MMX 0
#define HAVE_NEON 0
#define HAVE_BEOSTHREAD 0
#define HAVE_POSIXTHREAD 0
#define HAVE_WIN32THREAD 0
#define HAVE_THREAD 0
#define HAVE_LOG2F 0
#define HAVE_VISUALIZE 0
#define HAVE_SWSCALE 0
#define HAVE_LAVF 0
#define HAVE_FFMS 0
#define HAVE_GPAC 0
#define HAVE_GF_MALLOC 0
#define HAVE_AVS 0
#define HAVE_CPU_COUNT 0
Running make command build x264 static lib based on above config.h which contains HAVE_NEON 0
**Compiler Version**
arm-linux-androideabi-gcc -v
Using built-in specs.
Target: arm-linux-androideabi
Configured with: /tmp/ndk-digit/src/build/../gcc/gcc-4.4.3/configure --prefix=/usr/local/google/digit/repo/opensource/ndk/toolchains/arm-linux-androideabi-4.4.3/prebuilt/windows --target=arm-linux-androideabi --host=i586-mingw32msvc --build=x86_64-linux-gnu --with-gnu-as --with-gnu-ld --enable-languages=c,c++ --with-gmp=/tmp/ndk-digit/build/toolchain/temp-install --with-mpfr=/tmp/ndk-digit/build/toolchain/temp-install --disable-libssp --enable-threads --disable-nls --disable-libmudflap --disable
-libgomp --disable-libstdc__-v3 --disable-sjlj-exceptions --disable-shared --disable-tls --with-float=soft --with-fpu=vfp --with-arch=armv5te --enable-target-optspace --enable-initfini-array --disable-nls --prefix=/usr/local/google/digit/repo/opensource/ndk/toolchains/arm-linux-androideabi-4.4.3/prebuilt/windows --with-sysroot=/usr/local/google/digit/repo/opensource/ndk/toolchains/arm-linux-androideabi-4.4.3/prebuilt/windows/sysroot --with-binutils-version=2.20.1 --with-mpfr-version=2.4.1 --with
-gmp-version=4.2.4 --with-gcc-version=4.4.3 --with-gdb-version=6.6 --with-arch=armv5te --program-transform-name='s,^,arm-linux-androideabi-,'
Thread model: posix
gcc version 4.4.3 (GCC)Goal is to utilize neon enabled ARM processor to boost x264 encoder performance...