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Autres articles (80)
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Websites made with MediaSPIP
2 mai 2011, parThis page lists some websites based on MediaSPIP.
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List of compatible distributions
26 avril 2011, parThe table below is the list of Linux distributions compatible with the automated installation script of MediaSPIP. Distribution nameVersion nameVersion number Debian Squeeze 6.x.x Debian Weezy 7.x.x Debian Jessie 8.x.x Ubuntu The Precise Pangolin 12.04 LTS Ubuntu The Trusty Tahr 14.04
If you want to help us improve this list, you can provide us access to a machine whose distribution is not mentioned above or send the necessary fixes to add (...) -
Creating farms of unique websites
13 avril 2011, parMediaSPIP platforms can be installed as a farm, with a single "core" hosted on a dedicated server and used by multiple websites.
This allows (among other things) : implementation costs to be shared between several different projects / individuals rapid deployment of multiple unique sites creation of groups of like-minded sites, making it possible to browse media in a more controlled and selective environment than the major "open" (...)
Sur d’autres sites (13398)
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Cannot open ".mp4" video files using OpenCV 2.4.3, Python 2.7 in Windows 7 machine
28 décembre 2015, par tjmonsiI am currently working on a project that involves reading mp4 video files.
The problem I encountered is that it using Python 2.7 (32 bit), OpenCV 2.4.3 (cv2.pyd) in a Windows 7 machine.The code snippet is as follows :
try:
video = cv2.VideoCapture("video.mp4")
except:
print "Could not open video file"
raise
print video.grab()"
video.grab()
" always returns false : meaning it doesn’t read the file "video.mp4
"
But when we try this :try:
video = cv2.VideoCapture("video.avi")
except:
print "Could not open video file"
raise
print video.grab()"
video.grab()
" returns true : meaning it is able to read ".avi
" files.Another is we have tried this same snippet on Linux and Mac and it seems to work fine, meaning it is able to read both mp4 files and avi files.
This problem is similar to this problem and this problem. Both still don’t have a clear and workable answer.
I would appreciate any help or workaround aside from just using Linux or Mac for programming this as I need this to work on all three systems.
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NDK r8c warning for asm objects regarding "Cortex-A8 erratum" - should I be worried ?
7 décembre 2012, par Alex CohnQuestion : What is the meaning of this warning ? If there are no real-life consequences, I can live with it for a while... But I am concerned with what will happen if our program gets loaded on one of the faulty chips.
Background : With NDK r8c, linking of X264 encoder issues warnings :
cannot scan executable section 1 of libx264.a(dct-a.o) for Cortex-A8 erratum because it has no mapping symbols
... same warning for all assembly files in libx264.
libx264.a itself was cross-compiled on the same machine with the same 4.6 toolchain taken from NDK.
Here are the instructions to easily reproduce the problem (Ubuntu or MacOS) :
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Download x264-snapshot-20121203-2245 from ftp://ftp.videolan.org/pub/x264/snapshots/last_x264.tar.bz2
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Run
./configure --enable-pic --enable-strip --enable-static --cross-prefix=~/android-ndk-r8c/toolchains/arm-linux-androideabi-4.6/prebuilt/linux-x86/bin/arm-linux-androideabi- --sysroot=~/android-ndk-r8c/platforms/android-14/arch-arm --host=arm-linux
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Run
~/android-ndk-r8c/prebuilt/linux-x86/bin/make
It will build the static library, and after that display the Cortex-A8 warning while linking the x265 executable. I am not worried about the compiler warnings, because building libx264.a is done offline, it is not part of our official daily build.
I have reported this as http://code.google.com/p/android/issues/detail?id=40794.
I tried to add the mapping symbols manually to
dct-a.S
following the ARM.com instructions, but this had no effect. -
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Can you "stream" images to ffmpeg to construct a video, instead of saving them to disk ?
8 juillet 2016, par BrandonMy work recently involves programmatically making videos. In python, the typical workflow looks something like this :
import subprocess, Image, ImageDraw
for i in range(frames_per_second * video_duration_seconds):
img = createFrame(i)
img.save("%07d.png" % i)
subprocess.call(["ffmpeg","-y","-r",str(frames_per_second),"-i", "%07d.png","-vcodec","mpeg4", "-qscale","5", "-r", str(frames_per_second), "video.avi"])This workflow creates an image for each frame in the video and saves it to disk. After all images have been saved, ffmpeg is called to construct a video from all of the images.
Saving the images to disk (not the creation of the images in memory) consumes the majority of the cycles here, and does not appear to be necessary. Is there some way to perform the same function, but without saving the images to disk ? So, ffmpeg would be called and the images would be constructed and fed to ffmpeg immediately after being constructed.