
Recherche avancée
Autres articles (106)
-
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. -
Ajout d’utilisateurs manuellement par un administrateur
12 avril 2011, parL’administrateur d’un canal peut à tout moment ajouter un ou plusieurs autres utilisateurs depuis l’espace de configuration du site en choisissant le sous-menu "Gestion des utilisateurs".
Sur cette page il est possible de :
1. décider de l’inscription des utilisateurs via deux options : Accepter l’inscription de visiteurs du site public Refuser l’inscription des visiteurs
2. d’ajouter ou modifier/supprimer un utilisateur
Dans le second formulaire présent un administrateur peut ajouter, (...) -
Automated installation script of MediaSPIP
25 avril 2011, parTo overcome the difficulties mainly due to the installation of server side software dependencies, an "all-in-one" installation script written in bash was created to facilitate this step on a server with a compatible Linux distribution.
You must have access to your server via SSH and a root account to use it, which will install the dependencies. Contact your provider if you do not have that.
The documentation of the use of this installation script is available here.
The code of this (...)
Sur d’autres sites (13934)
-
How to fetch both live video frame and timestamp from ffmpeg to python on Windows
6 mars 2017, par vijiboySearching for an alternative as OpenCV would not provide timestamps for live camera stream (on Windows), which are required in my computer vision algorithm, I found ffmpeg and this excellent article https://zulko.github.io/blog/2013/09/27/read-and-write-video-frames-in-python-using-ffmpeg/
The solution uses ffmpeg, accessing its standard output (stdout) stream. I extended it to read the standard error (stderr) stream as well.Working up the python code on windows, while I received the video frames from ffmpeg stdout, but the stderr freezes after delivering the showinfo videofilter details (timestamp) for first frame.
I recollected seeing on ffmpeg forum somewhere that the video filters like showinfo are bypassed when redirected. Is this why the following code does not work as expected ?
Expected : It should write video frames to disk as well as print timestamp details.
Actual : It writes video files but does not get the timestamp (showinfo) details.Here’s the code I tried :
import subprocess as sp
import numpy
import cv2
command = [ 'ffmpeg',
'-i', 'e:\sample.wmv',
'-pix_fmt', 'rgb24',
'-vcodec', 'rawvideo',
'-vf', 'showinfo', # video filter - showinfo will provide frame timestamps
'-an','-sn', #-an, -sn disables audio and sub-title processing respectively
'-f', 'image2pipe', '-'] # we need to output to a pipe
pipe = sp.Popen(command, stdout = sp.PIPE, stderr = sp.PIPE) # TODO someone on ffmpeg forum said video filters (e.g. showinfo) are bypassed when stdout is redirected to pipes???
for i in range(10):
raw_image = pipe.stdout.read(1280*720*3)
img_info = pipe.stderr.read(244) # 244 characters is the current output of showinfo video filter
print "showinfo output", img_info
image1 = numpy.fromstring(raw_image, dtype='uint8')
image2 = image1.reshape((720,1280,3))
# write video frame to file just to verify
videoFrameName = 'Video_Frame{0}.png'.format(i)
cv2.imwrite(videoFrameName,image2)
# throw away the data in the pipe's buffer.
pipe.stdout.flush()
pipe.stderr.flush()So how to still get the frame timestamps from ffmpeg into python code so that it can be used in my computer vision algorithm...
-
How to fetch both live video frame and its timestamp from ffmpeg on Windows
22 février 2017, par vijiboySearching for an alternative as OpenCV would not provide timestamps for live camera stream (on Windows), which are required in my computer vision algorithm, I found ffmpeg and this excellent article https://zulko.github.io/blog/2013/09/27/read-and-write-video-frames-in-python-using-ffmpeg/
The solution uses ffmpeg, accessing its standard output (stdout) stream. I extended it to read the standard error (stderr) stream as well.Working up the python code on windows, while I received the video frames from ffmpeg stdout, but the stderr freezes after delivering the showinfo videofilter details (timestamp) for first frame.
I recollected seeing on ffmpeg forum somewhere that the video filters like showinfo are bypassed when redirected. Is this why the following code does not work as expected ?
Expected : It should write video frames to disk as well as print timestamp details.
Actual : It writes video files but does not get the timestamp (showinfo) details.Here’s the code I tried :
import subprocess as sp
import numpy
import cv2
command = [ 'ffmpeg',
'-i', 'e:\sample.wmv',
'-pix_fmt', 'rgb24',
'-vcodec', 'rawvideo',
'-vf', 'showinfo', # video filter - showinfo will provide frame timestamps
'-an','-sn', #-an, -sn disables audio and sub-title processing respectively
'-f', 'image2pipe', '-'] # we need to output to a pipe
pipe = sp.Popen(command, stdout = sp.PIPE, stderr = sp.PIPE) # TODO someone on ffmpeg forum said video filters (e.g. showinfo) are bypassed when stdout is redirected to pipes???
for i in range(10):
raw_image = pipe.stdout.read(1280*720*3)
img_info = pipe.stderr.read(244) # 244 characters is the current output of showinfo video filter
print "showinfo output", img_info
image1 = numpy.fromstring(raw_image, dtype='uint8')
image2 = image1.reshape((720,1280,3))
# write video frame to file just to verify
videoFrameName = 'Video_Frame{0}.png'.format(i)
cv2.imwrite(videoFrameName,image2)
# throw away the data in the pipe's buffer.
pipe.stdout.flush()
pipe.stderr.flush()So how to still get the frame timestamps from ffmpeg into python code so that it can be used in my computer vision algorithm...
-
configure : add —enable-rpath
23 août 2014, par Reinhard Tartlerconfigure : add —enable-rpath
This option facilitates testing shared libarary builds : for instance
fate builders do no longer need to set LD_LIBRARY_PATH as the binaries will
get the right search paths hardcoded into their executable file.This option is only meant to be used for testing purposes : The installed
libraries must not move around in the file system, and doing so will
cause a lot of subtle problems. For more information why using RPATH is
dangerous, please refer to