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Autres articles (57)
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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. -
La file d’attente de SPIPmotion
28 novembre 2010, parUne file d’attente stockée dans la base de donnée
Lors de son installation, SPIPmotion crée une nouvelle table dans la base de donnée intitulée spip_spipmotion_attentes.
Cette nouvelle table est constituée des champs suivants : id_spipmotion_attente, l’identifiant numérique unique de la tâche à traiter ; id_document, l’identifiant numérique du document original à encoder ; id_objet l’identifiant unique de l’objet auquel le document encodé devra être attaché automatiquement ; objet, le type d’objet auquel (...) -
MediaSPIP version 0.1 Beta
16 avril 2011, parMediaSPIP 0.1 beta est la première version de MediaSPIP décrétée comme "utilisable".
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Pour avoir une installation fonctionnelle, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)
Sur d’autres sites (12333)
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Can not run nginx.exe after change config file for HSL streaming in Windows 10 x64
21 janvier 2018, par tommyvisagroupI use nginx for windows to create htl and rtmp server to run in windows 10
I download nginx from this link http://nginx-win.ecsds.eu/download/Here is my configuration file content
#user nobody;
worker_processes auto;
error_log logs/rtmp_error.log debug;
pid logs/nginx.pid;
events {
worker_connections 1024;
}
http {
sendfile off;
tcp_nopush on;
directio 512;
include mime.types;
default_type application/octet-stream;
server {
listen 80;
server_name localhost;
location / {
root "/html";
}
location /hls {
# Disable cache
add_header Cache-Control no-cache;
# CORS setup
add_header 'Access-Control-Allow-Origin' '*' always;
add_header 'Access-Control-Expose-Headers' 'Content-Length,Content-
Range';
add_header 'Access-Control-Allow-Headers' 'Range';
# allow CORS preflight requests
if ($request_method = 'OPTIONS') {
add_header 'Access-Control-Allow-Origin' '*';
add_header 'Access-Control-Allow-Headers' 'Range';
add_header 'Access-Control-Max-Age' 1728000;
add_header 'Content-Type' 'text/plain charset=UTF-8';
add_header 'Content-Length' 0;
return 204;
}
types {
application/vnd.apple.mpegurl m3u8;
video/mp2t ts;
}
root "/html/";
}
}
}
rtmp {
server {
listen 1935;
allow play all;
chunk_size 4000;
application live {
live on;
allow publish all;
allow play all;
#enable HLS
hls on;
hls_path "/html/hls";
hls_fragment 3;
hls_playlist_length 60;
}
}
}I had crreated html/hls folder
but when I try to run nginx.exe nothing happens, no nginx.exe in task processnginx.exe can run when I remove this part of config file
hls on;
hls_path "/html/hls";
hls_fragment 3;
hls_playlist_length 60;please help me to fix it, many thanks :D
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php ffmpeg how can i get current video conversation percent [duplicate]
7 juillet 2014, par user3710676This question already has an answer here :
I have a video converting site. But another video converting sites can show current conversation percent to users. How can they do this ?
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even though my code is running without an error, it does not generate plot or video. I have xming runing
23 octobre 2017, par Amin AbbasiThis is my first code and I am really new to coding. I am trying to create a video or just plot my code.Eeven though my code is running without an error, I can’t get the video or the plot to generate. I have xming running and I have plotted a sample to make sure it not a computer Issue. I have also tried the following on GitHub but no success :
https://jakevdp.github.io/blog/2013/05/19/a-javascript-viewer-for-matplotlib-animations/# -*- coding: utf-8 -*-
import numpy as np
def solver(I, V, f, c, L, dt, cc, T, user_action=None):
"""Solve u_tt=c^2*u_xx + f on (0,L)x(0,T]."""
Nt = int(round(T/dt))
t = np.linspace(0, Nt*dt, Nt+1) # Mesh points in time
dx = dt*c/float(cc)
Nx = int(round(L/dx))
x = np.linspace(0, L, Nx+1) # Mesh points in space
C2 = cc**2 # Help variable in the scheme
# Make sure dx and dt are compatible with x and t
dx = x[1] - x[0]
dt = t[1] - t[0]
if f is None or f == 0 :
f = lambda x, t: 0
if V is None or V == 0:
V = lambda x: 0
u = np.zeros(Nx+1) # Solution array at new time level
u_n = np.zeros(Nx+1) # Solution at 1 time level back
u_nm1 = np.zeros(Nx+1) # Solution at 2 time levels back
import time; t0 = time.clock() # Measure CPU time
# Load initial condition into u_n
for i in range(0,Nx+1):
u_n[i] = I(x[i])
if user_action is not None:
user_action(u_n, x, t, 0)
# Special formula for first time step
n = 0
for i in range(1, Nx):
u[i] = u_n[i] + dt*V(x[i]) + \
0.5*C2*(u_n[i-1] - 2*u_n[i] + u_n[i+1]) + \
0.5*dt**2*f(x[i], t[n])
u[0] = 0; u[Nx] = 0
if user_action is not None:
user_action(u, x, t, 1)
# Switch variables before next step
u_nm1[:] = u_n; u_n[:] = u
for n in range(1, Nt):
# Update all inner points at time t[n+1]
for i in range(1, Nx):
u[i] = - u_nm1[i] + 2*u_n[i] + \
C2*(u_n[i-1] - 2*u_n[i] + u_n[i+1]) + \
dt**2*f(x[i], t[n])
# Insert boundary conditions
u[0] = 0; u[Nx] = 0
if user_action is not None:
if user_action(u, x, t, n+1):
break
# Switch variables before next step
u_nm1[:] = u_n; u_n[:] = u
cpu_time = time.clock() - t0
return u, x, t,
def test_quadratic():
"""Check that u(x,t)=x(L-x)(1+t/2) is exactly reproduced."""
def u_exact(x, t):
return x*(L-x)*(1 + 0.5*t)
def I(x):
return u_exact(x, 0)
def V(x):
return 0.5*u_exact(x, 0)
def f(x, t):
return 2*(1 + 0.5*t)*c**2
L = 2.5
c = 1.5
cc = 0.75
Nx = 6 # Very coarse mesh for this exact test
dt = cc*(L/Nx)/c
T = 18
def assert_no_error(u, x, t, n):
u_e = u_exact(x, t[n])
diff = np.abs(u - u_e).max()
tol = 1E-13
assert diff < tol
solver(I, V, f, c, L, dt, cc, T,
user_action=assert_no_error)
def viz(
I, V, f, c, L, dt, C, T,umin, umax, animate=True, tool='matplotlib'):
"""Run solver and visualize u at each time level."""
def plot_u_st(u, x, t, n):
"""user_action function for solver."""
plt.plot(x, u, 'r-')
# xlabel='x', ylabel='u',
# axis=[0, L, umin, umax],
# title='t=%f' % t[n], show=True)
# Let the initial condition stay on the screen for 2
# seconds, else insert a pause of 0.2 s between each plot
time.sleep(2) if t[n] == 0 else time.sleep(0.2)
plt.savefig('frame_%04d.png' % n) # for movie making
class PlotMatplotlib:
def __call__(self, u, x, t, n):
"""user_action function for solver."""
if n == 0:
plt.ion()
self.lines = plt.plot(x, u, 'r-')
plt.xlabel('x'); plt.ylabel('u')
plt.axis([0, L, umin, umax])
plt.legend(['t=%f' % t[n]], loc='lower left')
else:
self.lines[0].set_ydata(u)
plt.legend(['t=%f' % t[n]], loc='lower left')
plt.draw()
time.sleep(2) if t[n] == 0 else time.sleep(0.2)
plt.savefig('tmp_%04d.png' % n) # for movie making
if tool == 'matplotlib':
import matplotlib.pyplot as plt
plot_u = PlotMatplotlib()
elif tool == 'scitools':
import scitools.std as plt # scitools.easyviz interface
plot_u = plot_u_st
import time, glob, os
# Clean up old movie frames
for filename in glob.glob('tmp_*.png'):
os.remove(filename)
# Call solver and do the simulaton
user_action = plot_u if animate else None
u, x, t, cpu = solver_function(
I, V, f, c, L, dt, C, T, user_action)
# Make video files
fps = 4 # frames per second
codec2ext = dict(flv='flv', libx264='mp4', libvpx='webm',
libtheora='ogg') # video formats
filespec = 'tmp_%04d.png'
movie_program = 'ffmpeg' # or 'avconv'
for codec in codec2ext:
ext = codec2ext[codec]
cmd = '%(movie_program)s -r %(fps)d -i %(filespec)s '\
'-vcodec %(codec)s movie.%(ext)s' % vars()
os.system(cmd)
if tool == 'scitools':
# Make an HTML play for showing the animation in a browser
plt.movie('tmp_*.png', encoder='html', fps=fps,
output_file='movie.html')
return cpu