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Exemple de boutons d’action pour une collection collaborative
27 février 2013, par
Mis à jour : Mars 2013
Langue : français
Type : Image
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Exemple de boutons d’action pour une collection personnelle
27 février 2013, par
Mis à jour : Février 2013
Langue : English
Type : Image
Autres articles (77)
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Installation en mode ferme
4 février 2011, parLe mode ferme permet d’héberger plusieurs sites de type MediaSPIP en n’installant qu’une seule fois son noyau fonctionnel.
C’est la méthode que nous utilisons sur cette même plateforme.
L’utilisation en mode ferme nécessite de connaïtre un peu le mécanisme de SPIP contrairement à la version standalone qui ne nécessite pas réellement de connaissances spécifique puisque l’espace privé habituel de SPIP n’est plus utilisé.
Dans un premier temps, vous devez avoir installé les mêmes fichiers que l’installation (...) -
Le plugin : Podcasts.
14 juillet 2010, parLe problème du podcasting est à nouveau un problème révélateur de la normalisation des transports de données sur Internet.
Deux formats intéressants existent : Celui développé par Apple, très axé sur l’utilisation d’iTunes dont la SPEC est ici ; Le format "Media RSS Module" qui est plus "libre" notamment soutenu par Yahoo et le logiciel Miro ;
Types de fichiers supportés dans les flux
Le format d’Apple n’autorise que les formats suivants dans ses flux : .mp3 audio/mpeg .m4a audio/x-m4a .mp4 (...) -
Formulaire personnalisable
21 juin 2013, parCette page présente les champs disponibles dans le formulaire de publication d’un média et il indique les différents champs qu’on peut ajouter. Formulaire de création d’un Media
Dans le cas d’un document de type média, les champs proposés par défaut sont : Texte Activer/Désactiver le forum ( on peut désactiver l’invite au commentaire pour chaque article ) Licence Ajout/suppression d’auteurs Tags
On peut modifier ce formulaire dans la partie :
Administration > Configuration des masques de formulaire. (...)
Sur d’autres sites (4722)
-
OpenCV in Python on Windows does not report correct video properties from VideoReader
24 décembre 2015, par Mircea DavidescuI am running into a problem with using VideoReader in OpenCV with Python. Many of the properties that I should be able to get from the video reader are either somehow invalid (returning 0), or return the wrong number. For instance.
vidFile = cv2.VideoCapture('movie.avi')
vidFile.get(cv2.CAP_PROP_FRAME_COUNT)
vidFile.get(cv2.CAP_PROP_FPS)The first get command returns a wrong value, while the second get command returns 0. The output of the
ffprobe
command is given below :built with gcc 5.2.0 (GCC)
configuration: --enable-gpl --enable-version3 --disable-w32threads --enable-avisynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls
--enable-iconv --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libdcadec --enable-libfreetype --enable-libgme --enable-libgsm
--enable-libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus
--enable-librtmp --enable-libschroedinger --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab
--enable-libvo-aacenc --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265
--enable-libxavs --enable-libxvid --enable-lzma --enable-decklink --enable-zlib
libavutil 55. 5.100 / 55. 5.100
libavcodec 57. 12.100 / 57. 12.100
libavformat 57. 11.100 / 57. 11.100
libavdevice 57. 0.100 / 57. 0.100
libavfilter 6. 14.101 / 6. 14.101
libswscale 4. 0.100 / 4. 0.100
libswresample 2. 0.100 / 2. 0.100
libpostproc 54. 0.100 / 54. 0.100
Input #0, avi, from 'movie.avi':
Metadata:
encoder : Lavf55.0.100
Duration: 00:31:59.97, start: 0.000000, bitrate: 24321 kb/s
Stream #0:0: Video: mjpeg (MJPG / 0x47504A4D), yuvj420p(pc, bt470bg/unknown/unknown), 1392x1040 [SAR 1:1 DAR 87:65], 24316 kb/s, 30 fps, 30 tbr, 30 tbn,
30 tbcI am running a Windows 10 machine with Python 2.7.11 (Anaconda 2.4.1 64-bit). I have installed OpenCV 3.0.0 according the instructions provided here. Because I am using the VideoReader feature I also added C :\opencv\sources\3rdparty\ffmpeg to the system PATH and renamed both opencv_ffmpeg300.dll and opencv_ffmpeg_x64.dll to opencv_ffmpeg300.dll and opencv_ffmpeg300_64.dll respectively, as specified here.
Thank you for your help with this problem !
-
Building ffmpeg on Windows from Chromium - make : *** No rule to make target 'libavcodec\avcodec-57.dll'. Stop
14 septembre 2016, par Catalin FratilaI am trying to compile ffmpeg on a Windows machine, using mingw64 and msys2.
But when I run : "build_ffmpeg.py win ia32" (same result with x64), I get :
/c/libchromiumcontent/src/third_party/ffmpeg/chromium/scripts
$ ./build_ffmpeg.py win ia32
install prefix /usr/local
source path /c/libchromiumcontent/src/third_party/ffmpeg
C compiler gcc
C library mingw64
ARCH x86 (generic)
big-endian no
runtime cpu detection yes
yasm yes
MMX enabled yes
MMXEXT enabled yes
3DNow! enabled yes
3DNow! extended enabled yes
SSE enabled yes
SSSE3 enabled yes
AESNI enabled yes
AVX enabled yes
XOP enabled yes
FMA3 enabled yes
FMA4 enabled yes
i686 features enabled yes
CMOV is fast yes
EBX available yes
EBP available yes
debug symbols yes
strip symbols yes
optimize for size no
optimizations yes
static yes
shared no
postprocessing support no
new filter support no
network support no
threading support w32threads
safe bitstream reader yes
SDL support no
opencl enabled no
texi2html enabled no
perl enabled no
pod2man enabled no
makeinfo enabled no
makeinfo supports HTML no
Enabled programs:
External libraries:
Enabled decoders:
pcm_alaw pcm_f32le pcm_mulaw pcm_s16be pcm_s16le pcm_s24be pcm_s24le pcm_s32le pcm_u8 vorbis
Enabled encoders:
Enabled hwaccels:
Enabled parsers:
opus vorbis
Enabled demuxers:
matroska ogg wav
Enabled muxers:
Enabled protocols:
Enabled filters:
Enabled bsfs:
Enabled indevs:
Enabled outdevs:
License: LGPL version 2.1 or later
Creating config.mak, config.h, and doc/config.texi...
make: *** No rule to make target 'libavcodec\avcodec-57.dll'. Stop.
System information:
Host OS : win
Target OS : win
Host arch : x64
Target arch : ia32
Parallel jobs : 4
Chromium configure/build:
Running ['sh.exe', 'C:\\libchromiumcontent\\src\\third_party\\ffmpeg\\configure', '--disable-everything', '--disable-all', '--disable-doc', '--disable-htmlpages', '--disable-manpages', '--disable-podpages', '--disable-txtpages', '--disable-static', '--enable-avcodec', '--enable-avformat', '--enable-avutil', '--enable-fft', '--enable-rdft', '--enable-static', '--disable-bzlib', '--disable-error-resilience', '--disable-iconv', '--disable-lzo', '--disable-network', '--disable-schannel', '--disable-sdl', '--disable-symver', '--disable-xlib', '--disable-zlib', '--disable-securetransport', '--disable-d3d11va', '--disable-dxva2', '--disable-vaapi', '--disable-vda', '--disable-vdpau', '--disable-videotoolbox', '--enable-decoder=vorbis', '--enable-decoder=pcm_u8,pcm_s16le,pcm_s24le,pcm_s32le,pcm_f32le', '--enable-decoder=pcm_s16be,pcm_s24be,pcm_mulaw,pcm_alaw', '--enable-demuxer=ogg,matroska,wav', '--enable-parser=opus,vorbis', '--optflags="-O2"', '--enable-decoder=theora,vp8', '--enable-parser=vp3,vp8', '--toolchain=msvc', '--cpu=opteron', '--enable-yasm', '--extra-cflags=-IC:\\libchromiumcontent\\src\\third_party\\ffmpeg\\chromium/include/win', '--target-os=mingw32', '--enable-memalign-hack', '--cc=gcc-sjlj']
Running ['make', '-j4', 'libavcodec\\avcodec-57.dll', 'libavformat\\avformat-57.dll', 'libavutil\\avutil-55.dll']
Traceback (most recent call last):
File "./build_ffmpeg.py", line 631, in <module>
sys.exit(main(sys.argv[1:]))
File "./build_ffmpeg.py", line 596, in main
configure_args)
File "./build_ffmpeg.py", line 588, in do_build_ffmpeg
options.config_only, branding, configure_flags)
File "./build_ffmpeg.py", line 217, in BuildFFmpeg
['make', '-j%d' % parallel_jobs] + libraries, cwd=config_dir)
File "./build_ffmpeg.py", line 92, in PrintAndCheckCall
subprocess.check_call(argv, *args, **kwargs)
File "C:\Python27\lib\subprocess.py", line 541, in check_call
raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['make', '-j4', 'libavcodec\\avcodec-57.dll', 'libavformat\\avformat-57.dll', 'libavutil\\avutil-55.dll']' returned non-zero exit status 2
</module>Has anyone seen this issue before ? Have all the pre-requisites from here : https://trac.ffmpeg.org/wiki/CompilationGuide/MinGW
Thanks.
-
How to install ffmpeg on a Windows Dockerhub image ?
18 janvier, par Youssef KharoufiI have a program that executes a ffmpeg command to a video input, copies this video and pastes is in an output directory.


Here is my code in case you would want to duplicate it :


using Renderer.Models;
using System;
using System.IO;
using System.Text.Json;
using System.Threading.Tasks;

public class Program
{
 public static async Task Main(string[] args)
 {
 var result = new DockerTaskResult();
 try
 {
 // Path to the JSON input file
 string jsonInputPath = @"C:\Users\ykharoufi\source\repos\Renderer\Renderer\Json\task.json";

 // Check if the JSON file exists
 if (!File.Exists(jsonInputPath))
 {
 throw new FileNotFoundException($"JSON input file not found at path: {jsonInputPath}");
 }

 // Read the JSON content
 string jsonContent = File.ReadAllText(jsonInputPath);

 try
 {
 // Deserialize the JSON into a DockerTask object
 DockerTask task = JsonSerializer.Deserialize<dockertask>(jsonContent);
 if (task == null)
 {
 throw new Exception("Failed to deserialize the task from JSON.");
 }

 // Validate the input paths
 if (string.IsNullOrEmpty(task.InputFileRepoPath) || !File.Exists(task.InputFileRepoPath))
 {
 throw new Exception($"Input file path is invalid or does not exist: {task.InputFileRepoPath}");
 }

 if (string.IsNullOrEmpty(task.OutputFileRepoPath) || !Directory.Exists(task.OutputFileRepoPath))
 {
 throw new Exception($"Output directory path is invalid or does not exist: {task.OutputFileRepoPath}");
 }

 // Initialize the Docker worker and run the task
 var worker = new DockerWorker();
 var success = await worker.RunDockerTaskAsync(task);

 if (success.Success)
 {
 result.Success = true;
 result.Message = "Command executed successfully!";

 // Check the output directory for files
 if (Directory.Exists(task.OutputFileRepoPath))
 {
 result.OutputFiles = Directory.GetFiles(task.OutputFileRepoPath);
 }
 }
 else
 {
 result.Success = false;
 result.Message = "Failed to execute the command.";
 result.ErrorDetails = success.ErrorDetails;
 }
 }
 catch (JsonException)
 {
 // Handle invalid JSON format
 result.Success = false;
 result.Message = "Invalid JSON format.";
 result.ErrorDetails = "Invalid data entry";
 }
 }
 catch (Exception ex)
 {
 result.Success = false;
 result.Message = "An error occurred during execution.";
 result.ErrorDetails = ex.Message;
 }
 finally
 {
 // Serialize the result to JSON and write to console
 string outputJson = JsonSerializer.Serialize(result, new JsonSerializerOptions { WriteIndented = true });
 Console.WriteLine(outputJson);
 }
 }
}

 using System;
using System.Collections.Generic;
using System.IO;
using System.Text.Json;
using System.Threading.Tasks;
using Docker.DotNet;
using Docker.DotNet.Models;
using Renderer.Models;

public class DockerWorker
{
 private readonly DockerClient _dockerClient;

 public DockerWorker()
 {
 Console.WriteLine("Initializing Docker client...");
 _dockerClient = new DockerClientConfiguration(
 new Uri("npipe://./pipe/docker_engine")) // Windows Docker URI
 .CreateClient();
 Console.WriteLine("Docker client initialized.");
 }

 public async Task<dockertaskresult> RunDockerTaskAsync(DockerTask task)
 {
 var result = new DockerTaskResult();

 try
 {
 Console.WriteLine("Starting Docker task...");
 Console.WriteLine($"Image: {task.ImageNaming}");
 Console.WriteLine($"Container: {task.ContainerNaming}");
 Console.WriteLine($"Input Path: {task.InputFileRepoPath}");
 Console.WriteLine($"Output Path: {task.OutputFileRepoPath}");
 Console.WriteLine($"Command: {task.CommandDef}");

 // Ensure the Docker image exists
 Console.WriteLine("Checking if Docker image exists...");
 var imageCheckResult = await EnsureImageExists(task.ImageNaming);
 if (!imageCheckResult.Success)
 {
 result.Success = false;
 result.Message = imageCheckResult.Message;
 result.ErrorDetails = imageCheckResult.ErrorDetails;
 return result;
 }
 Console.WriteLine("Docker image verified.");

 // Determine platform
 var platform = await GetImagePlatform(task.ImageNaming);
 Console.WriteLine($"Detected image platform: {platform}");

 // Translate paths
 string inputVolume, outputVolume;
 if (platform == "linux")
 {
 inputVolume = $"{task.InputFileRepoPath.Replace("C:\\", "/mnt/c/").Replace("\\", "/")}:/app/input";
 outputVolume = $"{task.OutputFileRepoPath.Replace("C:\\", "/mnt/c/").Replace("\\", "/")}:/app/output";
 }
 else if (platform == "windows")
 {
 string inputDir = Path.GetFullPath(Path.GetDirectoryName(task.InputFileRepoPath)).TrimEnd('\\');
 string outputDir = Path.GetFullPath(task.OutputFileRepoPath).TrimEnd('\\');

 if (!Directory.Exists(inputDir))
 {
 throw new Exception($"Input directory does not exist: {inputDir}");
 }
 if (!Directory.Exists(outputDir))
 {
 throw new Exception($"Output directory does not exist: {outputDir}");
 }

 inputVolume = $"{inputDir}:C:\\app\\input";
 outputVolume = $"{outputDir}:C:\\app\\output";

 Console.WriteLine($"Input volume: {inputVolume}");
 Console.WriteLine($"Output volume: {outputVolume}");
 }
 else
 {
 throw new Exception($"Unsupported platform: {platform}");
 }

 // Create container
 Console.WriteLine("Creating Docker container...");
 var containerResponse = await _dockerClient.Containers.CreateContainerAsync(new CreateContainerParameters
 {
 Image = task.ImageNaming,
 Name = task.ContainerNaming,
 HostConfig = new HostConfig
 {
 Binds = new List<string> { inputVolume, outputVolume },
 AutoRemove = true
 },
 Cmd = new[] { platform == "linux" ? "bash" : "cmd.exe", "/c", task.CommandDef }
 });

 if (string.IsNullOrEmpty(containerResponse.ID))
 {
 throw new Exception("Failed to create Docker container.");
 }
 Console.WriteLine($"Container created with ID: {containerResponse.ID}");

 // Start container
 Console.WriteLine("Starting container...");
 bool started = await _dockerClient.Containers.StartContainerAsync(containerResponse.ID, new ContainerStartParameters());
 if (!started)
 {
 throw new Exception($"Failed to start container: {task.ContainerNaming}");
 }

 // Wait for container to finish
 Console.WriteLine("Waiting for container to finish...");
 var waitResponse = await _dockerClient.Containers.WaitContainerAsync(containerResponse.ID);

 if (waitResponse.StatusCode != 0)
 {
 Console.WriteLine($"Container exited with error code: {waitResponse.StatusCode}");
 await FetchContainerLogs(containerResponse.ID);
 throw new Exception($"Container exited with non-zero status code: {waitResponse.StatusCode}");
 }

 // Fetch logs
 Console.WriteLine("Fetching container logs...");
 await FetchContainerLogs(containerResponse.ID);

 result.Success = true;
 result.Message = "Docker task completed successfully.";
 return result;
 }
 catch (Exception ex)
 {
 Console.WriteLine($"Error: {ex.Message}");
 result.Success = false;
 result.Message = "An error occurred during execution.";
 result.ErrorDetails = ex.Message;
 return result;
 }
 }

 private async Task<string> GetImagePlatform(string imageName)
 {
 try
 {
 Console.WriteLine($"Inspecting Docker image: {imageName}...");
 var imageDetails = await _dockerClient.Images.InspectImageAsync(imageName);
 Console.WriteLine($"Image platform: {imageDetails.Os}");
 return imageDetails.Os.ToLower();
 }
 catch (Exception ex)
 {
 throw new Exception($"Failed to inspect image: {ex.Message}");
 }
 }

 private async Task<dockertaskresult> EnsureImageExists(string imageName)
 {
 var result = new DockerTaskResult();
 try
 {
 Console.WriteLine($"Pulling Docker image: {imageName}...");
 await _dockerClient.Images.CreateImageAsync(
 new ImagesCreateParameters { FromImage = imageName, Tag = "latest" },
 null,
 new Progress<jsonmessage>()
 );
 result.Success = true;
 result.Message = "Docker image is available.";
 }
 catch (Exception ex)
 {
 result.Success = false;
 result.Message = $"Failed to pull Docker image: {imageName}";
 result.ErrorDetails = ex.Message;
 }
 return result;
 }

 private async Task FetchContainerLogs(string containerId)
 {
 try
 {
 Console.WriteLine($"Fetching logs for container: {containerId}...");
 var logs = await _dockerClient.Containers.GetContainerLogsAsync(
 containerId,
 new ContainerLogsParameters { ShowStdout = true, ShowStderr = true });

 using (var reader = new StreamReader(logs))
 {
 string logLine;
 while ((logLine = await reader.ReadLineAsync()) != null)
 {
 Console.WriteLine(logLine);
 }
 }
 }
 catch (Exception ex)
 {
 Console.WriteLine($"Failed to fetch logs: {ex.Message}");
 }
 }
}

 {
 "ImageNaming": "khuser/windowsimage:latest",
 "ContainerNaming": "custom-worker-container",
 "InputFileRepoPath": "C:/Users/user/source/repos/Renderer/Renderer/wwwroot/audio.mp4",
 "OutputFileRepoPath": "C:/Users/user/Desktop/output/",
 "CommandDef": "ffmpeg -i C:\\app\\input\\audio.mp4 -c copy C:\\app\\output\\copiedAudio.mp4"
</jsonmessage></dockertaskresult></string></string></dockertaskresult></dockertask>


}. My problem is what I get in the output of my program :
Initializing Docker client... Docker client initialized. Starting Docker task... Image: khyoussef/windowsimage:latest Container: custom-worker-container Input Path: C:/Users/ykharoufi/source/repos/Renderer/Renderer/wwwroot/audio.mp4 Output Path: C:/Users/ykharoufi/Desktop/output/ Command: ffmpeg -i C:\app\input\audio.mp4 -c copy C:\app\output\copiedAudio.mp4 Checking if Docker image exists... Pulling Docker image: khyoussef/windowsimage:latest... Docker image verified. Inspecting Docker image: khyoussef/windowsimage:latest... Image platform: windows Detected image platform: windows Input volume: C:\Users\ykharoufi\source\repos\Renderer\Renderer\wwwroot:C:\app\input Output volume: C:\Users\ykharoufi\Desktop\output:C:\app\output Creating Docker container... Container created with ID: 1daca99b3c76bc8c99c1aed7d2c546ae75aedd9aa1feb0f5002e54769390248e Starting container... Waiting for container to finish... Container exited with error code: 1 Fetching logs for container: 1daca99b3c76bc8c99c1aed7d2c546ae75aedd9aa1feb0f5002e54769390248e... @'ffmpeg' is not recognized as an internal or external command, !operable program or batch file. Error: Container exited with non-zero status code: 1 { "Success": false, "Message": "Failed to execute the command.", "ErrorDetails": "Container exited with non-zero status code: 1", "OutputFiles": null }
, This is the Dockerfile I am working with :

`# Use Windows Server Core as the base image
FROM mcr.microsoft.com/windows/server:ltsc2022

# Set the working directory
WORKDIR /app

# Install required tools (FFmpeg and Visual C++ Redistributable)
RUN powershell -Command \
 $ErrorActionPreference = 'Stop'; \
 # Install Visual C++ Redistributable
 Invoke-WebRequest -Uri https://aka.ms/vs/16/release/vc_redist.x64.exe -OutFile vc_redist.x64.exe; \
 Start-Process -FilePath vc_redist.x64.exe -ArgumentList '/install', '/quiet', '/norestart' -NoNewWindow -Wait; \
 Remove-Item -Force vc_redist.x64.exe; \
 # Download FFmpeg
 Invoke-WebRequest -Uri https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-n7.1-latest-win64-gpl-7.1.zip -OutFile ffmpeg.zip; \
 # Extract FFmpeg
 Expand-Archive -Path ffmpeg.zip -DestinationPath C:\ffmpeg; \
 Remove-Item -Force ffmpeg.zip; \
 # Debug step: Verify FFmpeg extraction
 Write-Output "FFmpeg extracted to C:\\ffmpeg"; \
 dir C:\ffmpeg; \
 dir C:\ffmpeg\ffmpeg-n7.1-latest-win64-gpl-7.1\bin

# Add FFmpeg to PATH permanently
ENV PATH="C:\\ffmpeg\\ffmpeg-n7.1-latest-win64-gpl-7.1\\bin;${PATH}"

# Verify FFmpeg installation
RUN ["cmd", "/S", "/C", "ffmpeg -version"]

# Copy required files to the container
COPY ./ /app/

# Default to a PowerShell session
CMD ["C:\\Windows\\System32\\WindowsPowerShell\\v1.0\\powershell.exe", "-NoExit"]
`



. I did build it using this command : docker build -t khuser/windowsimage:latest -f Dockerfile .