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Autres articles (87)
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L’utiliser, en parler, le critiquer
10 avril 2011La première attitude à adopter est d’en parler, soit directement avec les personnes impliquées dans son développement, soit autour de vous pour convaincre de nouvelles personnes à l’utiliser.
Plus la communauté sera nombreuse et plus les évolutions seront rapides ...
Une liste de discussion est disponible pour tout échange entre utilisateurs. -
Use, discuss, criticize
13 avril 2011, parTalk to people directly involved in MediaSPIP’s development, or to people around you who could use MediaSPIP to share, enhance or develop their creative projects.
The bigger the community, the more MediaSPIP’s potential will be explored and the faster the software will evolve.
A discussion list is available for all exchanges between users. -
Mediabox : ouvrir les images dans l’espace maximal pour l’utilisateur
8 février 2011, parLa visualisation des images est restreinte par la largeur accordée par le design du site (dépendant du thème utilisé). Elles sont donc visibles sous un format réduit. Afin de profiter de l’ensemble de la place disponible sur l’écran de l’utilisateur, il est possible d’ajouter une fonctionnalité d’affichage de l’image dans une boite multimedia apparaissant au dessus du reste du contenu.
Pour ce faire il est nécessaire d’installer le plugin "Mediabox".
Configuration de la boite multimédia
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FFMPEG HTTP Stream error, failed : Connection refused
17 juillet 2022, par Halo GassI tried to stream a video frame from opencv to network using MPEG-Dash, HLS, or RTSP via FFMPEG, but everytime I tried everything, it always throw "Connection Error, Connection Refused" even streaming to 127.0.0.1.


Here the code for testing :


import subprocess
import cv2
rtmp_url = "rtmp://127.0.0.1:1935/stream/pupils_trace"

# webcamera is 0, also you can set a video file name instead, for example "/home/user/demo.mp4"
path = 0
cap = cv2.VideoCapture(path)

# gather video info to ffmpeg
fps = int(cap.get(cv2.CAP_PROP_FPS))
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))

# command and params for ffmpeg
command = ['ffmpeg',
 '-y',
 '-f', 'rawvideo',
 '-vcodec', 'rawvideo',
 '-pix_fmt', 'bgr24',
 '-s', "{}x{}".format(width, height),
 '-r', str(fps),
 '-i', '-',
 '-c:v', 'libx264',
 '-pix_fmt', 'yuv420p',
 '-preset', 'ultrafast',
 '-f', 'flv',
 rtmp_url]

# using subprocess and pipe to fetch frame data
p = subprocess.Popen(command, stdin=subprocess.PIPE)


while cap.isOpened():
 ret, frame = cap.read()
 if not ret:
 print("frame read failed")
 break

 # YOUR CODE FOR PROCESSING FRAME HERE

 # write to pipe
 p.stdin.write(frame.tobytes())


and below is the log :


ffmpeg version 4.2.7-0ubuntu0.1 Copyright (c) 2000-2022 the FFmpeg developers
 built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1)
 configuration: --prefix=/usr --extra-version=0ubuntu0.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-avresample --disable-filter=resample --enable-avisynth --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librsvg --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-nvenc --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
 libavutil 56. 31.100 / 56. 31.100
 libavcodec 58. 54.100 / 58. 54.100
 libavformat 58. 29.100 / 58. 29.100
 libavdevice 58. 8.100 / 58. 8.100
 libavfilter 7. 57.100 / 7. 57.100
 libavresample 4. 0. 0 / 4. 0. 0
 libswscale 5. 5.100 / 5. 5.100
 libswresample 3. 5.100 / 3. 5.100
 libpostproc 55. 5.100 / 55. 5.100
Input #0, rawvideo, from 'pipe:':
 Duration: N/A, start: 0.000000, bitrate: 221184 kb/s
 Stream #0:0: Video: rawvideo (BGR[24] / 0x18524742), bgr24, 1280x720, 221184 kb/s, 10 tbr, 10 tbn, 10 tbc
[tcp @ 0x556bea198680] Connection to tcp://127.0.0.1:1935 failed: Connection refused
[rtmp @ 0x556bea1a2640] Cannot open connection tcp://127.0.0.1:1935
rtmp://127.0.0.1:1935/stream/pupils_trace: Connection refused
Traceback (most recent call last):
 File "testing.py", line 42, in <module>
 p.stdin.write(frame.tobytes())
</module>

Here what I tried (All of it always "Connection Refused")


- 

- Running the code directly
- Running the code using sudo
- Run with 'sudo su'
- Allow the port used in ufw
- Disable ufw
- I tried executing command directly in terminal, also throws "connection refused"
- using 127.0.0.1 or "localhost" or 0.0.0.0 or my local IP, everything throws connection error
- Tried UDP and TCP


















Anyone can help me ?
Thanks


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FFMPEG missing audio when remuxing AVI to MP4
24 juillet 2022, par JobaI want to convert from .avi to .mp4 without any quality impact.


When I use ffmpeg cli to remux the file the output file is missing the audio.




ffmpeg -i input.mpg.avi -c copy output.mp4




➜ Desktop ffmpeg -i input.mpg.avi -c copy output.mp4
ffmpeg version 5.0.1 Copyright (c) 2000-2022 the FFmpeg developers
 built with Apple clang version 13.1.6 (clang-1316.0.21.2.5)
 configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/5.0.1_3 --enable-shared --enable-pthreads --enable-version3 --cc=clang --host-cflags= --host-ldflags= --enable-ffplay --enable-gnutls --enable-gpl --enable-libaom --enable-libbluray --enable-libdav1d --enable-libmp3lame --enable-libopus --enable-librav1e --enable-librist --enable-librubberband --enable-libsnappy --enable-libsrt --enable-libtesseract --enable-libtheora --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libxvid --enable-lzma --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libspeex --enable-libsoxr --enable-libzmq --enable-libzimg --disable-libjack --disable-indev=jack --enable-videotoolbox --enable-neon
 libavutil 57. 17.100 / 57. 17.100
 libavcodec 59. 18.100 / 59. 18.100
 libavformat 59. 16.100 / 59. 16.100
 libavdevice 59. 4.100 / 59. 4.100
 libavfilter 8. 24.100 / 8. 24.100
 libswscale 6. 4.100 / 6. 4.100
 libswresample 4. 3.100 / 4. 3.100
 libpostproc 56. 3.100 / 56. 3.100
Input #0, avi, from 'input.mpg.avi':
 Metadata:
 software : transcode-1.0.6
 Duration: 01:45:46.56, start: 0.000000, bitrate: 2055 kb/s
 Stream #0:0: Video: mpeg4 (Simple Profile) (DX50 / 0x30355844), yuv420p, 640x360 [SAR 1:1 DAR 16:9], 1915 kb/s, 25 fps, 25 tbr, 25 tbn
 Stream #0:1: Audio: mp3 (U[0][0][0] / 0x0055), 44100 Hz, stereo, fltp, 128 kb/s
Output #0, mp4, to 'output.mp4':
 Metadata:
 software : transcode-1.0.6
 encoder : Lavf59.16.100
 Stream #0:0: Video: mpeg4 (Simple Profile) (mp4v / 0x7634706D), yuv420p, 640x360 [SAR 1:1 DAR 16:9], q=2-31, 1915 kb/s, 25 fps, 25 tbr, 12800 tbn
 Stream #0:1: Audio: mp3 (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s
Stream mapping:
 Stream #0:0 -> #0:0 (copy)
 Stream #0:1 -> #0:1 (copy)
Press [q] to stop, [?] for help
frame=158664 fps=142852 q=-1.0 Lsize= 1587337kB time=01:45:46.55 bitrate=2048.9kbits/s speed=5.71e+03x 
video:1483615kB audio:99165kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.287948%


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Parsing custom track data from ARCore mp4 recordings
11 juillet 2022, par George EllicksonI'm using the Android ARCore Recording API to record custom data per frame and replay those values in tests to instrument test our ARCore functionality on devices and in CI. However, separately I'd also like to parse the generated mp4 recordings myself, outside of ARCore, and use my per frame recorded data for analysis. In my ARCore app, I'd like to simply be able to add custom text data like following, encoded as utf-8 strings (or really any other simple encoding) for the given ARCore frame :


val data = "Hello world!"
val buffer = ByteBuffer.wrap(data.encodeToByteArray())
frame.recordTrackData(TRACK_UUID_MY_DATA, buffer


I can't find any docs or good examples though of parsing the mp4 from ARCore and no luck in their arcore-android-sdk repo either. I've tried ffmpeg / ffprobe to figure out how the data is bundled into the MP4, but I'm stumped on which track to use and how best to deserialize as I'm unsure how the bytes are actually encoded under the hood.


Using ffmpeg, I just get information like this about the tracks :


Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'HoverCapture/ar-recording-tests/src/androidTest/res/raw/ar_recording_2_photos.mp4':
 Metadata:
 major_brand : mp42
 minor_version : 0
 compatible_brands: isommp42
 creation_time : 2022-01-20T22:03:13.000000Z
 Duration: 00:00:17.12, start: 0.000000, bitrate: 26865 kb/s
 Stream #0:0[0x1](und): Video: h264 (Baseline) (avc1 / 0x31637661), yuv420p(tv, unknown/bt470bg/unknown, progressive), 1920x1080, 25615 kb/s, 28.08 fps, 29.58 tbr, 90k tbn (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 vendor_id : [0][0][0][0]
 Stream #0:1[0x2](und): Data: none (mett / 0x7474656D), 18 kb/s (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 Stream #0:2[0x3](und): Video: h264 (Baseline) (avc1 / 0x31637661), yuv420p(tv, unknown/bt470bg/unknown, progressive), 640x480, 1929 kb/s, 28.12 fps, 29.42 tbr, 90k tbn (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 vendor_id : [0][0][0][0]
 Stream #0:3[0x4](und): Data: none (mett / 0x7474656D), 18 kb/s (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 Stream #0:4[0x5](und): Data: none (mett / 0x7474656D), 54 kb/s (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 Stream #0:5[0x6](und): Data: none (mett / 0x7474656D), 54 kb/s (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 Stream #0:6[0x7](und): Data: none (mett / 0x7474656D), 0 kb/s (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.
 Stream #0:7[0x8](und): Data: none (mett / 0x7474656D), 6 kb/s (default)
 Metadata:
 creation_time : 2022-01-20T22:03:13.000000Z
 handler_name : ISO Media file produced by Google Inc. Created on: 01/20/2022.


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