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Bug de détection d’ogg
22 mars 2013, par
Mis à jour : Avril 2013
Langue : français
Type : Video
Autres articles (112)
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Keeping control of your media in your hands
13 avril 2011, parThe vocabulary used on this site and around MediaSPIP in general, aims to avoid reference to Web 2.0 and the companies that profit from media-sharing.
While using MediaSPIP, you are invited to avoid using words like "Brand", "Cloud" and "Market".
MediaSPIP is designed to facilitate the sharing of creative media online, while allowing authors to retain complete control of their work.
MediaSPIP aims to be accessible to as many people as possible and development is based on expanding the (...) -
Participer à sa traduction
10 avril 2011Vous pouvez nous aider à améliorer les locutions utilisées dans le logiciel ou à traduire celui-ci dans n’importe qu’elle nouvelle langue permettant sa diffusion à de nouvelles communautés linguistiques.
Pour ce faire, on utilise l’interface de traduction de SPIP où l’ensemble des modules de langue de MediaSPIP sont à disposition. ll vous suffit de vous inscrire sur la liste de discussion des traducteurs pour demander plus d’informations.
Actuellement MediaSPIP n’est disponible qu’en français et (...) -
Submit bugs and patches
13 avril 2011Unfortunately a software is never perfect.
If you think you have found a bug, report it using our ticket system. Please to help us to fix it by providing the following information : the browser you are using, including the exact version as precise an explanation as possible of the problem if possible, the steps taken resulting in the problem a link to the site / page in question
If you think you have solved the bug, fill in a ticket and attach to it a corrective patch.
You may also (...)
Sur d’autres sites (13389)
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How to record desktop while on x2go session via a command line tool ?
4 décembre 2017, par harageithe Goal :
I am trying to record a specific X display on a remote server with a command line tool.the Problem :
The output file contains a pure black video stream for the whole duration of the recording.My Approach :
I am connecting to a remote server via x2go. The Server runs Ubuntu 16.04.2 with Xfce Desktop Environment. The Display I try to record is :50 (which gets created when I connect to the x2go server). I can control the remote server totally fine through x2go.My commands for recording via ffmpeg (or avconv/recordmydesktop, which use ffmpeg underneath) all look more or less the same and are like this :
ffmpeg -f x11grab -r 25 -s 1854x1176 -i :50.0 -c:v libx264 screencast.mkvSample output :
user@machine:~/$ ffmpeg -f x11grab -r 25 -s 1854x1176 -i :50.0+0,0 -c:v libx264 -vb 4000k -an screencast.mkv
ffmpeg version N-86766-g264f6c6 Copyright (c) 2000-2017 the FFmpeg developers
built with gcc 5.4.0 (Ubuntu 5.4.0-6ubuntu1~16.04.4) 20160609
configuration: --prefix=/home/user/ffmpeg_build --pkg-config-flags=--static --extra-cflags=-I/home/user/ffmpeg_build/include --extra-ldflags=-L/home/user/ffmpeg_build/lib --bindir=/home/user/bin --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-nonfree
libavutil 55. 67.100 / 55. 67.100
libavcodec 57.100.104 / 57.100.104
libavformat 57. 75.100 / 57. 75.100
libavdevice 57. 7.100 / 57. 7.100
libavfilter 6. 95.100 / 6. 95.100
libswscale 4. 7.101 / 4. 7.101
libswresample 2. 8.100 / 2. 8.100
libpostproc 54. 6.100 / 54. 6.100
[x11grab @ 0x1fd9b40] XFixes not available, cannot draw the mouse.
[x11grab @ 0x1fd9b40] Stream #0: not enough frames to estimate rate; consider increasing probesize
Input #0, x11grab, from ':50.0+0,0':
Duration: N/A, start: 1500041497.684675, bitrate: N/A
Stream #0:0: Video: rawvideo (BGR[0] / 0x524742), bgr0, 1854x1176, 25 fps, 1000k tbr, 1000k tbn, 1000k tbc
File 'screencast.mkv' already exists. Overwrite ? [y/N] y
Stream mapping:
Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
Press [q] to stop, [?] for help
[libx264 @ 0x1fe3040] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX
[libx264 @ 0x1fe3040] profile High 4:4:4 Predictive, level 4.2, 4:4:4 8-bit
[libx264 @ 0x1fe3040] 264 - core 148 r2643 5c65704 - H.264/MPEG-4 AVC codec - Copyleft 2003-2015 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=4 threads=12 lookahead_threads=2 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=25 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=abr mbtree=1 bitrate=4000 ratetol=1.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, matroska, to 'screencast.mkv':
Metadata:
encoder : Lavf57.75.100
Stream #0:0: Video: h264 (libx264) (H264 / 0x34363248), yuv444p, 1854x1176, q=-1--1, 4000 kb/s, 25 fps, 1k tbn, 25 tbc
Metadata:
encoder : Lavc57.100.104 libx264
Side data:
cpb: bitrate max/min/avg: 0/0/4000000 buffer size: 0 vbv_delay: -1
[swscaler @ 0x1fe94e0] Warning: data is not aligned! This can lead to a speedloss
frame= 179 fps= 36 q=-1.0 Lsize= 16kB time=00:00:07.04 bitrate= 18.8kbits/s speed=1.43x
video:14kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 12.869934%
[libx264 @ 0x1fe3040] frame I:1 Avg QP: 6.00 size: 518
[libx264 @ 0x1fe3040] frame P:45 Avg QP: 0.44 size: 81
[libx264 @ 0x1fe3040] frame B:133 Avg QP: 0.94 size: 73
[libx264 @ 0x1fe3040] consecutive B-frames: 0.6% 1.1% 0.0% 98.3%
[libx264 @ 0x1fe3040] mb I I16..4: 0.0% 100.0% 0.0%
[libx264 @ 0x1fe3040] mb P I16..4: 0.0% 0.0% 0.0% P16..4: 0.0% 0.0% 0.0% 0.0% 0.0% skip:100.0%
[libx264 @ 0x1fe3040] mb B I16..4: 0.0% 0.0% 0.0% B16..8: 0.0% 0.0% 0.0% direct: 0.0% skip:100.0%
[libx264 @ 0x1fe3040] final ratefactor: -23.85
[libx264 @ 0x1fe3040] 8x8 transform intra:100.0%
[libx264 @ 0x1fe3040] coded y,u,v intra: 0.0% 0.0% 0.0% inter: 0.0% 0.0% 0.0%
[libx264 @ 0x1fe3040] i16 v,h,dc,p: 0% 0% 100% 0%
[libx264 @ 0x1fe3040] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 0% 0% 100% 0% 0% 0% 0% 0% 0%
[libx264 @ 0x1fe3040] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x1fe3040] kb/s:15.56Using : Ubuntu 16.04.2 LTS
I have successfully accomplished to capture the display :50 with "simplescreenrecorder", but that tool has no command line interface. It uses ffmpeg also, so it somehow should be possible to caputure the display but I can´t get it to work properly.
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ffmpeg and ffserver, rc buffer underflow ?
26 avril 2017, par Dove DevicI am attempting to write a simple streaming server for a project. I have an AWS Linux machine that will be running
ffserver
. Curently, as it stands, my config file looks like the following :#Server Configs
HTTPPort 8090
HTTPBindAddress 0.0.0.0
MaxHTTPConnections 2000
MaxClients 1000
MaxBandwidth 1000
CustomLog -
#Create a Status Page
<stream>
Format status
ACL allow localhost
ACL allow 255.255.255.255 #Allow everyone to view status, for now
</stream>
#Creates feed, only allow from self
<feed>
File /tmp/feed1.ffm
FileMaxSize 50M
ACL allow 127.0.0.1
ACL allow
</feed>
#Creates stream, allow everyone
<stream>
Format mpeg
Feed feed1.ffm
VideoFrameRate 30
VideoSize 640x480
AudioSampleRate 44100
</stream>I then am capturing my Webcam and sending it up to the server using the following command :
ffmpeg -f dshow
-i video="Webcam C170":audio="Microphone (Webcam C170)"
-b:v 1400k
-maxrate 2400k
-bufsize 1200k
-ab 64k
-s 640x480
-ac 1
-ar 44100
-y http://:8090/feed1.ffmWhen I run this however, I get the following output from my console :
Guessed Channel Layout for Input Stream #0.1 : stereo
Input #0, dshow, from 'video=Webcam C170:audio=Microphone (Webcam C170)':
Duration: N/A, start: 12547.408000, bitrate: N/A
Stream #0:0: Video: rawvideo (YUY2 / 0x32595559), yuyv422, 640x480, 30 tbr, 10000k tbn, 30 tbc
Stream #0:1: Audio: pcm_s16le, 44100 Hz, 2 channels, s16, 1411 kb/s
Output #0, ffm, to ':8090/feed1.ffm':
Metadata:
creation_time : 2017-04-26 14:55:27
encoder : Lavf57.25.100
Stream #0:0: Audio: mp2, 44100 Hz, mono, s16, 64 kb/s
Metadata:
encoder : Lavc57.24.102 mp2
Stream #0:1: Video: mpeg1video, yuv420p, 640x480, q=2-31, 64 kb/s, 30 fps, 1000k tbn, 30 tbc
Metadata:
encoder : Lavc57.24.102 mpeg1video
Side data:
unknown side data type 10 (24 bytes)
Stream mapping:
Stream #0:1 -> #0:0 (pcm_s16le (native) -> mp2 (native))
Stream #0:0 -> #0:1 (rawvideo (native) -> mpeg1video (native))
Press [q] to stop, [?] for help
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflowtime=00:00:01.13 bitrate= 404.8kbits/s dup=13 drop=0 speed=2.22x
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflowtime=00:00:01.63 bitrate= 361.1kbits/s dup=13 drop=0 speed=1.61x
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflowtime=00:00:02.13 bitrate= 368.6kbits/s dup=13 drop=0 speed= 1.4x
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflowtime=00:00:02.66 bitrate= 344.1kbits/s dup=13 drop=0 speed=1.32x
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflowtime=00:00:03.16 bitrate= 331.1kbits/s dup=13 drop=0 speed=1.25x
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
[mpeg1video @ 02e95180] rc buffer underflow
[mpeg1video @ 02e95180] max bitrate possibly too small or try trellis with large lmax or increase qmax
frame= 117 fps= 36 q=31.0 Lsize= 156kB time=00:00:03.86 bitrate= 330.5kbits/s dup=13 drop=0 speed= 1.2x
video:118kB audio:27kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 7.659440%
Exiting normally, received signal 2.And on my viewer, I just get a black screen.
Is there something I’m missing ? Searching lead to nothing on "increasing qmax" or anything similar to what
ffmpeg
complained about. There have been questions asked here, but nothing has been done/answered.Thanks in advance
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Tracking User Acquisition and Social Media Activity with Piwik
25 avril 2017, par Florian Hieß — CommunityBeing able to monitor user acquisition and social media activity is essential for determining whether the outcome of your campaigns is in line with the business objectives. Determining the source of each website visit that gets you closer to your business goals enables you to focus your efforts in the directions that are worth it. In this article you will learn why it is important to identify your traffic sources and how you can track user acquisition with Piwik Analytics.
Why Is It Important to Identify Traffic Sources on Your Website ?
Since brands nowadays use multiple channels for promotion and advertising, identifying the touch points and traffic sources of a lead or customer seems to become more and more difficult. And yet, this channel multiplication is what makes the source of a purchase more important. Once you identify the traffic origin and how each source is performing you are able to increase your efforts on the best performers, both in terms of human resources and monetary investments, to attract more leads or customers in these marketing channels.
The default referrer types are defined by :
- Search engine
- Direct traffic
- Websites and
- Campaigns
But consider that within the “Campaigns” type, each of the following referrers is a possible traffic source for your website and can be tracked with the Piwik URL builder :
- Google AdWords
- Display Ads, Banners
- Links in Newsletters, Emailing
- Affiliate links
- Tweets
- Facebook Ads
Measure your performance and conversion
With so many options, wouldn’t you like to know which one of them worked best ? To rate channels based on their performance, you first need to establish conversion goals and attribution.
A conversion can be anything from sign-ups or downloads to leads, registered users and even paying customers. Define conversions based on what you want people to do once they’ve landed on your website.
You need to define each conversion type in the Piwik dashboard, so that the analytics platform knows what to track. As far as attribution goes, Piwik by default links the conversion and attributes to the last seen (non-direct) referrer. You are able to change that to the first referrer in the attribution line by following the instructions in this conversion attribution FAQ.
Track Your User Acquisition Right with Piwik
Using the Piwik URL Builder tool, you can tag each URL you promote in your campaigns using relevant keywords. Provided that your URLs are tagged, whenever someone clicks on them, the campaign will be listed as the referrer in the Piwik dashboard. Once you’ve generated trackable URLs, you can include them in your social media posts which could be planned and scheduled using a social media management tool such as Swat.io.
Campaign URLs work wonders for telling which campaign helped you reach your goals faster, more efficiently and so on but they do have a downside. They only work for URLs that you’ve shared. If someone decides to share a link of yours on social media they won’t be tagged beforehands. This is where the Referrers section of Piwik comes in handy, as it acts as a backup for tracking traffic sources. The overview tab features a graph that can help you identify when spikes occurred.
As well as a numerical representation of the main referrer categories for the selected time period.
Switching from Overview to Websites & Social, you can see a graphical representation of the social networks acting as referrers. The visualization can be changed to bar graphs or table, and can be easily exported in various formats for reports.
The websites list features not only the social referrers, but all of the websites generating visits to your website. With Piwik you should not have issues with referrer spam, as the Piwik core team has tackled this problem early on, as detailed in how to stop referrer spam. Our analytics spam blacklist is a public project on GitHub.
Assuming that you’re relying only on Facebook and VK.com for your campaigns, as the above screenshot would suggest, you might want to give paid advertising a try on these two social networks. Paid ads can increase reach and engagement, can get more relevant visitors to your website and can have a snowball effect in a short period of time.
What Social Networks Can Piwik Track ?
Piwik’s built-in social network list is quite extensive, as it currently features 70 platforms. The entries range from popular social networks such as Facebook, Twitter and LinkedIn to more obscure ones such as Renren. However, this list is not available by default, and to see it or alter it, you would need a third-party plugin.
How Does the Referrers Manager Plugin for Piwik Work ?
The Referrers Manager plugin for Piwik provides access to the list of search engines and social networks that this analytics platform can handle by default. The simple plugin can come in handy when sorting out referrers. First of all, it displays a list of all search engines and social networks that Piwik can handle by default. Secondly, it enables users to disable/enable the platform’s default social network list. And using Referrers Manager, you can add custom engines or social networks to the referrers list in case they’re not already available.
Conclusions
Piwik is a very capable analytics platform as it is, but combined with third-party plugins such as Referrers Manager, it can provide even better insights on where your visitors are coming from. Remember to correlate the referrers with goals in order to determine which website or social network performs best in your context. And don’t forget to assign a monetary revenue value to each goal, in order to determine your social media ROI with greater accuracy.