Recherche avancée

Médias (91)

Autres articles (43)

  • Multilang : améliorer l’interface pour les blocs multilingues

    18 février 2011, par

    Multilang est un plugin supplémentaire qui n’est pas activé par défaut lors de l’initialisation de MediaSPIP.
    Après son activation, une préconfiguration est mise en place automatiquement par MediaSPIP init permettant à la nouvelle fonctionnalité d’être automatiquement opérationnelle. Il n’est donc pas obligatoire de passer par une étape de configuration pour cela.

  • Les autorisations surchargées par les plugins

    27 avril 2010, par

    Mediaspip core
    autoriser_auteur_modifier() afin que les visiteurs soient capables de modifier leurs informations sur la page d’auteurs

  • Personnaliser les catégories

    21 juin 2013, par

    Formulaire de création d’une catégorie
    Pour ceux qui connaissent bien SPIP, une catégorie peut être assimilée à une rubrique.
    Dans le cas d’un document de type catégorie, les champs proposés par défaut sont : Texte
    On peut modifier ce formulaire dans la partie :
    Administration > Configuration des masques de formulaire.
    Dans le cas d’un document de type média, les champs non affichés par défaut sont : Descriptif rapide
    Par ailleurs, c’est dans cette partie configuration qu’on peut indiquer le (...)

Sur d’autres sites (6142)

  • Stream is not appearing on youtube

    1er novembre 2022, par AMRITESH GUPTA

    I am trying to stream a captured stream to youtube live through FFmpeg, but the stream is not appearing on youtube. I tried giving input from an mp4 file, and it worked perfectly but providing input as a buffer through stdin gives nothing.

    


    FFmpeg command

    


    ffmpeg -rtbufsize 100M -report -i - -v error -c:v libx264 -preset veryfast -tune zerolatency -g:v 60 -c:a aac -strict -2 -ar 44100 -b:a 64k -y -use_wallclock_as_timestamps 1 -async 1 -f flv ${youtubeURL}

    


    I used -report for generating a log report, and I couldn't find anything wrong with it.

    


    Here is snippet of log file

    


    ffmpeg started on 2022-11-01 at 09:42:32
Report written to "ffmpeg-20221101-094232.log"
Log level: 48
Command line:
ffmpeg -rtbufsize 100M -report -i - -v error -c:v libx264 -preset veryfast -tune zerolatency -g:v 60 -c:a aac -strict -2 -ar 44100 -b:a 64k -y -use_wallclock_as_timestamps 1 -async 1 -f flv rtmp://a.rtmp.youtube.com/live2/pxjt-j9g5-ygv8-0000-6w8h
ffmpeg version 2022-10-27-git-00b03331a0-full_build-www.gyan.dev Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12.1.0 (Rev2, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-bzlib --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libaribb24 --enable-libdav1d --enable-libdavs2 --enable-libuavs3d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs2 --enable-libxvid --enable-libaom --enable-libjxl --enable-libopenjpeg --enable-libvpx --enable-mediafoundation --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-liblensfun --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libvpl --enable-libshaderc --enable-vulkan --ena  libavutil      57. 39.101 / 57. 39.101
  libavcodec     59. 51.100 / 59. 51.100
  libavformat    59. 34.101 / 59. 34.101
  libavdevice    59.  8.101 / 59.  8.101
  libavfilter     8. 49.101 /  8. 49.101
  libswscale      6.  8.112 /  6.  8.112
  libswresample   4.  9.100 /  4.  9.100
  libpostproc    56.  7.100 / 56.  7.100
Splitting the commandline.
Reading option '-rtbufsize' ... matched as AVOption 'rtbufsize' with argument '100M'.
Reading option '-report' ... matched as option 'report' (generate a report) with argument '1'.
Reading option '-i' ... matched as input url with argument '-'.
Reading option '-v' ... matched as option 'v' (set logging level) with argument 'error'.
Reading option '-c:v' ... matched as option 'c' (codec name) with argument 'libx264'.
Reading option '-preset' ... matched as AVOption 'preset' with argument 'veryfast'.
Reading option '-tune' ... matched as AVOption 'tune' with argument 'zerolatency'.
Reading option '-g:v' ... matched as AVOption 'g:v' with argument '60'.
Reading option '-c:a' ... matched as option 'c' (codec name) with argument 'aac'.
Reading option '-strict' ...Routing option strict to both codec and muxer layer
 matched as AVOption 'strict' with argument '-2'.
Reading option '-ar' ... matched as option 'ar' (set audio sampling rate (in Hz)) with argument '44100'.
Reading option '-b:a' ... matched as option 'b' (video bitrate (please use -b:v)) with argument '64k'.
Reading option '-y' ... matched as option 'y' (overwrite output files) with argument '1'.
Reading option '-use_wallclock_as_timestamps' ... matched as AVOption 'use_wallclock_as_timestamps' with argument '1'.
Reading option '-async' ... matched as AVOption 'async' with argument '1'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'flv'.
Reading option 'rtmp://a.rtmp.youtube.com/live2/pxjt-j9g5-ygv8-0000-6w8h' ... matched as output url.
Finished splitting the commandline.
Parsing a group of options: global .
Applying option report (generate a report) with argument 1.
Applying option v (set logging level) with argument error.
Applying option y (overwrite output files) with argument 1.
Successfully parsed a group of options.
Parsing a group of options: input url -.
Successfully parsed a group of options.
Opening an input file: -.
[NULL @ 0000025c01844940] Opening 'pipe:' for reading
[pipe @ 0000025c01844e00] Setting default whitelist 'crypto,data'
[matroska,webm @ 0000025c01844940] Format matroska,webm probed with size=2048 and score=100
st:0 removing common factor 1000000 from timebase
[matroska,webm @ 0000025c01844940] Before avformat_find_stream_info() pos: 136 bytes read:32271 seeks:0 nb_streams:1
[extract_extradata @ 0000025c01817d40] nal_unit_type: 7(SPS), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 8(PPS), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 5(IDR), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 5(IDR), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 5(IDR), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 5(IDR), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 5(IDR), nal_ref_idc: 3
[extract_extradata @ 0000025c01817d40] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 7(SPS), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 8(PPS), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 5(IDR), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] Format yuv420p chosen by get_format().
[h264 @ 0000025c0186aac0] Reinit context to 1280x384, pix_fmt: yuv420p
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[h264 @ 0000025c0186aac0] nal_unit_type: 1(Coded slice of a non-IDR picture), nal_ref_idc: 3
[matroska,webm @ 0000025c01844940] max_analyze_duration 5000000 reached at 22181000 microseconds st:0
[matroska,webm @ 0000025c01844940] rfps: 1.000000 0.006758
[matroska,webm @ 0000025c01844940] rfps: 2.000000 0.019257
[matroska,webm @ 0000025c01844940] rfps: 7.916667 0.017773
[matroska,webm @ 0000025c01844940] rfps: 9.916667 0.012828
[matroska,webm @ 0000025c01844940] rfps: 10.916667 0.019976
[matroska,webm @ 0000025c01844940] rfps: 16.833333 0.010482
[matroska,webm @ 0000025c01844940] rfps: 17.833333 0.007736
[matroska,webm @ 0000025c01844940] rfps: 17.833333 0.007736
[matroska,webm @ 0000025c01844940] rfps: 18.833333 0.018506
[matroska,webm @ 0000025c01844940] After avformat_find_stream_info() pos: 88442 bytes read:88443 seeks:0 frames:31
Input #0, matroska,webm, from 'pipe:':
  Metadata:
    encoder         : Chrome
  Duration: N/A, start: 0.000000, bitrate: N/A
  Stream #0:0(eng), 31, 1/1000: Video: h264 (Constrained Baseline), yuv420p(progressive), 1280x382, SAR 1:1 DAR 640:191, 1 tbr, 1k tbn (default)
Successfully opened the file.
Parsing a group of options: output url rtmp://a.rtmp.youtube.com/live2/pxjt-j9g5-ygv8-0000-6w8h.
Applying option c:v (codec name) with argument libx264.
Applying option c:a (codec name) with argument aac.
Applying option ar (set audio sampling rate (in Hz)) with argument 44100.
Applying option b:a (video bitrate (please use -b:v)) with argument 64k.
Applying option f (force format) with argument flv.
Successfully parsed a group of options.
Opening an output file: rtmp://a.rtmp.youtube.com/live2/pxjt-j9g5-ygv8-0000-6w8h.
Codec AVOption b (set bitrate (in bits/s)) specified for output file #0 (rtmp://a.rtmp.youtube.com/live2/pxjt-j9g5-ygv8-0000-6w8h) has not been used for any stream. The most likely reason is either wrong type (e.g. a video option with no video streams) or that it is a private option of some encoder which was not actually used for any stream.
[rtmp @ 0000025c01d1bd00] No default whitelist set
[tcp @ 0000025c01844f40] No default whitelist set
[tcp @ 0000025c01844f40] Original list of addresses:
[tcp @ 0000025c01844f40] Address 142.250.193.204 port 1935
[tcp @ 0000025c01844f40] Address 142.250.193.236 port 1935
[tcp @ 0000025c01844f40] Address 142.250.206.108 port 1935
[tcp @ 0000025c01844f40] Address 142.250.206.140 port 1935
[tcp @ 0000025c01844f40] Address 142.250.206.172 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.12 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.44 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.76 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.108 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.140 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.172 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.204 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.236 port 1935
[tcp @ 0000025c01844f40] Address 142.250.195.12 port 1935
[tcp @ 0000025c01844f40] Address 142.250.207.204 port 1935
[tcp @ 0000025c01844f40] Address 142.250.207.236 port 1935
[tcp @ 0000025c01844f40] Interleaved list of addresses:
[tcp @ 0000025c01844f40] Address 142.250.193.204 port 1935
[tcp @ 0000025c01844f40] Address 142.250.193.236 port 1935
[tcp @ 0000025c01844f40] Address 142.250.206.108 port 1935
[tcp @ 0000025c01844f40] Address 142.250.206.140 port 1935
[tcp @ 0000025c01844f40] Address 142.250.206.172 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.12 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.44 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.76 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.108 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.140 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.172 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.204 port 1935
[tcp @ 0000025c01844f40] Address 142.250.194.236 port 1935
[tcp @ 0000025c01844f40] Address 142.250.195.12 port 1935
[tcp @ 0000025c01844f40] Address 142.250.207.204 port 1935
[tcp @ 0000025c01844f40] Address 142.250.207.236 port 1935
[tcp @ 0000025c01844f40] Starting connection attempt to 142.250.193.204 port 1935
[tcp @ 0000025c01844f40] Successfully connected to 142.250.193.204 port 1935
[rtmp @ 0000025c01d1bd00] Handshaking...
[rtmp @ 0000025c01d1bd00] Type answer 3
[rtmp @ 0000025c01d1bd00] Server version 4.0.0.1
[rtmp @ 0000025c01d1bd00] Proto = rtmp, path = /live2/pxjt-j9g5-ygv8-0000-6w8h, app = live2, fname = pxjt-j9g5-ygv8-0000-6w8h
[rtmp @ 0000025c01d1bd00] Window acknowledgement size = 2500000
[rtmp @ 0000025c01d1bd00] Max sent, unacked = 59768832
[rtmp @ 0000025c01d1bd00] Releasing stream...
[rtmp @ 0000025c01d1bd00] FCPublish stream...
[rtmp @ 0000025c01d1bd00] Creating stream...
[rtmp @ 0000025c01d1bd00] Sending publish command for 'pxjt-j9g5-ygv8-0000-6w8h'
Successfully opened the file.
detected 8 logical cores
[h264 @ 0000025c01882e00] nal_unit_type: 7(SPS), nal_ref_idc: 3
[h264 @ 0000025c01882e00] nal_unit_type: 8(PPS), nal_ref_idc: 3
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
[matroska,webm @ 0000025c01844940] Thread message queue blocking; consider raising the thread_queue_size option (current value: 1)
[h264 @ 0000025c01882e00] nal_unit_type: 7(SPS), nal_ref_idc: 3
[h264 @ 0000025c01882e00] nal_unit_type: 8(PPS), nal_ref_idc: 3
[h264 @ 0000025


    


  • Is Google Analytics Accurate ? 6 Important Caveats

    8 novembre 2022, par Erin

    It’s no secret that accurate website analytics is crucial for growing your online business — and Google Analytics is often the go-to source for insights. 

    But is Google Analytics data accurate ? Can you fully trust the provided numbers ? Here’s a detailed explainer.

    How Accurate is Google Analytics ? A Data-Backed Answer 

    When properly configured, Google Analytics (Universal Analytics and Google Analytics 4) is moderately accurate for global traffic collection. That said : Google Analytics doesn’t accurately report European traffic. 

    According to GDPR provisions, sites using GA products must display a cookie consent banner. This consent is required to collect third-party cookies — a tracking mechanism for identifying users across web properties.

    Google Analytics (GA) cannot process data about the user’s visit if they rejected cookies. In such cases, your analytics reports will be incomplete.

    Cookie rejection refers to visitors declining or blocking cookies from ever being collected by a specific website (or within their browser). It immediately affects the accuracy of all metrics in Google Analytics.

    Google Analytics is not accurate in locations where cookie consent to tracking is legally required. Most consumers don’t like disruptive cookie banners or harbour concerns about their privacy — and chose to reject tracking. 

    This leaves businesses with incomplete data, which, in turn, results in : 

    • Lower traffic counts as you’re not collecting 100% of the visitor data. 
    • Loss of website optimisation capabilities. You can’t make data-backed decisions due to inconsistent reporting

    For the above reasons, many companies now consider cookieless website tracking apps that don’t require consent screen displays. 

    Why is Google Analytics Not Accurate ? 6 Causes and Solutions 

    A high rejection rate of cookie banners is the main reason for inaccurate Google Analytics reporting. In addition, your account settings can also hinder Google Analytics’ accuracy.

    If your analytics data looks wonky, check for these six Google Analytics accuracy problems. 

    You Need to Secure Consent to Cookies Collection 

    To be GDPR-compliant, you must display a cookie consent screen to all European users. Likewise, other jurisdictions and industries require similar measures for user data collection. 

    This is a nuisance for many businesses since cookie rejection undermines their remarketing capabilities. Hence, some try to maximise cookie acceptance rates with dark patterns. For example : hide the option to decline tracking or make the texts too small. 

    Cookie consent banner examples
    Banner on the left doesn’t provide an evident option to reject all cookies and nudges the user to accept tracking. Banner on the right does a better job explaining the purpose of data collection and offers a straightforward yes/no selection

    Sadly, not everyone’s treating users with respect. A joint study by German and American researchers found that only 11% of US websites (from a sample of 5,000+) use GDPR-compliant cookie banners.

    As a result, many users aren’t aware of the background data collection to which they have (or have not) given consent. Another analysis of 200,000 cookies discovered that 70% of third-party marketing cookies transfer user data outside of the EU — a practice in breach of GDPR.

    Naturally, data regulators and activities are after this issue. In April 2022, Google was pressured to introduce a ‘reject all’ cookies button to all of its products (a €150 million compliance fine likely helped with that). Whereas, noyb has lodged over 220 complaints against individual websites with deceptive cookie consent banners.

    The takeaway ? Messing up with the cookie consent mechanism can get you in legal trouble. Don’t use sneaky banners as there are better ways to collect website traffic statistics. 

    Solution : Try Matomo GDPR-Friendly Analytics 

    Fill in the gaps in your traffic analytics with Matomo – a fully GDPR-compliant product that doesn’t rely on third-party cookies for tracking web visitors. Because of how it is designed, the French data protection authority (CNIL) confirmed that Matomo can be used to collect data without tracking consent.

    With Matomo, you can track website users without asking for cookie consent. And when you do, we supply you with a compact, compliant, non-disruptive cookie banner design. 

    Your Google Tag Isn’t Embedded Correctly 

    Google Tag (gtag.js) is a web tracking script that sends data to your Google Analytics, Google Ads and Google Marketing Platform.

    A corrupted gtag.js installation can create two accuracy issues : 

    • Duplicate page tracking 
    • Missing script installation 

    Is there a way to tell if you’re affected ?

    Yes. You may have duplicate scripts installed if you have a very low bounce rate on most website pages (below 15% – 20%). The above can happen if you’re using a WordPress GA plugin and additionally embed gtag.js straight in your website code. 

    A tell-tale sign of a missing script on some pages is low/no traffic stats. Google alerts you about this with a banner : 

    Google Analytics alerts

    Solution : Use Available Troubleshooting Tools 

    Use Google Analytics Debugger extension to analyse pages with low bounce rates. Use the search bar to locate duplicate code-tracking elements. 

    Alternatively, you can use Google Tag Assistant for diagnosing snippet install and troubleshooting issues on individual pages. 

    If the above didn’t work, re-install your analytics script. 

    Machine Learning and Blended Data Are Applied

    Google Analytics 4 (GA4) relies a lot on machine learning and algorithmic predictions.

    By applying Google’s advanced machine learning models, the new Analytics can automatically alert you to significant trends in your data. [...] For example, it calculates churn probability so you can more efficiently invest in retaining customers.

    Vidhya Srinivasan, VP of Measurement, Analytics and Buying Platforms at Google

    On the surface, the above sounds exciting. In practice, Google’s application of predictive algorithms means you’re not seeing actual data. 

    To offer a variation of cookieless tracking, Google algorithms close the gaps in reporting by creating models (i.e., data-backed predictions) instead of reporting on actual user behaviours. Therefore, your GA4 numbers may not be accurate.

    For bigger web properties (think websites with 1+ million users), Google also relies on data sampling — a practice of extrapolating data analytics, based on a data subset, rather than the entire dataset. Once again, this can lead to inconsistencies in reporting with some numbers (e.g., average conversion rates) being inflated or downplayed. 

    Solution : Try an Alternative Website Analytics App 

    Unlike GA4, Matomo reports consist of 100% unsampled data. All the aggregated reporting you see is based on real user data (not guesstimation). 

    Moreover, you can migrate from Universal Analytics (UA) to Matomo without losing access to your historical records. GA4 doesn’t yet have any backward compatibility.

    Spam and Bot Traffic Isn’t Filtered Out 

    Surprise ! 42% of all Internet traffic is generated by bots, of which 27.7% are bad ones.

    Good bots (aka crawlers) do essential web “housekeeping” tasks like indexing web pages. Bad bots distribute malware, spam contact forms, hack user accounts and do other nasty stuff. 

    A lot of such spam bots are designed specifically for web analytics apps. The goal ? Flood your dashboard with bogus data in hopes of getting some return action from your side. 

    Types of Google Analytics Spam :

    • Referral spam. Spambots hijack the referrer, displayed in your GA referral traffic report to indicate a page visit from some random website (which didn’t actually occur). 
    • Event spam. Bots generate fake events with free language entries enticing you to visit their website. 
    • Ghost traffic spam. Malicious parties can also inject fake pageviews, containing URLs that they want you to click. 

    Obviously, such spammy entities distort the real website analytics numbers. 

    Solution : Set Up Bot/Spam Filters 

    Google Analytics 4 has automatic filtering of bot traffic enabled for all tracked Web and App properties. 

    But if you’re using Universal Analytics, you’ll have to manually configure spam filtering. First, create a new view and then set up a custom filter. Program it to exclude :

    • Filter Field : Request URI
    • Filter Pattern : Bot traffic URL

    Once you’ve configured everything, validate the results using Verify this filter feature. Then repeat the process for other fishy URLs, hostnames and IP addresses. 

    You Don’t Filter Internal Traffic 

    Your team(s) spend a lot of time on your website — and their sporadic behaviours can impair your traffic counts and other website metrics.

    To keep your data “employee-free”, exclude traffic from : 

    • Your corporate IPs addresses 
    • Known personal IPs of employees (for remote workers) 

    If you also have a separate stage version of your website, you should also filter out all traffic coming from it. Your developers, contractors and marketing people spend a lot of time fiddling with your website. This can cause a big discrepancy in average time on page and engagement rates. 

    Solution : Set Internal Traffic Filters 

    Google provides instructions for excluding internal traffic from your reports using IPv4/IPv6 address filters. 

    Google Analytics IP filters

    Session Timeouts After 30 Minutes 

    After 30 minutes of inactivity, Google Analytics tracking sessions start over. Inactivity means no recorded interaction hits during this time. 

    Session timeouts can be a problem for some websites as users often pin a tab to check it back later. Because of this, you can count the same user twice or more — and this leads to skewed reporting. 

    Solution : Programme Custom Timeout Sessions

    You can codify custom cookie timeout sessions with the following code snippets : 

    Final Thoughts 

    Thanks to its scale and longevity, Google Analytics has some strong sides, but its data accuracy isn’t 100% perfect.

    The inability to capture analytics data from users who don’t consent to cookie tracking and data sampling applied to bigger web properties may be a deal-breaker for your business. 

    If that’s the case, try Matomo — a GDPR-compliant, accurate web analytics solution. Start your 21-day free trial now. No credit card required.

  • ffmpeg can't stop, when running with gcc 4.8.5 (GCC) 20150623 (Red Hat 4.8.5-44)

    9 novembre 2022, par haizhohuang

    when i use local ffmpeg, it exit normally.

    


    cmd = f'ffmpeg -nostdin -vsync 0 -i {sec_replace(video_path)} -r {marked_paras.get_divide_frame_fps()}' \
      f'-q:v 2 -f image2 {crop_info} {sec_replace(default_frames_dir)}%08d.png'
logger.info(cmd)
p = subprocess.Popen(cmd,
                     stdin=subprocess.PIPE,
                     stdout=subprocess.PIPE,
                     stderr=subprocess.PIPE, shell=True)

# p.communicate()
command.utp_command("ps aux | grep ffmpeg")
timer = Timer(60, p.kill)
try:
    timer.start()
    stdout, stderr = p.communicate()
finally:
    timer.cancel()
command.utp_command("ffmpeg --version")
logger.info("stdout: {}".format(stdout))
logger.info("stdout: {}".format(stderr))


    


    local stdout
ffmpeg version 5.1.2 Copyright (c) 2000-2022 the FFmpeg developers\n built with Apple clang version 14.0.0

    


    stdout: b"ffmpeg version 5.1.2 Copyright (c) 2000-2022 the FFmpeg developers\n  built with Apple clang version 14.0.0 (clang-1400.0.29.102)\n  configuration: --prefix=/usr/local/Cellar/ffmpeg/5.1.2 --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\n  libavutil      57. 28.100 / 57. 28.100\n  libavcodec     59. 37.100 / 59. 37.100\n  libavformat    59. 27.100 / 59. 27.100\n  libavdevice    59.  7.100 / 59.  7.100\n  libavfilter    =-0.0 size=N/A time=00:00:07.56 bitrate=N/A speed=0.71x    \r[image2 @ 0x7fd891906080] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 231 >= 231\nframe=  281 fps= 25 q=-0.0 size=N/A time=00:00:07.90 bitrate=N/A speed=0.708x    \rframe=  291 fps= 25 q=-0.0 size=N/A time=00:00:08.23 bitrate=N/A speed=0.706x    \r[image2 @ 0x7fd891906080] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 247 >= 247\nframe=  300 fps= 25 q=-0.0 size=N/A time=00:00:08.50 bitrate=N/A speed=0.698x    \r[image2 @ 0x7fd891906080] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 261 >= 261\nframe=  312 fps= 25 q=-0.0 size=N/A time=00:00:08.86 bitrate=N/A speed=0.699x    \r[image2 @ 0x7fd891906080] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 276 >= 276\nframe=  325 fps= 25 q=-0.0 size=N/A time=00:00:09.26 bitrate=N/A speed=0.702x    \rframe=  335 fps= 24 q=-0.0 size=N/A time=00:00:09.60 bitrate=N/A speed= 0.7x    \r[image2 @ 0x7fd891906080] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 290 >= 290\n[image2 @ 0x7fd891906080] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 305 >= 305\nframe=  344 fps= 24 q=-0.0 Lsize=N/A time=00:00:10.23 bitrate=N/A speed=0.708x    \nvideo:1096936kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown\n"


    


    But when i put it in cloud. it can't stop the subprocess and blocking in communicate util being killed

    


    remote output
ffmpeg version 3.4.11 Copyright (c) 2000-2022 the FFmpeg developers\n built with gcc 4.8.5 (GCC) 20150623 (Red Hat 4.8.5-44)

    


    stdout: b"ffmpeg version 3.4.11 Copyright (c) 2000-2022 the FFmpeg developers\n  built with gcc 4.8.5 (GCC) 20150623 (Red Hat 4.8.5-44)\n  configuration: --prefix=/usr --bindir=/usr/bin --datadir=/usr/share/ffmpeg --docdir=/usr/share/doc/ffmpeg --incdir=/usr/include/ffmpeg --libdir=/usr/lib64 --mandir=/usr/share/man --arch=x86_64 --optflags='-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -m64 -mtune=generic' --extra-ldflags='-Wl,-z,relro ' --extra-cflags=' ' --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libvo-amrwbenc --enable-version3 --enable-bzlib --disable-crystalhd --enable-fontconfig --enable-gcrypt --enable-gnutls --enable-ladspa --enable-libass --enable-libbluray --enable-libcdio --enable-libdrm --enable-indev=jack --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libmp3lame --enable-nvenc --enable-openal --enable-opencl --enable-opengl --enable-libopenjpeg --enable-libopus --disable-encoder=libopus --enable-libpulse --enable-librsvg --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libvorbis --enable-libv4l2 --enable-libvidstab --enable-libvpx --enable-libx264 --enable-libx265 --enable-libxvid --enable-libzvbi --enable-avfilter --enable-avresample --enable-libmodplug --enable-postproc --enable-pthreads --disable-static --enable-shared --enable-gpl --disable-debug --disable-stripping --shlibdir=/usr/lib64 --enable-libmfx --enable-runtime-cpudetect\n  libavutil      55. 78.100 / 55. 78.100\n  libavcodec     57.107.100 / 57.107.100\n  libavformat    57. 83.100 / 57. 83.100\n  libavdevice    57. 10.100 / 57. 10.100\n  libavfilter     6.107.100 /  6.107.100\n  libavresample   3.  7.  0 /  3.  7.  0\n  libswscale      4.  8.100 /  4.  8.100\n  libswresample   2.  9.100 /  2.  9.100\n  libpostproc    54.  7.100 / 54.  7.100\nInput #0, matroska,webm, from 'case.videoquality.recommend_video_quality_performance_case.recommend_video_quality_test/record_video/com.tencent.mtt/1667903766/test.mkv':\n  Metadata:\n    COMMENT         : Recorded by scrcpy 1.24\n    ENCODER         : Lavf57.83.100\n  Duration: N/A, start: 0.000000, bitrate: N/A\n    Stream #0:0: Video: h264 (Constrained Baseline), yuv420p(progressive), 1080x2240, 1k fps, 59.94 tbr, 1k tbn, 2k tbc (default)\nUsing -vsync 0 and -r can produce invalid output files\nStream mapping:\n  Stream #0:0 -> #0:0 (h264 (native) -> png (native))\nPress [q] to stop, [?] for help\nOutput #0, image2, to 'case.videoquality.recommend_video_quality_performance_case.recommend_video_quality_test/record_video/com.tencent.mtt/1667903766/frames_end/%08d.png':\n  Metadata:\n    COMMENT         : Recorded by scrcpy 1.24\n    encoder         : Lavf57.83.100\n    Stream #0:0: Video: png, rgb24, 1080x2240, q=2-31, 200 kb/s, 30 fps, 30 tbn, 30 tbc (default)\n    Metadata:\n      encoder         : Lavc57.107.100 png\nframe=    6 fps=0.0 q=-0.0 size=N/A time=00:00:00.06 bitrate=N/A speed=0.109x    \r[image2size=N/A time=00:00:17.06 bitrate=N/A speed=0.296x    \r[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 512 >= 512\n[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 514 >= 514\nframe=  703 fps= 12 q=-0.0 size=N/A time=00:00:17.20 bitrate=N/A speed=0.295x    \r[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 516 >= 516\n[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 517 >= 517\n[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 518 >= 518\nframe=  711 fps= 12 q=-0.0 size=N/A time=00:00:17.36 bitrate=N/A speed=0.295x    \r[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 520 >= 520\n[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 521 >= 521\n[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 522 >= 522\nframe=  717 fps= 12 q=-0.0 size=N/A time=00:00:17.46 bitrate=N/A speed=0.293x    \r[image2 @ 0x1a3e900] Application provided invalid, non monotonically increasing dts to muxer in stream 0: 524 >= 524\n"


    


    i want to stop the subprocess by ffmpeg self in cloud

    


Navigation