Sur d’autres sites (9250)

• Want to send a video from desktop to Wowza using ffmpeg

  3 mars 2018, par ST94

  I am trying to stream a local .mp4 video file from my laptop to Wowza Streaming Engine using ffmpeg. Both systems are able to ping each other. I give the following command on my laptop

  ffmpeg -re -i bunny_1080p_60fps_normal.mp4 -vcodec libx264 -acodec aac -ar 48000 -strict experimental -f flv "rtmp://192.168.1.22:1935/live/myStream"

  192.168.1.22 is the IP address of Wowza server residing on another system running Ubuntu 17.04.

  I see the following on the command prompt of my laptop when I give the above command,

  ffmpeg version N-89894-g18e2ac032e Copyright (c) 2000-2018 the FFmpeg developers
  
    built with gcc 7.2.0 (GCC)
  
    configuration: --enable-gpl --enable-version3 --enable-sdl2 --enable-bzlib --enable-fontconfig --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libfreetype --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenjpeg --enable-libopus --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libtheora --enable-libtwolame --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxml2 --enable-libzimg --enable-lzma --enable-zlib --enable-gmp --enable-libvidstab --enable-libvorbis --enable-libvo-amrwbenc --enable-libmysofa --enable-libspeex --enable-libxvid --enable-libmfx --enable-amf --enable-cuda --enable-cuvid --enable-d3d11va --enable-nvenc --enable-dxva2 --enable-avisynth
  
    libavutil      56.  7.100 / 56.  7.100
  
    libavcodec     58.  9.100 / 58.  9.100
  
    libavformat    58.  5.101 / 58.  5.101
  
    libavdevice    58.  0.101 / 58.  0.101
  
    libavfilter     7. 11.101 /  7. 11.101
  
    libswscale      5.  0.101 /  5.  0.101
  
    libswresample   3.  0.101 /  3.  0.101
  
    libpostproc    55.  0.100 / 55.  0.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'bunny_1080p_60fps_normal.mp4':
  
    Metadata:
  
      major_brand     : isom
  
      minor_version   : 1
  
      compatible_brands: isomavc1
  
      creation_time   : 2013-12-16T17:59:32.000000Z
  
      title           : Big Buck Bunny, Sunflower version
  
      artist          : Blender Foundation 2008, Janus Bager Kristensen 2013
  
      comment         : Creative Commons Attribution 3.0 - http://bbb3d.renderfarming.net
  
      genre           : Animation
  
      composer        : Sacha Goedegebure
  
    Duration: 00:10:34.53, start: 0.000000, bitrate: 4486 kb/s
  
      Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1920x1080 [SAR 1:1 DAR 16:9], 4001 kb/s, 60 fps, 60 tbr, 60k tbn, 120 tbc (default)
  
      Metadata:
  
        creation_time   : 2013-12-16T17:59:32.000000Z
  
        handler_name    : GPAC ISO Video Handler
  
      Stream #0:1(und): Audio: mp3 (mp4a / 0x6134706D), 48000 Hz, stereo, s16p, 160 kb/s (default)
  
      Metadata:
  
        creation_time   : 2013-12-16T17:59:37.000000Z
  
        handler_name    : GPAC ISO Audio Handler
  
      Stream #0:2(und): Audio: ac3 (ac-3 / 0x332D6361), 48000 Hz, 5.1(side), fltp, 320 kb/s (default)
  
      Metadata:
  
        creation_time   : 2013-12-16T17:59:37.000000Z
  
        handler_name    : GPAC ISO Audio Handler
  
      Side data:
  
        audio service type: main
  
  [rtmp @ 000001ed7c4108c0] No credentials set
  
  [rtmp @ 000001ed7c4108c0] Server error: [ AccessManager.Reject ] : [ code=403 need auth; authmod=adobe ] :
  
  rtmp://192.168.1.22:1935/live/myStream: Unknown error occurred

  Can anyone please tell me what the exact procedure is to stream a video file to Wowza .

  How will I be able to view the stream at Wowza ?

• configure : check for a sufficiently recent enough AMF version

  9 septembre 2019, par Hendrik Leppkes

  configure : check for a sufficiently recent enough AMF version
  Due to the recent addition of Vulkan support to AMF, we require more
  
  recent headers that include the new structures, which have been
  
  available since AMF 1.4.9 released in September 2018.
  Fixes Ticket #8125
  

  • [DH] configure

• What is Google Analytics data sampling and what’s so bad about it ?

  16 août 2019, par Joselyn Khor — Analytics Tips, Development
  What is Google Analytics data sampling, and what’s so bad about it ?

  Google (2019) explains what data sampling is :

  “In data analysis, sampling is the practice of analysing a subset of all data in order to uncover the meaningful information in the larger data set.”[1]

  This is basically saying instead of analysing all of the data, there’s a threshold on how much data is analysed and any data after that will be an assumption based on patterns.

  Google’s (2019) data sampling thresholds :

  Ad-hoc queries of your data are subject to the following general thresholds for sampling :
  [Google] Analytics Standard : 500k sessions at the property level for the date range you are using
  [Google] Analytics 360 : 100M sessions at the view level for the date range you are using (para. 3) [2]

  This threshold is limiting because your data in GA may become more inaccurate as the traffic to your website increases.

  Say you’re looking through all your traffic data from the last year and find you have 5 million page views. Only 500K of that 5 million is accurate ! The data for the remaining 4.5 million (90%) is an assumption based on the 500K sample size.

  This is a key weapon Google uses to sell to large businesses. In order to increase that threshold for more accurate reporting, upgrading to premium Google Analytics 360 for approximately US$150,000 per year seems to be the only choice.

  What’s so bad about data sampling ?

  It’s unfair to say sampled data is to be disregarded completely. There is a calculation ensuring it is representative and can allow you to get good enough insights. However, we don’t encourage it as we don’t just want “good enough” data. We want the actual facts.

  In a recent survey sent to Matomo customers, we found a large proportion of users switched from GA to Matomo due to the data sampling issue.

  The two reasons why data sampling isn’t preferable : 

  1. If the selected sample size is too small, you won’t get a good representative of all the data. 
  2. The bigger your website grows, the more inaccurate your reports will become.

  An example of why we don’t fully trust sampled data is, say you have an ecommerce store and see your GA revenue reports aren’t matching the actual sales data, due to data sampling. In GA you may be seeing revenue for the month as $1 million, instead of actual sales of $800K.

  The sampling here has caused an inaccuracy that could have negative financial implications. What you get in the GA report is an estimated dollar figure rather than the actual sales. Making decisions based on inaccurate data can be costly in this case. 

  Another disadvantage to sampled data is that you might be missing out on opportunities you would’ve noticed if you were given a view of the whole. E.g. not being able to see real patterns occurring due to the data already being predicted. 

  By not getting a chance to see things as they are and only being able to jump to the conclusions and assumptions made by GA is risky. The bigger your business grows, the less you can risk making business decisions based on assumptions that could be inaccurate. 

  If you feel you could be missing out on opportunities because your GA data is sampled data, get 100% accurately reported data. 

  The benefits of 100% accurate data

  Matomo doesn’t use data sampling on any of our products or plans. You get to see all of your data and not a sampled data set.

  Data quality is necessary for high impact decision-making. It’s hard to make strategic changes if you don’t have confidence that your data is reliable and accurate.

  Learn about how Matomo is a serious contender to Google Analytics 360. 

  Now you can import your Google Analytics data directly into your Matomo

  If you’re wanting to make the switch to Matomo but worried about losing all your historic Google Analytics data, you can now import this directly into your Matomo with the Google Analytics Importer tool.

  
  Take the challenge !

  Compare your Google Analytics data (sampled data) against your Matomo data, or if you don’t have Matomo data yet, sign up to our 30-day free trial and start tracking !

  References :

  [1 & 2] About data sampling. (2019). In Analytics Help About data sampling. Retrieved August 14, 2019, from https://support.google.com/analytics/answer/2637192