Recherche avancée

Sur d’autres sites (6056)

• Displaying the current frame of a video after skipping using drawtext/start_number not evaluation any variables

  30 mars 2017, par DJ Quardaboff

  I would like to display the current frame number on a video while playing it with ffplay. I have already seen this solution, but when I seek to any part of the video, the counter resets. There’s a variable, start_number, which the ffplay documentation says is The starting frame number for the n/frame_num variable. The default value is "0". It seems that n is set to that when starting the video or seeking between I-frames. I thought setting this variable to %{floor(t*60)} would solve my problem, but after running this :

  ffplay -i "video.mp4" -vf drawtext="fontsize=30:box=1:boxcolor=white:fontcolor=black:fontfile=/Windows/Fonts/arial.ttf:start_number=floor(t*60):text=%{n}"

  I got the following console output :

  ffplay version N-84679-gd65b595 Copyright (c) 2003-2017 the FFmpeg developers
  
    built with gcc 6.3.0 (GCC)
  
    configuration: --enable-gpl --enable-version3 --enable-cuda --enable-cuvid --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-nvenc --enable-avisynth --enable-bzlib --enable-fontconfig --enable-frei0r --enable-gnutls --enable-iconv --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libfreetype --enable-libgme --enable-libgsm --enable-libilbc --enable-libmodplug --enable-libmp3lame --enable-libopencore-amrnb --enable-libopencore-amrwb --enable-libopenh264 --enable-libopenjpeg --enable-libopus --enable-librtmp --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvo-amrwbenc --enable-libvorbis --enable-libvpx --enable-libwavpack --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxavs --enable-libxvid --enable-libzimg --enable-lzma --enable-zlib
  
    libavutil      55. 51.100 / 55. 51.100
  
    libavcodec     57. 86.103 / 57. 86.103
  
    libavformat    57. 67.100 / 57. 67.100
  
    libavdevice    57.  3.101 / 57.  3.101
  
    libavfilter     6. 78.100 /  6. 78.100
  
    libswscale      4.  3.101 /  4.  3.101
  
    libswresample   2.  4.100 /  2.  4.100
  
    libpostproc    54.  2.100 / 54.  2.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'video.mp4':=    0B f=0/0
  
    Metadata:
  
      major_brand     : isom
  
      minor_version   : 512
  
      compatible_brands: isomiso2avc1mp41
  
      creation_time   : 2017-03-30T02:49:20.000000Z
  
      encoder         : Open Broadcaster Software v0.659b
  
    Duration: 00:05:36.85, start: 0.000000, bitrate: 72636 kb/s
  
      Stream #0:0(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 162 kb/s (default)
  
      Metadata:
  
    creation_time   : 2017-03-30T02:49:20.000000Z
  
    handler_name    : Sound Media Handler
  
  Stream #0:1(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p(tv, bt709/bt709/iec61966-2-1), 2560x1440, 72465 kb/s, 60 fps, 60 tbr, 1k tbn, 120 tbc (default)
  
  Metadata:
  
    creation_time   : 2017-03-30T02:49:20.000000Z
  
    handler_name    : Video Media Handler
  
    encoder         : AVC Coding
  
  [drawtext @ 00000000122770e0] [Eval @ 0000000008f3eb60] Undefined constant or missing '(' in 't*60)'
  
  [drawtext @ 00000000122770e0] Unable to parse option value "floor(t*60)"
  
  [drawtext @ 00000000122770e0] [Eval @ 0000000008f3ebd0] Undefined constant or missing '(' in 't*60)'
  
  [drawtext @ 00000000122770e0] Unable to parse option value "floor(t*60)"
  
  [drawtext @ 00000000122770e0] Error setting option start_number to value floor(t*60).
  
  [Parsed_drawtext_0 @ 000000000263eca0] Error applying options to the filter.
  
  Error initializing filter 'drawtext' with args 'fontsize=30:box=1:boxcolor=white:fontcolor=black:fontfile=/Windows/Fonts/arial.ttf:start_number=floor(t*60):text=%{n}'
  
     0.01 A-V:    nan fd=   0 aq=   22KB vq= 5866KB sq=    0B f=0/0

  In fact, any variable in start_number’s assignment invokes this error. I don’t know if I have the correct syntax, but does this mean it doesn’t evaluate expressions ? Or maybe it doesn’t accept variables for some reason ?

  After that downer I tried just setting the text to %{t}, which played the video, but repeatedly gave this error and had no text in the top left corner :

  [Parsed_drawtext_0 @ 0000000003e54ea0] %{t} is not known 0B f=0/0

  So does the current time variable just not work in drawtext ?
  Is there another way to write the current frame on the video or even on the console window ?

  Using Windows 10 Enterprise and the latest build of ffplay for windows at this time.

• ffmpeg streaming to youtube slow

  1er avril 2017, par boygiandi

  I’m trying to send a video file to youtube as livestreaming. The stream command look like this

  ffmpeg -re -i "/tmp/4745.mkv" -acodec aac -pix_fmt yuv420p -bufsize 6000k -vb 400k -maxrate 1500k -deinterlace -vcodec libx264 -preset fast -g 60 -r 30 -crf 1 -f flv "rtmp ://...."

  The last line of output log look like this

  [ sh : 2017-04-01 7:19:54 ]size= 242706kB time=00:21:08.11 bitrate=1567.9kbits/s speed=0.882x

  As I understand, the speed=0.882x mean it send data to youtube slower than expected ( 1x mean streaming fine, lower mean buffering ). I tried to change some params of ffmpeg command, like change -preset fast to superfast, ultrafast : it faster but quality very bad and I still can’t control the out put speed. Sometime it’s 1x, sometime lower.
  Note that I run more than 1 ffmpeg instants at the same time, it may problem of CPU, RAM or Network, I checked them all.

  • CPU 40% ( top command )
  • RAM used 3Gb/7Gb
  • Network upload Avg : 8.45 MBit/s ( Max Upload : 70.76 Mbit/s - speedtest )

  So I don’t know what’s problem. Anyone can help ?

• Matomo Celebrates 15 Years of Building an Open-Source & Transparent Web Analytics Solution

  30 juin 2022, par Matthieu Aubry — About, Community
  &lt;script type=&quot;text/javascript&quot;&gt;<br />
       if ('function' === typeof window.playMatomoVideo){<br />
       window.playMatomoVideo(&quot;brand&quot;, &quot;#brand&quot;)<br />
       } else {<br />
       document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;brand&quot;, &quot;#brand&quot;); });<br />
       }<br />
  &lt;/script&gt;

  Fifteen years ago, I realised that people (myself included) were increasingly integrating the internet into their everyday lives, and it was clear that it would only expand in the future. It was an exciting new world, but the amount of personal data shared online, level of tracking and lack of security was a growing concern. Google Analytics was just launched then and was already gaining huge traction – so data from millions of websites started flowing into Google’s database, creating what was then the biggest centralised database about people worldwide and their actions online.

  So as a young engineering student, I decided we needed to build an open source and transparent solution that could help make the internet more secure and private while still providing organisations with powerful insights. I aimed to create a win-win solution for businesses and their digital consumers.

  And in 2007, I started developing Matomo with the help from Scott Switzer and Jennifer Langdon (who offered me an internship and support).   

  All thanks to the Matomo Community

  We have reached significant milestones and made major changes over the last 15 years, but we wouldn’t be where we are today without the Matomo Community.

  So I would like to celebrate and thank the hundreds of volunteer developers who have donated their time to develop Matomo, the thousands of contributors who provided feedback to improve Matomo, the countless supportive forum members, our passionate team of 40 at Matomo, the numerous translators who have translated Matomo and the 1.5 million websites that choose Matomo as their analytics platform.

  

  Matomo has been a community effort built on the shoulders of many, and we will continue to work for you. 

  So let’s look at some milestones we have achieved over the last 15 years.

  Looking back on milestones in our timeline

  2007

  • Birth of Matomo
  • First alpha version released

  2008

  • Release first public 0.1.0 version

  2009

  • 50,000 websites use Matomo

  2010

  • Matomo first stable 1.0.0 released
  • Mobile app launched

  2011

  • Released Ecommerce Analytics, Custom Variables, First Party Cookies

  • Released Privacy control features (first of many privacy features to come !)

  2012

  • Released Log Analytics feature
  • 1 Million Downloads !
  • 300,000 websites worldwide use Matomo

  2013

  • Matomo is now available in 50 languages !
  • Matomo brand redesign

  2016

  • Released Roll-Up Reporting Premium Feature, Users Flow Premium Feature, White Label Premium Feature, A/B Testing Premium Feature, Media Analytics Premium Feature, Funnels Premium Feature and Activity Log Premium Feature 
  • On-Premise Premium Plugins now available on the Marketplace

  2017

  • Launched Matomo Cloud service 
  • Released Multi Channel Conversion Attribution Premium Feature, Custom Reports Premium Feature, Login Saml Premium Feature, WooCommerceAnalytics Premium Feature and Heatmap & Session Recording Premium Feature 

  2018

  • Piwik renamed to Matomo
  • New Matomo logo and Matomo.org website re-launch
  • Launch of Matomo Tag Manager
  • 10,000 stars on Github
  • GDPR comes into effect, and Matomo released new product features and published several new guides
  • 17 Matomo features videos published online
  • Reached thousands of paying customers, making the project sustainable and financially independent

  2019

  • 700,000 websites worldwide use Matomo
  • Google Analytics importer released

  2020

  • Matomo For WordPress goes live on the WP Marketplace !
  • Released Paid Advertising Performance Premium feature
  • 100 million On-Premise Plugins downloads on the marketplace (since the beginning)

  2021

  • 1,000,000 websites worldwide use Matomo
  • including 30,000 active Matomo for WordPress installations
  • Released SEO Web Vitals, Advertising Conversion Export and Tracking Spam Prevention feature

  2022

  • Released WP Statistics to Matomo importer

  Our efforts continue

  While we’ve seen incredible growth over the years, our work doesn’t stop there. In fact, we’re only just getting started.

  Today over 55% of the internet continues to use privacy-threatening web analytics solutions, while 1.5% uses Matomo. So there are still great strides to be made to create a more private internet, and joining the Matomo Community is one way to support this movement.

  There are many ways to get involved too, such as :

  • Submitting feature requests
  • Developing for Matomo 
  • Leaving Matomo a review on sites like Capterra, TrustRadius, G2 Crowd, alternativeTo, SaaSworthy, Siftery, Open Hub
  • Translating Matomo
  • Joining our Security Bug Bounty Programme
  • Sharing Matomo with your peers
  • Talking about Matomo on social platforms

  So what comes next for Matomo ?

  The future of Matomo is approachable, powerful and flexible. We’re strengthening the customers’ voice, expanding our resources internally (we’re continuously hiring !) and conducting rigorous customer research to craft a tool that balances usability and functionality.

  I look forward to the next 15 years and seeing what the future holds for Matomo and our community.