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• avformat : add AV1 RTP depacketizer and packetizer

  26 août 2024, par Chris Hodges

  avformat : add AV1 RTP depacketizer and packetizer
  Add RTP packetizer and depacketizer according to (most)
  
  of the official AV1 RTP specification. This enables
  
  streaming via RTSP between ffmpeg and ffmpeg and has
  
  also been tested to work with AV1 RTSP streams via
  
  GStreamer.
  It also adds the required SDP attributes for AV1.
  AV1 RTP encoding is marked as experimental due to
  
  draft specification status, debug amount reduced
  
  and other changes suggested by Tristan.
  Added optional code for searching the sequence
  
  header to determine the first packet for broken
  
  AV1 encoders / parsers.
  Stops depacketizing on corruption until next keyframe,
  
  no longer prematurely issues packet on decoding if
  
  temporal unit was not complete yet.
  Change-Id : I90f5c5b9d577908a0d713606706b5654fde5f910
  
  Signed-off-by : Chris Hodges <chrishod@axis.com>
  
  Signed-off-by : Ronald S. Bultje <rsbultje@gmail.com>
  

  • [DH] libavformat/Makefile
  • [DH] libavformat/demux.c
  • [DH] libavformat/rtp_av1.h
  • [DH] libavformat/rtpdec.c
  • [DH] libavformat/rtpdec_av1.c
  • [DH] libavformat/rtpdec_formats.h
  • [DH] libavformat/rtpenc.c
  • [DH] libavformat/rtpenc.h
  • [DH] libavformat/rtpenc_av1.c
  • [DH] libavformat/sdp.c

• Introducing the Matomo Connector for Looker Studio (Formerly Google Data Studio)

  26 janvier 2024, par Erin — Community

  Explore Matomo data like never before with the official Matomo Connector for Looker Studio. Matomo users can now securely display accurate web analytics data in Looker Studio for free.

  Connect Matomo to Looker Studio (formerly known as Google Data Studio) in a few clicks and start building dashboards instantly. Get access to a range of data visualisation capabilities and chart types in Looker Studio’s easy-to-use interface. 

  Leave behind manual, error-prone spreadsheet entries and disparate data. With the Matomo Connector for Looker Studio, you get unified, automated reporting and interactive dashboards for faster insights and smoother collaboration.

  What sets the official Matomo Connector for Looker Studio apart ?

  Our open-source connector puts security first by providing a reliable connection without relying on third-party intermediaries. It’s free, with no hidden charges, and no limits on the number of users or Matomo instances. Connect as many instances as you need. 

  Plus, our Support team is here anytime you need help.

  

  Who is this connector made for ?

  The Matomo Connector for Looker Studio is a good fit for institutions and corporations using Looker Studio, NGOs handling multiple entities, marketing agencies with various clients, and small to medium-sized businesses with advanced data practices.

  When is this connector not the best fit ?

  If you prioritise privacy and compliance, this might not be the right fit. The Looker Studio app operates on Google servers, and while we don’t log or store any data, privacy considerations should be carefully evaluated. Transferring data, especially visitor data, to external platforms can have privacy implications.

  Getting started

  Check out our documentation for an easy setup.

  To help, we’ve also created a template report so you can visualise your Matomo data instantly.

  Here’s how to get started :

  1. Visit the demo template report in Looker Studio
  2. Click the more options button then Make a copy

  

  3. Click Create data source within the New Data Source dropdown.

  

  4. Connect your Matomo (Full Connection Guide)
  5. Select the API > Main Metrics report
  6. Click Connect and then Add to Report
  7. Click Copy Report to finalise

  For additional support, visit our Matomo Looker Studio forum or reach out to our Looker Studio support team via email at support-lookerstudio@matomo.org

• why is ffmpeg so fast

  8 juillet 2017, par jx.xu

  I have written a ffmpeg-based C++ program about converting yuv to rgb using libswscale, similar to the official example.
  Just simple copy and modify the official example before build in my visual studio 2017 on windows 10. However, the time performance is much slower than the ffmpeg.exe executable file, as 36 seconds vs 12 seconds.
  I already know that ffmpeg uses some optimization techniques like SIMD instructions. While in my performance profiling, the bottleneck is disk I/O writing which takes at least 2/3 time.
  Then I develop a concurrent version where a dedicated thread will handle all I/O task while the situation doesn’t seem to improve. It’s worth noting that I use Boost C++ library to utilize multi-thread and asynchronous events.

  So, I just wanna know how can I modify program using the libraries of ffmpeg or the time performance gap towards ffmpeg.exe just can’ be catched up.

  As requested by friendly answers, I post my codes. Compiler is msvc in vs2017 and I turn on the full optimization /Ox .

  Supplement my main question, I make another plain disk I/O test merely copying the file of the same size. It’s surprising to find that plain sequential disk I/O costs 28 seconds while the front codes cost 36 seconds in total... Any one knows how can ffmpeg finishes the same job in only 12 seconds ? That must use some optimization techniques, like random disk I/O or memory buffer reusing ?

  #include "stdafx.h"
  
  #define __STDC_CONSTANT_MACROS
  
  extern "C" {
  
  #include <libavutil></libavutil>imgutils.h>
  
  #include <libavutil></libavutil>parseutils.h>
  
  #include <libswscale></libswscale>swscale.h>
  
  }
  
  
  
  #ifdef _WIN64
  
  #pragma comment(lib, "avformat.lib")
  
  #pragma comment(lib, "avcodec.lib")
  
  #pragma comment(lib, "avutil.lib")
  
  #pragma comment(lib, "swscale.lib")
  
  #endif
  
  
  
  #include <common></common>cite.hpp>   // just include headers of c++ STL/Boost
  
  
  
  int main(int argc, char **argv)
  
  {
  
      chrono::duration<double> period;
  
      auto pIn = fopen("G:/Panorama/UHD/originalVideos/DrivingInCountry_3840x1920_30fps_8bit_420_erp.yuv", "rb");
  
      auto time_mark = chrono::steady_clock::now();
  
  
  
      int src_w = 3840, src_h = 1920, dst_w, dst_h;
  
      enum AVPixelFormat src_pix_fmt = AV_PIX_FMT_YUV420P, dst_pix_fmt = AV_PIX_FMT_RGB24;
  
      const char *dst_filename = "G:/Panorama/UHD/originalVideos/out.rgb";
  
      const char *dst_size = "3840x1920";
  
      FILE *dst_file;
  
      int dst_bufsize;
  
      struct SwsContext *sws_ctx;
  
      int i, ret;
  
      if (av_parse_video_size(&amp;dst_w, &amp;dst_h, dst_size) &lt; 0) {
  
          fprintf(stderr,
  
              "Invalid size '%s', must be in the form WxH or a valid size abbreviation\n",
  
              dst_size);
  
          exit(1);
  
      }
  
      dst_file = fopen(dst_filename, "wb");
  
      if (!dst_file) {
  
          fprintf(stderr, "Could not open destination file %s\n", dst_filename);
  
          exit(1);
  
      }
  
      /* create scaling context */
  
      sws_ctx = sws_getContext(src_w, src_h, src_pix_fmt,
  
          dst_w, dst_h, dst_pix_fmt,
  
          SWS_BILINEAR, NULL, NULL, NULL);
  
      if (!sws_ctx) {
  
          fprintf(stderr,
  
              "Impossible to create scale context for the conversion "
  
              "fmt:%s s:%dx%d -> fmt:%s s:%dx%d\n",
  
              av_get_pix_fmt_name(src_pix_fmt), src_w, src_h,
  
              av_get_pix_fmt_name(dst_pix_fmt), dst_w, dst_h);
  
          ret = AVERROR(EINVAL);
  
          exit(1);
  
      }
  
      io_service srv;   // Boost.Asio class
  
      auto work = make_shared(srv); 
  
      thread t{ bind(&amp;io_service::run,&amp;srv) }; // I/O worker thread
  
      vector> result;
  
      /* utilize function class so that lambda can capture itself */
  
      function)> recursion;  
  
      recursion = [&amp;](int left, unique_future<bool> writable)   
  
      {
  
          if (left &lt;= 0)
  
          {
  
              writable.wait();
  
              return;
  
          }
  
          uint8_t *src_data[4], *dst_data[4];
  
          int src_linesize[4], dst_linesize[4];
  
          /* promise-future pair used for thread synchronizing so that the file part is written in the correct sequence  */
  
          promise<bool> sync; 
  
          /* allocate source and destination image buffers */
  
          if ((ret = av_image_alloc(src_data, src_linesize,
  
              src_w, src_h, src_pix_fmt, 16)) &lt; 0) {
  
              fprintf(stderr, "Could not allocate source image\n");
  
          }
  
          /* buffer is going to be written to rawvideo file, no alignment */
  
          if ((ret = av_image_alloc(dst_data, dst_linesize,
  
              dst_w, dst_h, dst_pix_fmt, 1)) &lt; 0) {
  
              fprintf(stderr, "Could not allocate destination image\n");
  
          }
  
          dst_bufsize = ret;
  
          fread(src_data[0], src_h*src_w, 1, pIn);
  
          fread(src_data[1], src_h*src_w / 4, 1, pIn);
  
          fread(src_data[2], src_h*src_w / 4, 1, pIn);
  
          result.push_back(async([&amp;] {
  
              /* convert to destination format */
  
              sws_scale(sws_ctx, (const uint8_t * const*)src_data,
  
                  src_linesize, 0, src_h, dst_data, dst_linesize);
  
              if (left>0)
  
              {
  
                  assert(writable.get() == true);
  
                  srv.post([=]
  
                  {
  
                      /* write scaled image to file */
  
                      fwrite(dst_data[0], 1, dst_bufsize, dst_file);
  
                      av_freep((void*)&amp;dst_data[0]);
  
                  });
  
              }
  
              sync.set_value(true);
  
              av_freep(&amp;src_data[0]);
  
          }));
  
          recursion(left - 1, sync.get_future());
  
      };
  
  
  
      promise<bool> root;
  
      root.set_value(true);
  
      recursion(300, root.get_future());  // .yuv file only has 300 frames
  
      wait_for_all(result.begin(), result.end()); // wait for all unique_future to callback
  
      work.reset();    // io_service::work releses
  
      srv.stop();      // io_service stops
  
      t.join();        // I/O thread joins
  
      period = steady_clock::now() - time_mark;  // calculate valid time
  
      fprintf(stderr, "Scaling succeeded. Play the output file with the command:\n"
  
          "ffplay -f rawvideo -pix_fmt %s -video_size %dx%d %s\n",
  
          av_get_pix_fmt_name(dst_pix_fmt), dst_w, dst_h, dst_filename);
  
      cout &lt;&lt; "period" &lt;&lt; et &lt;&lt; period &lt;&lt; en;
  
  end:
  
      fclose(dst_file);
  
      //  av_freep(&amp;src_data[0]);
  
      //  av_freep(&amp;dst_data[0]);
  
      sws_freeContext(sws_ctx);
  
      return ret &lt; 0;
  
  }
  
  </bool></bool></bool></double>