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• Matomo’s privacy-friendly web analytics software named best of the year 2022

  25 janvier 2023, par Erin

  W3Tech names Matomo ‘Traffic Analysis Tool of the Year 2022’ in its Web Technologies of the Year list of technologies that gained the most sites

  Matomo, a world-leading open-source web analytics platform, is proud to announce that it has received W3Tech’s award for the best web analytics software in its Web Technologies of the Year 2022. Matomo is the first independent, open-source tool named Traffic Analysis Tool of the Year – with previous winners including Google Analytics and Facebook Pixel.


  W3Tech, a trusted source for web technology research, determines winners for its annual Web Technologies of the Year list by technologies that gained the most websites. W3Tech surveys usage across millions of websites globally – comparing the number of sites using a technology on January 1st of one year with the number of sites using it the following year.

  W3Tech commenting on the Traffic Analysis Tool winners, said : “Matomo, the privacy-focused open source analytics platform, is the traffic analysis tool of the year for the first time, while Google Analytics and the other previous winners all lost a bit of market share in 2022. The Chinese Baidu Analytics ranks second this year. Snowplow, another open source tool, is an unexpected third.”


  Matomo launched in 2007 as an open-source analytics alternative to Google Analytics, keeps businesses GDPR and CCPA-compliant. Matomo is trusted by over 1.4 million websites in 220 countries and is translated into over 50 languages.


  Matomo founder Matthieu Aubry says, “As the first independent, open-source traffic analysis tool to receive this recognition, Matomo is humbled and honoured to lead the charge for change. It’s a testament to the hard work of our community, and it’s a clear sign that consumers and organisations are looking for ethical alternatives.


  “This recognition is a major win for the entire privacy movement and proves that the tide is turning against the big tech players who I believe have long prioritised profits over privacy. We are committed to continuing our work towards a more private and secure digital landscape for all.”


  In W3Tech’s Web Technologies of the Year 2022, Matomo was also judged third Tag Manager, behind Google Tag Manager and Adobe DTM.


  Matomo helps businesses and organisations track and optimise their online presence allowing users to easily collect, analyse, and act on their website and marketing data to gain a deeper understanding of their visitors and drive conversions and revenue. With 100% data ownership, customers using the company’s tools get the power to protect their website user’s privacy – and where their data is stored and what’s happening to it, without external influence. Furthermore, as the data is not sampled, it maintains data accuracy. 


  Aubry says its recent award is a positive reminder of how well this solution is performing internationally and is a testament to the exceptional quality and performance of Matomo’s powerful web analytics tools that respect a user’s privacy.


  “In 2020, the CJEU ruled US cloud servers don’t comply with GDPR. Then in 2022, the Austrian Data Protection Authority and French Data Protection Authority (CNIL) ruled that the use of Google Analytics is illegal due to data transfers to the US. With Matomo Cloud, the customer’s data is stored in Europe, and no data is transferred to the US. On the other hand, with Matomo On-Premise, the data is stored in your country of choice.


  “Matomo has also become one of the most popular open-source alternatives to Google Analytics for website owners and marketing teams because it empowers web professionals to make business decisions. Website investment, collateral, and arrangement are enriched by having the full picture and control of the data.”

  

  About Matomo

  Matomo is a world-leading open-source web analytics platform, trusted by over 1.4 million websites in 220 countries and translated into over 50 languages. Matomo helps businesses and organisations track and optimise their online presence allowing users to easily collect, analyse, and act on their website and marketing data to gain a deeper understanding of their visitors and drive conversions and revenue. Matomo’s vision is to create, as a community, the leading open digital analytics platform that gives every user complete control of their data.

  For more information/ press enquiries Press – Matomo

• Makefile for c++ program cannot be compiled properly

  20 mars 2017, par Wei

  I am quite new to c++ Makefile. Recently, I am trying to re-implement the dense trajectory algorithm introduced by this paper : https://lear.inrialpes.fr/people/wang/dense_trajectories

  However, I was struggling with Makefile that they provided for quite a while. The Makefile is as follows :

  # set the binaries that have to be built
  
  TARGETS := DenseTrack Video
  
  
  
  # set the build configuration set 
  
  BUILD := release
  
  #BUILD := debug
  
  
  
  # set bin and build dirs
  
  BUILDDIR := .build_$(BUILD)
  
  BINDIR := $(BUILD)
  
  
  
  # libraries 
  
  LDLIBS = $(addprefix -l, $(LIBS) $(LIBS_$(notdir $*)))
  
  LIBS := \
  
      opencv_core opencv_highgui opencv_video opencv_imgproc \
  
      avformat avdevice avutil avcodec swscale
  
  
  
  # set some flags and compiler/linker specific commands
  
  CXXFLAGS = -pipe -D __STDC_CONSTANT_MACROS -D STD=std -Wall $(CXXFLAGS_$(BUILD)) -I. -I/usr/local/include -I/home/wei/ffmpeg_build/include
  
  CXXFLAGS_debug := -ggdb
  
  CXXFLAGS_release := -O3 -DNDEBUG -ggdb
  
  LDFLAGS = -L/usr/local/lib -L/home/wei/ffmpeg_build/lib -pipe -Wall $(LDFLAGS_$(BUILD))
  
  LDFLAGS_debug := -ggdb
  
  LDFLAGS_release := -O3 -ggdb
  
  
  
  include make/generic.mk

  I can verify that my opencv2.4.2 and ffmpeg5.4.0 are successfully installed in Ubuntu 16.04, by running an example using those two libraries.

  For opencv :
  The lib path is : /usr/local/lib

  libavcodec.a                   libopencv_gpu.so.2.4   
  
      libopencv_photo.so.2.4
  
  libavdevice.a                  libopencv_gpu.so.2.4.2        libopencv_photo.so.2.4.2
  
  libavfilter.a                  libopencv_highgui.so          libopencv_stitching.so
  
  libavformat.a                  libopencv_highgui.so.2.4      libopencv_stitching.so.2.4
  
  libavutil.a                    libopencv_highgui.so.2.4.2    libopencv_stitching.so.2.4.2
  
  libopencv_calib3d.so           libopencv_imgproc.so          libopencv_ts.so
  
  libopencv_calib3d.so.2.4       libopencv_imgproc.so.2.4      libopencv_ts.so.2.4
  
  libopencv_calib3d.so.2.4.2     libopencv_imgproc.so.2.4.2    libopencv_ts.so.2.4.2
  
  libopencv_contrib.so           libopencv_legacy.so           libopencv_video.so
  
  libopencv_contrib.so.2.4       libopencv_legacy.so.2.4       libopencv_video.so.2.4
  
  libopencv_contrib.so.2.4.2     libopencv_legacy.so.2.4.2     libopencv_video.so.2.4.2
  
  libopencv_core.so              libopencv_ml.so               libopencv_videostab.so
  
  libopencv_core.so.2.4          libopencv_ml.so.2.4           libopencv_videostab.so.2.4
  
  libopencv_core.so.2.4.2        libopencv_ml.so.2.4.2         libopencv_videostab.so.2.4.2
  
  libopencv_features2d.so        libopencv_nonfree.so          libpostproc.a
  
  libopencv_features2d.so.2.4    libopencv_nonfree.so.2.4      libswresample.a
  
  libopencv_features2d.so.2.4.2  libopencv_nonfree.so.2.4.2    libswscale.a
  
  libopencv_flann.so             libopencv_objdetect.so        pkgconfig
  
  libopencv_flann.so.2.4         libopencv_objdetect.so.2.4    python2.7
  
  libopencv_flann.so.2.4.2       libopencv_objdetect.so.2.4.2  python3.5
  
  libopencv_gpu.so               libopencv_photo.so

  The include path is : usr/local/include :

  libavcodec   libavfilter  libavutil    libswresample  opencv
  
  libavdevice  libavformat  libpostproc  libswscale     opencv2

  For ffmpeg :
  The lib path is : /home/user/ffmpeg_build/lib

  libavcodec.a   libavfilter.a  libavutil.a   libfdk-aac.la  libswresample.a  libx265.a
  
  libavdevice.a  libavformat.a  libfdk-aac.a  libpostproc.a  libswscale.a     pkgconfig

  The include path is : /home/user/ffmpeg/include

  fdk-aac     libavdevice  libavformat  libpostproc    libswscale     x265.h
  
  libavcodec  libavfilter  libavutil    libswresample  x265_config.h

  So when I make it with Makefile, I did not get error but it seems linking is working properly, nor is the compiled output.

  I tried to directly compile with g++ command.

  sudo g++ -o Video -pipe -D __STDC_CONSTANT_MACROS -D STD=std -Wall -I. -I/usr/local/include -O3 -DNDEBUG -ggdb -L/usr/local/lib -lopencv_core -lopencv_highgui -lopencv_video -lopencv_imgproc -lavformat -lavdevice -lavutil -lavcodec -lswscale *.h Video.cpp

  However,it returns errors as :

  /tmp/ccjYmwI4.o: In function `main':
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:33: undefined reference to `cvCreateFileCapture'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:48: undefined reference to `cvQueryFrame'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:57: undefined reference to `cvCopy'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:60: undefined reference to `cvShowImage'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:61: undefined reference to `cvWaitKey'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:53: undefined reference to `cvCreateImage'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:70: undefined reference to `cvDestroyWindow'
  
  /home/wei/Documents/dt/dense_trajectory_release_v1.2/Video.cpp:41: undefined reference to `cvNamedWindow'
  
  collect2: error: ld returned 1 exit status

  I have been working on this issue for several days. Any help or suggestions would be really appreciated.

  Thanks

• FFMPEG for aws s3 bucket signed url not working in node js

  21 août 2018, par ahmed sharief

  I am trying to create thumbnails from an amazon s3 bucket signed url. I am able to generate thumbnails when i run the command in terminal

  ffmpeg -ss 00:00:02 -i "https://test-s3-bucket.s3.ap-south-1.amazonaws.com/user_gallery_assets/5b6936069ac2bf0602085367/gallery/images/5b7be08527641dee8c1f8134.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=xxxxxxxxx%2F20180821%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20180821T095101Z&X-Amz-Expires=900&X-Amz-Signature=d7f81f4eed3d6c87c04dc1b0ad06beeb946afa33d417585f57fad72aeadb3ac0&X-Amz-SignedHeaders=host" -vframes 1 -q:v 2 -f image2 output.jpg

  I am running the above command in terminal and its working fine but when i try to implement the same in node js its showing "no such file or directory error". Though i am encoding the url with double quotes then also its showign same error. Here is my node js code....

  function uploadThumbNailForVideo(obj,url, thumb_url){
  
      return new Promise((resolve, reject) => resolve(url))
  
      .then((url) => awsHelper.getImage(url))
  
      .then((result) => { 
  
  
  
          var resUrl = "\""+result+"\"";
  
  
  
          var args = [ 
  
              '-i', resUrl, 
  
              '-ss', '00:00:02', 
  
              '-vframes', '1', 
  
              '-f','image2', 
  
              'output.jpg'
  
          ]
  
          //console.log(args)
  
          var ffmpeg = require('child_process').spawn('ffmpeg', args);
  
  
  
          ffmpeg.on('error', function (err) {
  
              console.log(err);
  
          });
  
  
  
          ffmpeg.on('close', function (code) {
  
  
  
          });
  
  
  
          ffmpeg.stderr.on('data', function (data) {
  
              var tData = data.toString('utf8');
  
              var a = tData.split('\n');
  
              console.log("A",a); 
  
          });
  
  
  
          ffmpeg.stdout.on('data', function (data) {
  
              //
  
          });
  
  
  
  
  
      });

  }

  and i am getting the following error

  A [ 'ffmpeg version 4.0.2 Copyright (c) 2000-2018 the FFmpeg 
  
  developers' ]
  
  A [ '',
  
    '  built with Apple LLVM version 9.1.0 (clang-902.0.39.2)',
  
    '  configuration: --prefix=/usr/local/Cellar/ffmpeg/4.0.2 --enable- 
  
  shared --enable-pthreads --enable-version3 --enable-hardcoded-tables -- 
  
  enable-avresample --cc=clang --host-cflags= --host-ldflags= --enable- 
  
  gpl --enable-libmp3lame --enable-libx264 --enable-libxvid --enable- 
  
  opencl --enable-videotoolbox --disable-lzma',
  
     '  libavutil      56. 14.100 / 56. 14.100',
  
     '  libavcodec     58. 18.100 / 58. 18.100',
  
    '  libavformat    58. 12.100 / 58. 12.100',
  
    '  libavdevice    58.  3.100 / 58.  3.100',
  
    '  libavfilter     7. 16.100 /  7. 16.100',
  
    '  libavresample   4.  0.  0 /  4.  0.  0',
  
    '  libswscale      5.  1.100 /  5.  1.100',
  
    '  libswresample   3.  1.100 /  3.  1.100',
  
    '  libpostproc    55.  1.100 / 55.  1.100',
  
    '"https://test-s3-bucket.s3.ap-south-1.amazonaws.com/user_gallery_assets/5b6936069ac2bf0602085367/gallery/images/5b7be08527641dee8c1f8134.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=xxxxxxxxx%2F20180821%2Fap-south-1%2Fs3%2Faws4_request&X-Amz-Date=20180821T095101Z&X-Amz-Expires=900&X-Amz-Signature=d7f81f4eed3d6c87c04dc1b0ad06beeb946afa33d417585f57fad72aeadb3ac0&X-Amz-SignedHeaders=host": No such file or directory',
  
    '' ]
  
  
  
  ffmpeg exited with code 1