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• FFMPEG x264 (fourcc=0x21) codec is not working with OpenCV

  6 mars 2020, par dkac

  I’m trying to use mp4 format coding (fourcc=0x21) on OpenCV 3.2 without success. Probably I have a problem with my Ubuntu 18.04 setup but currently I’m running out of ideas how to fix it. First, I recompiled FFMPEG with x264 support. Than, recompiled OpenCV (with contrib and OPENCV_ENABLE_NONFREE=ON, WITH_FFMPEG=ON). It is still not working.

  I cannot use fourcc different than 0x21. I mean.. I cannot use another codec.

  Example :

  >>> import cv2
  
  >>> out = cv2.VideoWriter('output.mp4', 0x21, 20.0, (640,480))
  
  OpenCV: FFMPEG: tag 0x00000021/'!???' is not found (format 'mp4 / (null)')'

  However, this is working fine (other fourcc, codec) :

  >>> out = cv2.VideoWriter('output.mp4',0x31637661 , 20.0, (640,480))

  OpenCV compiled with FFMPEG support (version 3.2), cmake config :

  Video I/O:
  
  DC1394 1.x:                  NO
  
  DC1394 2.x:                  YES (ver 2.2.5)
  
  FFMPEG:                      YES
  
    avcodec:                   YES (ver 57.107.100)
  
    avformat:                  YES (ver 57.83.100)
  
    avutil:                    YES (ver 55.78.100)
  
    swscale:                   YES (ver 4.8.100)
  
    avresample:                YES (ver 3.7.0)

  FFMPEG build with x264 support :

  ffmpeg -version
  
  ffmpeg version N-96891-g60b1f85 Copyright (c) 2000-2020 the FFmpeg developers
  
  built with gcc 7 (Ubuntu 7.4.0-1ubuntu1~18.04.1)
  
  configuration: --prefix=/home/user/ffmpeg_build --pkg-config-flags=--static --extra-cflags=-I/home/user/ffmpeg_build/include --extra-ldflags=-L/home/user/ffmpeg_build/lib --extra-libs='-lpthread -lm' --bindir=/home/user/bin --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-nonfree
  
  libavutil      56. 42.100 / 56. 42.100
  
  libavcodec     58. 73.102 / 58. 73.102
  
  libavformat    58. 39.101 / 58. 39.101
  
  libavdevice    58.  9.103 / 58.  9.103
  
  libavfilter     7. 77.100 /  7. 77.100
  
  libswscale      5.  6.100 /  5.  6.100
  
  libswresample   3.  6.100 /  3.  6.100
  
  libpostproc    55.  6.100 / 55.  6.100

  FFMPEG x264 simple conversion test is working :

  ffmpeg -i in.mp4 -vcodec libx264 -f mp4 out.mp4y
  
  ffmpeg version N-96891-g60b1f85 Copyright (c) 2000-2020 the FFmpeg developers
  
  built with gcc 7 (Ubuntu 7.4.0-1ubuntu1~18.04.1)
  
  configuration: --prefix=/home/user/ffmpeg_build --pkg-config-flags=--static --extra-cflags=-I/home/user/ffmpeg_build/include --extra-ldflags=-L/home/user/ffmpeg_build/lib --extra-libs='-lpthread -lm' --bindir=/home/user/bin --enable-gpl --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-nonfree
  
  libavutil      56. 42.100 / 56. 42.100
  
  libavcodec     58. 73.102 / 58. 73.102
  
  libavformat    58. 39.101 / 58. 39.101
  
  libavdevice    58.  9.103 / 58.  9.103
  
  libavfilter     7. 77.100 /  7. 77.100
  
  libswscale      5.  6.100 /  5.  6.100
  
  libswresample   3.  6.100 /  3.  6.100
  
  libpostproc    55.  6.100 / 55.  6.100
  
  Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'in.mp4':
  
  Metadata:
  
     major_brand     : isom
  
     minor_version   : 512
  
     compatible_brands: isomiso2avc1mp41
  
     encoder         : Lavf57.83.100
  
  Duration: 00:00:10.00, start: 0.000000, bitrate: 3826 kb/s
  
   Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p, 1280x960, 3825 kb/s, 10 fps, 10 tbr, 10240 tbn, 20 tbc (default)
  
  Metadata:
  
    handler_name    : VideoHandler
  
  File 'out.mp4y' already exists. Overwrite? [y/N] y
  
  Stream mapping:
  
    Stream #0:0 -> #0:0 (h264 (native) -> h264 (libx264))

• Google Analytics 4 (GA4) vs Universal Analytics (UA)

  24 janvier 2022, par Erin — Analytics Tips

  March 2022 Update : It’s official ! Google announced that Universal Analytics will no longer process any new data as of 1 July 2023. Google is now pushing Universal Analytics users to switch to the latest version of GA – Google Analytics 4. 

  Currently, Google Analytics 4 is unable to accept historical data from Universal Analytics. Users need to take action before July 2022, to ensure they have 12 months of data built up before the sunset of Universal Analytics

  So how do Universal Analytics and Google Analytics 4 compare ? And what alternative options do you have ? Let’s dive in. 

  In this blog, we’ll cover :

  What is Google Analytics 4 ? 

  In October 2020, Google launched Google Analytics 4, a completely redesigned analytics platform. This follows on from the previous version known as Universal Analytics (or UA).

  Amongst its touted benefits, GA4 promises a completely new way to model data and even the ability to predict future revenue. 

  However, the reception of GA4 has been largely negative. In fact, some users from the digital marketing community have said that GA4 is awful, unusable and so bad it can bring you to tears.

  

  

  Google Analytics 4 vs Universal Analytics

  There are some pretty big differences between Google Analytics 4 and Universal Analytics but for this blog, we’ll cover the top three.

  1. Redesigned user interface (UI)

  GA4 features a completely redesigned UI to Universal Analytics’ popular interface. This dramatic change has left many users in confusion and fuelled some users to declare that “most of the time you are going round in circles to find what you’re looking for.”

  

  2. Event-based tracking

  Google Analytics 4 also brings with it a new data model which is purely event-based. This event-based model moves away from the typical “pageview” metric that underpins Universal Analytics.

  3. Machine learning insights

  Google Analytics 4 promises to “predict the future behavior of your users” with their machine-learning-powered predictive metrics. This feature can “use shared aggregated and anonymous data to improve model quality”. Sounds powerful, right ?

  Unfortunately, it only works if at least 1,000 returning users triggered the relevant predictive condition over a seven-day period. Also, if the model isn’t sustained over a “period of time” then it won’t work. And according to Google, if “the model quality for your property falls below the minimum threshold, then Analytics will stop updating the corresponding predictions”.

  This means GA4’s machine learning insights probably won’t work for the majority of analytics users.

  Ultimately, GA4 is just not ready to replace Google’s Universal Analytics for most users. There are too many missing features.

  What’s missing in Google Analytics 4 ?

  Quite a lot. Even though it offers a completely new approach to analytics, there are a lot of key features and functions missing in GA4.

  Behavior Flow

  The Behavior Flow report in Universal Analytics helps to visualise the path users take from one page or Event to the next. It’s extremely useful when you’re looking for quick and clear insight. But it no longer exists in Google Analytics 4, and instead, two new overcomplicated reports have been introduced to replace it – funnel exploration report and path exploration report.

  The decision to remove this critical report will leave many users feeling disappointed and frustrated. 

  Limitations on custom dimensions

  You can create custom dimensions in Google Analytics 4 to capture advanced information. For example, if a user reads a blog post you can supplement that data with custom dimensions like author name or blog post length. But, you can only use up to 50, and for some that will make functionality like this almost pointless.

  Machine learning (ML) limitations

  Google Analytics 4 promises powerful ML insights to predict the likelihood of users converting based on their behaviors. The problem ? You need 1,000 returning users in one week. For most small-medium businesses this just isn’t possible.

  And if you do get this level of traffic in a week, there’s another hurdle. According to Google, if “the model quality for your property falls below the minimum threshold, then GA will stop updating the corresponding predictions.” To add insult to injury Google suggests that this might make all ML insights unavailable. But they can’t say for certain… 

  Views

  One cornerstone of Universal Analytics is the ability to configure views. Views allow you to set certain analytics environments for testing or cleaning up data by filtering out internal traffic, for example. 

  Views are great for quickly and easily filtering data. Preset views that contain just the information you want to see are the ideal analytics setup for smaller businesses, casual users, and do-it-yourself marketing departments.

  

  There are a few workarounds but they’re “messy [,] annoying and clunky,” says a disenfranchised Redditor.

  Another helpful Reddit user stumbled upon an unhelpful statement from Google. Google says that they “do not offer [the views] feature in Google Analytics 4 but are planning similar functionality in the future.” There’s no specific date yet though.

  Bounce rate

  Those that rely on bounce rate to understand their site’s performance will be disappointed to find out that bounce rate is also not available in GA4. Instead, Google is pushing a new metric known as “Engagement Rate”. With this metric, Google now uses their own formula to establish if a visitor is engaged with a site.

  Lack of integration

  Currently, GA4 isn’t ready to integrate with many core digital marketing tools and doesn’t accept non-Google data imports. This makes it difficult for users to analyse ROI and ROAS for campaigns measured in other tools. 

  Content Grouping

  Yet another key feature that Google has done away with is Content Grouping. However, as with some of the other missing features in GA4, there is a workaround, but it’s not simple for casual users to implement. In order to keep using Content Grouping, you’ll need to create event-scoped custom dimensions.

  Annotations 

  A key feature of Universal Analytics is the ability to add custom Annotations in views. Annotations are useful for marking dates that site changes were made for analysis in the future. However, Google has removed the Annotations feature and offered no alternative or workaround.

  Historical data imports are not available

  The new approach to data modelling in GA4 adds new functionality that UA can’t match. However, it also means that you can’t import historical UA data into GA4. 

  Google’s suggestion for this one ? Keep running UA with GA4 and duplicate events for your GA4 property. Now you will have two different implementations running alongside each other and doing slightly different things. Which doesn’t sound like a particularly streamlined solution, and adds another level of complexity.

  Should you switch to Google Analytics 4 ?

  So the burning question is, should you switch from Universal Analytics to Google Analytics 4 ? It really depends on whether you have the available resources and if you believe this tool is still right for your organisation. At the time of writing, GA4 is not ready for day-to-day use in most organisations.

  If you’re a casual user or someone looking for quick, clear insights then you will likely struggle with the switch to GA4. It appears that the new Google Analytics 4 has been designed for enterprise-scale businesses with large internal teams of analysts.

  

  Unfortunately, for most casual users, business owners and do-it-yourself marketers there are complex workarounds and time-consuming implementations to handle. Ultimately, it’s up to you to decide if the effort to migrate and relearn GA is worth it.

  Right now is the best time to draw the line and make a decision to either switch to GA4 or look for a better alternative to Google Analytics.

  Google Analytics alternative

  Matomo is one of the best Google Analytics alternatives offering an easy to use design with enhanced insights on our Cloud, On-Premise and on Matomo for WordPress solutions. 

  

  Matomo is an open-source analytics solution that provides a comprehensive, user-friendly and compliance-focused alternative to both Google Analytics 4 and Universal Analytics.

  The key benefits of using Matomo include :

  • Easy to use – Matomo provides a simpler interface and understandable KPIs. See for yourself with our live demo. 
  • Compliance – Future-proof your tech stack for looming privacy regulations. Matomo covers all of your ePrivacy, GDPR, HIPAA, CCPA, and PECR data compliance requirements. 
  • Data privacy and ownership – Your analytics data is 100% yours to own, with no external parties looking in.
  • Flexible, all-in-one solution – Get features like A/B Testing, Heatmaps, Session Recordings, SEO Web Vitals, Tag Manager, Media Analytics, Search Engine Keyword Performance, custom reports and much more. 
  • Integrations galore – Expand your Matomo capabilities by adding integrations from over 100 leading technologies.

  Plus, unlike GA4, Matomo will accept your historical data from UA so you don’t have to start all over again. Check out our 7 step guide to migrating from Google Analytics to find out how.

  Getting started with Matomo is easy. Check out our live demo and start your free 21-day trial. No credit card required.

  In addition to the limitations and complexities of GA4, there are many other significant drawbacks to using Google Analytics.

  Google’s data ethics are a growing concern of many and it is often discussed in the mainstream media. In addition, GA is not GDPR compliant by default and has resulted in 200k+ data protection cases against websites using GA.

  What’s more, the data that Google Analytics actually provides its end-users is extrapolated from samples. GA’s data sampling model means that once you’ve collected a certain amount of data Google Analytics will make educated guesses rather than use up its server space collecting your actual data. 

  The reasons to switch from Google Analytics are rising each day. 

  Wrap up

  The now required update to GA4 will add new layers of complexity, which will leave many casual web analytics users and marketers wondering if there’s a better way. Luckily there is. Get clear insights quickly and easily with Matomo – start your 21-day free trial now.

• France rules Google Analytics non-compliant with GDPR

  11 février 2022, par Erin — Privacy

  Breaking news : The French Data Protection Agency, CNIL (Commission nationale de l’informatique et des libertés), has concluded that the use of Google Analytics is illegal under GDPR. The CNIL has begun issuing formal notices to website managers using Google Analytics.

  This follows the January 2022 Austrian Data Protection Authority’s decision to declare Google Analytics illegal to use under GDPR.

  Google Analytics GDPR breaches continue to spread through the EU

  Since the invalidation of the Privacy Shield framework, an agreement between the EU and US that allowed the transfer of data to certified US companies, the CNIL and other EU data protection authorities have received numerous complaints regarding data transfers collected during visits to websites using Google Analytics.

  "It’s interesting to see that the different European Data Protection Authorities all come to the same conclusion : the use of Google Analytics is illegal. There is a European task force and we assume that this action is coordinated and other authorities will decide similarly."

  About the CNIL’s decision

  In this model case, the CNIL has found that an unnamed website’s use of Google Analytics is non-compliant with GDPR because it had breached Article 44 which prohibits the transfer of personal data beyond the EU, unless the recipient country can prove adequate data protection. 

  Under the GDPR, personal data covers a range of identifiers including email address, race, gender, phone number to name a few, but the less obvious identifiers include IP addresses or cookie IDs, for instance. 

  The CNIL’s decision was based on the fact that the US does not meet GDPR sufficient levels of data protection as a result of US surveillance laws. Therefore, the unnamed website’s use of Google Analytics created risks for their website visitors when their personal data was exported to the US. 

  At the time of writing, it is unknown if the CNIL has issued a fine for the GDPR breach. However, the website manager of the unnamed website has been ordered by the CNIL to comply with the GDPR and, if necessary, stop using Google Analytics under the current conditions.

  "One thing we’re certain of is that these decisions will continue to roll out throughout the EU and potentially beyond.

  Other countries are imposing their own privacy regulations that closely mirror the GDPR like Brazil’s General Data Protection Law (LGPD), India’s Data Protection Bill, New Zealand’s Privacy Act and Canada’s Personal Information Protection and Electronic Documents Act (PIPEDA) to name a few.”

  The CNIL offers an evaluation programme to help website managers determine whether web analytics solutions are exempt from collecting data prior to users’ agreement to opt-in through consent screens. Matomo, for instance, is a leading Google Analytics alternative that has been recommended by CNIL and is exempt from tracking consent. 

  

  English translation : “This is why I anticipated this announcement, gradually moving the analytics of my sites to @matomo_org since several weeks !

  “The @CNIL believes that the use of @googleanalytics is a violation of #GDPR”

  Immediate action required for Google Analytics users

  The CNIL and other EU-based data protection authorities have made their stance on Google Analytics clear and inaction will likely result in fines, which under the GDPR, can be up to €20 million or 4% of the organisation’s global turnover – whichever is higher.

  Based on the CNIL’s formal notice to the model case’s website manager, Google Analytics users should take immediate action to remove any chances of personal data being transferred to the US or find a Google Analytics alternative that is GDPR compliant. 

  

  English translation : “The CNIL considers that the use of Google Analytics is a violation of the GDPR. I use @matomo_org and I welcome it *winking face* It will squeal tires among growthackers who are slaughtering. Opportunity to look at alternative tools”

  Ready to begin your journey to GDPR compliance with Matomo ? Start your 21-day free trial now (no credit card required) and take advantage of our Google Analytics importer so you don’t lose any of your historical data. 

  Try 21-day free Cloud trial

  What does this mean for Matomo users ?

  As the GDPR continues to evolve, our users can rest assured that Matomo will be at the forefront of these changes. With Matomo Cloud, all data is stored in the EU or in your country of choice when you self-host on your own servers with Matomo On-Premise.

  Conclusion

  Google is in the EU’s crosshairs and organisations that continue to use their tools will be the one’s left to clean up the mess – not Google. Now is the time to act. Search for a Google Analytics alternative and close your compliance gaps today. 

  Join over 1 million other websites using Matomo now. Give Matomo a try with a 21-day free trial – no credit card required. 

  Try 21-day free Cloud trial

  We’d like to also bring attention to the privacy-fighting efforts from noyb and Max Schrems, as this should not go unnoticed. noyb is an independent, non-profit organisation that relies on the support of individuals. Support privacy by supporting noyb – donate or become a member now. 

  Contact details for media :

  For quotes or interviews, please email marketing@matomo.org