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• 9 Ways to Customise Your Matomo Like a Pro

  5 octobre 2022, par Erin

  Matomo is a feature-rich web analytics platform. As such, it has many layers of depth — core features, extra plug-ins, custom dimensions, reports, extensions and integrations. 

  Most of the product elements you see can be personalised and customised to your needs with minimal restrictions. However, this breadth of choice can be overlooked by new users. 

  In this post, we explain how to get the most out of Matomo with custom reports, dashboards, dimensions and even app design. 

  How to customise your Matomo web analytics

  To make major changes to Matomo (e.g., create custom dashboards or install new plugins), you’ll have to be a Matomo Super User (a.k.a. The Admin). Super Users can also grant administrator permissions to others so that more people could customise your Matomo deployment. 

  Most feature-related customisations (e.g. configuring a custom report, adding custom goal tracking, etc.) can be done by all users. 

  With the above in mind, here’s how you can tweak Matomo to better serve your website analytics needs : 

  1. Custom dashboards

  

  Dashboards provide a panorama view of all the collected website statistics. We display different categories of stats and KPIs as separate widgets — a standalone module you can also customise. 

  On your dashboard, you can change the type, position and number of widgets on display. This is an easy way to create separate dashboard views for different projects, clients or team members. Rather than a one-size-fits-all dashboard, a custom dashboard designed for a specific role or business unit will increase data-driven decision-making and efficiency across the business.

  You can create a new dashboard view in a few clicks. Then select a preferred layout — a split-page view or multi columns. Next, populate the new dashboard area with preferred widgets showing :

  • SEO website rankings 
  • Visits, conversions and revenue 
  • Custom reports 

  Or code a custom widget area to pull specific website stats or other reporting data you need. Once you are done, arrange everything with our drag-and-drop functionality. 

  

  Popular feature use cases

  • Personalised website statistics layout for convenient viewing 
  • Simplified analytics dashboards for the line of business leaders/stakeholders 
  • Project- or client-specific dashboards for easy report sharing 

  Read more about customising Matomo dashboards and widget areas. 

  2. Custom reports

  

  As the name implies, Custom Reports widget allows you to mesh any of the dimensions and metrics collected by Matomo into a custom website traffic analysis. Custom reports save users time by providing specific data needed in one view so there is no need to jump back and forth between multiple reports or toggle through a report to find data.

  For each custom report, you can select up to three dimensions and then apply additional quantitative measurements (metrics) to drill down into the data.

  For example, if you want to closely observe mobile conversion rates in one market, you can create the following custom report :

  • Dimensions : User Type (registered), Device type (mobile), Location (France)
  • Metrics : Visits, Conversion Rate, Revenue, Avg. Generation Time.

  Custom Report widget is available within Matomo Cloud and as a plugin for Matomo On-Premise.

  &lt;script type=&quot;text/javascript&quot;&gt;<br />
       if ('function' === typeof window.playMatomoVideo){<br />
       window.playMatomoVideo(&quot;custom_reports&quot;, &quot;#custom_reports&quot;)<br />
       } else {<br />
       document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;custom_reports&quot;, &quot;#custom_reports&quot;); });<br />
       }<br />
  &lt;/script&gt;

  Popular feature use cases

  • Campaign-specific reporting to better understand the impact of different promo strategies 
  • Advanced event tracking for conversion optimization 
  • Market segmentation reports to analyse different audience cohorts 

  Read more about creating and analysing Custom Reports.

  3. Custom widgets

  

  We realise that our users have different degrees of analytics knowledge. Some love in-depth reporting dimensions and multi-row reporting tables. Others just want to see essential stats. 

  To delight both the pros and the novice users, we’ve created widgets — reporting sub-modules you can add, delete or rearrange in a few clicks. Essentially, a widget is a slice of a dashboard area you can populate with extra information. 

  You can add pre-made custom widgets to Matomo or develop your own widget to display custom reports or even external data (e.g., offline sales volume). At the same time, you can also embed Matomo widgets into other applications (e.g., a website CMS or corporate portal).

  Popular feature use cases

  • Display main goals (e.g., new trial sign-ups) on the main dashboard for greater visibility 
  • Highlight cost-per-conversion reporting by combining goals and conversion data to keep your budgets in check 
  • Run omnichannel eCommerce analytics (with embedded offline sales data) to get a 360-degree view into your operations 

  Read more about creating widgets in Matomo (beginner’s guide). 

  4. Custom dimensions 

  

  Dimensions describe the characteristics of reported data. Think of them as “filters” — a means to organise website analytics data by a certain parameter such as “Browser”, “Country”, “Device Type”, “User Type” and many more. 

  Custom Dimensions come in handy for all sorts of segmentation reports. For example, comparing conversion rates between registered and guest users. Or tracking revenue by device type and location. 

  For convenience, we’ve grouped Custom Dimensions in two categories :

  Visit dimensions. These associate metadata about a user with Visitor profiles — a summary of different knowledge you have about your audience. Reports for Visit scoped custom dimensions are available in the Visitors section of your dashboard. 

  Action dimensions. These segment users by specific actions tracked by Matomo such as pageviews, events completion, downloads, form clicks, etc. When configuring Custom Dimensions, you can select among pre-defined action types or code extra action dimensions. Action scoped custom dimensions are available in the Behaviours section of Matomo. 

  Depending on your Matomo version, you can apply 5 – 15 custom dimensions to reports. 

  Important : Since you can’t delete dimensions (only deactivate them), think about your use case first. Custom Dimensions each have their own dedicated reports page on your Matomo dashboard. 

  Popular custom dimension use cases among users :

  • Segmenting reports by users’ screen resolution size to understand how your website performs on different devices
  • Monitor conversion rates for different page types to determine your best-performing assets 

  Read more about creating, tracking and managing Custom Dimensions. 

  5. Custom scheduled reports

  Manually sending reports can be time consuming, especially if you have multiple clients or provide reports to numerous stakeholders. Custom scheduled reports remove this manual process to improve efficiency and ensure timely distribution of data to relevant users.

  Any report in Matomo (default or custom) can be shared with others by email as a PDF file, HTML content or as an attached CSV document. 

  You can customise which data you want to send to different people — your colleagues, upper management, clients or other company divisions. Then set up the frequency of email dispatches and Matomo will do the rest. 

  Auto-scheduling an email report is easy. Name your report, select a Segment (aka custom or standard report), pick time, file format and sender. 

  

  You can also share links to Matomo reports as text messages, if you are using ASPSMS or Clockwork SMS. 

  Popular feature use cases

  • Convenient stakeholder reporting on key website KPIs 
  • Automated client updates to keep clients informed and reduce workload 
  • Easy data downloads for doing custom analysis with business intelligence tools 

  Read more about email reporting features in Matomo. 

  6. Custom alerts

  

  Custom Alerts is a Matomo plugin for keeping you updated on the most important analytics events. Unlike Custom Reports, which provide a complete or segmented analytics snapshot, alerts are better suited for tracking individual events. For example, significant traffic increases from a specific channel, new 404 pages or major goal achievement (e.g., hitting 1,000 sales in a week). 

  Custom Alerts are a convenient way to keep your finger on the pulse of your site so you can quickly remedy an issue or get updated on reaching a crucial KPI promptly. You can receive custom alerts via email or text message in a matter of minutes.

  To avoid flooding your inbox with alerts, we recommend reserving Custom Alerts for a select few use cases (3 to 5) and schedule custom Email Reports to receive general web page analytics. 

  Popular custom alerts use cases among users :

  • Monitor sudden drops in revenue to investigate the cause behind them and solve any issues promptly 
  • Get notified of traffic spikes or sudden dips to better manage your website’s technical performance 

  Read more about creating and managing Custom Alerts. 

  7. Goals

  

  Goals feature helps you better understand how your website performs on certain business objectives such as lead generation, online sales or content discovery. A goal is a quantifiable action you want to measure (e.g., a specific page visit, form submission or a file download). 

  When combined together, Goals make up your sales funnel — a series of specific actions you expect users to complete in order to convert. 

  Goals-setting and Funnel Analytics are a powerful, customisable combo for understanding how people navigate your website ; what makes them take action or, on the contrary, lose interest and bounce off. 

  On Matomo, you can simultaneously track multiple goals, monitor multiple conversions per one visit (e.g., when one user requests two content downloads) and assign revenue targets to specific goals.

  &lt;script type=&quot;text/javascript&quot;&gt;<br />
       if ('function' === typeof window.playMatomoVideo){<br />
       window.playMatomoVideo(&quot;goals&quot;, &quot;#goals&quot;)<br />
       } else {<br />
       document.addEventListener(&quot;DOMContentLoaded&quot;, function() { window.playMatomoVideo(&quot;goals&quot;, &quot;#goals&quot;); });<br />
       }<br />
  &lt;/script&gt;

  Separately, Matomo Cloud users also get access to a premium Funnels feature and Multi Channel Conversion Attribution. On-Premises Matomo users can get both as paid plugins via our Marketplace.

  Popular goal tracking use cases among users :

  • Tracking newsletter subscription to maximise subscriber growth 
  • Conversion tracking for gated content (e.g., eBooks) to understand how each asset performs 
  • Analysing the volume of job applications per post to better interpret your HR marketing performance 

  Read more about creating and managing Goals in Matomo.

  8. Themes

  

  Want to give your Matomo app a distinctive visual flair ? Pick a new free theme for your On-Premises installation. Minimalistic, dark or classic — our community created six different looks that other Matomo users can download and install in a few clicks. 

  If you have some HTML/CSS/JS knowledge, you can also design your own Matomo theme. Since Matomo is an open-source project, we don’t restrict interface customisation and always welcome creativity from our users.

  Read more about designing your own Matomo theme (developer documentation).

  9. White labelling

  

  Matomo is one of the few website analytics tools to support white labelling. White labelling means that you can distribute our product to others under your brand. 

  For example, as a web design agency, you can delight customers with pre-installed GDPR-friendly website analytics. Marketing services providers, in turn, can present their clients with embedded reporting widgets, robust funnel analytics and 100% unsampled data. 

  Apart from selecting a custom theme, you can also align Matomo with your brand by :

  • Customising product name
  • Using custom header/font colours 
  • Change your tracking endpoint
  • Remove links to Matomo.org

  To streamline Matomo customisation and set-up, we developed a White Label plug-in. It provides a convenient set of controls for changing your Matomo deployment and distributing access rights to other users or sharing embedded Matomo widgets). 

  Read more about white labelling Matomo. 

  Learning more about Matomo 

  Matomo has an ever-growing list of features, ranging from standard website tracking controls to unique conversion rate optimisation tools (heatmaps, media analytics, user cohorts and more).

  To learn more about Matomo features you can check our free video web analytics training series where we cover the basics. For feature-specific tips, tricks and configurations, browse our video content or written guides. 

  21 day free trial. No credit card required.

• How to extract frame from mpeg-ts segments using ffmpeg

  30 juillet 2022, par xrfang

  I use ffmpeg to convert video into MPEG-TS segments for HLS. How can I then extract image from these MPEG-TS files for use as static "cover page". I would like to either extract the first or the last frame as JPEG image from the TS file.

  


• Decode MP4 h264 RTP Video Stream C++

  26 juin 2022, par laurrrr

  I want to send a mp4 video which is h264 encoded to another C++ Application and get raw video data.

  


  I'm sending rtp packets using ffmpeg using following command :

  


  ffmpeg -re -i video.mp4  -pix_fmt rgb24  -vcodec libx264 -b:v 10506k -bufsize 64000k -r 30.0 -f mp4 -f rtp rtp://192.168.1.101:4500?pkt_size=1316 


  


  and this is ffmpeg output after video has been played :

  


  Output #0, rtp, to 'rtp://192.168.1.101:4500?pkt_size=1316':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf58.29.100
    Stream #0:0(und): Video: h264 (libx264), yuv444p, 1280x720, q=-1--1, 10506 kb/s, 30 fps, 90k tbn, 30 tbc (default)
    Metadata:
      handler_name    : VideoHandler
      encoder         : Lavc58.54.100 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/10506000 buffer size: 64000000 vbv_delay: -1
SDP:
v=0
o=- 0 0 IN IP4 127.0.0.1
s=No Name
c=IN IP4 192.168.1.101
t=0 0
a=tool:libavformat 58.29.100
m=video 4500 RTP/AVP 96
b=AS:10506
a=rtpmap:96 H264/90000
a=fmtp:96 packetization-mode=1

frame= 1802 fps= 24 q=-1.0 Lsize=   78043kB time=00:00:59.96 bitrate=10661.4kbits/s speed=0.793x     
video:77209kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.080008%
[libx264 @ 0x55c75bcc0f00] frame I:8     Avg QP:20.85  size:175353
[libx264 @ 0x55c75bcc0f00] frame P:654   Avg QP:24.51  size: 68884
[libx264 @ 0x55c75bcc0f00] frame B:1140  Avg QP:30.52  size: 28604
[libx264 @ 0x55c75bcc0f00] consecutive B-frames: 12.9%  6.1%  6.7% 74.4%
[libx264 @ 0x55c75bcc0f00] mb I  I16..4: 20.2%  0.0% 79.8%
[libx264 @ 0x55c75bcc0f00] mb P  I16..4:  8.5%  0.0% 16.2%  P16..4: 31.2% 22.3% 11.2%  0.0%  0.0%    skip:10.7%
[libx264 @ 0x55c75bcc0f00] mb B  I16..4:  2.3%  0.0%  3.6%  B16..8: 42.1% 21.3%  6.3%  direct: 5.8%  skip:18.5%  L0:53.9% L1:27.7% BI:18.4%
[libx264 @ 0x55c75bcc0f00] coded y,u,v intra: 63.6% 18.5% 5.0% inter: 36.9% 3.5% 1.3%
[libx264 @ 0x55c75bcc0f00] i16 v,h,dc,p: 23% 30% 25% 22%
[libx264 @ 0x55c75bcc0f00] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 19% 23% 23%  6%  6%  5%  7%  4%  7%
[libx264 @ 0x55c75bcc0f00] Weighted P-Frames: Y:26.3% UV:10.4%
[libx264 @ 0x55c75bcc0f00] ref P L0: 67.4% 18.1% 10.9%  2.9%  0.7%
[libx264 @ 0x55c75bcc0f00] ref B L0: 97.4%  2.1%  0.5%
[libx264 @ 0x55c75bcc0f00] ref B L1: 98.8%  1.2%
[libx264 @ 0x55c75bcc0f00] kb/s:10529.89


  


  On my C++ Application I'm using a 3rd party rtp library for capturing rtp frames and this is what I get during video stream :

  


  TS = 4178129015 | RTP Payload = 96 | SeqNr = 618 | Len = 25
Payload Data : 
67 f4 0 20 91 9b 28 a 0 b7 42 0 0 3 0 2 0 0 3 0 
78 1e 30 63 2c 
TS = 4178129015 | RTP Payload = 96 | SeqNr = 618 | Len = 5
Payload Data : 
68 eb ec 44 80 
TS = 4178129015 | RTP Payload = 96 | SeqNr = 618 | Len = 760
Payload Data : 
6 5 ff ff f4 dc 45 e9 bd e6 d9 48 b7 96 2c d8 20 d9 23 ee 
ef 78 32 36 34 20 2d 20 63 6f 72 65 20 31 35 35 20 72 32 39 
31 37 20 30 61 38 34 64 39 38 20 2d 20 48 2e 32 36 34 2f 4d 
50 45 47 2d 34 20 41 56 43 20 63 6f 64 65 63 20 2d 20 43 6f 
70 79 6c 65 66 74 20 32 30 30 33 2d 32 30 31 38 20 2d 20 68 
74 74 70 3a 2f 2f 77 77 77 2e 76 69 64 65 6f 6c 61 6e 2e 6f 
72 67 2f 78 32 36 34 2e 68 74 6d 6c 20 2d 20 6f 70 74 69 6f 
6e 73 3a 20 63 61 62 61 63 3d 31 20 72 65 66 3d 33 20 64 65 
62 6c 6f 63 6b 3d 31 3a 30 3a 30 20 61 6e 61 6c 79 73 65 3d 
30 78 31 3a 30 78 31 31 31 20 6d 65 3d 68 65 78 20 73 75 62 
6d 65 3d 37 20 70 73 79 3d 31 20 70 73 79 5f 72 64 3d 31 2e 
30 30 3a 30 2e 30 30 20 6d 69 78 65 64 5f 72 65 66 3d 31 20 
6d 65 5f 72 61 6e 67 65 3d 31 36 20 63 68 72 6f 6d 61 5f 6d 
65 3d 31 20 74 72 65 6c 6c 69 73 3d 31 20 38 78 38 64 63 74 
3d 30 20 63 71 6d 3d 30 20 64 65 61 64 7a 6f 6e 65 3d 32 31 
2c 31 31 20 66 61 73 74 5f 70 73 6b 69 70 3d 31 20 63 68 72 
6f 6d 61 5f 71 70 5f 6f 66 66 73 65 74 3d 34 20 74 68 72 65 
61 64 73 3d 36 20 6c 6f 6f 6b 61 68 65 61 64 5f 74 68 72 65 
61 64 73 3d 31 20 73 6c 69 63 65 64 5f 74 68 72 65 61 64 73 
3d 30 20 6e 72 3d 30 20 64 65 63 69 6d 61 74 65 3d 31 20 69 
6e 74 65 72 6c 61 63 65 64 3d 30 20 62 6c 75 72 61 79 5f 63 
6f 6d 70 61 74 3d 30 20 63 6f 6e 73 74 72 61 69 6e 65 64 5f 
69 6e 74 72 61 3d 30 20 62 66 72 61 6d 65 73 3d 33 20 62 5f 
70 79 72 61 6d 69 64 3d 32 20 62 5f 61 64 61 70 74 3d 31 20 
62 5f 62 69 61 73 3d 30 20 64 69 72 65 63 74 3d 31 20 77 65 
69 67 68 74 62 3d 31 20 6f 70 65 6e 5f 67 6f 70 3d 30 20 77 
65 69 67 68 74 70 3d 32 20 6b 65 79 69 6e 74 3d 32 35 30 20 
6b 65 79 69 6e 74 5f 6d 69 6e 3d 32 35 20 73 63 65 6e 65 63 
75 74 3d 34 30 20 69 6e 74 72 61 5f 72 65 66 72 65 73 68 3d 
30 20 72 63 5f 6c 6f 6f 6b 61 68 65 61 64 3d 34 30 20 72 63 
3d 63 62 72 20 6d 62 74 72 65 65 3d 31 20 62 69 74 72 61 74 
65 3d 31 30 35 30 36 20 72 61 74 65 74 6f 6c 3d 31 2e 30 20 
71 63 6f 6d 70 3d 30 2e 36 30 20 71 70 6d 69 6e 3d 30 20 71 
70 6d 61 78 3d 36 39 20 71 70 73 74 65 70 3d 34 20 76 62 76 
5f 6d 61 78 72 61 74 65 3d 31 30 35 30 36 20 76 62 76 5f 62 
75 66 73 69 7a 65 3d 36 34 30 30 30 20 6e 61 6c 5f 68 72 64 
3d 6e 6f 6e 65 20 66 69 6c 6c 65 72 3d 30 20 69 70 5f 72 61 
74 69 6f 3d 31 2e 34 30 20 61 71 3d 31 3a 31 2e 30 30 0 80 
[rtplib][rtpPkt_Handler]Found a key frame at ts 4178129015

TS = 4178129015 | RTP Payload = 96 | SeqNr = 775 | Len = 203612
TS = 4178141015 | RTP Payload = 96 | SeqNr = 930 | Len = 201080
TS = 4178135015 | RTP Payload = 96 | SeqNr = 1021 | Len = 118373
TS = 4178132015 | RTP Payload = 96 | SeqNr = 1055 | Len = 44227
TS = 4178138015 | RTP Payload = 96 | SeqNr = 1102 | Len = 60864
TS = 4178153015 | RTP Payload = 96 | SeqNr = 1255 | Len = 198229
TS = 4178147015 | RTP Payload = 96 | SeqNr = 1350 | Len = 123610
TS = 4178144015 | RTP Payload = 96 | SeqNr = 1396 | Len = 59191
TS = 4178150015 | RTP Payload = 96 | SeqNr = 1442 | Len = 58868
TS = 4178165015 | RTP Payload = 96 | SeqNr = 1551 | Len = 141741
TS = 4178159015 | RTP Payload = 96 | SeqNr = 1614 | Len = 81817
TS = 4178156015 | RTP Payload = 96 | SeqNr = 1648 | Len = 43884
TS = 4178162015 | RTP Payload = 96 | SeqNr = 1681 | Len = 42230
TS = 4178177015 | RTP Payload = 96 | SeqNr = 1755 | Len = 95284
TS = 4178171015 | RTP Payload = 96 | SeqNr = 1792 | Len = 47881
TS = 4178168015 | RTP Payload = 96 | SeqNr = 1814 | Len = 28005
TS = 4178174015 | RTP Payload = 96 | SeqNr = 1834 | Len = 25660
TS = 4178189015 | RTP Payload = 96 | SeqNr = 1904 | Len = 90654
TS = 4178183015 | RTP Payload = 96 | SeqNr = 1939 | Len = 45065
TS = 4178180015 | RTP Payload = 96 | SeqNr = 1959 | Len = 25709
TS = 4178186015 | RTP Payload = 96 | SeqNr = 1978 | Len = 23450
TS = 4178201015 | RTP Payload = 96 | SeqNr = 2049 | Len = 91892
TS = 4178195015 | RTP Payload = 96 | SeqNr = 2084 | Len = 45078
TS = 4178192015 | RTP Payload = 96 | SeqNr = 2105 | Len = 26696
TS = 4178198015 | RTP Payload = 96 | SeqNr = 2124 | Len = 23850
TS = 4178213015 | RTP Payload = 96 | SeqNr = 2190 | Len = 85902
TS = 4178207015 | RTP Payload = 96 | SeqNr = 2224 | Len = 43719
TS = 4178204015 | RTP Payload = 96 | SeqNr = 2243 | Len = 24694
TS = 4178210015 | RTP Payload = 96 | SeqNr = 2262 | Len = 23765
TS = 4178225015 | RTP Payload = 96 | SeqNr = 2343 | Len = 104406
TS = 4178219015 | RTP Payload = 96 | SeqNr = 2392 | Len = 63009
TS = 4178216015 | RTP Payload = 96 | SeqNr = 2416 | Len = 31117
TS = 4178222015 | RTP Payload = 96 | SeqNr = 2434 | Len = 22376
TS = 4178237015 | RTP Payload = 96 | SeqNr = 2504 | Len = 90636
TS = 4178231015 | RTP Payload = 96 | SeqNr = 2538 | Len = 43938
TS = 4178228015 | RTP Payload = 96 | SeqNr = 2558 | Len = 25073
TS = 4178234015 | RTP Payload = 96 | SeqNr = 2577 | Len = 24516
TS = 4178249015 | RTP Payload = 96 | SeqNr = 2646 | Len = 88641
TS = 4178243015 | RTP Payload = 96 | SeqNr = 2681 | Len = 45242
TS = 4178240015 | RTP Payload = 96 | SeqNr = 2702 | Len = 26106
TS = 4178246015 | RTP Payload = 96 | SeqNr = 2721 | Len = 24228
TS = 4178261015 | RTP Payload = 96 | SeqNr = 2790 | Len = 89584
TS = 4178255015 | RTP Payload = 96 | SeqNr = 2826 | Len = 45774
TS = 4178252015 | RTP Payload = 96 | SeqNr = 2846 | Len = 25992
TS = 4178258015 | RTP Payload = 96 | SeqNr = 2865 | Len = 24716
TS = 4178273015 | RTP Payload = 96 | SeqNr = 2934 | Len = 89608
TS = 4178267015 | RTP Payload = 96 | SeqNr = 2971 | Len = 46979
TS = 4178264015 | RTP Payload = 96 | SeqNr = 2992 | Len = 27101
TS = 4178270015 | RTP Payload = 96 | SeqNr = 3012 | Len = 25055
TS = 4178285015 | RTP Payload = 96 | SeqNr = 3080 | Len = 87833
TS = 4178279015 | RTP Payload = 96 | SeqNr = 3116 | Len = 45751
TS = 4178276015 | RTP Payload = 96 | SeqNr = 3137 | Len = 26313
TS = 4178282015 | RTP Payload = 96 | SeqNr = 3156 | Len = 24665
TS = 4178291015 | RTP Payload = 96 | SeqNr = 3208 | Len = 66681
TS = 4178288015 | RTP Payload = 96 | SeqNr = 3229 | Len = 26074
TS = 4178303015 | RTP Payload = 96 | SeqNr = 3299 | Len = 90940
TS = 4178297015 | RTP Payload = 96 | SeqNr = 3337 | Len = 48731
TS = 4178294015 | RTP Payload = 96 | SeqNr = 3369 | Len = 41596
TS = 4178300015 | RTP Payload = 96 | SeqNr = 3390 | Len = 26159
TS = 4178315015 | RTP Payload = 96 | SeqNr = 3465 | Len = 96905
TS = 4178309015 | RTP Payload = 96 | SeqNr = 3511 | Len = 58885
TS = 4178306015 | RTP Payload = 96 | SeqNr = 3532 | Len = 26598
TS = 4178312015 | RTP Payload = 96 | SeqNr = 3550 | Len = 22520
TS = 4178327015 | RTP Payload = 96 | SeqNr = 3614 | Len = 82414
TS = 4178321015 | RTP Payload = 96 | SeqNr = 3648 | Len = 43939
TS = 4178318015 | RTP Payload = 96 | SeqNr = 3668 | Len = 25528
TS = 4178324015 | RTP Payload = 96 | SeqNr = 3686 | Len = 23091
TS = 4178339015 | RTP Payload = 96 | SeqNr = 3751 | Len = 84627
TS = 4178333015 | RTP Payload = 96 | SeqNr = 3785 | Len = 43869
TS = 4178330015 | RTP Payload = 96 | SeqNr = 3806 | Len = 26256
TS = 4178336015 | RTP Payload = 96 | SeqNr = 3825 | Len = 24184
TS = 4178351015 | RTP Payload = 96 | SeqNr = 3890 | Len = 83748
TS = 4178345015 | RTP Payload = 96 | SeqNr = 3924 | Len = 43836
TS = 4178342015 | RTP Payload = 96 | SeqNr = 3945 | Len = 26086
TS = 4178348015 | RTP Payload = 96 | SeqNr = 3963 | Len = 23001
TS = 4178363015 | RTP Payload = 96 | SeqNr = 4028 | Len = 84626
TS = 4178357015 | RTP Payload = 96 | SeqNr = 4063 | Len = 44595
TS = 4178354015 | RTP Payload = 96 | SeqNr = 4083 | Len = 25859
TS = 4178360015 | RTP Payload = 96 | SeqNr = 4101 | Len = 22622
TS = 4178375015 | RTP Payload = 96 | SeqNr = 4161 | Len = 78088
TS = 4178369015 | RTP Payload = 96 | SeqNr = 4195 | Len = 44047
TS = 4178366015 | RTP Payload = 96 | SeqNr = 4214 | Len = 24542
TS = 4178372015 | RTP Payload = 96 | SeqNr = 4232 | Len = 22894
TS = 4178381015 | RTP Payload = 96 | SeqNr = 4276 | Len = 56471
TS = 4178378015 | RTP Payload = 96 | SeqNr = 4295 | Len = 24404
TS = 4178384015 | RTP Payload = 96 | SeqNr = 4353 | Len = 75515
TS = 4178396015 | RTP Payload = 96 | SeqNr = 4415 | Len = 79455
TS = 4178390015 | RTP Payload = 96 | SeqNr = 4452 | Len = 47364
TS = 4178387015 | RTP Payload = 96 | SeqNr = 4474 | Len = 27695
TS = 4178393015 | RTP Payload = 96 | SeqNr = 4495 | Len = 27081
TS = 4178408015 | RTP Payload = 96 | SeqNr = 4569 | Len = 95325
TS = 4178402015 | RTP Payload = 96 | SeqNr = 4615 | Len = 59411
TS = 4178399015 | RTP Payload = 96 | SeqNr = 4647 | Len = 41437
TS = 4178405015 | RTP Payload = 96 | SeqNr = 4669 | Len = 28354
TS = 4178414015 | RTP Payload = 96 | SeqNr = 4720 | Len = 65840
TS = 4178411015 | RTP Payload = 96 | SeqNr = 4747 | Len = 34226
TS = 4178420015 | RTP Payload = 96 | SeqNr = 4802 | Len = 71528
TS = 4178417015 | RTP Payload = 96 | SeqNr = 4823 | Len = 26761
TS = 4178432015 | RTP Payload = 96 | SeqNr = 4888 | Len = 83339
TS = 4178426015 | RTP Payload = 96 | SeqNr = 4920 | Len = 40835
TS = 4178423015 | RTP Payload = 96 | SeqNr = 4939 | Len = 23688
TS = 4178429015 | RTP Payload = 96 | SeqNr = 4956 | Len = 21807
TS = 4178444015 | RTP Payload = 96 | SeqNr = 5022 | Len = 85391
TS = 4178438015 | RTP Payload = 96 | SeqNr = 5054 | Len = 41269
TS = 4178435015 | RTP Payload = 96 | SeqNr = 5073 | Len = 24672
TS = 4178441015 | RTP Payload = 96 | SeqNr = 5090 | Len = 21854
TS = 4178456015 | RTP Payload = 96 | SeqNr = 5154 | Len = 83320
TS = 4178450015 | RTP Payload = 96 | SeqNr = 5187 | Len = 42363
TS = 4178447015 | RTP Payload = 96 | SeqNr = 5206 | Len = 24737
TS = 4178453015 | RTP Payload = 96 | SeqNr = 5223 | Len = 22089
TS = 4178468015 | RTP Payload = 96 | SeqNr = 5282 | Len = 76070
TS = 4178462015 | RTP Payload = 96 | SeqNr = 5315 | Len = 42528
TS = 4178459015 | RTP Payload = 96 | SeqNr = 5334 | Len = 24044
TS = 4178465015 | RTP Payload = 96 | SeqNr = 5352 | Len = 23265
TS = 4178471015 | RTP Payload = 96 | SeqNr = 5412 | Len = 77301
TS = 4178483015 | RTP Payload = 96 | SeqNr = 5478 | Len = 85933
TS = 4178477015 | RTP Payload = 96 | SeqNr = 5515 | Len = 47230
TS = 4178474015 | RTP Payload = 96 | SeqNr = 5535 | Len = 25610
TS = 4178480015 | RTP Payload = 96 | SeqNr = 5552 | Len = 22000
TS = 4178495015 | RTP Payload = 96 | SeqNr = 5625 | Len = 94404
TS = 4178489015 | RTP Payload = 96 | SeqNr = 5675 | Len = 64617
TS = 4178486015 | RTP Payload = 96 | SeqNr = 5696 | Len = 26179
TS = 4178492015 | RTP Payload = 96 | SeqNr = 5714 | Len = 22167
TS = 4178507015 | RTP Payload = 96 | SeqNr = 5777 | Len = 80743
TS = 4178501015 | RTP Payload = 96 | SeqNr = 5812 | Len = 45236
TS = 4178498015 | RTP Payload = 96 | SeqNr = 5835 | Len = 28904
TS = 4178504015 | RTP Payload = 96 | SeqNr = 5854 | Len = 24198
TS = 4178513015 | RTP Payload = 96 | SeqNr = 5899 | Len = 57574
TS = 4178510015 | RTP Payload = 96 | SeqNr = 5919 | Len = 25511
TS = 4178516015 | RTP Payload = 96 | SeqNr = 5964 | Len = 58529
TS = 4178528015 | RTP Payload = 96 | SeqNr = 6019 | Len = 70689
TS = 4178522015 | RTP Payload = 96 | SeqNr = 6045 | Len = 33240
TS = 4178519015 | RTP Payload = 96 | SeqNr = 6060 | Len = 19501
TS = 4178525015 | RTP Payload = 96 | SeqNr = 6075 | Len = 19503
TS = 4178540015 | RTP Payload = 96 | SeqNr = 6135 | Len = 77926
TS = 4178534015 | RTP Payload = 96 | SeqNr = 6163 | Len = 35622
TS = 4178531015 | RTP Payload = 96 | SeqNr = 6181 | Len = 22316
TS = 4178537015 | RTP Payload = 96 | SeqNr = 6196 | Len = 19279
TS = 4178552015 | RTP Payload = 96 | SeqNr = 6257 | Len = 78483
TS = 4178546015 | RTP Payload = 96 | SeqNr = 6286 | Len = 37405
TS = 4178543015 | RTP Payload = 96 | SeqNr = 6303 | Len = 22036
TS = 4178549015 | RTP Payload = 96 | SeqNr = 6319 | Len = 19656
TS = 4178564015 | RTP Payload = 96 | SeqNr = 6379 | Len = 78060
TS = 4178558015 | RTP Payload = 96 | SeqNr = 6408 | Len = 37508
TS = 4178555015 | RTP Payload = 96 | SeqNr = 6426 | Len = 22218
TS = 4178561015 | RTP Payload = 96 | SeqNr = 6441 | Len = 18979
TS = 4178576015 | RTP Payload = 96 | SeqNr = 6500 | Len = 75989
TS = 4178570015 | RTP Payload = 96 | SeqNr = 6530 | Len = 38004
TS = 4178567015 | RTP Payload = 96 | SeqNr = 6547 | Len = 21787
TS = 4178573015 | RTP Payload = 96 | SeqNr = 6562 | Len = 18969
TS = 4178588015 | RTP Payload = 96 | SeqNr = 6627 | Len = 83366
TS = 4178582015 | RTP Payload = 96 | SeqNr = 6663 | Len = 46304
TS = 4178579015 | RTP Payload = 96 | SeqNr = 6684 | Len = 26835
TS = 4178585015 | RTP Payload = 96 | SeqNr = 6699 | Len = 19021
TS = 4178594015 | RTP Payload = 96 | SeqNr = 6752 | Len = 68186
TS = 4178591015 | RTP Payload = 96 | SeqNr = 6771 | Len = 24380
TS = 4178600015 | RTP Payload = 96 | SeqNr = 6831 | Len = 77136
TS = 4178597015 | RTP Payload = 96 | SeqNr = 6850 | Len = 24150
TS = 4178612015 | RTP Payload = 96 | SeqNr = 6922 | Len = 93448
TS = 4178606015 | RTP Payload = 96 | SeqNr = 6957 | Len = 44424
TS = 4178603015 | RTP Payload = 96 | SeqNr = 6978 | Len = 26159
TS = 4178609015 | RTP Payload = 96 | SeqNr = 6996 | Len = 22294
TS = 4178624015 | RTP Payload = 96 | SeqNr = 7068 | Len = 92843
TS = 4178618015 | RTP Payload = 96 | SeqNr = 7103 | Len = 44945
TS = 4178615015 | RTP Payload = 96 | SeqNr = 7123 | Len = 25716
TS = 4178621015 | RTP Payload = 96 | SeqNr = 7141 | Len = 23051
TS = 4178633015 | RTP Payload = 96 | SeqNr = 7202 | Len = 79105
TS = 4178627015 | RTP Payload = 96 | SeqNr = 7226 | Len = 31208
TS = 4178630015 | RTP Payload = 96 | SeqNr = 7245 | Len = 24539
TS = 4178645015 | RTP Payload = 96 | SeqNr = 7318 | Len = 94486
TS = 4178639015 | RTP Payload = 96 | SeqNr = 7354 | Len = 46353
TS = 4178636015 | RTP Payload = 96 | SeqNr = 7376 | Len = 27837
TS = 4178642015 | RTP Payload = 96 | SeqNr = 7391 | Len = 18464
TS = 4178657015 | RTP Payload = 96 | SeqNr = 7459 | Len = 87444
TS = 4178651015 | RTP Payload = 96 | SeqNr = 7492 | Len = 42915
TS = 4178648015 | RTP Payload = 96 | SeqNr = 7511 | Len = 24244
TS = 4178654015 | RTP Payload = 96 | SeqNr = 7529 | Len = 22765
TS = 4178669015 | RTP Payload = 96 | SeqNr = 7614 | Len = 109811
TS = 4178663015 | RTP Payload = 96 | SeqNr = 7654 | Len = 51149
TS = 4178660015 | RTP Payload = 96 | SeqNr = 7674 | Len = 25790
TS = 4178666015 | RTP Payload = 96 | SeqNr = 7698 | Len = 30557
TS = 4178681015 | RTP Payload = 96 | SeqNr = 7775 | Len = 100006
TS = 4178675015 | RTP Payload = 96 | SeqNr = 7818 | Len = 55775
TS = 4178672015 | RTP Payload = 96 | SeqNr = 7836 | Len = 22547
TS = 4178678015 | RTP Payload = 96 | SeqNr = 7861 | Len = 31820
TS = 4178687015 | RTP Payload = 96 | SeqNr = 7918 | Len = 74185
TS = 4178684015 | RTP Payload = 96 | SeqNr = 7939 | Len = 26901
TS = 4178696015 | RTP Payload = 96 | SeqNr = 8012 | Len = 94094
TS = 4178690015 | RTP Payload = 96 | SeqNr = 8043 | Len = 39379
TS = 4178693015 | RTP Payload = 96 | SeqNr = 8064 | Len = 26557
TS = 4178708015 | RTP Payload = 96 | SeqNr = 8149 | Len = 109681
TS = 4178702015 | RTP Payload = 96 | SeqNr = 8192 | Len = 54915
TS = 4178699015 | RTP Payload = 96 | SeqNr = 8216 | Len = 30514
TS = 4178705015 | RTP Payload = 96 | SeqNr = 8238 | Len = 27367
TS = 4178717015 | RTP Payload = 96 | SeqNr = 8308 | Len = 90131
TS = 4178711015 | RTP Payload = 96 | SeqNr = 8334 | Len = 32961
TS = 4178714015 | RTP Payload = 96 | SeqNr = 8355 | Len = 27081
TS = 4178729015 | RTP Payload = 96 | SeqNr = 8437 | Len = 106749
TS = 4178723015 | RTP Payload = 96 | SeqNr = 8478 | Len = 52274
TS = 4178720015 | RTP Payload = 96 | SeqNr = 8502 | Len = 30586
TS = 4178726015 | RTP Payload = 96 | SeqNr = 8524 | Len = 28276
TS = 4178738015 | RTP Payload = 96 | SeqNr = 8603 | Len = 101756
TS = 4178732015 | RTP Payload = 96 | SeqNr = 8632 | Len = 37331
TS = 4178735015 | RTP Payload = 96 | SeqNr = 8657 | Len = 31258
TS = 4178747015 | RTP Payload = 96 | SeqNr = 8736 | Len = 102742
TS = 4178741015 | RTP Payload = 96 | SeqNr = 8768 | Len = 41296
TS = 4178744015 | RTP Payload = 96 | SeqNr = 8794 | Len = 32827
TS = 4178750015 | RTP Payload = 96 | SeqNr = 8828 | Len = 43353
TS = 4178759015 | RTP Payload = 96 | SeqNr = 8932 | Len = 134339
TS = 4178753015 | RTP Payload = 96 | SeqNr = 8965 | Len = 42271
TS = 4178756015 | RTP Payload = 96 | SeqNr = 8992 | Len = 34494
TS = 4178771015 | RTP Payload = 96 | SeqNr = 9082 | Len = 117077
TS = 4178765015 | RTP Payload = 96 | SeqNr = 9132 | Len = 64136
TS = 4178762015 | RTP Payload = 96 | SeqNr = 9157 | Len = 31835
TS = 4178768015 | RTP Payload = 96 | SeqNr = 9183 | Len = 32990
TS = 4178774015 | RTP Payload = 96 | SeqNr = 9223 | Len = 51844
TS = 4178777015 | RTP Payload = 96 | SeqNr = 9263 | Len = 51143
TS = 4178789015 | RTP Payload = 96 | SeqNr = 9353 | Len = 116785
TS = 4178783015 | RTP Payload = 96 | SeqNr = 9405 | Len = 66992
TS = 4178780015 | RTP Payload = 96 | SeqNr = 9436 | Len = 39209
TS = 4178786015 | RTP Payload = 96 | SeqNr = 9462 | Len = 33617
TS = 4178801015 | RTP Payload = 96 | SeqNr = 9553 | Len = 117615
TS = 4178795015 | RTP Payload = 96 | SeqNr = 9605 | Len = 66893
TS = 4178792015 | RTP Payload = 96 | SeqNr = 9634 | Len = 37267
TS = 4178798015 | RTP Payload = 96 | SeqNr = 9662 | Len = 35443
TS = 4178813015 | RTP Payload = 96 | SeqNr = 9749 | Len = 112092
TS = 4178807015 | RTP Payload = 96 | SeqNr = 9797 | Len = 61440
TS = 4178804015 | RTP Payload = 96 | SeqNr = 9825 | Len = 36268
TS = 4178810015 | RTP Payload = 96 | SeqNr = 9853 | Len = 35378
TS = 4178825015 | RTP Payload = 96 | SeqNr = 9943 | Len = 116165
TS = 4178819015 | RTP Payload = 96 | SeqNr = 9994 | Len = 65623
TS = 4178816015 | RTP Payload = 96 | SeqNr = 10022 | Len = 36234
TS = 4178822015 | RTP Payload = 96 | SeqNr = 10051 | Len = 36878
TS = 4178837015 | RTP Payload = 96 | SeqNr = 10140 | Len = 115073
TS = 4178831015 | RTP Payload = 96 | SeqNr = 10192 | Len = 66763
TS = 4178828015 | RTP Payload = 96 | SeqNr = 10218 | Len = 33436
TS = 4178834015 | RTP Payload = 96 | SeqNr = 10244 | Len = 33796
TS = 4178849015 | RTP Payload = 96 | SeqNr = 10341 | Len = 125177
TS = 4178843015 | RTP Payload = 96 | SeqNr = 10401 | Len = 77900
TS = 4178840015 | RTP Payload = 96 | SeqNr = 10429 | Len = 35232
TS = 4178846015 | RTP Payload = 96 | SeqNr = 10459 | Len = 38179
TS = 4178858015 | RTP Payload = 96 | SeqNr = 10535 | Len = 98892
TS = 4178852015 | RTP Payload = 96 | SeqNr = 10563 | Len = 35531
TS = 4178855015 | RTP Payload = 96 | SeqNr = 10596 | Len = 41990
TS = 4178864015 | RTP Payload = 96 | SeqNr = 10665 | Len = 88820
TS = 4178861015 | RTP Payload = 96 | SeqNr = 10704 | Len = 49955
TS = 4178867015 | RTP Payload = 96 | SeqNr = 10762 | Len = 74508
TS = 4178870015 | RTP Payload = 96 | SeqNr = 10803 | Len = 52987
TS = 4178876015 | RTP Payload = 96 | SeqNr = 10860 | Len = 73161
TS = 4178873015 | RTP Payload = 96 | SeqNr = 10893 | Len = 42383
TS = 4178879015 | RTP Payload = 96 | SeqNr = 10894 | Len = 25
Payload Data : 
67 f4 0 20 91 9b 28 a 0 b7 42 0 0 3 0 2 0 0 3 0 
78 1e 30 63 2c 
TS = 4178879015 | RTP Payload = 96 | SeqNr = 10894 | Len = 5
Payload Data : 
68 eb ec 44 80 
TS = 4178879015 | RTP Payload = 96 | SeqNr = 11034 | Len = 182277

...
TS = 4179620015 | RTP Payload = 96 | SeqNr = 19953 | Len = 17574
TS = 4179626015 | RTP Payload = 96 | SeqNr = 19954 | Len = 25
Payload Data : 
67 f4 0 20 91 9b 28 a 0 b7 42 0 0 3 0 2 0 0 3 0 
78 1e 30 63 2c 
TS = 4179626015 | RTP Payload = 96 | SeqNr = 19954 | Len = 5
Payload Data : 
68 eb ec 44 80 
TS = 4179626015 | RTP Payload = 96 | SeqNr = 20034 | Len = 103235
TS = 4179638015 | RTP Payload = 96 | SeqNr = 20099 | Len = 83915
TS = 4179632015 | RTP Payload = 96 | SeqNr = 20136 | Len = 47878
...
TS = 4180367015 | RTP Payload = 96 | SeqNr = 28375 | Len = 74904
TS = 4180364015 | RTP Payload = 96 | SeqNr = 28397 | Len = 28493
TS = 4180373015 | RTP Payload = 96 | SeqNr = 28439 | Len = 54554
TS = 4180370015 | RTP Payload = 96 | SeqNr = 28459 | Len = 25420
TS = 4180376015 | RTP Payload = 96 | SeqNr = 28460 | Len = 25
Payload Data : 
67 f4 0 20 91 9b 28 a 0 b7 42 0 0 3 0 2 0 0 3 0 
78 1e 30 63 2c 
TS = 4180376015 | RTP Payload = 96 | SeqNr = 28460 | Len = 5
Payload Data : 
68 eb ec 44 80 
TS = 4180376015 | RTP Payload = 96 | SeqNr = 28560 | Len = 129431
TS = 4180388015 | RTP Payload = 96 | SeqNr = 28630 | Len = 90901
TS = 4180382015 | RTP Payload = 96 | SeqNr = 28675 | Len = 57964
TS = 4180379015 | RTP Payload = 96 | SeqNr = 28703 | Len = 35260
...
TS = 4183529015 | RTP Payload = 96 | SeqNr = 62224 | Len = 34771

Total Bytes Received = 79054651
Total Packets  = 1819


  


  After streaming starts I get 1 rtp packet len 25 , 1 rtp packet len 5 and 1 rtp packet len 760. After I received the packet with len 760 I get this message :

  


  [rtplib][rtpPkt_Handler]Found a key frame at ts 4178129015


  


  Can someone please explain to me what this rtp messages with len 25,5 and 760 means and what key frame means in this context ?

  


  Also I have rtp packets of size 5 and 25 in the middle of transmission.

  


  As you can see ffmpeg is saying 1802 frames were sent and Total packets received in C++ Application is 1819 because I receive 8 rtp packets of len 25, 8 rtp packets of len 5 and 1 rtp packet of size 760. If we substract this, it's exactly 1802 frames.

  


  My questions would be :

  


  How to get frame raw pixel data based on rtp packets payload data I receive ? eg. 1280x720 3 Channels ( thats the mp4 video resolution )

  


  Can someone tell me what those packets of len 25,5,760 on the beggining means and packets of len 25,5 in the middle of transmission means ?

  


  Thanks in advance !!!