Sur d’autres sites (7341)

• Camera's pts and dts jumps issue

  14 mars 2014, par tilzaer

  I use ffmpeg library in my code for capturing rtsp streams from cameras and writing in flv. If I capture streams from only one camera and camera has only video stream then there's no any errors, I got first packet with pts and dts 1698557894 and other packets' pts and dts slowly increases. But if camera has video and audio streams, then strange things occur. For example, video packets pts and dts begin with 1698557894 and slowly increase, and audio starts with 0 then slowly increases and after 50 packets jumps to value 151004317 and slowly increase. Another situation, when audio begins with 0 and slowly increases, and video begins from 1785662594 and after 70 packets jumps to 234722 and slowly increase. Such behaviour do not allow flv segment muxer to write files, it just returns some EINVAL value.

  Also if I try to capture streams from two cameras, first camera has only video and another has video and audio, then first camera packets' pts and dts are ok. But another camera has video and audio pts/dts values which are very different. av_read_frame returns video packet with pts/dts value 1811924055, which rescales to 557003451 in flv muxer and audio 4456027604, which rescales to 557003451, but these values must be almost equal !

  So, the questions are :
  0) why do these jumps occur in the beginning of capturing ? is it a problem with camera or it is just some ffmpeg issue ?
  1) can such jump occur after some long period ? how I should handle it ?
  2) why camera's video and audio have so different pts/dts values ?

• Python : How to clip/trim required part from the video and move the trimmed video file to other directory

  4 avril 2021, par saurabh

  I'm trying to remove duplicate segments from videos from a directory and paste these trimmed videos to other directory.

  


  For example :

  


  I've following directory structure for saving live rtsp stream (each 1 min long) :-

  


  Live_videos
------2021-04-04
      ------stream1
            -------14 36 08.avi( 1 min)
                   14 37 08.avi( Saved only till 14 37 39 mark due to disconnect with stream1 camera)
                   14 38 35.avi( 1 min)
            stream2
            -------14 36 15.avi( 1 min)
                   14 37 15.avi( 1 min)
                   14 38 14.avi( 1 min)


  


  So, the disconnect and reconnect time are 14 37 40 and 14 38 34 respectively which will be sent to some other server and that server will search for videos saved in their machine which contains segments from the given timestamps and sends the video file in following directory structure : -

  


  Edge_videos
-----------2021-04-04
           ----------stream1
                     -------14 36 35.avi
                     -------14 37 35.avi


  


  Now, you can see that the received video files have the required segments from disconnect period as well as duplicate segments which are already saved in Live_videos directory.

  


  How do I remove the duplicate segments from the received videos and move only the required trimmed video file to the Live_videos----> stream1 directory and delete all the files from Edge_videos afterwards.

  


• Date and segment comparison feature

  31 octobre 2019, par Matomo Core Team — Analytics Tips, Development

  Get a clearer picture with the date and segment comparison feature

  What can you do with it ? What are the benefits ?

  Make informed decisions faster by easily comparing different segments and dates with each other.

  Compare report data for multiple segments next to each other

  

  Directly compare the behaviour of visitors from different segments e.g. customers with accounts vs. customers without accounts. Segment comparisons are a powerful way to compare different audience ; learn which ones perform better ; and in what way their actions differ. 

  Compare report data for two time periods next to each other

  

  See how your website performs compared to the previous month/week/year. Including seeing trends over those periods. Say, your business always picks up at the same times within a year, or there’s a sag in business for every user segment over this year and the last except one.

  By being able to compare date ranges you are able to get a quick overview of trends and period to period performance. Has a campaign worked better in September than in October ? Get an instant look by having the side-by-side comparison in Matomo.

  What is it capable of ?

  It lets you ask the question, “What is different ?”

  If you look at reports you’ll only see how people behave overall and if you look at specific segments you’ll see how they behave at face value, however, if you compare data together you’ll be quickly informed on what makes them unique. This data is still there when you don’t use the comparison feature, it’s just buried. Comparing data highlights discrepancies and leads to important questions and answers.

  For example, perhaps some class of users have very low engagement on a specific day compared to the rest of your visitors, and perhaps those users are responsible for an outsized proportion of churn. 

  Who could benefit from it, and why ?

  Everyone can benefit from using it (and probably should use it). It’s yours to experiment with ! You shouldn’t feel restricted to only comparing between the current and last period, or having questions before you start comparing. Follow your instincts and see what pops out when data from different segments is laid out next to each other.

  Where can you find it in Matomo ?

  • Segment comparison is activated by the new icon in the segment selector

  

  • Date comparison can be found in the calendar section of Matomo

  

  • The list of active comparisons is visible at the top of the page for all pages that support comparison
  • Comparisons are visible in every report that supports comparing data, and reports that do not support it will display a message saying so

  How do you use it ?

  • To compare segments, click the icon in the segment selector
  • To compare periods, click the ‘compare’ checkbox in the period selector, then select what period you want to compare it against in the dropdown (previous period, previous year, or a custom range)
  • When comparisons are active, view your reports as normal

  Take it away !

  The comparison feature is a new tool from Matomo 3.12.0 that highlights discrepancies and differences in data that can lead to more clarity and understanding, so we’d encourage everyone to use it. 

  Try it out today in your Matomo and see the power behind this new data comparison mode !