Recherche avancée

Sur d’autres sites (7138)

• A Complete Guide to Metrics in Google Analytics

  11 janvier 2024, par Erin

  There’s no denying that Google Analytics is the most popular web analytics solution today. Many marketers choose it to understand user behaviour. But when it offers so many different types of metrics, it can be overwhelming to choose which ones to focus on. In this article, we’ll dive into how metrics work in Google Analytics 4 and how to decide which metrics may be most useful to you, depending on your analytics needs.

  However, there are alternative web analytics solutions that can provide more accurate data and supplement GA’s existing features. Keep reading to learn how to overcome Google Analytics limitations so you can get the more out of your web analytics.

  What is a metric in Google Analytics ?

  In Google Analytics, a metric is a quantitative measurement or numerical data that provides insights into specific aspects of user behaviour. Metrics represent the counts or sums of user interactions, events or other data points. You can use GA metrics to better understand how people engage with a website or mobile app. 

  Unlike the previous Universal Analytics (the previous version of GA), GA4 is event-centric and has automated and simplified the event tracking process. Compared to Universal Analytics, GA4 is more user-centric and lets you hone in on individual user journeys. Some examples of common key metrics in GA4 are : 

  • Sessions : A group of user interactions on your website that occur within a specific time period. A session concludes when there is no user activity for 30 minutes.
  • Total Users : The cumulative count of individuals who accessed your site within a specified date range.
  • Engagement Rate : The percentage of visits to your website or app that included engagement (e.g., one more pageview, one or more conversion, etc.), determined by dividing engaged sessions by sessions.

  

  Metrics are invaluable when it comes to website and conversion optimisation. Whether you’re on the marketing team, creating content or designing web pages, understanding how your users interact with your digital platforms is essential.

  GA4 metrics vs. dimensions

  GA4 uses metrics to discuss quantitative measurements and dimensions as qualitative descriptors that provide additional context to metrics. To make things crystal clear, here are some examples of how metrics and dimensions are used together : 

  • “Session duration” = metric, “device type” = dimension 
    • In this situation, the dimension can segment the data by device type so you can optimise the user experience for different devices.
  • “Bounce rate” = metric, “traffic source/medium” = dimension 
    • Here, the dimension helps you segment by traffic source to understand how different acquisition channels are performing. 
  • “Conversion rate” = metric, “Landing page” = dimension 
    • When the conversion rate data is segmented by landing page, you can better see the most effective landing pages. 

  You can get into the nitty gritty of granular analysis by combining metrics and dimensions to better understand specific user interactions.

  How do Google Analytics metrics work ?

  Before diving into the most important metrics you should track, let’s review how metrics in GA4 work. 

  

  1. Tracking code implementation

  The process begins with implementing Google Analytics 4 tracking code into the HTML of web pages. This tracking code is JavaScript added to each website page — it collects data related to user interactions, events and other important tidbits.

  2. Data collection

  As users interact with the website or app, the Google Analytics 4 tracking code captures various data points (i.e., page views, clicks, form submissions, custom events, etc.). This raw data is compiled and sent to Google Analytics servers for processing.

  3. Data processing algorithms

  When the data reaches Google Analytics servers, data processing algorithms come into play. These algorithms analyse the incoming raw data to identify the dataset’s trends, relationships and patterns. This part of the process involves cleaning and organising the data.

  4. Segmentation and customisation

  As discussed in the previous section, Google Analytics 4 allows for segmentation and customisation of data with dimensions. To analyse specific data groups, you can define segments based on various dimensions (e.g., traffic source, device type). Custom events and user properties can also be defined to tailor the tracking to the unique needs of your website or app.

  5. Report generation

  Google Analytics 4 can make comprehensive reports and dashboards based on the processed and segmented data. These reports, often in the form of graphs and charts, help identify patterns and trends in the data.

  What are the most important Google Analytics metrics to track ? 

  In this section, we’ll identify and define key metrics for marketing teams to track in Google Analytics 4. 

  

  1. Pageviews are the total number of times a specific page or screen on your website or app is viewed by visitors. Pageviews are calculated each time a web page is loaded or reloaded in a browser. You can use this metric to measure the popularity of certain content on your website and what users are interested in. 
  2. Event tracking monitors user interactions with content on a website or app (i.e., clicks, downloads, video views, etc.). Event tracking provides detailed insights into user engagement so you can better understand how users interact with dynamic content. 
  3. Retention rate can be analysed with a pre-made overview report that Google Analytics 4 provides. This user metric measures the percentage of visitors who return to your website or app after their first visit within a specific time period. Retention rate = (users with subsequent visits / total users in the initial cohort) x 100. Use this information to understand how relevant or effective your content, user experience and marketing efforts are in retaining visitors. You probably have more loyal/returning buyers if you have a high retention rate. 
  4. Average session duration calculates the average time users spend on your website or app per session. Average session duration = total duration of all sessions / # of sessions. A high average session duration indicates how interested and engaged users are with your content. 
  5. Site searches and search queries on your website are automatically tracked by Google Analytics 4. These metrics include search terms, number of searches and user engagement post-search. You can use site search metrics to better understand user intent and refine content based on users’ searches. 
  6. Entrance and exit pages show where users first enter and leave your site. This metric is calculated by the percentage of sessions that start or end on a specific page. Knowing where users are entering and leaving your site can help identify places for content optimisation. 
  7. Device and browser info includes data about which devices and browsers websites or apps visitors use. This is another metric that Google Analytics 4 automatically collects and categorises during user sessions. You can use this data to improve the user experience on relevant devices and browsers. 
  8. Bounce rate is the percentage of single-page sessions where users leave your site or app without interacting further. Bounce rate = (# of single-page sessions / total # of sessions) x 100. Bounce rate is useful for determining how effective your landing pages are — pages with high bounce rates can be tweaked and optimised to enhance user engagement.

  Examples of how Matomo can elevate your web analytics

  Although Google Analytics is a powerful tool for understanding user behaviour, it also has privacy concerns, limitations and a list of issues. Another web analytics solution like Matomo can help fill those gaps so you can get the most out of your analytics.

  

  1. Cross-verify and validate your observations from Google Analytics by comparing data from Matomo’s Heatmaps and Session Recordings for the same pages. This process grants you access to these advanced features that GA4 does not offer.

  

  1. Matomo provides you with greater accuracy thanks to its privacy-friendly design. Unlike GA4, Matomo can be configured to operate without cookies. This means increased accuracy without intrusive cookie consent screens interrupting the user experience. It’s a win for you and for your users. Matomo also doesn’t apply data sampling so you can rest assured that the data you see is 100% accurate.

  3. Unlike GA4, Matomo offers direct access to customer support so you can save time sifting through community forum threads and online documentation. Gain personalised assistance and guidance for your analytics questions, and resolve issues efficiently.

  

  4. Matomo’s Form Analytics and Media Analytics extend your analytics capabilities beyond just pageviews and event tracking.

     Tracking user interactions with forms can tell you which fields users struggle with, common drop-off points, in addition to which parts of the form successfully guide visitors towards submission.

     See first-hand how Concrete CMS 3x their leads using Matomo’s Form Analytics.

     Media Analytics can provide insight into how users interact with image, video, or audio content on your website. You can use this feature to assess the relevance and popularity of specific content by knowing what your audience is engaged by.

  Try Matomo for Free

  Get the web insights you need, without compromising data accuracy.

  Start for free

  No credit card required

  Final thoughts

  Although Google Analytics is a powerful tool on its own, Matomo can elevate your web analytics by offering advanced features, data accuracy and a privacy-friendly design. Don’t play a guessing game with your data — Matomo provides 100% accurate data so you don’t have to rely on AI or machine learning to fill in the gaps. Matomo can be configured cookieless which also provides you with more accurate data and a better user experience. 

  Lastly, Matomo is fully compliant with some of the world’s strictest privacy regulations like GPDR. You won’t have to sacrifice compliance for accurate, high quality data. 

  Start your 21-day free trial of Matomo — no credit card required.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

  Your website address
  

  Your Analytics subdomain will be .matomo.cloud (change)

  Choose your analytics subdomain
  

  .matomo.cloud

  I accept the terms and conditions and data processing agreement (DPA)

  
  Your information will be used to create an account on our cloud service. For more information please consult our privacy policy.
  
  
  

  Start improving your websites now

  

• Ffmpeg video output is 0 seconds with correct filesize when uploading to google cloud bucket

  22 août 2022, par Turgut

  I've made a C++ program that lives in gke and takes some videos as input using ffmpeg, then does something with that input using opengl(not relevant), then finally encodes those edited videos as a single output. Normally the program works perfectly fine on my local machine, it encodes just as I want it to with no warnings or valgrind errors whatsoever. Then, after encoding the said video, I want my program to upload that video to the google cloud storage. This is where the problem comes, I have tried 2 methods for this : First, I tried using curl to upload to the cloud using a signed url. Second, I tried mounting the google storage using gcsfuse(I was already mounting the bucket to access the inputs in question). Both of those methods yielded undefined, weird behaviour's ranging from : Outputing a 0byte or 44byte file, (This is the most common one :) encoding in the correct file size 500mb but the video is 0 seconds long, outputing a 0.4 second video or just encoding the desired output normally (really rare).

  


  From the logs I can't see anything unusual, everything seems to work fine and ffmpeg does not give any errors or warnings, so does valgrind. Everything seems to work normally, even when I use curl to upload the video to the cloud the output is perfectly fine when it first encodes it (before sending it with curl) but the video gets messed up when curl uploads it to the cloud.

  


  I'm using the muxing.c example of ffmpeg to encode my video with the only difference being :

  


  void video_encoder::fill_yuv_image(AVFrame *frame, struct SwsContext *sws_context) {
    const int in_linesize[1] = { 4 * width };
    //uint8_t* dest[4] = { rgb_data, NULL, NULL, NULL };
    sws_context = sws_getContext(
            width, height, AV_PIX_FMT_RGBA,
            width, height, AV_PIX_FMT_YUV420P,
            SWS_BICUBIC, 0, 0, 0);

    sws_scale(sws_context, (const uint8_t * const *)&rgb_data, in_linesize, 0,
            height, frame->data, frame->linesize);
}


  


  rgb_data is the data I got after editing the inputs. Again, this works fine and I don't think there are any errors here.

  


  I'm not sure where the error is and since the code is huge I can't provide a replicable example. I'm just looking for someone to point me to the right direction.

  


  Running the cloud's output in mplayer wields this result (This is when the video is the right size but is 0 seconds long, the most common one.) :

  


  MPlayer 1.4 (Debian), built with gcc-11 (C) 2000-2019 MPlayer Team
do_connect: could not connect to socket
connect: No such file or directory
Failed to open LIRC support. You will not be able to use your remote control.

Playing /media/c36c2633-d4ee-4d37-825f-88ae54b86100.
libavformat version 58.76.100 (external)
libavformat file format detected.
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x7f2cba1168e0]moov atom not found
LAVF_header: av_open_input_stream() failed
libavformat file format detected.
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x7f2cba1168e0]moov atom not found
LAVF_header: av_open_input_stream() failed
RAWDV file format detected.
VIDEO:  [DVSD]  720x480  24bpp  29.970 fps    0.0 kbps ( 0.0 kbyte/s)
X11 error: BadMatch (invalid parameter attributes)
Failed to open VDPAU backend libvdpau_nvidia.so: cannot open shared object file: No such file or directory
[vdpau] Error when calling vdp_device_create_x11: 1
==========================================================================
Opening video decoder: [ffmpeg] FFmpeg's libavcodec codec family
libavcodec version 58.134.100 (external)
[dvvideo @ 0x7f2cb987a380]Requested frame threading with a custom get_buffer2() implementation which is not marked as thread safe. This is not supported anymore, make your callback thread-safe.
Selected video codec: [ffdv] vfm: ffmpeg (FFmpeg DV)
==========================================================================
Load subtitles in /media/
==========================================================================
Opening audio decoder: [libdv] Raw DV Audio Decoder
Unknown/missing audio format -> no sound
ADecoder init failed :(
Opening audio decoder: [ffmpeg] FFmpeg/libavcodec audio decoders
[dvaudio @ 0x7f2cb987a380]Decoder requires channel count but channels not set
Could not open codec.
ADecoder init failed :(
ADecoder init failed :(
Cannot find codec for audio format 0x56444152.
Audio: no sound
Starting playback...
[dvvideo @ 0x7f2cb987a380]could not find dv frame profile
Error while decoding frame!
[dvvideo @ 0x7f2cb987a380]could not find dv frame profile
Error while decoding frame!
V:   0.0   2/  2 ??% ??% ??,?% 0 0 


Exiting... (End of file)




  


  Edit : Since the code runs on a VM, I'm using xvfb-run ro start my application, but again even when using xvfb-run it works completely fine on when not encoding to the cloud.

  


• Why X.Org's X Server has stopped working on Google Colab ?

  20 février 2021, par Rahul

  I am Using X server for the virtual screen on Google Colab and capturing that screen with ffmpeg to record it and live stream it to twitch. (for the reinforcement learning project)

  


  


  The above process was completely working till my last use of my Colab notebook (on mid-January 2021), but now (on 19th February 2021) I am using the same notebook and the streaming code has stopped working.

  


  


  I am adding config and log file data below. (I have never seen these files before because it was working, now it's not so I don't have any idea what wrong)

  


  The config file stored at /etc/X11/xorg.conf have the following data :

  


  # nvidia-xconfig: X configuration file generated by nvidia-xconfig
# nvidia-xconfig:  version 418.67

Section "ServerLayout"
    Identifier     "Layout0"
    Screen      0  "Screen0"
    InputDevice    "Keyboard0" "CoreKeyboard"
    InputDevice    "Mouse0" "CorePointer"
EndSection

Section "Files"
EndSection

Section "InputDevice"
    # generated from default
    Identifier     "Mouse0"
    Driver         "mouse"
    Option         "Protocol" "auto"
    Option         "Device" "/dev/mouse"
    Option         "Emulate3Buttons" "no"
    Option         "ZAxisMapping" "4 5"
EndSection

Section "InputDevice"
    # generated from default
    Identifier     "Keyboard0"
    Driver         "kbd"
EndSection

Section "Monitor"
    Identifier     "Monitor0"
    VendorName     "Unknown"
    ModelName      "Unknown"
    HorizSync       28.0 - 33.0
    VertRefresh     43.0 - 72.0
    Option         "DPMS"
EndSection

Section "Device"
    Identifier     "Device0"
    Driver         "nvidia"
    VendorName     "NVIDIA Corporation"
    BoardName      "Tesla T4"
    BusID          "PCI:0:4:0"
    MatchSeat      "seat-1"
EndSection

Section "Screen"
    Identifier     "Screen0"
    Device         "Device0"
    Monitor        "Monitor0"
    DefaultDepth    24
    Option         "AllowEmptyInitialConfiguration" "True"
    SubSection     "Display"
        Virtual     1920 1080
        Depth       24
    EndSubSection
EndSection


  


  The log file stored at /var/log/Xorg.0.log have the following data :

  


  [   464.605] 
X.Org X Server 1.19.6
Release Date: 2017-12-20
[   464.605] X Protocol Version 11, Revision 0
[   464.605] Build Operating System: Linux 4.15.0-124-generic x86_64 Ubuntu
[   464.605] Current Operating System: Linux 9d3fe3949671 4.19.112+ #1 SMP Thu Jul 23 08:00:38 PDT 2020 x86_64
[   464.605] Kernel command line: BOOT_IMAGE=/syslinux/vmlinuz.A init=/usr/lib/systemd/systemd boot=local rootwait ro noresume noswap loglevel=7 noinitrd console=ttyS0 security=apparmor virtio_net.napi_tx=1 systemd.unified_cgroup_hierarchy=false systemd.legacy_systemd_cgroup_controller=false csm.disabled=1 dm_verity.error_behavior=3 dm_verity.max_bios=-1 dm_verity.dev_wait=1 i915.modeset=1 cros_efi loadpin.enabled=0 root=/dev/dm-0 "dm=1 vroot none ro 1,0 4077568 verity payload=PARTUUID=555BDB75-CBD7-CD4A-B24E-29B13D7AC0DF hashtree=PARTUUID=555BDB75-CBD7-CD4A-B24E-29B13D7AC0DF hashstart=4077568 alg=sha256 root_hexdigest=42104d547ac104fb7061529e78f53e4f3e8c3d3cbb040dc6e0f84aad68491347 salt=9dc7f3acc4e2ce65be16356e960c2b21b51a917fa31d2e891fd295490c991e41" mitigations=off
[   464.605] Build Date: 30 November 2020  08:01:56PM
[   464.605] xorg-server 2:1.19.6-1ubuntu4.8 (For technical support please see http://www.ubuntu.com/support) 
[   464.605] Current version of pixman: 0.34.0
[   464.605]    Before reporting problems, check http://wiki.x.org
    to make sure that you have the latest version.
[   464.605] Markers: (--) probed, (**) from config file, (==) default setting,
    (++) from command line, (!!) notice, (II) informational,
    (WW) warning, (EE) error, (NI) not implemented, (??) unknown.
[   464.605] (==) Log file: "/var/log/Xorg.0.log", Time: Sat Feb 20 03:10:44 2021
[   464.606] (==) Using config file: "/etc/X11/xorg.conf"
[   464.606] (==) Using system config directory "/usr/share/X11/xorg.conf.d"
[   464.607] (==) ServerLayout "Layout0"
[   464.607] (**) |-->Screen "Screen0" (0)
[   464.607] (**) |   |-->Monitor "Monitor0"
[   464.607] (**) |   |-->Device "Device0"
[   464.607] (**) |-->Input Device "Keyboard0"
[   464.607] (**) |-->Input Device "Mouse0"
[   464.607] (==) Automatically adding devices
[   464.607] (==) Automatically enabling devices
[   464.607] (==) Automatically adding GPU devices
[   464.607] (==) Automatically binding GPU devices
[   464.607] (==) Max clients allowed: 256, resource mask: 0x1fffff
[   464.607] (WW) The directory "/usr/share/fonts/X11/cyrillic" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/100dpi/" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/75dpi/" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/Type1" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/100dpi" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (WW) The directory "/usr/share/fonts/X11/75dpi" does not exist.
[   464.607]    Entry deleted from font path.
[   464.607] (==) FontPath set to:
    /usr/share/fonts/X11/misc,
    built-ins
[   464.607] (==) ModulePath set to "/usr/lib/xorg/modules"
[   464.607] (WW) Hotplugging is on, devices using drivers 'kbd', 'mouse' or 'vmmouse' will be disabled.
[   464.607] (WW) Disabling Keyboard0
[   464.607] (WW) Disabling Mouse0
[   464.607] (II) Loader magic: 0x556eb77b8020
[   464.607] (II) Module ABI versions:
[   464.607]    X.Org ANSI C Emulation: 0.4
[   464.607]    X.Org Video Driver: 23.0
[   464.607]    X.Org XInput driver : 24.1
[   464.607]    X.Org Server Extension : 10.0
[   464.607] (EE) dbus-core: error connecting to system bus: org.freedesktop.DBus.Error.FileNotFound (Failed to connect to socket /var/run/dbus/system_bus_socket: No such file or directory)
[   464.609] (--) PCI: (0:0:4:0) 10de:1eb8:10de:12a2 rev 161, Mem @ 0xc0000000/16777216, 0x380000000/268435456, 0x390000000/33554432
[   464.609] (II) no primary bus or device found
[   464.609] (II) LoadModule: "glx"
[   464.609] (II) Loading /usr/lib/xorg/modules/extensions/libglx.so
[   464.610] (II) Module glx: vendor="X.Org Foundation"
[   464.610]    compiled for 1.19.6, module version = 1.0.0
[   464.610]    ABI class: X.Org Server Extension, version 10.0
[   464.610] (II) LoadModule: "nvidia"
[   464.610] (II) Loading /usr/lib/xorg/modules/drivers/nvidia_drv.so
[   464.610] (II) Module nvidia: vendor="NVIDIA Corporation"
[   464.610]    compiled for 4.0.2, module version = 1.0.0
[   464.610]    Module class: X.Org Video Driver
[   464.610] (II) NVIDIA dlloader X Driver  418.67  Sat Apr  6 02:51:17 CDT 2019
[   464.610] (II) NVIDIA Unified Driver for all Supported NVIDIA GPUs
[   464.610] xf86EnableIOPorts: failed to set IOPL for I/O (Operation not permitted)
[   464.610] (II) Loading sub module "fb"
[   464.610] (II) LoadModule: "fb"
[   464.611] (II) Loading /usr/lib/xorg/modules/libfb.so
[   464.611] (II) Module fb: vendor="X.Org Foundation"
[   464.611]    compiled for 1.19.6, module version = 1.0.0
[   464.611]    ABI class: X.Org ANSI C Emulation, version 0.4
[   464.611] (II) Loading sub module "wfb"
[   464.611] (II) LoadModule: "wfb"
[   464.611] (II) Loading /usr/lib/xorg/modules/libwfb.so
[   464.611] (II) Module wfb: vendor="X.Org Foundation"
[   464.611]    compiled for 1.19.6, module version = 1.0.0
[   464.611]    ABI class: X.Org ANSI C Emulation, version 0.4
[   464.611] (II) Loading sub module "ramdac"
[   464.611] (II) LoadModule: "ramdac"
[   464.611] (II) Module "ramdac" already built-in
[   464.637] (EE) NVIDIA: Failed to initialize the NVIDIA kernel module. Please see the
[   464.637] (EE) NVIDIA:     system's kernel log for additional error messages and
[   464.637] (EE) NVIDIA:     consult the NVIDIA README for details.
[   464.662] (EE) NVIDIA: Failed to initialize the NVIDIA kernel module. Please see the
[   464.662] (EE) NVIDIA:     system's kernel log for additional error messages and
[   464.662] (EE) NVIDIA:     consult the NVIDIA README for details.
[   464.662] (EE) No devices detected.
[   464.662] (==) Matched modesetting as autoconfigured driver 0
[   464.662] (==) Matched fbdev as autoconfigured driver 1
[   464.662] (==) Matched vesa as autoconfigured driver 2
[   464.662] (==) Assigned the driver to the xf86ConfigLayout
[   464.662] (II) LoadModule: "modesetting"
[   464.662] (II) Loading /usr/lib/xorg/modules/drivers/modesetting_drv.so
[   464.663] (II) Module modesetting: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.6, module version = 1.19.6
[   464.663]    Module class: X.Org Video Driver
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.663] (II) LoadModule: "fbdev"
[   464.663] (II) Loading /usr/lib/xorg/modules/drivers/fbdev_drv.so
[   464.663] (II) Module fbdev: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.3, module version = 0.4.4
[   464.663]    Module class: X.Org Video Driver
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.663] (II) LoadModule: "vesa"
[   464.663] (II) Loading /usr/lib/xorg/modules/drivers/vesa_drv.so
[   464.663] (II) Module vesa: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.3, module version = 2.3.4
[   464.663]    Module class: X.Org Video Driver
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.663] (II) NVIDIA dlloader X Driver  418.67  Sat Apr  6 02:51:17 CDT 2019
[   464.663] (II) NVIDIA Unified Driver for all Supported NVIDIA GPUs
[   464.663] (II) modesetting: Driver for Modesetting Kernel Drivers: kms
[   464.663] (II) FBDEV: driver for framebuffer: fbdev
[   464.663] (II) VESA: driver for VESA chipsets: vesa
[   464.663] xf86EnableIOPorts: failed to set IOPL for I/O (Operation not permitted)
[   464.663] (EE) open /dev/dri/card0: No such file or directory
[   464.663] (WW) Falling back to old probe method for modesetting
[   464.663] (EE) open /dev/dri/card0: No such file or directory
[   464.663] (WW) Falling back to old probe method for fbdev
[   464.663] (II) Loading sub module "fbdevhw"
[   464.663] (II) LoadModule: "fbdevhw"
[   464.663] (II) Loading /usr/lib/xorg/modules/libfbdevhw.so
[   464.663] (II) Module fbdevhw: vendor="X.Org Foundation"
[   464.663]    compiled for 1.19.6, module version = 0.0.2
[   464.663]    ABI class: X.Org Video Driver, version 23.0
[   464.664] (EE) open /dev/fb0: No such file or directory
[   464.664] (WW) Falling back to old probe method for vesa
[   464.664] (WW) VGA arbiter: cannot open kernel arbiter, no multi-card support
[   464.664] (EE) Screen 0 deleted because of no matching config section.
[   464.664] (II) UnloadModule: "modesetting"
[   464.664] (EE) Device(s) detected, but none match those in the config file.
[   464.664] (EE) 
Fatal server error:
[   464.664] (EE) no screens found(EE) 
[   464.664] (EE) 
Please consult the The X.Org Foundation support 
     at http://wiki.x.org
 for help. 
[   464.664] (EE) Please also check the log file at "/var/log/Xorg.0.log" for additional information.
[   464.664] (EE) 
[   464.664] (EE) Server terminated with error (1). Closing log file.



  


  I am using this github repo to setup the video-streamer

  


  If anyone wants the colab notebook for the example then I will add it over here.

  


  For this problem I am really not sure where to file an issue for this so that's why I am writing this here.