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• How can I convert a video raw frame to image using ffmpeg [closed]

  8 mai 2024, par Sean

  I have a video stream (from a DJI Drone) coming to a websocket server.The websocket server saves the data using the technique described in this answer.

  


  Technical Details

  


  ---

  


  The frame is :

  


  

  • From a H265 video generated by the drone

  


  • has size : height 1080 , width 1440

  


  • FPS : 30

  


  • Size : 45235

  


  


  This is the raw video data as we receive from the getData() function of the video frame returned by the addStreamDataListener method

  


  Goal

  


  ---

  


  I want that the saved frame (I have noted the peculiar size) to be converted to ffpmeg.

  


  Attempt(s) to solve

  


  ---

  


  I have tried :

  


  ffmpeg -f rawvideo -s 720x480 -i images/fileName1715180324575.dat output.jpg


  


  as well as

  


  ffmpeg -f rawvideo -pix_fmt rgb24 -s 1080x1440 -i images/fileName1715180324575.dat output.jpg


  


  and various other combinations

  


  Error

  


  ---

  


  I get :

  


  ffmpeg version n6.1.1 Copyright (c) 2000-2023 the FFmpeg developers


built with gcc 13.2.1 (GCC) 20230801
  configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-frei0r --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libdav1d --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libharfbuzz --enable-libiec61883 --enable-libjack --enable-libjxl --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libplacebo --enable-libpulse --enable-librav1e --enable-librsvg --enable-librubberband --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpl --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-opencl --enable-opengl --enable-shared --enable-vapoursynth --enable-version3 --enable-vulkan
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
[rawvideo @ 0x5d0fc4e5f600] Packet corrupt (stream = 0, dts = 0).
[rawvideo @ 0x5d0fc4e5f600] Estimating duration from bitrate, this may be inaccurate
Input #0, rawvideo, from 'images/fileName1715180324575.dat':
  Duration: N/A, start: 0.000000, bitrate: 933120 kb/s
  Stream #0:0: Video: rawvideo (RGB[24] / 0x18424752), rgb24, 1080x1440, 933120 kb/s, 25 tbr, 25 tbn
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[in#0/rawvideo @ 0x5d0fc4e5f500] corrupt input packet in stream 0
[rawvideo @ 0x5d0fc4e697c0] Invalid buffer size, packet size 45235 < expected frame_size 4665600
[vist#0:0/rawvideo @ 0x5d0fc4e69640] Error submitting packet to decoder: Invalid argument
[swscaler @ 0x5d0fc4e86580] deprecated pixel format used, make sure you did set range correctly
[vost#0:0/mjpeg @ 0x5d0fc4e6c6c0] No filtered frames for output stream, trying to initialize anyway.
Output #0, image2, to 'output.jpg':
  Metadata:
    encoder         : Lavf60.16.100
  Stream #0:0: Video: mjpeg, yuvj444p(pc, progressive), 1080x1440, q=2-31, 200 kb/s, 25 fps, 25 tbn
    Metadata:
      encoder         : Lavc60.31.102 mjpeg
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A
[vist#0:0/rawvideo @ 0x5d0fc4e69640] Decode error rate 1 exceeds maximum 0.666667
[out#0/image2 @ 0x5d0fc4e69380] video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
[out#0/image2 @ 0x5d0fc4e69380] Output file is empty, nothing was encoded(check -ss / -t / -frames parameters if used)
frame=    0 fps=0.0 q=0.0 Lsize=N/A time=N/A bitrate=N/A speed=N/A    
Conversion failed!


  


  or

  


  ffmpeg version n6.1.1 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13.2.1 (GCC) 20230801
  configuration: --prefix=/usr --disable-debug --disable-static --disable-stripping --enable-amf --enable-avisynth --enable-cuda-llvm --enable-lto --enable-fontconfig --enable-frei0r --enable-gmp --enable-gnutls --enable-gpl --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libdav1d --enable-libdrm --enable-libfreetype --enable-libfribidi --enable-libgsm --enable-libharfbuzz --enable-libiec61883 --enable-libjack --enable-libjxl --enable-libmodplug --enable-libmp3lame --enable-libopencore_amrnb --enable-libopencore_amrwb --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libplacebo --enable-libpulse --enable-librav1e --enable-librsvg --enable-librubberband --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libv4l2 --enable-libvidstab --enable-libvmaf --enable-libvorbis --enable-libvpl --enable-libvpx --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxcb --enable-libxml2 --enable-libxvid --enable-libzimg --enable-nvdec --enable-nvenc --enable-opencl --enable-opengl --enable-shared --enable-vapoursynth --enable-version3 --enable-vulkan
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
[rawvideo @ 0x5a4c0b8685c0] Packet corrupt (stream = 0, dts = 0).
[rawvideo @ 0x5a4c0b8685c0] Estimating duration from bitrate, this may be inaccurate
Input #0, rawvideo, from 'images/fileName1715180324575.dat':
  Duration: N/A, start: 0.000000, bitrate: 103680 kb/s
  Stream #0:0: Video: rawvideo (I420 / 0x30323449), yuv420p, 720x480, 103680 kb/s, 25 tbr, 25 tbn
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> mjpeg (native))
Press [q] to stop, [?] for help
[in#0/rawvideo @ 0x5a4c0b8684c0] corrupt input packet in stream 0
[rawvideo @ 0x5a4c0b872700] Invalid buffer size, packet size 45235 < expected frame_size 518400
[vist#0:0/rawvideo @ 0x5a4c0b872580] Error submitting packet to decoder: Invalid argument
[swscaler @ 0x5a4c0b88f480] deprecated pixel format used, make sure you did set range correctly
[vost#0:0/mjpeg @ 0x5a4c0b875600] No filtered frames for output stream, trying to initialize anyway.
Output #0, image2, to 'output.jpg':
  Metadata:
    encoder         : Lavf60.16.100
  Stream #0:0: Video: mjpeg, yuvj420p(pc, progressive), 720x480, q=2-31, 200 kb/s, 25 fps, 25 tbn
    Metadata:
      encoder         : Lavc60.31.102 mjpeg
    Side data:
      cpb: bitrate max/min/avg: 0/0/200000 buffer size: 0 vbv_delay: N/A
[vist#0:0/rawvideo @ 0x5a4c0b872580] Decode error rate 1 exceeds maximum 0.666667
[out#0/image2 @ 0x5a4c0b8722c0] video:0kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: unknown
[out#0/image2 @ 0x5a4c0b8722c0] Output file is empty, nothing was encoded(check -ss / -t / -frames parameters if used)
frame=    0 fps=0.0 q=0.0 Lsize=N/A time=N/A bitrate=N/A speed=N/A    
Conversion failed!


  


  or similar errors.

  


  Question

  


  ---

  


  How can I extract the image from a video frame using ffmpeg ? Thank you

  


  A sample of the image file may be found here : github

  


• CRO Program : Best Practices and KPIs to Track [2024]

  8 mai 2024, par Erin

  Driving traffic to your website is only one part of the equation ; the second part is getting those visitors to convert by completing a desired action — creating an account, signing up for a newsletter or completing a purchase. 

  But if you fail to optimise your website for conversions, you’ll have a hard time guiding visitors further down the funnel and turning them into customers.

  That’s where a CRO program (or conversion rate optimisation) can help. 

  This article will cover conversion rate optimisation best practices and outline key metrics and KPIs to start tracking to see an improvement in your conversion rates.

  What is a CRO program ? 

  In the simplest terms, a CRO program — also called a CRO plan — is a digital marketing strategy. It focuses on implementing different tactics that can lead to an increase in conversion rate and maximising revenue. 

  

  One thing to remember is that the definition of “conversion” varies from business to business. The most obvious type of conversion would be a financial transaction or a completed form — but it comes down to what you consider a valuable action. 

  Many different actions can count as conversions, depending on your marketing goals. 

  Besides making a purchase, other common examples of key conversion moments include creating a new account, signing up for a free trial, booking a demo and subscribing to an email newsletter. 

  Another thing worth noting is that while the average conversion rate on e-commerce websites is 3.76%, it might fluctuate across different industries and device types. Case in point — desktop devices have higher conversion rates than mobile devices, clocking in at 4.79% and 3.32%, respectively. 

  So, in addition to defining your key conversion moments, you should also go over conversion insights relevant to your specific industry. 

  

  The importance of conversion rate optimisation 

  You’d be right to assume that the ultimate goal of a conversion rate optimisation process is to drive revenue through higher conversion rates — but don’t focus solely on the numbers. The core principle of a CRO program is improving the customer experience. Once you’ve achieved that, the increase in conversion rate will follow. 

  

  According to a recent report, global conversion rate optimisation (CRO) software sales are expected to reach $3.7 billion by 2032 — up from $1.1 billion in 2021. 

  This growth indicates the increasing interest in strategies and tools that can help optimise the conversion funnel. Businesses are looking for ways to keep potential customers engaged and improve the average conversion rate — without necessarily increasing their spending. 

  Here are a few reasons why a CRO program deserves a spot in your broader digital marketing strategies : 

  • It can lower your cost per acquisition (CPA) : A CRO program is about optimising your conversion funnel by leveraging existing assets and website traffic rather than increasing your spending — which lowers the costs of acquiring new customers and, in turn, drives ROI. 
  • It can maximise customer lifetime value (CLV) : If you can turn one-time buyers into repeat customers, you’ll be one step closer to building a loyal user base and increasing your CLV. 
  • It can lead to increased sales and boost your revenue : Higher conversion rates typically mean higher revenue ; that’s arguably the most obvious benefit of implementing a CRO program. 
  • It improves the overall user experience : The goal is to make your site more accessible, easier to navigate and more engaging. Delivering the experience people want — and expect — when navigating your website is one of the core principles of a CRO program.
  • It helps you to get to know your customers better : You can’t meet your customers’ needs without taking the time to know them, create user personas and understand their preferences, pain points and conversion barriers they may be facing. 

  Conversion optimisation gives you a competitive edge in revenue and brand reputation. 

  5 CRO best practices 

  

  Here are five conversion rate optimisation strategies and best practices that can make a real difference in the customer experience — and drive potential conversions. 

  Create a CRO roadmap in advance 

  First and foremost, you’ll need a well-defined “game plan” that aligns with and reflects your conversion goals. 

  A CRO roadmap is a detailed manual that outlines how to implement different elements of your CRO-related efforts. Marketing teams can refer to this step-by-step framework for test planning, prioritisation and resource allocation while optimising their marketing strategy. 

  While conversion rate optimisation can be a complex process — especially when you don’t know what to tackle first — we’ve found that there are three things you need to consider when setting the foundations of a successful CRO program : 

  • The “why” behind your website traffic : You’re likely using different online marketing strategies — from SEO to pay-per-click (PPC). So, it’s best to start by gathering channel-specific conversion insights through marketing attribution. Then identify which of these efforts have the biggest impact on your target audience. 
  • The so-called “conversion blockers” that tell you where and why visitors tend to leave without completing a desired action : Funnel analysis might reveal problematic pages — drop-off points where you tend to lose most of your visitors. 
  • Your “hooks” : User feedback can be of great help here ; you can learn a lot by simply asking your customers to fill out a quick online survey and tell you what motivated them to take action.

  Before working on that “game plan,” perform a pre-test analysis. 

  Matomo combines web analytics and user behaviour analytics with features like Heatmaps, Session Recordings, Form Analytics, Funnel Analytics, A/B Testing and User Flow. It can give you those initial benchmarks for measuring progress and a potential increase in conversion rate. 

  Validate your ideas with A/B and multivariate testing 

  Conversion rate optimisation is an iterative process. So, it shouldn’t come as a surprise that A/B testing variants of page layouts, CTAs, headlines, copy and other elements is a big part of it.

  Multivariate and A/B testing allows you to test a wide range of elements across your site and identify what works — and, more importantly, what doesn’t — in terms of driving conversions.

  On that note, Matomo’s A/B Testing feature can support your conversion rate optimisation process by identifying variants that perform better based on statistical significance. 

  Try Matomo for Free

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

  Start for free

  No credit card required

  Get to know your website visitors 

  Driving conversions comes down to understanding potential customer’s pain points and needs — and delivering an experience that positions you as the solution and gets them to take action. 

  Here are a few things that can help you understand your website visitors better : 

  • Collecting customer feedback through surveys and using it to identify main areas for improvement 
  • Creating detailed customer personas and optimising your website design and messaging based on your target audience’s pain points, needs and wants 
  • Using heatmaps — colour-coded data visualisation tools that illustrate user interactions — and scroll maps to get a comprehensive overview of online sessions and identify the most engaging elements and those that stand out as potential conversion barriers 

  Matomo’s Heatmaps can help you identify the most-clicked elements on the page and show how far users scroll — providing powerful user insights you can use to optimise these pages.

  Try Matomo for Free

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

  Start for free

  No credit card required

  Remove friction points 

  As we previously discussed, identifying friction points and barriers to conversion — issues that prevent visitors from converting — is one of the crucial aspects of developing a CRO plan. 

  Many different “conversion blockers” are worth looking into, including : 

  • Lengthy or otherwise complex checkout processes 
  • No guest checkout feature 
  • Device type, browser and OS compatibility issues 
  • Slow site speed and other technical issues
  • Lack of free shipping and limited payment methods 
  • Absence of social proof (customer reviews and testimonials) and trust badges

  Once you’ve identified what’s slowing down or completely discouraging users from reaching key conversion moments, take the time to address it. 

  Switch to text-based CTAs 

  Calls-to-action (CTAs) play a crucial role in guiding customers from interest to action. However, sometimes they fail to do their job — encouraging website visitors to proceed to the next step — effectively. 

  The most obvious reason is that your CTAs aren’t visually engaging or clear enough. In that case, you can try using action-oriented language and stronger visual elements and aligning the CTA copy with the context of the page. 

  But more often than not, the issue comes down to a phenomenon called “banner blindness” — the tendency of website visitors to ignore (either intentionally or unintentionally) elements on a page that resemble banner ads. 

  And if that’s what’s preventing visitors from converting, consider switching to text-based CTAs. 

  Conversion rate optimisation metrics and KPIs 

  At this point, you should know the outcomes you hope to achieve. Your next step should be to figure out how you’re going to measure and analyse results — and identify the changes that made the most impact on your conversion funnel. 

  After all, your CRO action plan should be based on data — assumptions and “gut feelings” will rarely lead to a notable increase in conversion rates. 

  

  That brings us to key performance indicators (KPIs) : 

  Tracking CRO metrics and website KPIs can help you understand the customer’s journey and path to purchase, identify opportunities for improving the user experience (UX) and determine how to optimise conversions.

  That said, you shouldn’t try to track every metric in the book ; think about your ultimate goal and identify the metrics and KPIs most relevant to your business. 

  We’ll assume that you’re already tracking macro- and micro-conversions. However, we’ve outlined a few additional key conversion rate optimisation metrics you should keep an eye on to make sure that your CRO program is performing as intended : 

  • Cost-per-conversion : By measuring how much you spend on each successful conversion — again, completed forms, sign-ups and sales all count as key conversion moments — you’ll be in a better position to assess the cost-effectiveness of your online marketing strategies.
  • Starter rate : This metric tells you the number of people who start filling out the form, after seeing it. This metric is particularly important for companies that rely on getting leads from forms. 
  • Average order value (AOV) : This metric is important for e-commerce sites to understand the value of their transactions. AOV calculates the average monetary value of each order.

  That’s not all ; you can also use a web analytics tool like Matomo to gain granular insights into visitors : 

  • Unique, new and returning visitors : Tracking the number of new and returning visitors your website gets within a given timeframe will help you understand your user base and determine if your content resonates with them. While you want a constant stream of new traffic, don’t overlook the importance of returning visitors ; they’re the foundation of a loyal customer base.
  • User flows : By analysing the user flows, you’ll have a visual representation of how visitors use your website, which will help you understand their journey and the specific path they take. 
  • Bounce rate : This metric tells you how many users viewed a single page on your site and ended up leaving before they took any kind of action. As such, it’s a clear indicator of how good your content, CTAs and website layout are at keeping users engaged.
  • Exit rate : Another key metric to track is the exit rate — the percentage of users who drop off at a specific page. High-exit pages usually lack important information and CTAs, cause frustration or otherwise fail to meet users’ expectations. Keep in mind that there’s a difference between bounce rate and exit rate — the latter involves users who viewed at least one other page. 

  There are many other user engagement metrics you should keep an eye on in addition to the ones mentioned above — including time on-page, actions per visit, scroll depth and traffic source. You’ll find all this information — and more — in Matomo’s Page Analytics Report. 

  Conclusion 

  Implementing a CRO program can be a time-consuming and iterative process. However, it’s vital for guiding your marketing efforts and making data-driven decisions that’ll ultimately help you drive growth and reach your business goals. 

  It’s best to start by identifying where your website visitors come from and what contributes to — or prevents them from — taking further action. But that’s easier said than done. You’ll need to leverage web analytics tools like Matomo to gather powerful user insights and monitor your website’s performance. 

  As an all-in-one, privacy-friendly web analytics solution, Matomo combines traditional web analytics and advanced behavioural analytics — delivering a consistent experience based on 100% accurate, unsampled data.

  Join the 1 million websites that have chosen Matomo as their web analytics platform. Start your 21-day free trial today — and see how Matomo can help you improve your website’s conversion rates. No credit card required.

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• How to convert some .avif images to video with ffmpeg ?

  15 mars 2023, par tousang

  I have some avif images in one dir.
How to convert some .avif images to video with ffmpeg ?

  


  by read ffmpeg doc, i run such cmd in shell :

  


  ffmpeg -framerate 10 -pattern_type glob -i *.avif -c:v libx264 -pix_fmt yuv420p out.mp4


  


  but only get some error :

  


  ffmpeg version N-109896-g156ca86569 Copyright (c) 2000-2023 the FFmpeg developers
  built with Apple clang version 14.0.0 (clang-1400.0.29.202)
  configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/HEAD-156ca86_1 --enable-shared --cc=clang --host-cflags= --host-ldflags= --enable-gpl --enable-libaom --enable-libdav1d --enable-libmp3lame --enable-libopus --enable-libsnappy --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-demuxer=dash --enable-opencl --enable-audiotoolbox --enable-videotoolbox --enable-neon --disable-htmlpages --enable-libfdk-aac --enable-libsvtav1 --enable-nonfree
  libavutil      58.  3.100 / 58.  3.100
  libavcodec     60.  4.100 / 60.  4.100
  libavformat    60.  4.100 / 60.  4.100
  libavdevice    60.  2.100 / 60.  2.100
  libavfilter     9.  4.100 /  9.  4.100
  libswscale      7.  2.100 /  7.  2.100
  libswresample   4. 11.100 /  4. 11.100
  libpostproc    57.  2.100 / 57.  2.100
Option framerate not found.


  


  then i del framerate in cmd , but still error :

  


  ➜  out git:(main) ✗ ffmpeg  -pattern_type glob -i *.avif -c:v libx264 -pix_fmt yuv420p out.mp4
ffmpeg version N-110014-ga6e9d01f88 Copyright (c) 2000-2023 the FFmpeg developers
  built with Apple clang version 14.0.0 (clang-1400.0.29.202)
  configuration: --prefix=/opt/homebrew/Cellar/ffmpeg/HEAD-a6e9d01 --enable-shared --cc=clang --host-cflags= --host-ldflags= --enable-gpl --enable-libaom --enable-libdav1d --enable-libmp3lame --enable-libopus --enable-libsnappy --enable-libtheora --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libfontconfig --enable-libfreetype --enable-frei0r --enable-libass --enable-demuxer=dash --enable-opencl --enable-audiotoolbox --enable-videotoolbox --enable-neon --disable-htmlpages --enable-libfdk-aac --enable-libsvtav1 --enable-nonfree
  libavutil      58.  3.100 / 58.  3.100
  libavcodec     60.  6.101 / 60.  6.101
  libavformat    60.  4.100 / 60.  4.100
  libavdevice    60.  2.100 / 60.  2.100
  libavfilter     9.  4.100 /  9.  4.100
  libswscale      7.  2.100 /  7.  2.100
  libswresample   4. 11.100 /  4. 11.100
  libpostproc    57.  2.100 / 57.  2.100
Option pattern_type not found.


  


  my ffmpeg can convert png image to avif , i wonder if there have some ways to convert some avif images to a mp4 video.

  


  thanks.