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• How to Conduct a Customer Journey Analysis (Step-by-Step)

  9 mai 2024, par Erin

  Your customers are everything.

  Treat them right, and you can generate recurring revenue for years. Treat them wrong ; you’ll be spinning your wheels and dealing with churn.

  How do you give your customers the best experience possible so they want to stick around ?

  Improve their customer experience.

  How ?

  By conducting a customer journey analysis.

  When you know how your customers experience your business, you can improve it to meet and exceed customer expectations.

  In this guide, we’ll break down how the customer journey works and give you a step-by-step guide to conduct a thorough customer journey analysis so you can grow your brand.

  What is a customer journey analysis ?

  Every customer you’ve ever served went on a journey to find you.

  From the moment they first heard of you, to the point that they became a customer. 

  Everything in between is the customer journey.

  A customer journey analysis is how you track and analyse how your customers use different channels to interact with your brand.

  

  Analysing your customer journey involves identifying the customer’s different touchpoints with your business so you can understand how it impacts their experience. 

  This means looking at every moment they interacted with your brand before, during and after a sale to help you gain actionable insights into their experience and improve it to reach your business objectives.

  Your customers go through specific customer touchpoints you can track. By analysing this customer journey from a bird’s eye view, you can get a clear picture of the entire customer experience.

  4 benefits of customer journey analysis

  Before we dive into the different steps involved in a customer journey analysis, let’s talk about why it’s vital to analyse the customer journey.

  By regularly analysing your customer journey, you’ll be able to improve the entire customer experience with practical insights, allowing you to :

  Understand your customers better

  What’s one key trait all successful businesses have ?

  They understand their customers.

  By analysing your customer journey regularly, you’ll gain new insights into their wants, needs, desires and behaviours, allowing you to serve them better. These insights will show you what led them to buy a product (or not).

  For example, through conducting a customer journey analysis, a company might find out that customers who come from LinkedIn are more likely to buy than those coming from Facebook.

  Find flaws in your customer journey

  Nobody wants to hear they have flaws. But the reality is your customer journey likely has a few flaws you could improve.

  By conducting customer journey analysis consistently, you’ll be able to pinpoint precisely where you’re losing prospects along the way. 

  For example, you may discover you’re losing customers through Facebook Ads. Or you may find your email strategy isn’t as good as it used to be.

  But it’s not just about the channel. It could be a transition between two channels. For example, you may have great engagement on Instagram but are not converting them into email subscribers. The issue may be that your transition between the two channels has a leak.

  Or you may find that prospects using certain devices (i.e., mobile, tablet, desktop) have lower conversions. This might be due to design and formatting issues across different devices.

  By looking closely at your customer journey and the different customer touchpoints, you’ll see issues preventing prospects from turning into leads or customers from returning to buy again as loyal customers.

  Gain insights into how you can improve your brand

  Your customer journey analysis won’t leave you with a list of problems. Instead, you’ll have a list of opportunities.

  Since you’ll be able to better understand your customers and where they’re falling off the sales funnel, you’ll have new insights into how you can improve the experience and grow your brand.

  For example, maybe you notice that your visitors are getting stuck at one stage of the customer journey and you’re trying to find out why.

  So, you leverage Matomo’s heatmaps, sessions recordings and scroll depth to find out more.

  In the case below, we can see that Matomo’s scroll map is showing that only 65% of the visitors are reaching the main call to action (to write a review). 

  

  To try to push for higher conversions and get more reviews, we could consider moving that button higher up on the page, ideally above the fold.

  Rather than guessing what’s preventing conversions, you can use user behaviour analytics to “step in our user’s shoes” so you can optimise faster and with confidence.

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  Grow your revenue

  By taking charge of your customer journey, you can implement different strategies that will help you increase your reach, gain more prospects, convert more prospects into customers and turn regulars into loyal customers.

  Using customer journey analysis will help you optimise those different touchpoints to maximise the ROI of your channels and get the most out of each marketing activity you implement.

  7 steps to conduct a customer journey analysis

  Now that you know the importance of conducting a customer journey analysis regularly, let’s dive into how to implement an analysis.

  Here are the seven steps you can take to analyse the customer journey to improve your customer experience :

  

  1. Map out your customer journey

  Your first step to conducting an effective customer journey analysis is to map your entire customer journey.

  Customer journey mapping means looking at several factors :

  • Buying process
  • Customer actions
  • Buying emotions
  • Buying pain points
  • Solutions

  Once you have an overview of your customer journey maps, you’ll gain insights into your customers, their interests and how they interact with your brand. 

  After this, it’s time to dive into the touchpoints.

  2. Identify all the customer touchpoints 

  To improve your customer journey, you need to know every touchpoint a customer can (and does) make with your brand.

  This means taking note of every single channel and medium they use to communicate with your brand :

  • Website
  • Social media
  • Search engines (SEO)
  • Email marketing
  • Paid advertising
  • And more

  Essentially, anywhere you communicate and interact with your customers is fair game to analyse.

  If you want to analyse your entire sales funnel, you can try Matomo, a privacy-friendly web analytics tool. 

  You should make sure to split up your touchpoints into different customer journey stages :

  • Awareness
  • Consideration
  • Conversion
  • Advocacy

  Then, it’s time to move on to how customers interact on these channels.

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  3. Measure how customers interact on each channel

  To understand the customer journey, you can’t just know where your customers interact with you. You end up learning how they’re interacting.

  This is only possible by measuring customer interactions.

  How ?

  By using a web analytics tool like Matomo.

  With Matomo, you can track every customer action on your website.

  This means anytime they :

  • Visit your website
  • View a web page
  • Click a link
  • Fill out a form
  • Purchase a product
  • View different media
  • And more

  You should analyse your engagement on your website, apps and other channels, like email and social media.

  4. Implement marketing attribution

  Now that you know where your customers are and how they interact, it’s time to analyse the effectiveness of each channel based on your conversion rates.

  Implementing marketing attribution (or multi-touch attribution) is a great way to do this.

  Attribution is how you determine which channels led to a conversion.

  While single-touch attribution models credit one channel for a conversion, marketing attribution gives credit to a few channels.

  For example, let’s say Bob is looking for a new bank. He sees an Instagram post and finds himself on HSBC’s website. After looking at a few web pages, he attends a webinar hosted by HSBC on financial planning and investment strategies. One week later, he gets an email from HSBC following up on the webinar. Then, he decides to sign up for HSBC’s online banking.

  Single touch attribution would attribute 100% of the conversion to email, which doesn’t show the whole picture. Marketing attribution would credit all channels : social media, website content, webinars and email.

  Matomo offers multiple attribution models. These models leverage different weighting factors, like time decay or linear, so that you can allocate credit to each touchpoint based on its impact.

  Matomo’s multi-touch attribution reports give you in-depth insights into how revenue is distributed across different channels. These detailed reports help you analyse each channel’s contribution to revenue generation so you can optimise the customer journey and improve business outcomes.

  Try Matomo for Free

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

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  5. Use a funnels report to find where visitors are leaving

  Once you set up your marketing attribution, it’s time to analyse where visitors are falling off.

  You can leverage Matomo funnels to find out the conversion rate at each step of the journey on your website. Funnel reports can help you see exactly where visitors are falling through the cracks so you can increase conversions.

  6. Analyse why visitors aren’t converting

  Once you can see where visitors are leaving, you can start to understand why.

  For example, let’s say you analyse your funnels report in Matomo and see your landing page is experiencing the highest level of drop-offs.

  

  You can also use form analytics to find out why users aren’t converting on your landing pages – a crucial part of the customer journey.

  7. A/B test to improve the customer journey

  The final step to improve your customer journey is to conduct A/B tests. These are tests where you test one version of a landing page to see which one converts better, drives more traffic, or generates more revenue.

  For example, you could create two versions of a header on your website and drive 50% of your traffic to each version. Then, once you’ve got your winner, you can keep that as your new landing page.

  

  Using the data from your A/B tests, you can optimise your customer journey to help convert more prospects into customers.

  Use Matomo to improve your customer journey analysis

  Now that you understand why it’s important to conduct customer journey analysis regularly and how it works, it’s time to put this into practice.

  To improve the customer journey, you need to understand what’s happening at each stage of your funnel. 

  Matomo gives you insights into your customer journey so you can improve website performance and convert more visitors into customers.

  Used by over 1 million websites, Matomo is the leading privacy-friendly web analytics solution in the world. 

  Matomo provides you with accurate, unsampled data so you understand exactly what’s going on with your website performance.

  The best part ?

  It’s easy to use and is compliant with the strictest privacy regulations.

  Try Matomo free for 21-days and start Improving your customer journey. 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

  

• Data Privacy Issues to Be Aware of and How to Overcome Them

  9 mai 2024, par Erin

  Data privacy issues are a significant concern for users globally.

  Around 76% of US consumers report that they would not buy from a company they do not trust with their data. In the European Union, a 2021 study found that around 53% of EU internet users refused to let companies access their data for advertising purposes.

  These findings send a clear message : if companies want to build consumer trust, they must honour users’ data privacy concerns. The best way to do this is by adopting transparent, ethical data collection practices — which also supports the simultaneous goal of maintaining compliance with regional data privacy acts.

  So what exactly is data privacy ?

  

  Data privacy refers to the protections that govern how personal data is collected and used, especially with respect to an individual’s control over when, where and what information they share with others.

  Data privacy also refers to the extent to which organisations and governments go to protect the personal data that they collect. Different parts of the world have different data privacy acts. These regulations outline the measures organisations must take to safeguard the data they collect from their consumers and residents. They also outline the rights of data subjects, such as the right to opt out of a data collection strategy and correct false data. 

  As more organisations rely on personal data to provide services, people have become increasingly concerned about data privacy, particularly the level of control they have over their data and what organisations and governments do with their data.

  Why should organisations take data privacy issues seriously ?

  Organisations should take data privacy seriously because consumer trust depends on it and because they have a legal obligation to do so. Doing so also helps organisations prevent threat actors from illegally accessing consumer data. Strong data privacy helps you : 

  Comply with data protection acts

  Organisations that fail to comply with regional data protection acts could face severe penalties. For example, consider the General Data Protection Regulation (GDPR), which is the primary data protection action for the European Union. The penalty system for GDPR fines consists of two tiers :

  • Less severe infringements — Which can lead to fines of up to €10 million (or 2% of an organisation’s worldwide annual revenue from the last financial year) per infringement.
  • More severe infringements — This can lead to fines of up to €20 million (or 4% of an organisation’s worldwide annual revenue from the last financial year) per infringement.

  The monetary value of these penalties is significant, so it is in the best interest of all organisations to be GDPR compliant. Other data protection acts have similar penalty systems to the GDPR. In Brazil, organisations non-compliant with the Lei Geral de Proteção de Dados Pessoais (LGPD) could be fined up to 50 million reals (USD 10 million) or 2% of their worldwide annual revenue from the last financial year.

  Improve brand reputation

  Research shows that 81% of consumers feel that how an organisation treats their data reflects how they treat them as a consumer. This means a strong correlation exists between how people perceive an organisation’s data collection practices and their other business activities.

  

  Data breaches can have a significant impact on an organisation, especially their reputation and level of consumer trust. In 2022, hackers stole customer data from the Australian private health insurance company, Medibank, and released the data onto the dark web. Optus was also affected by a cyberattack, which compromised the information of current and former customers. Following these events, a study by Nature revealed that 83 percent of Australians were concerned about the security of their data, particularly in the hands of their service providers.

  Protect consumer data

  Protecting consumer data is essential to preventing data breaches. Unfortunately, cybersecurity attacks are becoming increasingly sophisticated. In 2023 alone, organisations like T-Mobile and Sony have been compromised and their data stolen.

  One way to protect consumer data is to retain 100% data ownership. This means that no external parties can see your data. You can achieve this with the web analytics platform, Matomo. With Matomo, you can store your own data on-premises (your own servers) or in the Cloud. Under both arrangements, you retain full ownership of your data.

  Try Matomo for Free

  Get the web insights you need, while respecting user privacy.

  Start for free

  No credit card required

  What are the most pressing data privacy issues that organisations are facing today ?

  Today’s most pressing data privacy challenges organisations face are complying with new data protection acts, maintaining consumer trust, and choosing the right web analytics platform. Here is a detailed breakdown of what these challenges mean for businesses.

  Complying with new and emerging data protection laws

  Ever since the European Union introduced the GDPR in 2018, other regions have enacted similar data protection acts. In the United States, California (CCPA), Virginia (VCDPA) and Colorado have their own state-level data protection acts. Meanwhile, Brazil and China have the General Data Protection Law (LGPD) and the Personal Information Protection Law (PIPL), respectively.

  For global organisations, complying with multiple data protection acts can be tough, as each act interprets the GDPR model differently. They each have their own provisions, terminology (or different interpretations of the same terminology), and penalties.

  A web analytics platform like Matomo can help your organisation comply with the GDPR and similar data protection acts. It has a range of privacy-friendly features including data anonymisation, IP anonymisation, and first-party cookies by default. You can also create and publish custom opt-out forms and let visitors view your collected data.

  

  Today’s most pressing data privacy challenges organisations face are complying with new data protection acts, maintaining consumer trust, and choosing the right web analytics platform. Here is a detailed breakdown of what these challenges mean for businesses.

  Complying with new and emerging data protection laws

  Ever since the European Union introduced the GDPR in 2018, other regions have enacted similar data protection acts. In the United States, California (CCPA), Virginia (VCDPA) and Colorado have their own state-level data protection acts. Meanwhile, Brazil and China have the General Data Protection Law (LGPD) and the Personal Information Protection Law (PIPL), respectively.

  For global organisations, complying with multiple data protection acts can be tough, as each act interprets the GDPR model differently. They each have their own provisions, terminology (or different interpretations of the same terminology), and penalties.

  A web analytics platform like Matomo can help your organisation comply with the GDPR and similar data protection acts. It has a range of privacy-friendly features including data anonymisation, IP anonymisation, and first-party cookies by default. You can also create and publish custom opt-out forms and let visitors view your collected data.

  Try Matomo for Free

  Get the web insights you need, while respecting user privacy.

  Start for free

  No credit card required

  Maintaining consumer trust

  Building (and maintaining) consumer trust is a major hurdle for organisations. Stories about data breaches and data scandals — notably the Cambridge Analytical scandal — instil fear into the public’s hearts. After a while, people wonder, “Which company is next ?”

  One way to build and maintain trust is to be transparent about your data collection practices. Be open and honest about what data you collect (and why), where you store the data (and for how long), how you protect the data and whether you share data with third parties. 

  You should also prepare and publish your cyber incident response plan. Outline the steps you will take to contain, assess and manage a data breach.

  Choosing the right web analytics platform

  Organisations use web analytics to track and monitor web traffic, manage advertising campaigns and identify potential revenue streams. The most widely used web analytics platform is Google Analytics ; however, many users have raised concerns about privacy issues. 

  When searching for a Google Analytics alternative, consider a web analytics platform that takes data privacy seriously. Features like cookieless tracking, data anonymisation and IP anonymisation will let you track user activity without collecting personal data. Custom opt-out forms will let your web visitors enforce their data subject rights.

  What data protection acts exist right now ?

  

  As time goes on and more countries introduce their own data privacy laws, it becomes harder for organisations to adapt. Understanding the basics of each act can help streamline compliance. Here is what you need to know about the latest data protection acts.

  General Data Protection Regulation (GDPR)

  The GDPR is a data protection act created by the European Parliament and Council of the European Union. It comprises 11 chapters covering the general provisions, principles, data subject rights, penalties and other relevant information.

  The GDPR established a framework for organisations and governments to follow regarding the collection, processing, storing, transferring and deletion of personal data. Since coming into effect on 25 May 2018, other countries have used the GDPR as a model to enact similar data protection acts.

  General Data Protection Law (LGPD)

  The LGPD is Brazil’s main data protection act. The Federal Republic of Brazil signed the act on August 14, 2018, and it officially commenced on August 16, 2020. The act aimed to unify the 40 Brazilian laws that previously governed the country’s approach to processing personal data.

  Like the GDPR, the LGPD serves as a legal framework to regulate the collection and usage of personal data. It also outlines the duties of the national data protection authority, the Autoridade Nacional de Proteção de Dados (ANPD), which is responsible for enforcing the LGPD.

  Privacy Amendment (Notifiable Data Breaches) for the Privacy Act 1988

  Established by the Australian House of Representatives, the Privacy Act 1988 outlines how organisations and governments must manage personal data. The federal government has amended the Privacy Act 1988 twice — once in 2000, and again in 2014 — and is committing to a significant overhaul.

  The new proposals will make it easier for individuals to opt out of data collection, organisations will have to destroy collected data after a reasonable period, and small businesses will no longer be exempt from the Privacy Act.

  United States

  

  The United States does not have a federally mandated data protection act. Instead, each state has been gradually introducing its data protection acts, with the first being California, followed by Virginia and Colorado. Over a dozen other states are following suit, too.

  • California — The then-Governor of California Jerry Brown signed the California Consumer Privacy Act (CCPA) into law on June 28, 2018. The act applies to organisations with gross annual revenue of more than USD 25 million, and that buy or sell products and services to 100,000 or more households or consumers.
  • Virginia — The Virginia Consumer Data Protection Act (VCDPA) took effect on January 1, 2023. It applies to organisations that process (or control) the personal data of 100,000 or more consumers in a financial year. It also applies to organisations that process (or control) the personal data of 25,000 or more consumers and gain more than 50% of gross revenue by selling that data.
  • Colorado — Colorado Governor Jared Polis signed the Colorado Privacy Act (ColoPA) into law in July 2021. The act applies to organisations that process (or control) the personal data of 100,000 or more Colorado residents annually. It also applies to organisations that earn revenue from the sale of personal data of at least 25,000 Colorado residents.

  Because the US regulations are a patchwork of differing legal acts, compliance can be a complicated endeavour for organisations operating across multiple jurisdictions. 

  How can organisations comply with data protection acts ?

  One way to ensure compliance is to keep up with the latest data protection acts. But that is a very time-consuming task.

  Over 16 US states are in the process of signing new acts. And countries like China, Turkey and Australia are about to overhaul — in a big way — their own data privacy protection acts. 

  Knowledge is power. But you also have a business to run, right ? 

  That’s where Matomo comes in.

  Streamline data privacy compliance with Matomo

  Although data privacy is a major concern for individuals and companies operating in multiple parts of the world — as they must comply with new, conflicting data protection laws — it is possible to overcome the biggest data privacy issues.

  Matomo enables your visitors to take back control of their data. You can choose where you store your data on-premises and in the Cloud (EU-based). You can use various features, retain 100% data ownership, protect visitor privacy and ensure compliance.

  Try the 21-day free trial of Matomo today, start your free analytics trial. 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 : fps drop when one -map udp output unreachable [closed]

  14 mai 2024, par user25041039

  I stream a video from a raspberry pi (server) to a splitscreen of 5x5 devices (clients) through an ethernet LAN.

  


  Server

  


  On the server side, I use the following ffmpeg command that :

  


  

  1. reads a video list in loop ;

  


  2. splits it into 25 different streams ;

  


  3. maps each stream to a device through udp.

  


  


  I also have several options to minimize latency and keep the different subscreens in sync.

  


  ffmpeg -loglevel repeat+level+verbose -re -copyts -start_at_zero -rtbufsize 100000k \
    -stream_loop -1 -f concat -i stream.lst -an \
    -filter_complex "\
    [0]crop=iw/5:ih/5:0*iw/5:0*ih/5[11];
    [0]crop=iw/5:ih/5:1*iw/5:0*ih/5[12];
    [...] # truncated for readability
    [0]crop=iw/5:ih/5:4*iw/5:4*ih/5[55]" \
    -map '[11]?' -flush_packets 1 -preset ultrafast -vcodec libx264 -tune zerolatency -f mpegts "udp://100.64.0.11:1234" \
    -map '[12]?' -flush_packets 1 -preset ultrafast -vcodec libx264 -tune zerolatency -f mpegts "udp://100.64.0.12:1234" \
    [...] # truncated for readability
    -map '[55]?' -flush_packets 1 -preset ultrafast -vcodec libx264 -tune zerolatency -f mpegts "udp://100.64.0.55:1234"


  


  Clients

  


  On the client side, I use mpv to read the stream and display it. There are also options for low-latency.

  


  mpv --no-cache --force-seekable=yes --profile=low-latency --untimed --no-audio --video-rotate=90 --fs --no-config --vo=gpu --hwdec=auto udp://100.64.0.1:1234/


  


  My problem

  


  When a device is unreachable through the LAN (eg : powered down), the FPS stated by ffmpeg drops after a short period ( 10 seconds), and the stream is laggy (= some frames, then pause for 1s, ...). What I expect is the stream to go on normally, just having one of the subscreens black.

  


  Here is the full log of ffmpeg when I start the stream normally then power down one of the clients after 15s.

  


  [info] ffmpeg version 5.1.4-0+rpt3+deb12u1 Copyright (c) 2000-2023 the FFmpeg developers
[info]   built with gcc 12 (Debian 12.2.0-14)
[info]   configuration: --prefix=/usr --extra-version=0+rpt3+deb12u1 --toolchain=hardened --incdir=/usr/include/aarch64-linux-gnu --enable-gpl --disable-stripping --disable-mmal --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librist --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sand --enable-sdl2 --disable-sndio --enable-libjxl --enable-neon --enable-v4l2-request --enable-libudev --enable-epoxy --libdir=/usr/lib/aarch64-linux-gnu --arch=arm64 --enable-pocketsphinx --enable-librsvg --enable-libdc1394 --enable-libdrm --enable-vout-drm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-libplacebo --enable-librav1e --enable-shared
[info]   libavutil      57. 28.100 / 57. 28.100
[info]   libavcodec     59. 37.100 / 59. 37.100
[info]   libavformat    59. 27.100 / 59. 27.100
[info]   libavdevice    59.  7.100 / 59.  7.100
[info]   libavfilter     8. 44.100 /  8. 44.100
[info]   libswscale      6.  7.100 /  6.  7.100
[info]   libswresample   4.  7.100 /  4.  7.100
[info]   libpostproc    56.  6.100 / 56.  6.100
[h264 @ 0x5555f1407de0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[h264 @ 0x5555f140eca0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[info] Input #0, concat, from 'stream.lst':
[info]   Duration: N/A, start: 0.000000, bitrate: 47 kb/s
[info]   Stream #0:0(und): Video: h264 (Main), 1 reference frame (avc1 / 0x31637661), yuv420p(tv, bt709, progressive, left), 1920x1080 (1920x1088), 47 kb/s, 24 fps, 24 tbr, 12288 tbn
[info]     Metadata:
[info]       handler_name    : Core Media Video
[info]       vendor_id       : [0][0][0][0]
[info] Stream mapping:
[info]   Stream #0:0 (h264) -> crop:default
... truncated
[info]   Stream #0:0 (h264) -> crop:default
[info]   crop:default -> Stream #0:0 (libx264)
... truncated
[info]   crop:default -> Stream #24:0 (libx264)
[info] Press [q] to stop, [?] for help
[h264 @ 0x5555f13fe050] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[graph 0 input from stream 0:0 @ 0x5555f1dfad40] [verbose] w:1920 h:1080 pixfmt:yuv420p tb:1/12288 fr:24/1 sar:0/1
... truncated
[graph 0 input from stream 0:0 @ 0x5555f1e01a50] [verbose] w:1920 h:1080 pixfmt:yuv420p tb:1/12288 fr:24/1 sar:0/1
[Parsed_crop_24 @ 0x5555f1dfa860] [verbose] w:1920 h:1080 sar:0/1 -> w:384 h:216 sar:0/1
... truncated
[Parsed_crop_0 @ 0x5555f1df23e0] [verbose] w:1920 h:1080 sar:0/1 -> w:384 h:216 sar:0/1
[libx264 @ 0x5555f147c220] [info] using cpu capabilities: ARMv8 NEON
[libx264 @ 0x5555f147c220] [info] profile Constrained Baseline, level 1.3, 4:2:0, 8-bit
[mpegts @ 0x5555f148ab70] [verbose] service 1 using PCR in pid=256, pcr_period=83ms
[mpegts @ 0x5555f148ab70] [verbose] muxrate VBR, sdt every 500 ms, pat/pmt every 100 ms
[info] Output #0, mpegts, to 'udp://100.64.0.11:1234':
[info]   Metadata:
[info]     encoder         : Lavf59.27.100
[info]   Stream #0:0: Video: h264, 1 reference frame, yuv420p(tv, bt709, progressive, left), 384x216 (0x0), q=2-31, 24 fps, 90k tbn
[info]     Metadata:
[info]       encoder         : Lavc59.37.100 libx264
[info]     Side data:
[info]       cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
[libx264 @ 0x5555f1428760] [info] using cpu capabilities: ARMv8 NEON
[libx264 @ 0x5555f1428760] [info] profile Constrained Baseline, level 1.3, 4:2:0, 8-bit
[mpegts @ 0x5555f148b080] [verbose] service 1 using PCR in pid=256, pcr_period=83ms
[mpegts @ 0x5555f148b080] [verbose] muxrate VBR, sdt every 500 ms, pat/pmt every 100 ms

... truncated
[info] Output #24, mpegts, to 'udp://100.64.0.55:1234':
[info]   Metadata:
[info]     encoder         : Lavf59.27.100
[info]   Stream #24:0: Video: h264, 1 reference frame, yuv420p(tv, bt709, progressive, left), 384x216 (0x0), q=2-31, 24 fps, 90k tbn
[info]     Metadata:
[info]       encoder         : Lavc59.37.100 libx264
[info]     Side data:
[info]       cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
[info] frame=    1 fps=0.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 size=   [info] frame=    9 fps=0.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 size=   [info] frame=   22 fps= 21 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=   34 fps= 22 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=   46 fps= 22 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=   58 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 19517 bytes read, 0 seeks
[h264 @ 0x5555f1407de0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[info] frame=   70 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=   83 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=   95 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  107 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  119 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  132 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 19240 bytes read, 0 seeks
[h264 @ 0x5555f1407de0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[info] frame=  144 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  156 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  168 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  180 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  193 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 q=27.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  205 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 19218 bytes read, 0 seeks
[h264 @ 0x5555f1407de0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[h264 @ 0x5555f17af150] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[concat @ 0x5555f13febf0] [warning] New audio stream 0:1 at pos:68549 and DTS:8.99977s
[info] frame=  217 fps= 24 q=14.0 q=20.0 q=14.0 q=26.0 q=25.0 q=17.0 q=19.0 q=13.0 q=25.0 q=25.0 q=22.0 q=19.0 q=14.0 q=25.0 q=22.0 q=22.0 q=19.0 q=14.0 q=22.0 q=13.0 q=23.0 q=20.0 q=13.0 q=22.0 q=14.0 size=   [info] frame=  229 fps= 24 q=14.0 q=22.0 q=14.0 q=26.0 q=24.0 q=18.0 q=21.0 q=15.0 q=25.0 q=24.0 q=20.0 q=22.0 q=15.0 q=25.0 q=21.0 q=21.0 q=22.0 q=15.0 q=23.0 q=12.0 q=22.0 q=22.0 q=12.0 q=23.0 q=14.0 size=   [info] frame=  241 fps= 24 q=16.0 q=22.0 q=15.0 q=26.0 q=25.0 q=17.0 q=22.0 q=18.0 q=25.0 q=24.0 q=20.0 q=22.0 q=17.0 q=25.0 q=22.0 q=21.0 q=23.0 q=17.0 q=23.0 q=15.0 q=21.0 q=23.0 q=17.0 q=23.0 q=15.0 size=   [info] frame=  253 fps= 24 q=18.0 q=24.0 q=19.0 q=26.0 q=25.0 q=17.0 q=23.0 q=20.0 q=26.0 q=25.0 q=21.0 q=23.0 q=19.0 q=26.0 q=23.0 q=22.0 q=22.0 q=19.0 q=23.0 q=15.0 q=23.0 q=22.0 q=19.0 q=22.0 q=16.0 size=   [info] frame=  265 fps= 24 q=20.0 q=23.0 q=19.0 q=27.0 q=26.0 q=19.0 q=25.0 q=18.0 q=27.0 q=25.0 q=23.0 q=25.0 q=18.0 q=26.0 q=22.0 q=24.0 q=23.0 q=17.0 q=22.0 q=14.0 q=16.0 q=19.0 q=14.0 q=18.0 q=14.0 size=   [info] frame=  278 fps= 24 q=12.0 q=22.0 q=25.0 q=21.0 q=15.0 q=12.0 q=24.0 q=24.0 q=25.0 q=13.0 q=12.0 q=25.0 q=23.0 q=24.0 q=12.0 q=12.0 q=25.0 q=26.0 q=24.0 q=12.0 q=12.0 q=17.0 q=22.0 q=17.0 q=12.0 size=   [info] frame=  290 fps= 24 q=13.0 q=22.0 q=22.0 q=22.0 q=16.0 q=18.0 q=22.0 q=22.0 q=22.0 q=18.0 q=19.0 q=22.0 q=22.0 q=21.0 q=18.0 q=16.0 q=22.0 q=21.0 q=21.0 q=17.0 q=12.0 q=22.0 q=21.0 q=22.0 q=14.0 size=   [info] frame=  302 fps= 24 q=18.0 q=21.0 q=22.0 q=21.0 q=19.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=19.0 q=20.0 q=21.0 q=21.0 q=22.0 q=19.0 q=17.0 q=22.0 q=21.0 q=21.0 q=17.0 size=   [info] frame=  314 fps= 24 q=19.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=21.0 q=20.0 q=21.0 q=20.0 q=19.0 q=21.0 q=21.0 q=21.0 q=19.0 size=   [info] frame=  326 fps= 24 q=20.0 q=21.0 q=21.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=21.0 q=21.0 q=21.0 q=21.0 q=20.0 q=21.0 q=21.0 q=21.0 q=21.0 q=20.0 q=21.0 q=21.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 size=   [info] frame=  339 fps= 24 q=20.0 q=20.0 q=21.0 q=20.0 q=21.0 q=21.0 q=20.0 q=19.0 q=21.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=21.0 q=20.0 q=21.0 q=20.0 q=20.0 q=21.0 q=20.0 q=21.0 q=20.0 q=21.0 q=20.0 size=   [info] frame=  351 fps= 24 q=21.0 q=20.0 q=21.0 q=20.0 q=20.0 q=20.0 q=20.0 q=19.0 q=21.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=21.0 q=20.0 size=   [info] frame=  363 fps= 24 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=19.0 q=20.0 q=20.0 q=21.0 q=20.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=20.0 q=21.0 q=21.0 q=21.0 q=20.0 q=21.0 q=21.0 size=   [info] frame=  375 fps= 24 q=20.0 q=20.0 q=20.0 q=19.0 q=20.0 q=20.0 q=20.0 q=19.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=19.0 q=21.0 q=21.0 q=20.0 q=20.0 q=20.0 q=21.0 q=20.0 q=21.0 q=20.0 q=21.0 q=21.0 size=   [info] frame=  387 fps= 24 q=20.0 q=20.0 q=20.0 q=19.0 q=20.0 q=20.0 q=19.0 q=19.0 q=20.0 q=20.0 q=20.0 q=20.0 q=20.0 q=19.0 q=21.0 q=21.0 q=20.0 q=19.0 q=19.0 q=20.0 q=21.0 q=21.0 q=19.0 q=21.0 q=20.0 size=   [info] frame=  400 fps= 24 q=20.0 q=20.0 q=20.0 q=19.0 q=20.0 q=20.0 q=18.0 q=18.0 q=19.0 q=20.0 q=20.0 q=19.0 q=20.0 q=19.0 q=20.0 q=20.0 q=20.0 q=19.0 q=19.0 q=20.0 q=20.0 q=21.0 q=19.0 q=19.0 q=20.0 size=   [info] frame=  412 fps= 24 q=20.0 q=19.0 q=19.0 q=19.0 q=19.0 q=20.0 q=18.0 q=18.0 q=19.0 q=19.0 q=20.0 q=19.0 q=20.0 q=19.0 q=19.0 q=20.0 q=20.0 q=19.0 q=19.0 q=19.0 q=20.0 q=21.0 q=19.0 q=19.0 q=19.0 size=   [info] frame=  424 fps= 24 q=20.0 q=19.0 q=20.0 q=20.0 q=19.0 q=20.0 q=18.0 q=19.0 q=19.0 q=19.0 q=20.0 q=19.0 q=20.0 q=19.0 q=19.0 q=20.0 q=20.0 q=19.0 q=19.0 q=19.0 q=21.0 q=21.0 q=19.0 q=19.0 q=19.0 size=   [info] frame=  436 fps= 24 q=20.0 q=18.0 q=19.0 q=20.0 q=18.0 q=20.0 q=18.0 q=18.0 q=19.0 q=18.0 q=20.0 q=19.0 q=20.0 q=19.0 q=19.0 q=20.0 q=19.0 q=19.0 q=19.0 q=18.0 q=21.0 q=21.0 q=19.0 q=19.0 q=19.0 size=   [info] frame=  448 fps= 24 q=19.0 q=18.0 q=19.0 q=20.0 q=18.0 q=19.0 q=18.0 q=18.0 q=19.0 q=18.0 q=19.0 q=19.0 q=20.0 q=19.0 q=18.0 q=20.0 q=19.0 q=19.0 q=19.0 q=18.0 q=21.0 q=21.0 q=19.0 q=19.0 q=19.0 size=   [info] frame=  460 fps= 24 q=19.0 q=18.0 q=19.0 q=20.0 q=18.0 q=19.0 q=18.0 q=18.0 q=19.0 q=18.0 q=19.0 q=19.0 q=20.0 q=19.0 q=18.0 q=20.0 q=19.0 q=19.0 q=20.0 q=18.0 q=20.0 q=21.0 q=19.0 q=19.0 q=18.0 size=   [info] frame=  472 fps= 24 q=19.0 q=18.0 q=19.0 q=20.0 q=18.0 q=19.0 q=18.0 q=18.0 q=19.0 q=18.0 q=19.0 q=19.0 q=19.0 q=19.0 q=18.0 q=19.0 q=19.0 q=19.0 q=20.0 q=18.0 q=20.0 q=21.0 q=19.0 q=19.0 q=18.0 size=   [info] frame=  484 fps= 24 q=19.0 q=18.0 q=19.0 q=20.0 q=18.0 q=19.0 q=18.0 q=18.0 q=19.0 q=18.0 q=19.0 q=19.0 q=19.0 q=19.0 q=18.0 q=19.0 q=19.0 q=19.0 q=19.0 q=18.0 q=20.0 q=21.0 q=19.0 q=20.0 q=18.0 size=   [info] frame=  496 fps= 24 q=21.0 q=20.0 q=21.0 q=21.0 q=18.0 q=20.0 q=21.0 q=21.0 q=21.0 q=18.0 q=20.0 q=21.0 q=22.0 q=21.0 q=18.0 q=21.0 q=21.0 q=21.0 q=21.0 q=18.0 q=21.0 q=21.0 q=21.0 q=20.0 q=19.0 size=   [info] frame=  509 fps= 24 q=21.0 q=20.0 q=22.0 q=21.0 q=17.0 q=21.0 q=22.0 q=22.0 q=22.0 q=18.0 q=20.0 q=22.0 q=22.0 q=22.0 q=17.0 q=21.0 q=22.0 q=22.0 q=22.0 q=18.0 q=21.0 q=22.0 q=22.0 q=20.0 q=18.0 size=   [info] frame=  521 fps= 24 q=20.0 q=21.0 q=22.0 q=21.0 q=17.0 q=21.0 q=22.0 q=23.0 q=22.0 q=17.0 q=20.0 q=22.0 q=23.0 q=22.0 q=17.0 q=21.0 q=22.0 q=22.0 q=22.0 q=17.0 q=21.0 q=22.0 q=22.0 q=21.0 q=18.0 size=   [info] frame=  533 fps= 24 q=20.0 q=20.0 q=22.0 q=21.0 q=15.0 q=20.0 q=22.0 q=23.0 q=22.0 q=16.0 q=19.0 q=22.0 q=23.0 q=22.0 q=16.0 q=21.0 q=22.0 q=22.0 q=22.0 q=16.0 q=21.0 q=22.0 q=22.0 q=21.0 q=17.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 3205712 bytes read, 2 seeks
[h264 @ 0x5555f1df2c00] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[h264 @ 0x5555f1949030] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[info] frame=  546 fps= 24 q=16.0 q=17.0 q=18.0 q=18.0 q=13.0 q=17.0 q=18.0 q=18.0 q=18.0 q=13.0 q=16.0 q=18.0 q=19.0 q=18.0 q=14.0 q=17.0 q=19.0 q=18.0 q=18.0 q=14.0 q=18.0 q=19.0 q=18.0 q=18.0 q=14.0 size=   [info] frame=  558 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=14.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  570 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  582 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  594 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  606 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  618 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  631 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  643 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  655 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 120365 bytes read, 2 seeks
[h264 @ 0x5555f1df2c00] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[h264 @ 0x5555f1949030] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[info] frame=  667 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  679 fps= 24 q=20.0 q=12.0 q=12.0 q=12.0 q=12.0 q=20.0 q=12.0 q=25.0 q=12.0 q=12.0 q=21.0 q=20.0 q=24.0 q=12.0 q=12.0 q=20.0 q=19.0 q=22.0 q=13.0 q=13.0 q=13.0 q=14.0 q=17.0 q=12.0 q=12.0 size=   [info] frame=  691 fps= 24 q=17.0 q=12.0 q=21.0 q=12.0 q=12.0 q=15.0 q=13.0 q=23.0 q=12.0 q=12.0 q=16.0 q=19.0 q=21.0 q=17.0 q=12.0 q=15.0 q=12.0 q=21.0 q=13.0 q=13.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 size=   [info] frame=  703 fps= 24 q=19.0 q=12.0 q=21.0 q=12.0 q=12.0 q=16.0 q=12.0 q=23.0 q=12.0 q=12.0 q=14.0 q=17.0 q=21.0 q=15.0 q=12.0 q=13.0 q=12.0 q=20.0 q=13.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  715 fps= 24 q=20.0 q=12.0 q=20.0 q=15.0 q=12.0 q=18.0 q=22.0 q=23.0 q=23.0 q=12.0 q=16.0 q=17.0 q=22.0 q=17.0 q=12.0 q=15.0 q=21.0 q=22.0 q=13.0 q=13.0 q=12.0 q=14.0 q=13.0 q=12.0 q=12.0 size=   [info] frame=  728 fps= 24 q=18.0 q=12.0 q=12.0 q=12.0 q=12.0 q=16.0 q=14.0 q=23.0 q=12.0 q=12.0 q=16.0 q=19.0 q=22.0 q=13.0 q=12.0 q=15.0 q=19.0 q=21.0 q=13.0 q=12.0 q=12.0 q=12.0 q=14.0 q=12.0 q=12.0 size=   [info] frame=  740 fps= 24 q=17.0 q=12.0 q=12.0 q=12.0 q=12.0 q=15.0 q=14.0 q=22.0 q=12.0 q=12.0 q=14.0 q=18.0 q=21.0 q=12.0 q=12.0 q=15.0 q=19.0 q=20.0 q=13.0 q=13.0 q=12.0 q=13.0 q=16.0 q=12.0 q=12.0 size=   [info] frame=  752 fps= 24 q=23.0 q=14.0 q=14.0 q=14.0 q=14.0 q=21.0 q=16.0 q=25.0 q=14.0 q=14.0 q=21.0 q=20.0 q=23.0 q=16.0 q=20.0 q=22.0 q=21.0 q=23.0 q=22.0 q=20.0 q=22.0 q=24.0 q=24.0 q=23.0 q=23.0 size=   [info] frame=  764 fps= 24 q=16.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=14.0 q=23.0 q=12.0 q=12.0 q=14.0 q=18.0 q=22.0 q=12.0 q=12.0 q=13.0 q=16.0 q=18.0 q=13.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  776 fps= 24 q=21.0 q=14.0 q=19.0 q=12.0 q=12.0 q=20.0 q=23.0 q=23.0 q=19.0 q=12.0 q=15.0 q=23.0 q=23.0 q=21.0 q=12.0 q=16.0 q=16.0 q=20.0 q=13.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  788 fps= 24 q=22.0 q=12.0 q=19.0 q=18.0 q=13.0 q=21.0 q=12.0 q=23.0 q=24.0 q=16.0 q=19.0 q=12.0 q=24.0 q=26.0 q=23.0 q=15.0 q=12.0 q=27.0 q=25.0 q=16.0 q=13.0 q=13.0 q=16.0 q=12.0 q=12.0 size=   [info] frame=  800 fps= 24 q=21.0 q=12.0 q=12.0 q=12.0 q=12.0 q=18.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=15.0 q=15.0 q=12.0 q=13.0 q=12.0 q=14.0 q=17.0 q=13.0 q=13.0 q=12.0 q=13.0 q=12.0 q=12.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 984786 bytes read, 2 seeks
[h264 @ 0x5555f1407de0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[h264 @ 0x5555f187c0c0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[info] frame=  812 fps= 24 q=21.0 q=12.0 q=12.0 q=12.0 q=12.0 q=18.0 q=13.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=16.0 q=15.0 q=12.0 q=12.0 q=12.0 q=13.0 q=16.0 q=12.0 size=   [info] frame=  824 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  836 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  848 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  861 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=24.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  873 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  885 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=23.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  897 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  909 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=25.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  922 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  934 fps= 24 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  938 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [AVIOContext @ 0x5555f140fa70] [verbose] Statistics: 29154 bytes read, 0 seeks
[h264 @ 0x5555f1407de0] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[mov,mp4,m4a,3gp,3g2,mj2 @ 0x5555f1407720] [info] Auto-inserting h264_mp4toannexb bitstream filter
[h264 @ 0x5555f17af150] [verbose] Reinit context to 1920x1088, pix_fmt: yuv420p
[info] frame=  963 fps= 23 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=15.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  967 fps= 22 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=17.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  994 fps= 22 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=15.0 q=19.0 q=12.0 q=12.0 q=12.0 q=17.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame=  997 fps= 21 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=15.0 q=19.0 q=12.0 q=12.0 q=12.0 q=18.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame= 1023 fps= 21 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=14.0 q=20.0 q=18.0 q=15.0 q=15.0 q=14.0 q=13.0 q=13.0 q=13.0 q=13.0 q=13.0 q=13.0 size=   [info] frame= 1029 fps= 20 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=14.0 q=20.0 q=15.0 q=14.0 q=15.0 q=15.0 q=13.0 q=13.0 q=14.0 q=14.0 q=14.0 q=13.0 size=   [info] frame= 1055 fps= 21 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=15.0 q=19.0 q=15.0 q=14.0 q=15.0 q=16.0 q=12.0 q=13.0 q=13.0 q=13.0 q=13.0 q=12.0 size=   [info] frame= 1060 fps= 20 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=16.0 q=19.0 q=15.0 q=14.0 q=15.0 q=16.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=   [info] frame= 1086 fps= 20 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=16.0 q=15.0 q=14.0 q=14.0 q=12.0 q=13.0 q=13.0 q=13.0 q=13.0 q=12.0 size=   [info] frame= 1092 fps= 19 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=13.0 q=16.0 q=13.0 q=13.0 q=13.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 q=12.0 size=


  


  What I tried & My guesses

  


  My best guess is that the issue comes from one of the data buffers between the two applications (ffmpeg -> mpv). There are several buffers and I don't know exactly which ones, but there is at least a UDP buffer at the output of the server and another one at the input of the client.

  


  When a client is unreachable, the server's UDP buffer seems to fill up and thus don't continue streaming for other clients.

  


  I tried to tweak several parameters of ffmpeg concerning buffers but without success.

  


  

  • udp://100.64.0.32:1234?buffer_size=1024&connect=0&fifo_size=10&overrun_nonfatal=0

  


  • fps_mode

  


  • thread_queue_size

  


  


  Any help is welcome !