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• Revision 36945 : au final pas grand chose passe dans les fichiers de presets ... On ...

  5 avril 2010, par kent1@… — Log

  au final pas grand chose passe dans les fichiers de presets ...
  On repasse les codec et les bitrates dans la ligne de commande
  On commence à améliorer grandement la conf

• 7 Best Marketing Attribution Software in 2024

  22 février 2024, par Erin

  It can be hard to accurately track the impact of your marketing efforts across marketing channels and campaigns. That’s where marketing attribution software comes in. 

  It goes beyond basic web analytics solutions that just look at the final click. Instead, it shows how different channels, content, and ads are performing at every step of the buyer’s journey, which gives a more accurate picture than just focusing on the last click.

  In this guide, we’ll cover the basics of marketing attribution, list the top marketing attribution software and explain how the issue of privacy is transforming the web analytics industry.

  What is marketing attribution ?

  Marketing attribution is the process of assigning credit to each touchpoint in a buyer’s journey that leads to a desired action (such as a conversion or sale) in order to understand the effectiveness of various marketing channels and campaigns in influencing the customer’s decision-making process.

  Marketers use software tools like website analytics to to track and analyse customer interactions across different touchpoints, allowing them to attribute conversions or sales to specific marketing efforts and optimise their strategies and budgets accordingly.

  Why is marketing attribution so important ?

  If you don’t track your campaigns correctly, it’s easy to spend thousands (or even millions) in an ineffective way. A 2022 survey by Australian marketing agency Next&Co revealed their clients wasted AU$5.46 billion in ineffective ad spend.

  

  That’s 41% of all the ad spend tracked by Next&Co in 2022. A wasted marketing spend percentage this high isn’t exactly a recipe for a high marketing return on investment (ROI). And yet, it’s the average.

  Why is that ? 

  Most companies don’t actively track the results of their marketing campaigns actively enough.

  By improving your marketing attribution, you can determine which channels, ads, and campaigns work and which don’t. Then, you can move the budget from ineffective channels to effective ones.

  Even if you can only identify half of your wastage, this could be 20% or more of your total spend. Just imagine what your bottom line would look like if your marketing budget were 20% more effective.

  That’s the power that marketing attribution, when done right, brings to the table. It’s the road to a higher marketing ROI.

  Common marketing attribution models and how they’re different 

  The default model for attributing completed goals in most analytics tools is either the last interaction or the last non-direct interaction.

  However, some multi-touch models can help you get a more holistic view of the impact of your marketing efforts.

  

  • Last interaction model : attributes the conversion to the final interaction or referring source (campaign or ad).
  • Last non-direct interaction model : attributes the conversion to the final touchpoint that was not a direct visit to your website. (For example, if a search ad took them to a product page, the user bookmarked it and returned directly the next day to finish the purchase. The credit would go to the search ad as it’s the last non-direct touchpoint.)
  • First interaction model : attributes the conversion to the first referring event alone.
  • Linear model : gives equal value to every touchpoint throughout the customer journey. 
  • Time decay model : gives more value to touchpoints the closer they were to the actual sale.
  • Position-based model : gives more value to the first and last touchpoints — often 40% each, while splitting 20% among the rest.

  You can read our guide dedicated to marketing attribution models for more details on these models.

  Types of marketing attribution software and the impact of privacy regulations

  Until recently, digital advertising was the “scientific” advertisers’ utopia. Everything could be measured, with cookies from giants like Google and Facebook stalking every user across the web.

  But with the advent of regulations like GDPR and the CCPA, you can no longer blindly trust Google Analytics or the Meta Pixel without consequences.

  Multi-channel attribution tools with third-party cookies and GDPR

  Google, Meta, and other companies used to track and combine user data from their own platforms and websites across the web that installed their tags. These third-party cookies have long been under fire and have caused several GDPR fines.

  

  The alternative : analytics platforms with first-party cookies

  In a post-GDPR digital marketing landscape, a compliant-by-default web analytics platform like Matomo is a more reliable and accurate alternative.

  Plus, with a platform like Matomo, you don’t need to rely on data from digital advertising platforms like Facebook Ads and Google Ads. You can accurately track referral sources using our campaign tracking parameters.

  7 best marketing attribution software in 2024

  Below is the list of our favourite marketing attribution tools in 2024. If you find and use one that suits your needs correctly, you can quickly boost your marketing performance.

  1. Matomo — Accurate and easiest to set up for marketing attribution

  Matomo is a privacy-friendly web analytics suite that empowers you to accurately attribute marketing efforts and gain valuable insights while prioritising user privacy and compliance.

  Matomo integrates with e-commerce platforms like WooCommerce and Magenta. That makes it easy for B2C marketing teams to track the revenue impact of their campaigns.

  

  You can also compare a variety of attribution models against each other. B2B teams can use our API to integrate Matomo with their CRM.

  Pros :

  • Relies on first-party cookies for tracking, ensuring accurate data collection and attribution of user actions
  • Includes additional features like Heatmaps, Session Recordings, Form Analytics, A/B Testing, and more
  • Easy to set up and use
  • Features most common multi-touch attribution models

  Cons :

  • Limited to owned channels (website and e-commerce store) due to first-party cookies and data (but you can integrate other data sources through a CRM)

  Pricing

  The self-hosted version is free. The cloud hosted version starts at $19 per month and includes a 21-day free trial. No credit card requierd. 

  Try Matomo for Free

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

  Start for free

  No credit card required

  2. WhatConverts — Great option for leads-based businesses with high ad spend

  WhatConverts is a marketing attribution tool with a focus on lead tracking. With most web analytics setups, it adds call and text tracking to the typical form-only tracking.

  

  Pros :

  • Reliable call and text tracking
  • Revenue attribution to specific leads (and, by extension, campaigns and ads)

  Cons :

  • Focused exclusively on leads — little utility for e-commerce companies 

  Pricing

  The cheapest plan starts at $30/month but does not include analytics integrations or form tracking. To access this and advanced flow tracking and attribution features, you need the Elite plan, which starts at $160/month.

  3. HubSpot Marketing Hub — Ideal CRM for larger B2B companies

  HubSpot is a marketing CRM with attribution features for tracking and analysis.

  

  The platform is very broad — encompassing CRM, email automation and other tools — which makes it challenging to use effectively. The price tag is also quite steep for smaller companies and marketing teams.

  Pros :

  • Concretely tracks revenue to multiple different touchpoints and marketing channels
  • Includes several different multi-touch attribution models
  • Allows offline conversion tracking

  Cons :

  • The price point is too high for smaller teams
  • Cam be difficult to set up effectively

  Pricing

  Since marketing attribution is only included in HubSpot Marketing Hub’s Professional and Enterprise plans, pricing starts at $800/month (paid annually). If you commit for a year but pay monthly, the price is $890/month for the professional plan. This goes up with additional add-ons and as your contacts increase as well. 

  4. ActiveCampaign — Good CRM option for small B2B companies

  ActiveCampaign is a CRM and marketing automation platform that can help you trace leads and revenue back to their source.

  

  Although it has a similar scope of features to HubSpot, it is more affordable and slightly easier to use for beginners.

  Pros :

  • Tracks sales revenue back to specific marketing touchpoints
  • Powerful marketing automation features

  Cons :

  • B2B companies may need to purchase two plans, one ActiveCampaign marketing and one CRM.

  Pricing

  Unlike HubSpot, ActiveCampaign offers a much more affordable plan, starting at $29/month billed annually (for up to 1,000 contacts). The marketing and sales CRM bundle starts at $93/month with up to five users.

  5. Salesforce Data Cloud for Marketing — Ideal CRM for enterprises

  Salesforce is a robust and feature-rich CRM that many enterprises rely on for their sales teams.

  

  That makes Salesforce’s marketing attribution platform a logical choice for existing Salesforce users.

  Pros :

  • Uses prospect and sales data from CRM to attribute revenue
  • Revenue prediction analytics
  • Lead scoring to help your sales team focus on high-value leads

  Cons :

  • Difficult to set up and use
  • Clunky and aged user interface
  • Relatively high price point

  Pricing

  The limited Marketing Cloud Account Engagement Growth plan starts at $1,250/month, billed annually. To access advanced cross-channel journeys, you need the Pro plan, which starts at $2,750 monthly.

  6. Terminus — Great for account-based marketing

  If your marketing team uses an account-based marketing (ABM) approach, Terminus might be the right option for you.

  

  It offers ABM tools like target account event tracking and revenue attribution tools for your marketing campaigns.

  Pros :

  • Advanced multi-channel revenue attribution tools with a wide range of reports
  • Track intent touchpoints back to target accounts
  • Reliable revenue predictions help you focus your marketing activities

  Cons :

  • Complex and difficult to set up, understand and use effectively
  • Lacks native integrations with many common advertising platforms and analytics tools

  Pricing

  Terminus offers no standard pricing plans. You must contact their sales team for a custom quote based on your needs.

  7. Adobe Analytics — An analytics for enterprises

  Adobe Analytics is part of the Adobe Experience Cloud, with plenty of big data analysis tools for enterprises. Although the platform is quite powerful, it is equally complex and difficult to use. The price point is also prohibitive for many smaller companies.

  

  Pros :

  • Very extensive reporting tools
  • Predictive analytics give you solid leading indicator for future campaign performance
  • Track multiple digital touchpoints across the entire customer journey

  Cons :

  • Like Google Analytics, Adobe Analytics aggregates your visitor data by default, making compliant “consent-free tracking” — tracking user actions without asking for consent — impossible according to GDPR. (See more differences in Matomo’s comparison against Adobe Analytics and Google Analytics.)
  • Prohibitively expensive for most smaller companies
  • Very steep learning curve for setting up and using it correctly

  Pricing

  Adobe Analytics uses usage-based pricing — which means they adjust the pricing based on the traffic volume to your website. Still, their lower price points aren’t exactly SMB-friendly — multiple sources put Adobe’s lowest starting price point at $2,000–2,500 per month.

  Get accurate marketing attribution with Matomo (without privacy concerns)

  Matomo allows you to do marketing attribution effectively and accurately without compromising your users’ privacy. By default, we only use first-party cookies and offer consent-free tracking – meaning no more annoying cookie consent banners (excluding in Germany and the UK).

  If you want to boost your marketing performance without disregarding your users’ privacy, get started with our 21-day free trial. No credit card required. It’s time to make more informed decisions about your marketing campaigns.

  Try Matomo for Free

  21 day free trial. No credit card required.

  
  

  Your email address
  

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  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 capture video and audio produced corrupt output

  18 décembre 2020, par wheelie tips

  I have two separate FFmpeg commands that each works well on its own, one for capturing video and the other for capturing audio from the same device ; the captured audio is :

  


  ffmpeg -f alsa -thread_queue_size 16384 -i hw:CARD=C4K,DEV=0 -acodec aac /home/pi/Videos/temp.wav


  


  and the captured video is :

  


  ffmpeg -y -nostdin -f v4l2 -threads auto -input_format yuyv422 -fflags +genpts -flags +global_header -thread_queue_size 16384 -i /dev/video0 -s 1280x720 -r 25 -vcodec h264_v4l2m2m -num_output_buffers 32 -num_capture_buffers 16 -keyint_min 25 -force_key_frames "expr:gte(t,n_forced*1)" -g 50 -b:v 6M -pix_fmt nv12 -f mpegts -muxdelay 0 -muxpreload 0 -movflags +faststart /home/pi/Videos/output.mp4


  


  I’ve tried to combine the two into one call to produce one video file with the audio channel, but whatever I’ve been attempting, the results output were messed up ; obviously, I’m missing something, for example, my latest attempt prodused a frozen image video with the audio channel :

  


  ffmpeg -y -nostdin -f v4l2 -threads auto -input_format yuyv422 -fflags +genpts -flags +global_header -thread_queue_size 16384 -i /dev/video0 -f alsa -thread_queue_size 16384 -i hw:CARD=C4K,DEV=0 -acodec aac -s 1280x720 -r 25 -vcodec h264_v4l2m2m -num_output_buffers 32 -num_capture_buffers 16 -keyint_min 25 -force_key_frames "expr:gte(t,n_forced*1)" -g 50 -b:v 6M -b:a 128K -pix_fmt nv12 -f mpegts -muxdelay 0 -muxpreload 0 -movflags +faststart /home/pi/Videos/output.mp4 -loglevel debug


  


  the full output of the above command :

  


  ffmpeg version ca55240 Copyright (c) 2000-2020 the FFmpeg developers
  built with gcc 8 (Debian 8.3.0-6)
  configuration: --prefix=/home/pi/ffmpeg_build --pkg-config-flags='pkg-config --static' --extra-cflags=-I/home/pi/ffmpeg_build/include --extra-ldflags=-L/home/pi/ffmpeg_build/lib --extra-libs='-lpthread -lm' --bindir=/home/pi/bin --enable-gpl --enable-gnutls --disable-libaom --enable-libass --enable-libfdk-aac --enable-libfreetype --enable-libmp3lame --enable-libopus --enable-libvorbis --enable-libvpx --enable-libx264 --disable-libx265 --enable-nonfree --arch=aarch64 --disable-libxml2 --enable-libwebp --enable-libdrm
  libavutil      56. 51.100 / 56. 51.100
  libavcodec     58. 91.100 / 58. 91.100
  libavformat    58. 45.100 / 58. 45.100
  libavdevice    58. 10.100 / 58. 10.100
  libavfilter     7. 85.100 /  7. 85.100
  libswscale      5.  7.100 /  5.  7.100
  libswresample   3.  7.100 /  3.  7.100
  libpostproc    55.  7.100 / 55.  7.100
Splitting the commandline.
Reading option '-y' ... matched as option 'y' (overwrite output files) with argument '1'.
Reading option '-nostdin' ... matched as option 'stdin' (enable or disable interaction on standard input) with argument 0.
Reading option '-f' ... matched as option 'f' (force format) with argument 'v4l2'.
Reading option '-threads' ... matched as AVOption 'threads' with argument 'auto'.
Reading option '-input_format' ... matched as AVOption 'input_format' with argument 'yuyv422'.
Reading option '-fflags' ... matched as AVOption 'fflags' with argument '+genpts'.
Reading option '-flags' ... matched as AVOption 'flags' with argument '+global_header'.
Reading option '-thread_queue_size' ... matched as option 'thread_queue_size' (set the maximum number of queued packets from the demuxer) with argument '16384'.
Reading option '-i' ... matched as input url with argument '/dev/video0'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'alsa'.
Reading option '-thread_queue_size' ... matched as option 'thread_queue_size' (set the maximum number of queued packets from the demuxer) with argument '16384'.
Reading option '-i' ... matched as input url with argument 'hw:CARD=C4K,DEV=0'.
Reading option '-acodec' ... matched as option 'acodec' (force audio codec ('copy' to copy stream)) with argument 'aac'.
Reading option '-s' ... matched as option 's' (set frame size (WxH or abbreviation)) with argument '1280x720'.
Reading option '-r' ... matched as option 'r' (set frame rate (Hz value, fraction or abbreviation)) with argument '25'.
Reading option '-vcodec' ... matched as option 'vcodec' (force video codec ('copy' to copy stream)) with argument 'h264_v4l2m2m'.
Reading option '-num_output_buffers' ... matched as AVOption 'num_output_buffers' with argument '32'.
Reading option '-num_capture_buffers' ... matched as AVOption 'num_capture_buffers' with argument '16'.
Reading option '-keyint_min' ... matched as AVOption 'keyint_min' with argument '25'.
Reading option '-force_key_frames' ... matched as option 'force_key_frames' (force key frames at specified timestamps) with argument 'expr:gte(t,n_forced*1)'.
Reading option '-g' ... matched as AVOption 'g' with argument '50'.
Reading option '-b:v' ... matched as option 'b' (video bitrate (please use -b:v)) with argument '6M'.
Reading option '-b:a' ... matched as option 'b' (video bitrate (please use -b:v)) with argument '128K'.
Reading option '-pix_fmt' ... matched as option 'pix_fmt' (set pixel format) with argument 'nv12'.
Reading option '-f' ... matched as option 'f' (force format) with argument 'mpegts'.
Reading option '-muxdelay' ... matched as option 'muxdelay' (set the maximum demux-decode delay) with argument '0'.
Reading option '-muxpreload' ... matched as option 'muxpreload' (set the initial demux-decode delay) with argument '0'.
Reading option '-movflags' ... matched as AVOption 'movflags' with argument '+faststart'.
Reading option '/home/pi/Videos/output.mp4' ... matched as output url.
Reading option '-loglevel' ... matched as option 'loglevel' (set logging level) with argument 'debug'.
Finished splitting the commandline.
Parsing a group of options: global .
Applying option y (overwrite output files) with argument 1.
Applying option nostdin (enable or disable interaction on standard input) with argument 0.
Applying option loglevel (set logging level) with argument debug.
Successfully parsed a group of options.
Parsing a group of options: input url /dev/video0.
Applying option f (force format) with argument v4l2.
Applying option thread_queue_size (set the maximum number of queued packets from the demuxer) with argument 16384.
Successfully parsed a group of options.
Opening an input file: /dev/video0.
[video4linux2,v4l2 @ 0x55a0c86b40] fd:3 capabilities:84a00001
[video4linux2,v4l2 @ 0x55a0c86b40] Current input_channel: 0, input_name: Input 1, input_std: 0
[video4linux2,v4l2 @ 0x55a0c86b40] Querying the device for the current frame size
[video4linux2,v4l2 @ 0x55a0c86b40] Setting frame size to 1920x1080
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
[video4linux2,v4l2 @ 0x55a0c86b40] All info found Input #0, video4linux2,v4l2, from '/dev/video0':
  Duration: N/A, start: 0.000000, bitrate: 1988671 kb/s
    Stream #0:0, 1, 1/1000000: Video: rawvideo, 1 reference frame (YUY2 / 0x32595559), yuyv422, 1920x1080, 0/1, 1988671 kb/s, 59.94 fps, 59.94 tbr, 1000k tbn, 1000k tbc Successfully opened the file.
Parsing a group of options: input url hw:CARD=C4K,DEV=0.
Applying option f (force format) with argument alsa.
Applying option thread_queue_size (set the maximum number of queued packets from the demuxer) with argument 16384.
Successfully parsed a group of options.
Opening an input file: hw:CARD=C4K,DEV=0.
[alsa @ 0x55a0c89630] All info found
Guessed Channel Layout for Input Stream #1.0 : stereo Input #1, alsa, from 'hw:CARD=C4K,DEV=0':
  Duration: N/A, start: 1608286705.387903, bitrate: 1536 kb/s
    Stream #1:0, 1, 1/1000000: Audio: pcm_s16le, 48000 Hz, stereo, s16, 1536 kb/s Successfully opened the file.
Parsing a group of options: output url /home/pi/Videos/output.mp4.
Applying option acodec (force audio codec ('copy' to copy stream)) with argument aac.
Applying option s (set frame size (WxH or abbreviation)) with argument 1280x720.
Applying option r (set frame rate (Hz value, fraction or abbreviation)) with argument 25.
Applying option vcodec (force video codec ('copy' to copy stream)) with argument h264_v4l2m2m.
Applying option force_key_frames (force key frames at specified timestamps) with argument expr:gte(t,n_forced*1).
Applying option b:v (video bitrate (please use -b:v)) with argument 6M.
Applying option b:a (video bitrate (please use -b:v)) with argument 128K.
Applying option pix_fmt (set pixel format) with argument nv12.
Applying option f (force format) with argument mpegts.
Applying option muxdelay (set the maximum demux-decode delay) with argument 0.
Applying option muxpreload (set the initial demux-decode delay) with argument 0.
Successfully parsed a group of options.
Opening an output file: /home/pi/Videos/output.mp4.
[file @ 0x55a0ca7210] Setting default whitelist 'file,crypto,data'
Successfully opened the file.
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (h264_v4l2m2m))
  Stream #1:0 -> #0:1 (pcm_s16le (native) -> aac (native)) cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
    Last message repeated 3 times
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
    Last message repeated 12 times
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
    Last message repeated 2 times
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
[video4linux2,v4l2 @ 0x55a0c86b40] Dequeued v4l2 buffer contains corrupted data (0 bytes).
    Last message repeated 23 times
cur_dts is invalid st:0 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
    Last message repeated 1452 times
[rawvideo @ 0x55a0c89130] PACKET SIZE: 4147200, STRIDE: 3840 detected 4 logical cores [graph 0 input from stream 0:0 @ 0x55a0ca9080] Setting 'video_size' to value '1920x1080'
[graph 0 input from stream 0:0 @ 0x55a0ca9080] Setting 'pix_fmt' to value '1'
[graph 0 input from stream 0:0 @ 0x55a0ca9080] Setting 'time_base' to value '1/1000000'
[graph 0 input from stream 0:0 @ 0x55a0ca9080] Setting 'pixel_aspect' to value '0/1'
[graph 0 input from stream 0:0 @ 0x55a0ca9080] Setting 'frame_rate' to value '7013/117'
[graph 0 input from stream 0:0 @ 0x55a0ca9080] w:1920 h:1080 pixfmt:yuyv422 tb:1/1000000 fr:7013/117 sar:0/1
[scaler_out_0_0 @ 0x55a0cb0060] Setting 'w' to value '1280'
[scaler_out_0_0 @ 0x55a0cb0060] Setting 'h' to value '720'
[scaler_out_0_0 @ 0x55a0cb0060] Setting 'flags' to value 'bicubic'
[scaler_out_0_0 @ 0x55a0cb0060] w:1280 h:720 flags:'bicubic' interl:0 [format @ 0x55a0cb05b0] Setting 'pix_fmts' to value 'nv12'
[AVFilterGraph @ 0x55a0ca2730] query_formats: 5 queried, 4 merged, 0 already done, 0 delayed
[scaler_out_0_0 @ 0x55a0cb0060] w:1920 h:1080 fmt:yuyv422 sar:0/1 -> w:1280 h:720 fmt:nv12 sar:0/1 flags:0x4 [h264_v4l2m2m @ 0x55a0ca5610] probing device /dev/video12 [h264_v4l2m2m @ 0x55a0ca5610] driver 'bcm2835-codec' on card 'bcm2835-codec-isp' in mplane mode [h264_v4l2m2m @ 0x55a0ca5610] v4l2 capture format not supported [h264_v4l2m2m @ 0x55a0ca5610] probing device /dev/video11 [h264_v4l2m2m @ 0x55a0ca5610] driver 'bcm2835-codec' on card 'bcm2835-codec-encode' in mplane mode [h264_v4l2m2m @ 0x55a0ca5610] Using device /dev/video11 [h264_v4l2m2m @ 0x55a0ca5610] driver 'bcm2835-codec' on card 'bcm2835-codec-encode' in mplane mode [h264_v4l2m2m @ 0x55a0ca5610] requesting formats: output=NV12 capture=H264 [h264_v4l2m2m @ 0x55a0ca5610] output: NV12 32 buffers initialized: 1280x0720, sizeimage 01382400, bytesperline 00001280 [h264_v4l2m2m @ 0x55a0ca5610] capture: H264 16 buffers initialized: 1280x0720, sizeimage 00524288, bytesperline 00000000 [h264_v4l2m2m @ 0x55a0ca5610] Failed to set number of B-frames: Invalid argument [h264_v4l2m2m @ 0x55a0ca5610] Failed to get number of B-frames [h264_v4l2m2m @ 0x55a0ca5610] Failed to set header mode: Invalid argument [h264_v4l2m2m @ 0x55a0ca5610] Encoder: bit rate = 6000000 [h264_v4l2m2m @ 0x55a0ca5610] Failed to set frame level rate control: Invalid argument [h264_v4l2m2m @ 0x55a0ca5610] Failed to set gop size: Invalid argument [h264_v4l2m2m @ 0x55a0ca5610] Encoder: repeat parameter sets = 1 [h264_v4l2m2m @ 0x55a0ca5610] Encoder Context: id (27), profile (-99), frame rate(25/1), number b-frames (0), gop size (50), bit rate (6000000), qmin (-1), qmax (-1) [h264_v4l2m2m @ 0x55a0ca5610] Failed to set minimum video quantizer scale: Invalid argument [h264_v4l2m2m @ 0x55a0ca5610] Failed to set maximum video quantizer scale: Invalid argument Forced keyframe at time 0.000000 [h264_v4l2m2m @ 0x55a0ca5610] Encoder: force key frame = 0 cur_dts is invalid st:0 (0) [init:1 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream) cur_dts is invalid st:1 (0) [init:0 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
[graph_1_in_1_0 @ 0x55a0d465d0] Setting 'time_base' to value '1/48000'
[graph_1_in_1_0 @ 0x55a0d465d0] Setting 'sample_rate' to value '48000'
[graph_1_in_1_0 @ 0x55a0d465d0] Setting 'sample_fmt' to value 's16'
[graph_1_in_1_0 @ 0x55a0d465d0] Setting 'channel_layout' to value '0x3'
[graph_1_in_1_0 @ 0x55a0d465d0] tb:1/48000 samplefmt:s16 samplerate:48000 chlayout:0x3
[format_out_0_1 @ 0x55a0d46af0] Setting 'sample_fmts' to value 'fltp'
[format_out_0_1 @ 0x55a0d46af0] Setting 'sample_rates' to value '96000|88200|64000|48000|44100|32000|24000|22050|16000|12000|11025|8000|7350'
[format_out_0_1 @ 0x55a0d46af0] auto-inserting filter 'auto_resampler_0' between the filter 'Parsed_anull_0' and the filter 'format_out_0_1'
[AVFilterGraph @ 0x55a0d45c10] query_formats: 4 queried, 6 merged, 3 already done, 0 delayed
[auto_resampler_0 @ 0x55a0d47740] [SWR @ 0x55a0d47890] Using s16p internally between filters
[auto_resampler_0 @ 0x55a0d47740] ch:2 chl:stereo fmt:s16 r:48000Hz -> ch:2 chl:stereo fmt:fltp r:48000Hz [mpegts @ 0x55a0caec00] service 1 using PCR in pid=256, pcr_period=80ms [mpegts @ 0x55a0caec00] muxrate VBR, sdt every 500 ms, pat/pmt every 100 ms Output #0, mpegts, to '/home/pi/Videos/output.mp4':
  Metadata:
    encoder         : Lavf58.45.100
    Stream #0:0, 0, 1/90000: Video: h264 (h264_v4l2m2m), 1 reference frame, nv12(progressive), 1280x720, 0/1, q=-1--1, 6000 kb/s, 25 fps, 90k tbn, 25 tbc
    Metadata:
      encoder         : Lavc58.91.100 h264_v4l2m2m
    Stream #0:1, 0, 1/90000: Audio: aac (LC), 48000 Hz, stereo, fltp, delay 1024, 128 kb/s
    Metadata:
      encoder         : Lavc58.91.100 aac
cur_dts is invalid st:0 (0) [init:1 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream) cur_dts is invalid st:1 (0) [init:1 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream) [rawvideo @ 0x55a0c89130] PACKET SIZE: 4147200, STRIDE: 3840 Clipping frame in rate conversion by 0.132942 cur_dts is invalid st:1 (0) [init:1 i_done:0 finish:0] (this is harmless if it occurs once at the start per stream)
    Last message repeated 17 times
^Cframe=    2 fps=0.3 q=-0.0 Lsize=     183kB time=00:21:16.64 bitrate=   1.2kbits/s speed= 189x
video:24kB audio:101kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 46.992252% Input file #0 (/dev/video0):
  Input stream #0:0 (video): 34 packets read (8294400 bytes); 2 frames decoded;
  Total: 34 packets (8294400 bytes) demuxed Input file #1 (hw:CARD=C4K,DEV=0):
  Input stream #1:0 (audio): 2712 packets read (1233148 bytes); 2712 frames decoded (308287 samples);
  Total: 2712 packets (1233148 bytes) demuxed Output file #0 (/home/pi/Videos/output.mp4):
  Output stream #0:0 (video): 2 frames encoded; 2 packets muxed (24588 bytes);
  Output stream #0:1 (audio): 301 frames encoded (308224 samples); 302 packets muxed (103182 bytes);
  Total: 304 packets (127770 bytes) muxed
2714 frames successfully decoded, 0 decoding errors [AVIOContext @ 0x55a0ca7100] Statistics: 0 seeks, 1 writeouts [aac @ 0x55a0ca65e0] Qavg: 165.061 Exiting normally, received signal 2.


  


  can anyone please help me figure this out ?

  


  Thanks much !

  


  RS