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• ffmpeg conversion results in different number of frames. How to fix corrupted frames ?

  19 mai 2022, par Mike Azatov

  I have used ffmpeg -i original_video.mp4 -vcodec libx265 -crf 28 -vsync 0 -vf scale=800:-1 -preset faster small_video.mp4 for awhile without problem to make a smaller sized video that is completely in sync with the original one.

  


  However, I came across one that after conversion has 44 frames less. My guess is this happens because there are 44 corrupted frames in the original one that gets discarded. If that is the case I would like to either "correct" the original one and then proceed with the conversion the same old way OR/AND convert so the corrupted frames are not skipped but are replaced with the good ones so the videos are still in full sync.

  


  Below is the log from conversion :

  


  ffmpeg -i original_video.ts -vcodec libx265 -crf 28 -vsync 0 -vf scale=800:-1 -preset faster small_video.mp4
ffmpeg version 2021-08-01-git-1f58503013-full_build-www.gyan.dev Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 10.3.0 (Rev5, Built by MSYS2 project)
  configuration: --enable-gpl --enable-version3 --enable-static --disable-w32threads --disable-autodetect --enable-fontconfig --enable-iconv --enable-gnutls --enable-libxml2 --enable-gmp --enable-lzma --enable-libsnappy --enable-zlib --enable-librist --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-libbluray --enable-libcaca --enable-sdl2 --enable-libdav1d --enable-libzvbi --enable-librav1e --enable-libsvtav1 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --enable-frei0r --enable-libfreetype --enable-libfribidi --enable-libvidstab --enable-libvmaf --enable-libzimg --enable-amf --enable-cuda-llvm --enable-cuvid --enable-ffnvcodec --enable-nvdec --enable-nvenc --enable-d3d11va --enable-dxva2 --enable-libmfx --enable-libglslang --enable-vulkan --enable-opencl --enable-libcdio --enable-libgme --enable-libmodplug --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libshine --enable-libtheora --enable-libtwolame --enable-libvo-amrwbenc --enable-libilbc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-ladspa --enable-libbs2b --enable-libflite --enable-libmysofa --enable-librubberband --enable-libsoxr --enable-chromaprint
  libavutil      57.  3.100 / 57.  3.100
  libavcodec     59.  3.102 / 59.  3.102
  libavformat    59.  4.101 / 59.  4.101
  libavdevice    59.  0.100 / 59.  0.100
  libavfilter     8.  1.103 /  8.  1.103
  libswscale      6.  0.100 /  6.  0.100
  libswresample   4.  0.100 /  4.  0.100
  libpostproc    56.  0.100 / 56.  0.100
[h264 @ 000001cd26f14d40] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd26f14d40] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f14d40] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd26f14d40] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f14d40] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd26f14d40] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f14d40] Increasing reorder buffer to 2
Input #0, mpegts, from 'original_video.ts':
  Duration: 01:44:24.42, start: 1.560000, bitrate: 10059 kb/s
  Program 1
    Metadata:
      service_name    : Service01
      service_provider: FFmpeg
  Stream #0:0[0x100]: Video: h264 (High) ([27][0][0][0] / 0x001B), yuv420p(tv, bt709, top first), 1920x1080 [SAR 1:1 DAR 16:9], 25 fps, 25 tbr, 90k tbn
  Stream #0:1[0x101](rus): Audio: mp2 ([3][0][0][0] / 0x0003), 48000 Hz, stereo, fltp, 192 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (h264 (native) -> hevc (libx265))
  Stream #0:1 -> #0:1 (mp2 (native) -> aac (native))
Press [q] to stop, [?] for help
[h264 @ 000001cd28f81bc0] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd28f81bc0] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd28f82680] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd28f82680] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd28dab1c0] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd28dab1c0] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
x265 [info]: HEVC encoder version 3.5+11-c8905a745
x265 [info]: build info [Windows][GCC 10.3.0][64 bit] 8bit+10bit+12bit
x265 [info]: using cpu capabilities: MMX2 SSE2Fast LZCNT SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2
x265 [info]: Main profile, Level-3 (Main tier)
x265 [info]: Thread pool created using 12 threads
x265 [info]: Slices                              : 1
x265 [info]: frame threads / pool features       : 3 / wpp(8 rows)
x265 [warning]: Source height < 720p; disabling lookahead-slices
x265 [info]: Coding QT: max CU size, min CU size : 64 / 8
x265 [info]: Residual QT: max TU size, max depth : 32 / 1 inter / 1 intra
x265 [info]: ME / range / subpel / merge         : hex / 57 / 2 / 2
x265 [info]: Keyframe min / max / scenecut / bias  : 25 / 250 / 40 / 5.00
x265 [info]: Lookahead / bframes / badapt        : 15 / 4 / 0
x265 [info]: b-pyramid / weightp / weightb       : 1 / 1 / 0
x265 [info]: References / ref-limit  cu / depth  : 2 / on / on
x265 [info]: AQ: mode / str / qg-size / cu-tree  : 2 / 1.0 / 32 / 1
x265 [info]: Rate Control / qCompress            : CRF-28.0 / 0.60
x265 [info]: tools: rd=2 psy-rd=2.00 early-skip rskip mode=1 signhide tmvp
x265 [info]: tools: fast-intra strong-intra-smoothing deblock sao
Output #0, mp4, to 'small_video.mp4':
  Metadata:
    encoder         : Lavf59.4.101
  Stream #0:0: Video: hevc (hev1 / 0x31766568), yuv420p(tv, bt709, top coded first (swapped)), 800x450 [SAR 1:1 DAR 16:9], q=2-31, 25 fps, 12800 tbn
    Metadata:
      encoder         : Lavc59.3.102 libx265
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
  Stream #0:1(rus): Audio: aac (LC) (mp4a / 0x6134706D), 48000 Hz, stereo, fltp, 128 kb/s
    Metadata:
      encoder         : Lavc59.3.102 aac
[h264 @ 000001cd273dd4c0] mmco: unref short failure53:36.81 bitrate= 770.6kbits/s speed=2.46x
    Last message repeated 1 times
[h264 @ 000001cd273dd4c0] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f52400] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd26f52400] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f52400] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[mp4 @ 000001cd26fce940] Non-monotonous DTS in output stream 0:0; previous: 62929920, current: 62929920; changing to 62929921. This may result in incorrect timestamps in the output file.
[h264 @ 000001cd28dab1c0] mmco: unref short failure:23:07.54 bitrate= 774.1kbits/s speed= 2.5x
    Last message repeated 1 times
[h264 @ 000001cd28dab1c0] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f0e6c0] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd28f82280] mmco: unref short failure:23:10.63 bitrate= 773.6kbits/s speed= 2.5x
    Last message repeated 1 times
[h264 @ 000001cd28f82280] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
[h264 @ 000001cd26f52400] mmco: unref short failure
    Last message repeated 1 times
[h264 @ 000001cd26f52000] number of reference frames (0+5) exceeds max (4; probably corrupt input), discarding one
original_video.ts: corrupt decoded frame in stream 0
    Last message repeated 1 times
[mp4 @ 000001cd26fce940] Non-monotonous DTS in output stream 0:0; previous: 64523776, current: 64523776; changing to 64523777. This may result in incorrect timestamps in the output file.
frame=156566 fps= 68 q=35.9 Lsize=  598731kB time=01:44:24.44 bitrate= 783.0kbits/s speed=2.72x
video:492857kB audio:101295kB subtitle:0kB other streams:0kB global headers:2kB muxing overhead: 0.770682%
x265 [info]: frame I:    688, Avg QP:27.50  kb/s: 4942.18
x265 [info]: frame P:  30767, Avg QP:28.35  kb/s: 2054.94
x265 [info]: frame B: 125111, Avg QP:34.64  kb/s: 273.26
x265 [info]: Weighted P-Frames: Y:7.7% UV:5.6%
x265 [info]: consecutive B-frames: 0.4% 0.1% 0.1% 0.1% 99.3%

encoded 156566 frames in 2300.41s (68.06 fps), 643.89 kb/s, Avg QP:33.37
[aac @ 000001cd27540480] Qavg: 462.740


  


• How to use Behavioural Analytics to Improve Website Performance

  20 septembre 2021, par Ben Erskine — Analytics Tips, Plugins, Heatmap
  

  User behavioural analytics (UBA) give your business unique insights into your customers. 

  Where traditional website metrics track what actions are completed or how many visitors you have, user behaviour shows the driving factors behind those actions. UBA tools such as website heatmap software provide an easy-to-read visualisation of this data. 

  Ultimately, user behaviour analysis improves website performance and conversions by boosting customer engagement, optimising positive customer experiences, and focusing on the most important part of your sales : the people who are actually buying from you. 

  What is user behaviour analytics ?

  User behaviour analytics (UBA) is data that shows how customers and website visitors interact with your brand online. 

  UBA is tracked using tools such as heatmaps, session recordings and data visualisation software. 

  Where traditional web analytics track metrics such as page views and bounce rates, behavioural analytics provide an even more in-depth picture of your website or funnel success. 

  For example, UBA tracks actions like 

  • How far users are scrolling down the page 
  • Which CTA’s and copy they are focusing on (or not focusing on) 
  • Which design elements, links or buttons they are interacting with 
  • What is happening in between each action

  Tracking user behaviour metrics help keep visitors on your website longer because they analyse where customers may be confused or unclear so you can fix it. 

  What’s the difference between data and behavioural analytics ?

  There are a few key differences between data and behavioural analytics. While data analytics are beneficial to improving website performance, using UBA creates a more customer-centric approach to funnel building. 

  The biggest difference between data and behavioural analytics ? Metric data shows which actions are happening. Behavioural analytics show you WHY they are happening. 

  For example, data can show you that a customer bounced or clicked away. Behaviour analytics show you that a page took a long time to load, they tried to click a link several times and then maybe got frustrated and clicked away. 

  Key differences between data analytics and behavioural analytics : 

  • What is happening versus what is driving it 
  • Track an action (e.g. click-through) versus tracking inaction (e.g. hover without clicking) 
  • Measuring completion of an action versus the flow of actions to complete action 
  • Source of traffic versus individual actions 
  • What happens when someone takes an action versus what happens in between taking action 

  Matomo heatmaps offer both website analytics and user behaviour for a comprehensive analysis.

  Why do behavioural analytics help improve website performance ?

  User behaviour is important because it doesn’t matter how many website visitors you have if they don’t convert. 

  If you have a lot of traffic on mobile devices, but a low CTR, heatmaps show you what is causing the low conversions. Perhaps there is a button that isn’t optimised for mobile scrolling, or a pop up that covers important copy. 

  Analysing the driving factors behind each decision means that you can increase sign-ups and conversions without losing money on website traffic that never actually buys. 

  

  How do heatmap tools show website user behaviour analytics ? 

  Heatmap tools provide a visual representation of user behaviour. 

  There are several key ways that heatmap tracking can improve website performance and therefore your overall conversions.

  Firstly, heatmaps show where to optimise website structure. It uses real visitor experiences to indicate whether customers have to scroll to reach important content, whether important messages are being missed, and whether CTAs are clear. 

  Secondly, heatmaps provide always-on UX and useability testing for your website, identifying user frustrations and optimising their experience over time.

  They also show valuable user experience insights for A/B versions of a landing page. Not only will you see the raw conversion data, but you will also understand why one page converts more than another.

  Ultimately, heatmaps increase ROI on marketing by optimising the traffic that you are sending to your website.

  

  5 ways heatmaps and user behaviour analytics improve website performance and conversions

  #1. Improve customer experience

  One of the most important uses for UBA is to improve your customer experience. 

  Imagine you had a physical store. If there was something blocking customers from getting to the counter you could easily see and fix the problem. 

  It is just as important for an online store to find and fix these “roadblocks”. 

  Not only does it reduce friction in the sales funnel and make it easy for customers to buy from you, it improves their overall experience. And when 86% of buyers are willing to pay more for a great customer experience, UBA should be one of your number one priorities for growing your bottom line. 

  #2. Improve customer engagement

  Customer engagement is any interaction between a customer/product user and your business. 

  User behaviour analytics increase engagement at each customer journey touch point. 

  Using data from heatmaps will improve customer engagement because it gives you insights into how you can make your website more user friendly. This reduces friction and increases customer loyalty by making sure customers :

  • See important content 
  • Are not distracted by unnecessary elements 
  • Can easily access information or pages no matter what device they are using 
  • Are clicking on important page elements that take them further through the customer journey 

  For example, say a customer is on a sales page. A heatmap might show that pop ups or design elements like links to another page are pulling their attention away from the primary focus (i.e. the sales copy). 

  #3. Focus on customer-centric approach 

  A customer-centric approach means putting your customers at the centre of everything that you do. There is a lot of competition for your customers’ hard earned dollars, so you need to stand out. A good product or service is not enough on its own anymore. 

  User behaviour analytics are at the heart of customer-centric strategies. Instead of guessing how customers interact with your online presence, tools like heatmaps give insight into exactly what customers need. 

  This matched with an effective customer feedback strategy gives a holistic and effective approach to improving your customer experiences. 
  

  #4. Capture customer data across multiple channels

  Most customers won’t convert on their very first visit to a website. They might interact with your business across many channels and research your product multiple times before purchasing. 

  Multi Channel Conversion Attribution, also known as Cross Channel Attribution, lets you assign a value to each visit prior to a conversion or prior to a sale. By applying different attribution models, you get a better view on which channels actually lead to a conversion.

  User behaviour analytics like the multi channel conversion attribution that Matomo offers can show you exactly where you should focus your money to acquire new customers. 

  #5. Track and measure business objectives

  User behaviour analytics like heatmaps can show you whether you are actually hitting your targets. 

  Setting goals helps track your website performance against business objectives. 

  These include objectives such as lead generation, online sales and increased brand exposure. Matomo has a specific function for tracking goals and measuring analytics.

  Using a combination of UBA and data metrics will produce the most effective conversions. 

  For example, a customer reaching the payment confirmation page is a common objective to measure conversions. However, it is only tracked if they actually complete the action. Measuring on-page customer activity with heatmaps shows why they do or do not convert so you can fix issues. 

  Final thoughts on user behaviour analytics 

  User behavioural analytics (UBA) provide a unique and in-depth insight into your customers and their needs. Unlike traditional data metrics that track completed actions, UBA like heatmaps show you what happens in between each action and help fix any critical issues. 

  Heatmaps are your secret weapon to improving website performance while staying customer-centric ! 

  Want to know how heatmap analytics increase conversions and improve customer experience without spending more on traffic or marketing ? Check out some of the other in depth guides below. 

  The Ultimate Guide to Heatmap Software

  10 Proven Ways Heatmap Software Improves Website Conversions

  Heatmap Video

  Session Recording Video

• ffmpeg encode video produce incorrect mediainfo encoding settings

  25 août 2021, par Foong

  I've been trying to do batch encode videos to H265 format. I am using media-autobuild_suite to build ffmpeg and have already updating ffmpeg to the latest version.

  


  ffmpeg version N-103367-g5ddb4b6a1b-g88b3e31562+1 Copyright (c) 2000-2021 the FFmpeg developers
built with gcc 10.3.0 (Rev5, Built by MSYS2 project)
configuration:  --pkg-config=pkgconf --cc='ccache gcc' --cxx='ccache g++' --ld='ccache g++' --disable-autodetect --enable-amf --enable-bzlib --enable-cuda --enable-cuvid --enable-d3d11va --enable-dxva2 --enable-iconv --enable-lzma --enable-nvenc --enable-schannel --enable-zlib --enable-sdl2 --enable-ffnvcodec --enable-nvdec --enable-cuda-llvm --enable-gmp --enable-libmp3lame --enable-libopus --enable-libvorbis --enable-libvpx --enable-libx264 --enable-libx265 --enable-libdav1d --enable-libaom --disable-debug --enable-libfdk-aac --extra-libs=-liconv --enable-gpl --enable-version3 --enable-nonfree
libavutil      57.  4.101 / 57.  4.101
libavcodec     59.  5.101 / 59.  5.101
libavformat    59.  4.102 / 59.  4.102
libavdevice    59.  0.101 / 59.  0.101
libavfilter     8.  3.100 /  8.  3.100
libswscale      6.  0.100 /  6.  0.100
libswresample   4.  0.100 /  4.  0.100
libpostproc    56.  0.100 / 56.  0.100


  


  However, the Writing library and Encoding settings output is incorrect. Before update ffmpeg doesn't have this issue. I wonder what have been missing that causing this issue.

  


  encoding CLI :

  


  ffmpeg -y -hide_banner -loglevel error -stats -hwaccel dxva2 -i "input.mkv" -c:v libx265 -vsync cfr -pix_fmt yuv420p10le -preset fast -tune animation -x265-params ctu=32:min-cu-size=8:max-tu-size=16:tu-intra-depth=2:tu-inter-depth=2:me=1:subme=3:merange=44:max-merge=2:keyint=250:min-keyint=23:rc-lookahead=60:lookahead-slices=6:bframes=6:bframe-bias=0:b-adapt=2:ref=6:limit-refs=3:limit-tu=1:aq-mode=3:aq-strength=0.6:rd=3:psy-rd=1.00:psy-rdoq=1.50:rdoq-level=1:deblock=-1,-1:crf=21.0:qblur=0.50:qcomp=0.60:qpmin=0:qpmax=51:frame-threads=1:strong-intra-smoothing=1:no-lossless=1:no-cu-lossless=1:constrained-intra=1:no-fast-intra=1:no-open-gop=1:no-temporal-layers=1:no-limit-modes=1:weightp=1:no-weightb=1:no-analyze-src-pics=1:no-rd-refine=1:signhide=1:sao=1:no-sao-non-deblock=1:b-pyramid=1:no-cutree=1:no-intra-refresh=1:no-amp=1:temporal-mvp=1:no-early-skip=1:no-tskip=1:no-tskip-fast=1:no-deblock=1:no-b-intra=1:no-splitrd-skip=1:no-strict-cbr=1:no-rc-grain=1:no-const-vbv=1:no-opt-qp-pps=1:no-opt-ref-list-length-pps=1:no-multi-pass-opt-rps=1:no-opt-cu-delta-qp=1:no-hdr=1:no-hdr-opt=1:no-dhdr10-opt=1:no-idr-recovery-sei=1:no-limit-sao=1:no-lowpass-dct=1:no-dynamic-refine=1:no-single-sei=1 -c:a libfdk_aac -vf "fps=fps=29.970,setdar=16/9,scale=960:540:flags=lanczos" -map 0:v:? -map 0:a:? -map_metadata:g -1 -map_chapters 0 "output.mkv"


  


  Input video info :

  


  Video
ID                          : 1
Format                      : AVC
Format/Info                 : Advanced Video Codec
Format profile              : High@L3
Format settings             : CABAC / 5 Ref Frames
Format settings, CABAC      : Yes
Format settings, Reference  : 5 frames
Codec ID                    : V_MPEG4/ISO/AVC
Bit rate                    : 1 595 kb/s
Nominal bit rate            : 2 030 kb/s
Width                       : 720 pixels
Height                      : 480 pixels
Display aspect ratio        : 16:9
Original display aspect rat : 3:2
Frame rate mode             : Variable
Original frame rate         : 29.970 FPS
Color space                 : YUV
Chroma subsampling          : 4:2:0
Bit depth                   : 8 bits
Scan type                   : Progressive
Bits/(Pixel*Frame)          : 0.196
Writing library             : x264 core 66 r1115M 11863ac
Encoding settings           : cabac=1 / ref=5 / deblock=1:1:1 / analyse=0x3:0x133 / me=esa / subme=7 / psy_rd=1.0:0.0 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=1 / cqm=2 / deadzone=21,11 / chroma_qp_offset=-2 / threads=1 / nr=0 / decimate=0 / mbaff=0 / bframes=1 / b_pyramid=0 / b_adapt=1 / b_bias=0 / direct=3 / wpredb=1 / keyint=250 / keyint_min=25 / scenecut=40 / rc=2pass / bitrate=2030 / ratetol=1.0 / qcomp=0.60 / qpmin=10 / qpmax=51 / qpstep=4 / cplxblur=20.0 / qblur=0.5 / ip_ratio=1.40 / pb_ratio=1.30 / aq=1:1.00
Default                     : Yes
Forced                      : No


  


  Output video info :

  


  Video
ID                          : 1
Format                      : HEVC
Format/Info                 : High Efficiency Video Coding
Format profile              : Main 10@L3.1@Main
Codec ID                    : V_MPEGH/ISO/HEVC
Duration                    : 23 min 29 s
Width                       : 960 pixels
Height                      : 540 pixels
Display aspect ratio        : 16:9
Frame rate mode             : Constant
Frame rate                  : 29.970 (29970/1000) FPS
Color space                 : YUV
Chroma subsampling          : 4:2:0
Bit depth                   : 10 bits
Writing library             : Lavc59.5.100 libx265
Encoding settings           : cabac=1 / ref=5 / deblock=1:1:1 / analyse=0x3:0x133 / me=esa / subme=7 / psy_rd=1.0:0.0 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / cqm=2 / deadzone=21,11 / chroma_qp_offset=-2 / threads=1 / nr=0 / decimate=0 / mbaff=0 / bframes=1 / b_pyramid=0 / b_adapt=1 / b_bias=0 / direct=3 / wpredb=1 / keyint=250 / keyint_min=25 / scenecut=40 / rc=2pass / bitrate=2030 / ratetol=1.0 / qcomp=0.60 / qpmin=10 / qpmax=51 / qpstep=4 / cplxblur=20.0 / qblur=0.5 / ip_ratio=1.40 / pb_ratio=1.30 / aq=1:1.00
Default                     : Yes
Forced                      : No
Color range                 : Limited


  


  Expecting (from previous encoded videos) :

  


  Video
ID                          : 1
Format                      : HEVC
Format/Info                 : High Efficiency Video Coding
Format profile              : Main 10@L3.1@Main
Codec ID                    : V_MPEGH/ISO/HEVC
Duration                    : 24 min 37 s
Bit rate                    : 833 kb/s
Width                       : 960 pixels
Height                      : 720 pixels
Display aspect ratio        : 4:3
Frame rate mode             : Constant
Frame rate                  : 23.976 (23976/1000) FPS
Color space                 : YUV
Chroma subsampling          : 4:2:0
Bit depth                   : 10 bits
Bits/(Pixel*Frame)          : 0.050
Stream size                 : 147 MiB
Title                       : HEVC
Writing library             : x265 3.4+28-419182243:[Windows][GCC 10.2.0][64 bit] 10bit
Encoding settings           : cpuid=1111039 / frame-threads=3 / numa-pools=12 / wpp / no-pmode / no-pme / no-psnr / no-ssim / log-level=2 / input-csp=1 / input-res=960x720 / interlace=0 / total-frames=0 / level-idc=0 / high-tier=1 / uhd-bd=0 / ref=5 / no-allow-non-conformance / no-repeat-headers / annexb / no-aud / no-hrd / info / hash=0 / no-temporal-layers / no-open-gop / min-keyint=1 / keyint=360 / gop-lookahead=0 / bframes=4 / b-adapt=2 / b-pyramid / bframe-bias=0 / rc-lookahead=20 / lookahead-slices=4 / scenecut=40 / hist-scenecut=0 / radl=0 / no-splice / no-intra-refresh / ctu=64 / min-cu-size=8 / no-rect / no-amp / max-tu-size=32 / tu-inter-depth=1 / tu-intra-depth=1 / limit-tu=0 / rdoq-level=0 / dynamic-rd=0.00 / no-ssim-rd / signhide / no-tskip / nr-intra=0 / nr-inter=0 / no-constrained-intra / strong-intra-smoothing / max-merge=2 / limit-refs=3 / no-limit-modes / me=1 / subme=3 / merange=16 / temporal-mvp / no-frame-dup / no-hme / weightp / no-weightb / no-analyze-src-pics / no-deblock / sao / no-sao-non-deblock / rd=3 / selective-sao=4 / no-early-skip / rskip / no-fast-intra / no-tskip-fast / no-cu-lossless / no-b-intra / no-splitrd-skip / rdpenalty=0 / psy-rd=0.20 / psy-rdoq=0.00 / no-rd-refine / no-lossless / cbqpoffs=0 / crqpoffs=0 / rc=crf / crf=26.0 / qcomp=0.60 / qpstep=4 / stats-write=0 / stats-read=0 / ipratio=1.40 / pbratio=1.00 / aq-mode=0 / aq-strength=0.00 / no-cutree / zone-count=0 / no-strict-cbr / qg-size=64 / no-rc-grain / qpmax=51 / qpmin=0 / no-const-vbv / sar=1 / overscan=0 / videoformat=5 / range=0 / colorprim=2 / transfer=2 / colormatrix=2 / chromaloc=0 / display-window=0 / cll=0,0 / min-luma=0 / max-luma=1023 / log2-max-poc-lsb=8 / vui-timing-info / vui-hrd-info / slices=1 / no-opt-qp-pps / no-opt-ref-list-length-pps / no-multi-pass-opt-rps / scenecut-bias=0.05 / hist-threshold=0.03 / no-opt-cu-delta-qp / no-aq-motion / no-hdr10 / no-hdr10-opt / no-dhdr10-opt / no-idr-recovery-sei / analysis-reuse-level=0 / analysis-save-reuse-level=0 / analysis-load-reuse-level=0 / scale-factor=0 / refine-intra=0 / refine-inter=0 / refine-mv=1 / refine-ctu-distortion=0 / no-limit-sao / ctu-info=0 / no-lowpass-dct / refine-analysis-type=0 / copy-pic=1 / max-ausize-factor=1.0 / no-dynamic-refine / no-single-sei / no-hevc-aq / no-svt / no-field / qp-adaptation-range=1.00 / no-scenecut-aware-qpconformance-window-offsets / right=0 / bottom=0 / decoder-max-rate=0 / no-vbv-live-multi-pass
Language                    : English
Default                     : Yes
Forced                      : No
Color range                 : Limited


  


  I have tried with simplest ffmpeg from official wedsite and encoding cli but the output still same.

  


  ffmpeg -i "input.mkv" -c:v libx265 "output.mkv"


  


  Update :
Tried converting video with FFmpeg 4.4 "Rao" from https://www.ffmpeg.org/ working fine. But compiled ffmpeg from media-autobuild_suite, tried with light build and full build, Writing library and Encoding settings output still incorrect.