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• ffmpeg error with device when transcoding from HEVC to H.264 on GPU using NVENC [closed]

  5 décembre 2022, par Slakter

  I wanted to transcode my videos that have hevc encoding into h.264 using ffmpeg with Nvidia CUDA acceleration.
Basically I've followed the guide provided in the official documentation and read through CUDA part in here

  


  My GPU is GeForce RTX2060 and the OS is Windows 10

  


  ffmpeg configuration just after start says :

  


  ffmpeg version 5.1.2-essentials_build-www.gyan.dev Copyright (c) 2000-2022 the FFmpeg developers
  built with gcc 12.1.0 (Rev2, 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-zlib --enable-libsrt --enable-libssh --enable-libzmq --enable-avisynth --enable-sdl2 --enable-libwebp --enable-libx264 --enable-libx265 --enable-libxvid --enable-libaom --enable-libopenjpeg --enable-libvpx --enable-libass --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-libgme --enable-libopenmpt --enable-libopencore-amrwb --enable-libmp3lame --enable-libtheora --enable-libvo-amrwbenc --enable-libgsm --enable-libopencore-amrnb --enable-libopus --enable-libspeex --enable-libvorbis --enable-librubberband
  libavutil      57. 28.100 / 57. 28.100
  libavcodec     59. 37.100 / 59. 37.100
  libavformat    59. 27.100 / 59. 27.100
  libavdevice    59.  7.100 / 59.  7.100
  libavfilter     8. 44.100 /  8. 44.100
  libswscale      6.  7.100 /  6.  7.100
  libswresample   4.  7.100 /  4.  7.100
  libpostproc    56.  6.100 / 56.  6.100


  


  So all the required options for Nvidia encoding are in the list.

  


  Then I tried to transcode a video in mkv format with encoding H.265 (hevc) into h.264 using h264_nvenc .
Here is the line

  


   ffmpeg -hwaccel cuda -hwaccel_device 0 -hwaccel_output_format cuda -extra_hw_frames 14 -i .\input.mkv -c:v h264_nvenc -profile:v high444p -pixel_format yuva444p16le -preset lossless -b:v 1M output.mp4 -y


  


  Even when I leave just this, the error is the same

  


   ffmpeg -hwaccel cuda -hwaccel_device 0 -hwaccel_output_format cuda -i .\Violet1.mkv -c:v h264_nvenc output.mp4 -y


  


  Here is the error message :

  


  Stream mapping:
  Stream #0:0 -> #0:0 (hevc (native) -> h264 (h264_nvenc))
  Stream #0:1 -> #0:1 (opus (native) -> aac (native))
Press [q] to stop, [?] for help
[h264_nvenc @ 000002023642d7c0] 10 bit encode not supported
[h264_nvenc @ 000002023642d7c0] Provided device doesn't support required NVENC features
Error initializing output stream 0:0 -- Error while opening encoder for output stream #0:0 - maybe incorrect parameters such as bit_rate, rate, width or height


  


  Also, If I take another file with encoding H.265 (hev1) in mp4 format and use the command below, then it works fine.

  


  ffmpeg -hwaccel cuda -hwaccel_device 0 -hwaccel_output_format cuda -extra_hw_frames 5 -i .\hev1.mp4 -gpu 0 -c:v h264_nvenc -profile:v high444p -preset lossless -b:v 1M output.mp4 -y


  


  It's the same as the first command but with different extra_hw_frames and output file

  


  My guess is that the problem in encoding from mkv or hevc codec specifically or maybe I have to change some options, but I haven't found anything about this error in the net. Thanks everyone how could help

  


• VLC huge buffering times over rtp for local H264 stream

  15 mars 2022, par mike

  I'm outputting an H264 stream, encoded by my application using ffmpeg. I can display it using ffplay, but when trying to view the stream in VLC, I only get the first frame, or it looks like that's the case.

  


  The messages output shows that it is "buffering", taking around a minute to get to 100% when the frame updates.
When using ffplay, the latency is about 50-100ms at worst.

  


  I am sending to rtp://127.0.0.1:6666?pkt_size=1316 with the format rtp_mpegts.
I am new to this and it's highly likely I haven't set the frame up completely correctly. The process is (minus declarations and error checking)

  


  codec_name = "libx264";&#xA;codec = avcodec_find_encoder_by_name(codec_name.c_str());&#xA;context = avcodec_alloc_context3(codec);&#xA;pkt = av_packet_alloc();&#xA;context->bit_rate = 5 * Mega;&#xA;context->width = info.DisplayWidth;&#xA;context->height = info.DisplayHeight;&#xA;context->time_base = { 1, FPS };&#xA;context->framerate = { FPS, 1 };&#xA;context->gop_size = 100;&#xA;context->max_b_frames = 1;            &#xA;context->pix_fmt = AV_PIX_FMT_YUV420P;&#xA;if (codec->id == AV_CODEC_ID_H264)&#xA;            {&#xA;                check_ret("set option: preset", av_opt_set(context->priv_data, "preset", "fast", 0));&#xA;                check_ret("set option: tune", av_opt_set(context->priv_data, "tune", "zerolatency", 0));&#xA;                check_ret("set option: profile", av_opt_set(context->priv_data, "profile", "baseline", 0));                &#xA;            }&#xA;check_ret("open codec", avcodec_open2(context, codec, NULL));&#xA;&#xA;// setup the stream &#xA;fmt = (AVOutputFormat*)av_guess_format("rtp_mpegts", NULL, NULL);&#xA;&#xA;avformat_alloc_output_context2(&amp;avfctx, fmt, fmt->name,&#xA;            "rtp://127.0.0.1:6666?pkt_size=1316"); &#xA;        &#xA;avio_open(&amp;avfctx->pb, avfctx->url, AVIO_FLAG_WRITE);&#xA;AVStream* stream = avformat_new_stream(avfctx, codec);&#xA;avcodec_parameters_from_context(stream->codecpar, context);&#xA;stream->time_base.num = 1;&#xA;stream->time_base.den = FPS;&#xA;avformat_write_header(avfctx, NULL);&#xA;&#xA;// then the encoding (in an output loop)&#xA;<not get="get" frame="frame" from="from" rgba="rgba" to="to" yuv="yuv">&#xA;yuvFrame->pts = i&#x2B;&#x2B;; // i is incremented every frame&#xA;avcodec_send_frame(enc_ctx, yuvFrame);&#xA; while (ret >= 0) {&#xA;  ret = avcodec_receive_packet(enc_ctx, pkt);          &#xA;  //ret = av_interleaved_write_frame(avfctx, pkt); was using this, don&#x27;t seem to need it&#xA;  ret = av_write_frame(avfctx, pkt);&#xA;  av_packet_unref(pkt);&#xA;}&#xA;</not>

  


  The VLC output looks like this :

  


  main debug: using hw decoder module "d3d11va"
avcodec info: Using D3D11VA (NVIDIA GeForce RTX 2080 Super with Max-Q Design, vendor 10de(NVIDIA), device 1e93, revision a1) for hardware decoding
qt debug: Logical video size: 1280x720
main debug: resized to 1280x720
main debug: VoutDisplayEvent 'resize' 1280x720
main debug: Received first picture
main debug: Buffering 1%
main debug: Buffering 2%
main debug: Buffering 3%
main debug: auto hiding mouse cursor
main debug: Buffering 4%
main debug: Buffering 5%
main debug: Buffering 6%
main debug: Buffering 7%
main debug: Buffering 8%
main debug: Buffering 9%
main debug: Buffering 10%
main debug: auto hiding mouse cursor
main debug: Buffering 11%
rtp warning: 1 packet(s) lost
rtp warning: 1 packet(s) lost
rtp warning: 1 packet(s) lost
ts warning: discontinuity received 0x3 instead of 0xd (pid=256)
ts warning: discontinuity received 0x5 instead of 0xf (pid=256)
ts warning: discontinuity received 0x1 instead of 0xb (pid=256)
main debug: Buffering 12%
main debug: Buffering 13%
main debug: Buffering 14%
main debug: Buffering 15%
main debug: Buffering 16%
main debug: Buffering 17%
main debug: Buffering 18%
main debug: auto hiding mouse cursor
main debug: Buffering 19%
main debug: Buffering 20%


  


• ffmpeg status & quality / cuda (CPU/GPU)

  18 juin 2024, par cocco

  ffmpeg am I doing it right ?

  


  So much time has passed since I use ffmpeg to convert clips on my home web server, now that mp4 (h264 & aac) is the current overall standard (works on every console, smartphone, smartTV, pc) I decided to convert my old clips from various digital cameras to to this new container/codecs.

  


  

  1. less space & the same quality.

  


  2. compatibility

  


  3. support for tags (subler for mac)

  


  


  after some research I opted for ffmpeg because of various reasons

  


  

  1. commandline (I made my simple web interface with default settings which I execute with php's exec)

  


  2. the quality/size amount

  


  


  I read that many expensive video conversion software programs are not able to handle low bitrate videos properly. I also tested some of them and personally I could not find the proper export settings or I was not impressed by the results... some had fixed default export settings, most had a lower video quality at the same filesize. ffmpeg allows me to set the -crf (18-24 usually) and -preset (veryslow, fast..) which allows me to reduce the filesize drastically maintaining the same visible quality.

  


  Said that I'm using the preset at very slow (there is also placebo but the final video file is only 1% smaller in size).

  


  And here is the command I use

  


  ffmpeg
-y //overwrite the file if it exists

-i INPUTFILE // replace with the input file

-metadata title=THETITLE // set a nice title, visible on modern devices
-metadata date=THEDATE // set a nice title, visible on modern devices

-c:v libx264 // use the h264 codec
 -crf 21 // try different numbers between 18-26
 -preset veryslow // placebo,slow,fast,ultrafast==big file 
 -tune film // tune it a little
 -pix_fmt yuv420p // preferred on most modern devices
 -profile:v main // preferred on most modern devices
 -level 3.1 // preferred on most modern devices 
 -refs 4 // preferred on most modern devices

-c:a libfdk_aac // use aac
 -metadata:s:a language=eng // set a language, visible on modern devices 
 -b:a 128k // audio bitrate 128k is like mp3 192k
 -ar 48000 // 44100 ... whatever
 -ac 2 // audiochannels
 -movflags +faststart //move the metadata in the front of the video so it loads faster

OUTPUTFILE


  


  Some camcorder clips with m2ts already have the avc/h264 compatible codec so I just copy the stream.
  
some have the ac3/Dolby surround audio. I convert the audio but keep the ac3 as second audio track mapping the ffmpeg streams. this allows me to watch the mp4 on browsers and mobile devices but I'm able to keep the surround sound to playback on some tv's, advanced media players or devices like apple tv.

  


  Not that I'm not happy with the speed (using quad core's) but I recently read again about cuda opencl and there is also the simple fact that I'm not using other converters than ffmpeg since a lot of time.

  


  Is ffmpeg (with the setting I use) a good converter to keep the same video quality than the source reducing the space occupied by and average of 30-40% ?

  


  Is GPU conversion really that bad (cuda .. testing a gtx970) ?
it would be nice to add some more speed to the conversions by using both the gpu and the cpu..but for my understanding they cannot work together ??? and using only GPU is a drastically quality loss...cpu is more precise, GPU is faster in calculation are too imprecise from what I read.. so expensive software programs use cuda only for preview purpose... right ?

  


  Is ffmpeg or another software compatible with CPU+GPU encoding ?
I really don't remember where, but I read that the ffmpeg is not a good videoconverter.

  


  I'm really happy with the size/quality, I gained an average of 30% in space with no visible quality loss. With some extra parameters i can adjust some really old analog videos that are deinterlaced in a really bad way.

  


  


  maybe I could gain more size/quality with another software ???

  


  


  note : I like ffmpeg.it's free and it has commandline so I can create my own interface with php html & js and use it on various machines without the need to install it in every device I use. I upload the idevice clips directly to the ffmpeg server.

  


  EDIT :

  


  @talonmies ...cuda tag removed :

  


  http://www.nvidia.com/object/cuda_home_new.html

  


  


  CUDA® is a parallel computing platform and programming model invented
by NVIDIA. It enables dramatic increases in computing performance by
harnessing the power of the graphics processing unit (GPU). With
millions of CUDA-enabled GPUs sold to date, software developers,
scientists and researchers are finding broad-ranging uses for GPU
computing with CUDA. Here are a few examples : - See more at :
http://www.nvidia.com/object/cuda_home_new.html#sthash.dEYaqae7.dpuf

  


  


  isn't cuda the programming model that a theoretical ffmpeg library should support to handle GPU encoding on nvidia cards like the gtx 970 ?? like the badaboom software http://www.geforce.com/games-applications/pc-applications/badaboom-media-converter.