Ffmpeg cuda vs cuvid. 2 is compiled with hw acceleration enabled.

Ffmpeg cuda vs cuvid In combination with NVENC, it offers full hardware transcoding. mpeg1_cuvid -> Nvidia CUVID MPEG1VIDEO decoder (codec mpeg1video) 6. 1 OS : CentOS7. I'm using GPU As I understand it, cuvid is now depreciated? ffmpeg -c:v h264_cuvid -hwaccel cuvid . AV_LOG_TRACE. png This command successfully leverages the hardware acceleration for the H. mp4 Your Nvidia GPU is updatet with the newest drivers? Last edited by try this command - ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input -c:v h264_nvenc static int cuvid_decode_frame(AVCodecContext *avctx, void *data, int *got_frame Definition: avcodec. nvdec react differently (more, below). To remove ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 10 -i input. /ffmpeg_g -re -hwaccel cuvid -hwaccel_output_format cuda -c:v h264_cuvid -gpu 0 -deint adaptive -resize 1280x720 -drop_second_field 1 -i espnu. 1 -a53cc > Cuda and CUVID are disabled by default and supposed to be "autodetect" during configuration, they are supposed to be added if "--enable-nvenc" . while similar command with hwaccel cuvid allocates 155MB. But, the PNG encode is done by the CPU. 264 -vf "fade,hwupload_cuda,scale_npp=1280:720" -c:v h264_nvenc output. h:3668. 0 q=18. 264 -f rawvideo test. mpeg4 D. mp4 . To compile FFmpeg, the CUDA toolkit must be installed on the system, though the CUDA toolkit The choice on the filter(s) you can use depend on how you build FFmpeg: Use the proprietary CUDA SDK and you'll get scale_npp and scale_cuda, or stick to an LLVM build without the CUDA SDK and you'll still get scale_cuda. mp4. exe -vsync 0 -hwaccel cuvid -hwaccel_output_format cuda -c:v h264_cuvid -i video. 0 NVENC so, Is it possible to increase support for gpu acceleration? my ffmpeg ffmpeg version N-878 ffmpeg -hwaccel cuvid -c:v h264_cuvid -i in. mkv -c:a copy -vcodec hevc_nvenc -preset p1 -c:s copy -y C:\outputfile. AVHWAccel. When decoding files with CUDA on mpv I get some garbage lines on the bottom, I have only been able to reproduce it with a single file, so it may be an issue with the aspect ratio of the file? I'm not sure. @langdalepl - you mentioned earlier in the thread about working on bwdif_cuda - did that ever get finished? [FFmpeg-user] what is the difference between hwaccels cuda and cuvid? Roman Gorelik roman. exe. 695s (CPU, 24 cores) vs. 22 CUDA Version : 8. 多路监控视频流cpu占用率高，并且cuvid不支持直接解码rtsp流。 利用ffmpeg解析rtsp流，在gpu端利用cuda 的视频解码器cuvid来解码，并将NV12转化为RGBA格式。 Ref & Thanks You can wire up CUVID decoding to bypass that :) Try ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i c:\filename. My FFmpeg 3. Generated on NVIDIA CUDA or NVENC-based acceleration is widely used for 4K video transcoding/playback programs or tools like FFmpeg, Final Cut Pro, MacX Video Converter Pro, and other multimedia software to speed up Say I'm using av_hwdevice_find_type_by_name("cuda"), as in here. avi But i need to crop video file to 16:9 aspect ratio. ts output of my commands: Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company CUDA Deinterlace $ ffmpeg -hwaccel cuvid -c:v mpeg2_cuvid -i INPUT -vf hwdownload,format=nv12,yadif,hwupload_cuda -preset fast -acodec aac -ar 44100 -ac 2 -b:a 96k -vcodec h264_nvenc -b:v 2500k -maxrate 3000k 7 * FFmpeg is free software; you can redistribute it and/or. mkv Note I removed CRF since (as far as I know) this is not a feature in NVENC (only in x264 / x265 and libvpx_vp9 / libaom_av1) Reply Filter the word “frame” indicates either a video frame or a group of audio as stored in an AVFrame structure Format for each input and each output the list of supported formats For video that means pixel format For audio that means channel sample format(the sample packing is implied by the sample format) and sample rate. /ffmpeg -i ~/Videos/1080. png Check the GPU compatibility table to see if your GPU can decode H. So I try to use nvidia cuda to accelerate it. I got it working using software-decoding + hardware-encoding, and What i really need is some guidance how to remove FFMPEG and recompile it with cuvid / cuda support (as cant find a good guide) If anyone can share or point me in the right direction that would be great its a tad beyond my skillset. -q:v 1 is ignored by PNG so I omitted it. #define AV_LOG_TRACE. /configure and nonfree Messages sorted by: Not sure how this can be done with NVidia/Cuda as I'm not familiar with. exe file to Windows and tried to execute it I got an errore message saying the executable was missing some npp_*. 4kbits/s dup=0 drop=80 speed=7. I am also able to transcode using the cpu using the following code with the fluent-ffmpeg library for node. You switched accounts on another tab or window. Below is the preferable syntax for on-GPU transcoding: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input. mp4 -c:v h264_nvenc -v:b 5M output. xz couldn't be Problem solved! It appears to be the cuda file's problem. Cause: I followed specific instructions which pinned nv-codec-headers to n8. mp4" echo -e "\n 👉 Wall times for tested run:\t15. 5. Right now, I am at the stage where I am just trying to determine if the To automatically detect NV-accelerated video codec and keep video frames in GPU memory for transcoding, the ffmpeg cli option "-hwaccel cuda -hwaccel_output_format cude" is -c:v h264_cuvid is calling CUVID, which is slower and less efficient than NVENC. mp4 -c:v h264_nvenc -cq 21 -c:a copy output. Top. 129 Video_Codec_SDK_9. I have nvidia-dkms, nvidia-utils and cuda properly installed on both machines. Next message (by thread): [FFmpeg-user] what is the difference between hwaccels cuda and cuvid? Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] On Tue, Nov 06, 2018 at 12:32:52 +0200, Roman Gorelik wrote: > Can someone explain please what is the difference between hwaccels cuda and > cuvid? Example command, input. c:458. Note. mp4 -c:v h264_nvenc -an -dn output. I want to use h264_cuvid code to do GPU hardware accelerating instead of CPU encoding or decoding. Magic919 Posts: 1381 Joined: Wed Sep 18, 2013 6:56 am. list/save static int cuvid_decode_frame(AVCodecContext *avctx, void *data, int *got_frame, AVPacket *avpkt) Definition: cuvid. ffmpeg GPU use cuvid with hwdownload will never finished, Appeared only recently. I tried a lot of combinations and codes but no luck. cuvid_decode_end. On what field of what 1. LS h264 DEV. ffmpeg -hwaccel cuvid -c:v h264_cuvid -resize 224x224 -i {input_video} \ -vf thumbnail_cuda=2,hwdownload,format=nv12 {output_dir}/%d. ffmpeg -c:v h264_cuvid -i "Input1. and I can't decode properly. 05 bitrate=1015. mkv ffmpeg finishes and seems to be unable to open cuvid functions: To compile FFmpeg, the CUDA toolkit must be installed on the system, though the CUDA toolkit is not needed to run the FFmpeg compiled binary. I can usually fix these issues by rebuilding the package, however, when I tried to rebuild it today the PGP signature of ffmpeg-7. com Tue Nov 6 12:32:52 EET 2018. Next message (by thread): [FFmpeg-user] what is the difference between As the title said,I was trapped to How to transfer FFmpeg's AVPacket to CUVID's CUVIDSOURCEDATAPACKET,and my main code about this question is below:` AVPacket* avpkt; avpkt = (AVPacket*)av_malloc( Out of curiosity I just ran some tests to get an idea of the difference in quality, if any, between yadif, yadif_cuda, cuvid deint and mcdeint. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Visit the blog ffmpeg 4. I'm running this: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i 1080p_h264_file. 1 release with a simple full hardware transcode using h264_nvenc in comparison with FFmpeg 4. There are two ways to utilize Nvidia decoder and avoid copying data to memory. I am trying to encode a 10-bit H. /configure --enable-cuda --enable-nvenc --enable-cuvid Then, I used ffmpeg with the following command line: ffmpeg. 8 * modify it under the terms of the GNU Lesser General Public. int dummy. Decoder h264_cuvid [Nvidia CUVID H264 decoder]: General capabilities: delay avoidprobe hardware Threading capabilities: none Supported hardware devices: cuda Supported pixel formats: cuda nv12 p010le p016le h264_cuvid AVOptions:-deint <int> . Copy. 0 has released the NVIDIA NVDEC-accelerated H. c:262. I’ve noticed a drop in performance testing the recent FFmpeg 5. ts -vcodec h264_nvenc -refs 4 -bf 2 -c:a copy -f mpegts -y /dev/null and cuvid with limiting surfaces to 10 (which are enough for this input) allocates 125 MB I compiled ffmpeg with the following flags:. errors found testing w cuda vs just CPU . Definition: pixfmt. 1 and run command: . 3 The compilation completed successully. mkv -c:a aac -c:v h264_nvenc \ -c:s webvtt -crf 20 - ffmpeg -vsync 0 -hwaccel cuvid -i UPL_MmrXRhwoub. BUT When I decode this 264 file by my code use 'h264_cuvid' decoder, something problem happens, this is my code: ffmpeg -hwaccel cuvid -c:v h264_cuvid -resize 120x70 -i video_source \ -vf "thumbnail_cuda=2,hwdownload,format=nv12" \ -vframes 1 frame. static enum AVPixelFormat pix_fmts[] Definition: libkvazaar. Reading other threads, CUVID is the "old" cuda decoding, and NVDEC is the newer decoding. Codec is backed by a hardware implementation. At this point, any pod with the GPU resources set and the right nodeAffinities will schedule on the GPU nodes and have access to the GPUs. Follow edited May 26, 2017 at 13:22. I go to /usr/local/cuda/lib64, there is no libnvcuvid. #define AV_CODEC_CAP_HARDWARE. Codec support varies by hardware. 1 toolkit) with the now-inbuilt GPU based YADIF_CUDA deinterlacer mentioned Then with cuda but it does not convert to h265 ffmpeg -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i input. Appreciate the help Thanks Jamie. AV_PIX_FMT_CUDA. tar. hw_accel option takes string values and pass it to torch. The test was based on the Big Buck Bunny movie and the procedure should be self-evident from the commands below, but roughly: transcode the original to NV12 lossless, use this as the base for comparison create an The hwupload_cuda may be the culprit, the frames are decoded on the GPU and kept there (that's what -hwaccel_output_format cuda is for). Share. Credits: this post , this one , and this one pointed me in the right direction to figure out the proper syntax for hardware acceleration with CUDA. While I tried to get the hardware decoder by name: mVideoCodec = avcodec_find_decoder_by Environment: In nvidia docker: ffmpeg version 4. mp4 -c:a copy-c:v h264_nvenc -b:v 5M output. If a non-NULL context is specified in CUVIDDECODECREATEINFO, the codec library will acquire the mutex associated with the given context before making any cuda calls. com Wed Sep 11 13:49:40 EEST 2024. mkv -vf scale_npp=1280:720 -b:a 320k -c:v h264_nvenc -preset slow -rc vbr_hq -b:v 3M -maxrate:v 4M /data/out. ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. So this is my FIX/HACK to only specify -cuvid and ffmpeg will This is a command I used that worked with scale_npp instead of scale_cuda. results in a cropped output, but with the error: but I just couldn't get ffmpeg to use cuda or nvenc codec on the RTX 3050 from the command line. mp4 -c:v h264_nvenc -c:a aac -ac 2 -b:a 128k -strict -2 -filter_complex "[0:v]scale_npp=1280:-2" ouzz2t. /configure --enable-nvenc | grep cuvid cuvid vaapi xvmc adpcm_ima_ea_sead cllc h264_cuvid adpcm_ima_rad cscd hevc_cuvid atrac3pal evrc mjpeg_cuvid mpeg1_cuvid pcm_u8 svq3 mpeg2_cuvid pgm targa_y216 ffmpeg 4. mp4 -c:a copy -c:v h264_nvenc -b:v 5M output. 18. hevc_cuvid -> Nvidia CUVID HEVC decoder (codec hevc) 3. mp4 output. 265 video from a 8-bit H. Ivan Kolesnikov. mp4 Relevant video decoder will be selected automatically from the list of codecs supported by cuda hwaccel. So I'm trying to get hardware accelerated encoding working (just nvidia for now), and boy oh boy is this an adventure. CPU decode VS GPU decode. ffmpeg -codecs |grep '\(nvenc\|cuvid\)' should show some codec with nvenc|cuvid support DEV. mpeg1video DEV. 952s" In an older version of ffmpeg (from 2017) I used this line: fmpeg -hwaccel cuvid -i input -c:v hevc_nvenc -preset slow -rc vbr_hq -b:v 4M -c:a aac output. 3/4. HW acceleration through CUDA. I would like to understand why the newer decoding isn't working for me. mp4 -s 224x224 -f image2pipe - -vcodec rawvideo With saving JPG's on disk, I don't have any problems. exe I copied all the dlls included into the folder npp\bin to the same directory I put ffmpeg. 981102 too large frame=83 fps=0. mkv video. txt ffmpeg-transcode-8fa45245-4e61-486e-b34f-637673ebb748_1. mjpeg_cuvid -> Nvidia CUVID MJPEG decoder (codec mjpeg) 5. The first one will use old cuvid decoder path and the second one use nvdec accelerator path. Previous message (by thread): [FFmpeg-trac] #11245(undetermined:new): FFMPEG SLOW FOR HEIC TO PNG WITH HEVC_CUVID Next message (by thread): [FFmpeg-trac] #11245(undetermined:new): Doesn’t matter, since we’re talking about HW accel through CUDA. mp4 -c:v h264_nvenc output. I use Tdarr to bulk test/modify my media but I found a small percentage of my files fail the long health checks when I specify hw Hi, Recently I’ve created some test runs for transcoding given MP4 files using FFmpeg with GPU acceleration. 04 64 bit; ffmpeg 3. You should ask UPDATE: This seems to be caused by using consecutive B-Frames in the encoder options. 61_win10. And I need to do it as fast as possible. 42x frame=96 fps=90 q=18. mpeg2video DEV. HEVC accel is supported and does work on Windows through CUDA on the 770. av_hwframe_transfer_data. If you don't want to re-encode your video and your player can handle rotation metadata, you can just change the rotation in the metadata using FFmpeg with the flag display_rotation with the values 0, 90, 180 and 270:. mp4 Problem This command reached a speed of 33x on a GTX 1650 and I couldn't make it go faster, so I asked my friend with a RTX 3070 (which has much more CUDA cores) and the max I have a python script as below to read byte_stream from video. c:667. mp4" -c:v h264_cuvid -gpu:v 1 -preset slow -c copy "c:\testingvids\AEON FLUX 2005 nvidia. mkv" -c:v h264_nvenc -filter_complex "hwupload_cuda,[0:v]scale_cuda=w=1920:h=1080:format=yuv420p:interp_algo=lanczos;[0v][1:v]hstack,hwdownload,format=yuv420p" FFmpeg. The GTX 770 does NOT support H. mkv -pix_fmt yuv420p10le -c:v libx265 -crf 21 -x265-params profile=main10 out. I installed latest nvidia drivers, CUDa nad compiled lates ffmpeg. When use ffmpeg,log : root@295d3ff3f717:/mnt/app# ffmpeg -hwaccel cuvid -c:v h264_cuvid -i 3115e810-c601-4193-9e58-003f4d24347a. 0 NVENC so, Is it possible to increase support for gpu acceleration? my ffmpeg ffmpeg version N-878 Example command, input. Hi, I have a ffmpeg cmd : ffmpeg. ffmpeg -re -threads 0 -loglevel debug -hwaccel cuvid -hwaccel_output_format cuda -i 1. On what field of what Cuvid vs Nvenc . ffmpeg cannot do it, and all the Several CUDA filters exist in FFmpeg that can be used as templates to implement your own high-performance CUDA filter. Improve this answer. static int cuvid_output_frame(AVCodecContext *avctx, AVFrame *frame) Definition: cuviddec. d # Here I removed files like cuda-9-0-xxx. More posts you may like. dummy. ffmpeg -display_rotation 90 -i input. 264, HEVC, MJPEG, MPEG-1/2/4, VC1, VP8/9 hwaccel decoding added. 0 size=502kB time=00:00:04. 20 nv-codec-headers-n9. Then with cuda but it does not convert to h265 ffmpeg -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i input. I'm experimenting with using hardware-accelerated transcoding on a Nvidia RTX 2080 Super. Ask Question Asked 4 years, 6 months ago. scale_cuda . After installation, we could decode a real-time H. jpg There was my python code for testing these commands: ffmpeg -hwaccel cuvid -c:v h264_cuvid -crop 10x100x10x100 -i input. -hwaccel cuda -hwaccel_output_format cuda -c:v hevc_cuvid -i file-hwaccel cuda -hwaccel_output_format cuda -i file. I don't know correct solution for this yet. mkv. mp4 -vfhwdownload ,format=nv12 . I use nvidia-smi for check dec/enc load. 264 Read this to learn more about scale_npp vs. answered Oct 22, Hello @rzzbu5l, FFmpeg sources have been updated since the article was published. 264 source using ffmpeg with CUDA hardware acceleration. Improve this question. Extra notes: For full hardware 7 * FFmpeg is free software; you can redistribute it and/or 8 * modify it under the terms of the GNU Lesser General Public 9 * License as published by the Free Software Foundation; either Filter the word “frame” indicates either a video frame or a group of audio as stored in an AVFrame structure Format for each input and each output the list of supported formats For video that means pixel format For audio that means channel sample they are references to shared objects When the negotiation mechanism computes the intersection of the formats supported at each end of I want to run ffmpeg with cuvid hw-accelerated decoding in the container based on official nvidia/cuda image. FFmpeg GPU-accelerated video processing integrated into the most popular open-source multimedia tools. Previous message (by thread): [FFmpeg-user] A query on using the OpenCL tonemap filter from derived OpenCL device contexts from VAAPI. ffmpeg -hwaccel cuvid -c:v h264_cuvid -resize 1920x1080 -i INPUT -c:v hevc_nvenc -map 0 OUTPUT. 0 FFMPEG version : 3. yuv ffmpeg -i input. Currently, hw_accel option and add_basic_video_stream() are not ffmpeg -y -vsync 0 -hwaccel cuvid -hwaccel_output_format cuda -hwaccel_device 0 -c:v hevc_cuvid \ -i 0. Post by It seems ffmpeg is cross-compilable (non-free, using the new nvidia CUDA 10. r/DataHoarder • We were facing issue when using -hwaccel cuvid we have to also specify input decoder like -c:v XXXX_cuvid for every input and input video format was sometimes mpeg2/h264/hevc. Commented Nov 12, 2018 at ffmpeg. Jamieeburgess Posts: 24 Joined: Mon Jan 06, 2020 3:48 pm. Postprocessing may also use CUDA capabilities. h264_cuvid -> Nvidia CUVID H264 decoder (codec h264) 2. mp4" echo -e "\n 👉 CPU encoding test:\n" echo -e "time ffmpeg -y -i input. mp4 -vf "hwupload_cuda,thumbnail_cuda=100,scale_cuda=107:60,hwdownload,fo You signed in with another tab or window. The following command uses the built in resizer in cuvid decoder. png ffmpeg -y -hwaccel cuvid -c:v h264_cuvid -deint 2 -i "udp://IP:PORT" -map 0:#0x0781 -map 0:#0x0782 -vcodec h264_nvenc -acodec libfdk_aac -f flv rtmp: How can I transcode this UDP stream to FLV stream with CUDA decoding? ffmpeg; decoding; cuvid; Share. opencv. 9 * License as published by the Free Software Foundation; either. list. mp4 -c:a copy -c:v h264_nvenc output. js You signed in with another tab or window. I was getting AV_PIX_FMT_NV12 from cuvid (mjpeg_cuvid decoder), and wanted AV_PIX_FMT_CUDA for cuda processing. static int CUDAAPI FFmpeg resize using CUDA scale (filter scale_cuda is GPU accelerated video resizer ), full hardware transcoding example: CUDA Deinterlace $ ffmpeg -hwaccel cuvid -c:v mpeg2_cuvid -i INPUT -vf hwdownload,format=nv12,yadif,hwupload_cuda -preset fast -acodec aac -ar 44100 -ac 2 -b:a 96k -vcodec h264_nvenc -b:v 2500k -maxrate 3000k -bufsize 5000k -g 150 -qmin 1 When doing cpu encodes I have found I can slightly improve encode speeds by letting my GPU do the decoding first, on Nvidia you can add -c:v h264_cuvid or -c:v hevc_cuvid before the input file, so ffmpeg -c:v h264_cuvid -i file. I try to generate thumbnails with acceleration on GPU, so compile ffmpeg 3. Re: Recompile FFMPEG with Next, it will compare it with the strings from a global variable hwaccels (defined in ffmpeg_opt. mp4 Older versions of FFmpeg that doesn't support the flag display_rotation can modify the metada Unfortunately, the -crop option provided by the h264_cuvid requires putting the -crop tag ahead of the input file, like ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –crop 16x16x32x32 -i input. mp4 -c:a copy -c:v h264_nvenc The Provided FFmpeg projects and builds have now been updated to take advantage of the newly merged NVIDIA CUDA and CUVID hardware acceleration capablilities. Any ideas? Many thanks! Ffmpeg # CUDA/CUVID/NVDEC # Full Hardware Transcoding vs Partial Hardware Transcoding. mp4 -codec copy output. 1 of the License, or (at your option) any later version. Without CUDA hevc_cuvid ffmpeg do the job but complex filter use alot of system CPU ( it takes echo -e "time ffmpeg -y -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 4 -i input. 2 is compiled with hw acceleration enabled. /ffmpeg -hwaccel cuvid -c:v h264_cuvid -i /data/1920x800. cuvid_output_frame. FFmpeg is one of the most popular open-source multimedia manipulation tools with a library of plugins that can be applied to various parts of the How to get FFmpeg to export the needed symbols on (K)ubuntu cosmic/disco (and similar distros) so OBS and MPV can use NVENC and NVDEC by installing the FFmpeg Nvidia dynamic linker code - omen23/ffmpeg-ffnvcodec-explanation >From f6f0afffadfc5fae97b11b0feb7c1d740b7c86ab Mon Sep 17 00:00:00 2001 > From: Kyle Swanson <kswanson at netflix. When I copied the ffmpeg. cuvid_handle_picture_display. gorelik at gmail. c:64. 1 Video encoding is OK by using following command . and ffmpeg -c:v h264_nvenc -hwaccel_output_format cuda. Sort by: % ffmpeg -c:v h264_cuvid -i <inputfile> \ -c:v h264_nvenc -bf:v 1 -c:a copy <outputfile> If you feed cuda frames to nvenc by using hwupload_cuda, bframes work as expected, so this can't be a bug in the ffmpeg CUDA frame input code in nvenc, leaving only a weird driver bug. FFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. CUVID offers decoders for H. For -crf replacement from libx264 may be -cq or -qp from h264_nvenc:-crf Select the quality for constant quality mode-cq Set target quality level (0 to 51, 0 means automatic) for constant quality mode in VBR rate control-qp Constant quantization parameter rate control method (from -1 to 51) (default -1). Commented Aug 8, 2020 at 11:44. exe -hwaccel cuvid -c:v h264_cuvid -i video. 5 and that hasn't been fixed on opencv with the newer versions of cuda that doesn't used nvcuvid. Using CUDA (on a Pascal 1050 Ti), I expect the corresponding command to be In order to save CPU, I'm doing the decoding part with the codec h264_cuvid. mov -c: v h264_nvenc -preset slow -movflags faststart -profile: v baseline -max_muxing_queue_size 9999-vf "scale_npp=1280:720: All of this without complexity of installing FFMPEG, CUDA I am trying to applay complex filter through CUDA hevc_cuvid with GPU nvidia GeForce GTX 1080 with ffmpeg, input is 10bit 4k hevc video mkv. 0 size=643kB ffmpeg -hwaccel cuda -i input. 265/HEVC. com Tue Nov 6 17:10:17 EET 2018. Can anyone help cant seem to find how to use hwaccel with the 265 encoder and decoder Share Add a Comment. dll. mp4 -c:v h264_nvenc output-nvenc. I don't use FFMPEG, but I used mencoder which uses FFMPEG under the covers and I frequently run multiple instances simultaneously (I wrote a simple front-end that makes it very easy to fire off several concurrent transcodings. But, for better comparison, we first run FFmpeg with Free a given reference and automatically free the buffer if there are no more references to it FFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. asked FFmpeg. ts -filter_complex "[0:0]split=2[v0][v1];[v1]scale_npp=640:360[v2]" -map [v0] -map 0:1 -map [v2] -map 0:1 -c:v:0 h264_nvenc -b:v:0 2200k -gpu:v:0 0 -preset:v:0 hp -profile:v:0 high -level:v:0 4. Luke Next message (by thread): [FFmpeg-user] what is the difference between hwaccels cuda and cuvid? Messages sorted by: [ date ] [ thread ] [ subject ] [ author ] On Tue, Nov 06, 2018 at 12:32:52 +0200, Roman Gorelik wrote: > Can someone explain please what is the difference between hwaccels cuda and > cuvid? 2. Without hardware acceleration, a typical command would be ffmpeg -i input. mkv -noautoscale -filter_complex [0:0]scale_cuda=1280:-2[out] -map [out] -c:v hevc_nvenc -cq 28 output. When it was working you could build with NVCUVID enable and use opencv cudavideoReader. L. txt. ChangeLog · opencv/opencv Wiki · GitHub I am running opencv and using the ffmpeg backend with cuda acceleration using the python API. Follow edited Nov 14, 2020 at 20:38. see more ffmpeg 4. FFmpeg internal API for CUDA. ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –resize 1280x720 -i input. mp4 -c:v h264_nvenc -b:v 5M -y output. Combined with the existing NVENC functionality it is now possible to have a complate decode (using CUVID) and encode (using NVENC) chain accelerated complatetly using NVIDIA NVDec is simply a marketing rebranding of CUVID. Reload to refresh your session. org Mon Oct 14 22:49:09 EEST 2024. I believe this is something that used to work with cuda 7. yuv works fine, the generated yuv file is ok. av1_cuvid -> Nvidia CUVID AV1 decoder (codec av1) 4. 11 * 12 * FFmpeg is distributed in the hope that it will be useful, 13 * but WITHOUT ANY WARRANTY; As we can see, no h264_cuvid The same version of ffmpeg is installed on both machines. h:3662. The I am trying to use Nvidia hardware acceleration for FFmpeg using cuvid. mp4 -c:v libx265 -crf 26 -preset fast -c:a aac -b:a 128k output. There are 2 types of problems when using adaptive deinterlace with cuvid:. Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company As I understand it, cuvid is now depreciated? ffmpeg -c:v h264_cuvid -hwaccel cuvid . NVDEC accelerator -hwaccel cuda is preferred to the legacy CUVID decoder, so the h264_cuvid is not required unless you want to use it's builtin resize and deinterlace It says that the supported pixel formats are: cuda, nv12, p010le and p016le. comments sorted by Best Top New Controversial Q&A Add a Comment. Current workaround is to use the scale_cuda filter with passthrough disabled: -vf scale_cuda=passthrough=0. fmpeg -i input. I know, by experience, that when using the cuda/cuvid decoder I get frames in the AV_PIX_FMT_NV12 format, even though every struct I look at says either AV_PIX_FMT_NONE or AV_PIX_FMT_YUV420P. mp4, which only allows one output file. 3. Can anyone help cant seem to find how to use hwaccel with the 265 encoder and decoder Sample decode using CUDA/NVDEC: ffmpeg -hwaccel cuda -i input. They both fail, but in different ways. com> > Date: Mon, 28 Aug 2023 11:49:34 -0700 Context-locking: to facilitate multi-threaded implementations, the following 4 functions provide a simple mutex-style host synchronization. 0 -i test. 265 decode. I see that with newer versions of ffmpeg the line needs to be modified a little to this: ffmpeg -hwaccel nvdec -i input -c:v hevc_nvenc -preset slow -rc vbr_hq -b:v 4M -c:a aac output ffmpeg: NVidia hardware encoder `h264_nvenc` and hardware decoder `h264_cuvid` - Documentation (Nov 2020) - ffmpeg -h decoder=h264_cuvid env: ubuntu 16. A multi-threaded application could create a lock ffmpeg -codecs | grep cuvid ## ffmpeg -hwaccel cuda -hwaccel_output_format cuda -c:v h264_cuvid -i a. e. 2. 06, so ffmpeg cannot find the right files. No, it does matter and you are missing a few details. So how do I get ffmpeg to use hardware acceleration? Note 1: I’ve been able to use the acceleration through gstreamer, but I can’t use that in my software for I FFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. In fact, if I do the command: ffmpeg -hwaccels but I had a similar problem and managed to solve it. Hardware accelerated decode/encode worked fine on the Intel GPU using dxva2 and hevc_qsv codec. 1 FFmpeg supports GPU acceleration through a feature called CUDA, which is NVIDIA's parallel computing platform and API. Create high-performance end-to-end hardware-accelerated video The question is whether it's possible to use CUDA cores to decode and encode video faster than the hardware engines (NVDEC and NVENC). h:248. 0. 2 build whih cuda cuvid libnpp use ffmpeg cmd: ffmpeg -vsync 0 -c:v h264_cuvid -i test. c) to derive HWAccelID. But this is how I managed to do it with Direct3D (D3D11va) that might help you to translate it to your situation:- audio codec convert cuda cuvid decklink encoder fdk-aac fdkaac hwaccel libnpp media nvenc svt video ffmpeg got updated today along with libjxl which broke the package since it was looking for the old version. AV_CODEC_CAP_HARDWARE . static av_cold int cuvid_decode_end(AVCodecContext *avctx) HW acceleration through CUDA. However, if I use cuvid instead of nvdec, it works just fine. Previous message (by thread): [FFmpeg-user] what is the difference between hwaccels cuda and cuvid? Next message (by thread): [FFmpeg-user] what is the difference between hwaccels cuda and cuvid? I can run this from the commandline to transcode a video to 720p: ffmpeg -vsync 0 -hwaccel cuvid -hwaccel_device 0 -c:v h264_cuvid -i input. so, although there are all required cuda libs. 15. So, the order of commands I used I have forgotten, but was roughly like below in order to remove nvidia drivers and cuda software; sudo apt remove cuda sudo aot-get autoremove --purge cuda cd /var # Here I removed files like cuda-repo-9-0-local-xxx cd /etc/apt/sources. I'm testing the exit code of command ffmpeg ($?). having cuvid as an option in the hardware acceleration drop-down would be nice to speed up encoding that little bit while Yes, you are correct - I pulled the master, and now it builds. Related topics Topic Replies Views What is the difference between OpenCV CUDA vs. 1. GPU : Quadro P2000 NVIDIA Driver Version: 387. Previous message (by thread): [FFmpeg-user] Using FFMpeg with Nvidia CUDA to crop and scale videos Next message (by thread): [FFmpeg-user] Regarding . When you use -hwaccel nvdec, ffmpeg assigns I am using avcodec_decode_video2() to decode a particular video without enabling any GPU hardware support. 06, and no libnvidia-encode. pix_fmts. 129. From the package cuda_8. static int CUDAAPI cuvid_handle_picture_display(void *opaque, CUVIDPARSERDISPINFO *dispinfo) Definition: ffmpeg -hwaccel cuda -i 12. With ffmpeg I can reproduce by decoding with CUDA to an image % ffmpeg -c:v h264_cuvid -ss 00:00:10. mpeg2_cuvid -> Nvidia CUVID MPEG2VIDEO On Debian I build ffmpeg deb packages with cuda support from the sources, let me know if you're interested. Are there any comparable issues? Any hints to diagnose this? Are benchmark results For doing GPU & CPU, you could do both in separate processes. but i want to use the code in python: import ffmpeg process1 = ( ffmpeg -vsync 0 -c:v h264_cuvid -i input. mkv" -c:v h264_cuvid -i "Input2. wav -hwaccel cuda -hwaccel_output_format cuda -f wav -ar 16000 -ab 12800 -ac 1 output. You signed out in another tab or window. – Alex. In terms of performance, don't expect much parity between them in terms of performance; both will run on the GPU either way. Is there a test I could run at the command line to ensure nvdec is available? embyserver. Here's what I've tried so far: ffmpeg -vsync 0 -hwaccel cuvid -i input. mp4 -resize resolution on input As the title said,I was trapped to How to transfer FFmpeg's AVPacket to CUVID's CUVIDSOURCEDATAPACKET,and my main code about this question is below:` AVPacket* avpkt; avpkt = (AVPacket*)av_malloc( This can arise due to a version mismatch between nv-codec-headers and FFmpeg. 264 decode using CUVID: ffmpeg -c:v h264_cuvid -i input. The ffmpeg -i <inputfile> \ -filter:v hwupload_cuda,scale_npp=w=1920:h=1080:format=nv12:interp_algo=lanczos,hwdownload \ -c:v hevc_nvenc -profile main -preset slow -rc vbr_hq \ -c:a copy <outputfile> Note that this encode method lacks 10-bit support and is in the 4:2:0 color space. 8 but left FFmpeg at master. h:260. mp4 By specifying hw_accel option, you can convert the decoded frames to CUDA tensor. Definition: codec. Copied! ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –resize 1280x720 -i input. I found that [FFmpeg-user] what is the difference between hwaccels cuda and cuvid? Roman Gorelik roman. How can i do this? I’m trying this: I have been trying to find documentation for about an hour and gave up, deciding to recompile 4. mp4 -vf scale_npp=-1:720 -c:a copy -c:v h264_nvenc -b:v 5M output2. so. 4 cuda:10. mp4 -vf fps=1/2 output-%04d. vp9 You might need -c:v h264_cuvid (or another cuvid decoder if you're not decoding h264) before your input as well to specify you want to decode with cuvid and not the software decoder. vp8 And from there you could use ffmpeg commands for GPU accelerated video conversion via CUDA support: ffmpeg -hwaccel cuvid -hwaccel_output_format cuda -i video. CV-CUDA. (CUDA, RTX 3080) 4. mp4 -loop 1 -t 75 -i overlay how do I move frames to and from the system RAM? Do I need to use hwdownload and hwupload_cuda? – MorenoGentili. c:644. Ffmpeg is not able to find libnvcuvid. Both use a dedicated video engine. 264, HEVC, MJPEG, MPEG-1/2/4, VP8/VP9, VC-1. vp8 DEV. txt hardware_detection-63784828026. GPU-Accelerated Libraries. V. mp4" This produced a 828x processing speed: But for taking that same file and compressing it I seem to only get a ~8x 多路监控视频流cpu占用率高，并且cuvid不支持直接解码rtsp流。 利用ffmpeg解析rtsp流，在gpu端利用cuda 的视频解码器cuvid来解码，并将NV12转化为RGBA格式。 Ref & Thanks static av_cold int cuvid_decode_init(AVCodecContext *avctx) Definition: cuvid. ts is a 1080i50 file: ffmpeg -hwaccel cuvid -c:v h264_cuv It is great to see that yadif_cuda and scale_cuda can now be used in FFmpeg without the CUDA SDK runtime dependency. h:145. mp4 -vf hwdownload,format=nv12 -q:v 1 -qmin 1 -qmax 1 -start_number 0 f%d. I try as follow, but it not work. > > We were facing issue when using -hwaccel cuvid we have to also specify input decoder like -c:v XXXX_cuvid for every input and input video format was sometimes mpeg2/h264/hevc. My attempt: ffmpeg -y -hwaccel cuda -hwaccel_output_format cuda -c:v h264_cuvid -f lavfi -i testsrc="duration=5:size=1920x1080:rate=25" -c:v copy test. I compile ffmpeg follow this post However, there isn't any example to use it with audio. Members Online • mervincm . A ton of CUDA and NVidia packages (all?) are also installed (more than on my machine with the RTX 2060). FFmpeg is one of the most popular open-source multimedia manipulation tools with a library of plugins that can be applied to various parts of the ffmpeg -y -hide_banner -threads 8 -hwaccel cuda -hwaccel_device 1 -hwaccel_output_format cuda -v verbose -i "c:\testingvids\AEON FLUX 2005. There's no practical differences with performance between the two, but it's annoying how nvdec just doesn't work. 264 RTSP video stream to check if we have already succeeded. You can always track GPU utilization and memory transfers between host and device by second idea check to what format your gpu can decode into with ffmpeg -hide_banner -h decoder=h264_cuvid (hevc_cuvid for hevc, duh) Recently I’ve created some test runs for transcoding given MP4 files using FFmpeg with GPU acceleration. CUVID, which is also called NVDEC by NVIDIA now, can be used for decoding on Windows and Linux. mp4: [FFmpeg-trac] #11245(undetermined:new): FFMPEG SLOW FOR HEIC TO PNG WITH HEVC_CUVID FFmpeg trac at avcodec. . it has neither nvdec, nor cuda. Try running ffmpeg -h decoder=h264_cuvid So, I want to create streams of multiple resolutions for hls streaming. So this is my FIX/HACK to only specify -cuvid and ffmpeg will pick cuvid decoder for any supported input. c:491. r/DataHoarder • What data do you think is at risk of being deleted/paywalled with the rise of AI and politics of Big Tech? Say I'm using av_hwdevice_find_type_by_name("cuda"), as in here. png Sample H. my FFmpeg does have h264_cuvid cod static int cuvid_test_dummy_decoder(AVCodecContext *avctx, const CUVIDPARSERPARAMS *cuparseinfo, int probed_width, int probed_height) Definition: cuvid. wav BTW: I also read on the “help” information, that it is possible to pass “Time Stamps”,--copy-timestamp <st> <fps> Enable copy timestamp with start timestamp(st) in seconds for decode fps(fps) (for input-nalu mode) NOTE: copy-timestamp used to demonstrate how timestamp can be associated with an individual H264/H265 frame to achieve video Hi ffmpeg from git is running OK with cuda 9. 10 * version 2. 4. hevc DEVIL. Yes, the only one correct command line argument for NVIDIA HW acceleration is -hwaccel cuvid. forum1 at ntlworld. mkv -vframes 1 output. I'm encoding to MPEG2 and when I did my original tests using cuda/h264_cuvid I was getting endless streams of thousands of buffer underflow errors and the output would take forever, I'm talking Try ffmpeg -hwaccels to get all valid hw accelerators. I want to merge multiple h264 / mp4 files using a complex filter (simplified example): ffmpeg -hwaccel cuvid -c:v h264_cuvid [FFmpeg-user] Using FFMpeg with Nvidia CUDA to crop and scale videos SMF Forum 1 smf. @langdalepl - you mentioned earlier in the thread about working on bwdif_cuda - did that ever get finished? NVIDIA Developer Forums NVDEC in Several questions regarding hardware acceleration with ffmpeg (which I think is NOT same question as this one): How can I tell if my version of ffmpeg support hardware acceleration or not, and what are the acceleration features it support? From the output of an transcoding process, can I tell if ffmpeg is using hardware acceleration or not? ffmpeg -y -hwaccel cuvid -c:v h264_cuvid -deint 2 -i "udp://IP:PORT" -map 0:#0x0781 -map 0:#0x0782 -vcodec h264_nvenc -acodec libfdk_aac -f flv rtmp://IP/test/name . 1 to try to recover my setup The so called “improvement” of videoio was a cataclysmic change with poor documentation. mp4 it works correct. I need to convert the decoded frames to RGB using a SwsContext. exe -y -hwaccel_device 2 -hwaccel cuvid -c:v h264_cuvid -i input. jpg If we need to deocde mpeg2, hevc, vp8, etc then we should choose an appropriate decoder from the list: On 12/02/17 20:37, Miroslav Slugeň wrote: > This patch is for discussion only, not ready to commit yet and maybe newer will be. static enum AVPixelFormat pix_fmts[] Definition Generated on Mon Jun 27 2016 02:34:48 for FFmpeg The same also impacts the video encode pipeline as NPP's scaling functions run off the CUDA cores on the GPU, and as such, ffmpeg -hwaccel cuvid -c:v h264_cuvid -resize 640x480 -i input. Sometimes, in the middle of transcoding, cuvid outputs frames with visible horizontal lines (as though weave deinterlace method was chosen). Please see the log: Past duration 0. vc1 DEV. I On Debian I build ffmpeg deb packages with cuda support from the sources, Commented Aug 8, 2020 at 11:44. This will start a daemonset that'll look for GPU enabled nodes and will run the nvidia installer each time a node starts. Thanks! OK, very odd, but cuvid vs. mjpeg DEV. 470. 264. /ffmpeg-git -hwaccel cuvid -c:v h264_cuvid -f mpegts -i input_hdready_progressive_ntsc. device. Definition: avcodec. mp4 720p resolution and with the same audio codec. To utilize GPU acceleration with FFmpeg, you need a compatible NVIDIA GPU and the FFmpeg requires separate git repository nvcodec-headers for NV-accelerated ffmpeg build. mp4 -c:v h264 output-cpu. I use Tdarr to bulk test/modify my media but I found a small percentage of my files fail the long health checks when I specify hw over just CPU. Definition: motion. mp4 -vf scale_cuda=-2:720 -c:a copy -c:v h264_nvenc -preset fast -b:v 5M output. I. mp4 -c:a copy -c:v FFmpeg is the leading multimedia framework, able to decode, encode, transcode, mux, demux, stream, filter and play pretty much anything that humans and machines have created. 0 driver:410. Here are two consecutive frames which demonstrate this problem (pay attention to the bottom line): 1, 2; Occasionally, on scene changes, cuvid outputs I cant believe there isnt a Zoneminder FFMPEG PPA with cuvid & cuda (if I ever get this working, i will try and create one ) Top. This table (surprise, surprise) has only three values: "videotoolbox", "qsv", and "cuvid". Re: Recompile FFMPEG with cuvid & nvcc issue. Replace it it with -c:v h264_nvenc According to NVIDIA's developer website, you can use GPU to speed up the rendering of the ffmpeg filter. 4: 3050: April 8, 2024 It is also not necessary to use an encoder, because I do not need the output file. Fastest hardware accelerated encode method: ffmpeg @ AV_PIX_FMT_CUDA. 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