Ffmpeg hwaccel nvidia. I build my ffmpeg follo… FFmpeg 3.

Ffmpeg hwaccel nvidia srt, hwupload" -preset fast 1080_output. It was missing the avctx->pix_fmt = mpeg_get_pixelformat(avctx); before calling avctx->hwaccel = ff_find_hwaccel(avctx->codec->id, avctx->pix_fmt); which seems to change anything ! Very thanks. To utilize GPU acceleration with FFmpeg, you need a compatible NVIDIA GPU and the the ffmpeg cli option "-hwaccel cuda -hwaccel_output_format cude" is used in further code snippets. Note that while using the GPU video encoder and decoder, this command also uses the scaling filter (scale_npp) in FFmpeg for scaling the decoded video output into multiple desired FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Microsoft Visual Studio 2013 SP2 and above, and MinGW. g. (Nvidia Encoder) ffmpeg -y -i “C:\Users\eizde\content\tmpSuperSloMo\output\%d. Reply reply Hardware accelerated ffmpeg transcoding instructions with resize are not working 1:N HWACCEL Transcode with Scaling. ffmpeg: hwaccel_args: preset-nvidia. 8. I am now struggling to write a config which can use my graphics card to transcode H265 into H264 so that I can play it in my browser, or give better quality streaming to other items. I have a MOV file to convert to webm format. You'll want to tune the bitrate parameter until it looks acceptable to you. fmpeg -i input. nvidia promotes the support of their APIs in ffmpeg, so in my opinion they should Recent ffmpeg versions fail to use the deinterlacer of nvdec (cuvid). 129 Video_Codec_SDK_9. mp4" -c:v hevc_nvenc готовое_видео. 1 Originally published at: NVIDIA FFmpeg Transcoding Guide Below is the preferable syntax for on-GPU transcoding: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input. FFmpeg with NVIDIA GPU - Compiling for Windows | NVIDIA Docs. But how do I get this working for detectors, the documentation mentions tensorrt but i cant get my head around how this works. The following command reads file input. While transcoding a short movie, I see : - ffmpeg transcoding speed at 0. Note that while using the GPU video encoder and decoder, this command also uses the scaling filter (scale_npp) in FFmpeg for scaling the decoded video output into multiple desired I was having a similar issue, but I was just stitching frames together (no transition between frames), and adding the "-hwaccel cuvid -c:v mjpeg_cuvid" flags fixed it for me. 3/4. I installed latest nvidia drivers, CUDa nad compiled lates ffmpeg. However, I have found official tutorial from NVIDIA for compiling FFMPEG from source with NVENC enabled. mp4 -c:a copy -c:v hevc_nvenc -preset slow output. ts is a 1080i50 file: ffmpeg -hwaccel cuvid -c:v h264_cuv 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. /a. Fastest hardware accelerated encode method: ffmpeg Hello! I am trying to transcode an H265 UDP Transport Stream and output an H264 UDP Transport Stream. webm I get the following message: Could not find codec parameters for stream 0 (Video: mpeg4 (avc1 / 0x31637661), none(bt709), 1920x1080, 39994 kb/s): . mp4 -c:a copy -c:v h264_nvenc -preset p2 -tune ll 1:N HWACCEL Transcode with Scaling. /ffmpeg -hwaccel cuvid -c:v h264_cuvid -i /data/1920x800. 5 - GPU ENC = 5% - GPU DEC = 30% - TOP cpu shows 102% utilization but total cpu resources are 800% as I Hardware accelerated ffmpeg transcoding instructions with resize are not working Hello @rzzbu5l, FFmpeg sources have been updated since the article was published. These encoders doesn’t come with the WSL supported NVidia drivers. If I switch to CPU decoder (without hwaccel arg) using libx264 it just works fine. Now let’s add NVIDIA hardware decoder head to this command to assign decoding computation to GPU. The answer states that I have learn’t that latest FFMPEG 4 supports HW acceleration which is compatible for Maxwell arch GPUs like on Jetson Nano. We are using a vm equipped with a gpu, specifically Nvidia’s Tesla K80. mkv. The following FFmpeg hardware-acceleration script works fine. ts With 3. To do so, we are using ffmpeg configured with the h264_cuvid decoder and h264_nvenc encoder. mp4 -vf hwdownload,format=nv12 -pix_fmt yuv420p output. His questions is about how to integrate hwaccel in a program, the Official documentation only concerns hwo to use it through ffmpeg. Here is how to use your Nvidia GPU to hardware accelerate video encoding with ffmpeg. mp4 -c:v h264_nvenc -b:v 5M output. Note that while using the GPU video encoder and decoder, this command also uses the scaling filter (scale_npp) in FFmpeg for scaling the decoded video output into multiple desired Environment : GPU : GTX 750 Ti Driver : 460. mp4 I am trying to use Nvidia hardware acceleration for FFmpeg using cuvid. jpg -c:v h264_nvenc output2. forum1 at ntlworld. mp4 – I have a project that uses FFmpeg to decode video streams and I want to make use of hardware decoding where available. I have a project that uses FFmpeg to decode video streams and I want to make use of hardware decoding where available. Video Decode and Presentation API for Unix. I’ve noticed a drop in performance testing the recent FFmpeg 5. ffmpeg: #hwaccel_args: preset-nvidia-cuvid NO - this also gives black screens on cameras. Example) hwaccel innitialisation returned error" enter image description here. exe -i input_file. Hanssen wrote: > I have not succeeded yet to configure ffmpeg QSV access to an enabled > iGPU onboard an Intel Core i7-6700K (Skylake). png” -vf fps=30 -c:v h264_nvenc-pix_fmt yuv420p -qp 0 C:\Users\eizde 1:N HWACCEL Transcode with Scaling. The docs mention something to do with a textlabels file or something but I couldn’t get that to work either FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Microsoft Visual Studio 2013 SP2 and above, ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –crop 16x16x32x32 -i input. You signed in with another tab or window. 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. 32. mp4 Relevant video decoder will be selected automatically from the list of codecs supported by cuda hwaccel. 1 Video encoding is OK by using following command . adding --enable-nvdec returns unrecognized option during . Actually, information om main page of NVidia Codec SDK is wrong, Quadro P4000 have only one enabled NVENC, not two as noted :(This result is for one encoding stream without overclocking? ##### with default clocks: nvidia-smi -ac 3504,1075. We are trying to speed up our video transcoding time with hardware acceleration. videotoolbox — API от Apple для macOS и iOS). mp4 -c:v h264_nvenc -v:b 5M output. However, this might be tricky with the ffmpeg include and library paths and setting further environment. % ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input -c:v h264_nvenc -preset:v p1 -tune:v hq -rc:v vbr -c:a copy -y output. mp4 I get the following output: Hi everyone, I’m currently trying to achieve a mosaic including 4 videos using FFmpeg and hardware acceleration. This is a moving project (no API maintenance, no deprecation process, etc. mp4 -c:a copy -c:v h264_nvenc vdpau — Video Decode and Presentation API for Unix (Linux, поддержка старых видеокарт NVIDIA). mp4 -c:a copy-c:v h264_nvenc -b:v 5M output. 264 decoder and encoder. nvidia-smi may not show ffmpeg processes when run inside the container due to docker limitations. onomatopellan September 24, 2020, 7:00am 4. So far I have used the following When it comes to hardware acceleration in FFmpeg, you can expect the following implementations by type: 1. mp4" Is there an equivalent that is HW supported by NVIDIA for AV1? On Sun, 2024-09-01 at 10:53 +0200, Terje J. Hi guys, I am using ffmpeg to transcode some live channels, but I’m having a recurring problem. Any [FFmpeg-user] Using FFMpeg with Nvidia CUDA to crop and scale videos SMF Forum 1 smf. org/wiki/HWAccelIntro. Verify that hardware decoding is working by running nvidia-smi, which should show ffmpeg processes::::note. my ffmpeg command is . I’ve also used jocover’s nvmpi version such as here for ffmpeg with HWENC. However, I cannot seem to find the nvidia drivers (ie nvidia-378) used for regular amd systems which is required to build ffmpeg with I did find this command on the NVIDIA docs: ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. If you have an NVIDIA GPU which supports hardware-accelerated video encoding and decoding, it’s simply a matter of compiling FFmpeg binary with the required support for NVIDIA libraries and using the resulting binaries to speed up video encoding/decoding. 0 driver:410. ::: FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Microsoft Visual Studio 2013 SP2 and above, and MinGW. ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. mp4 using the AV1 codec at 8 Mbps and put it into output. However, when I try to encode a H264 ffmpeg: hwaccel_args: preset-nvidia-h264. /ffmpeg -nostdin -hwaccel cuvid -c:v h264_cuvid -i /root/1080. 0: 71: December 19, 2024 FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Media Autobuild Suite ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. /configure. mp4. Hardware Setup FFmpeg with NVIDIA GPU acceleration requires a system Some presets of FFmpeg args are provided by default to make the configuration easier. One example on Linux (more details please see FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Media Autobuild Suite ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. /\%08d. Last known version to work OK is 3. 1 release with a simple full hardware transcode using h264_nvenc in comparison with FFmpeg 4. However, we are not seeing as great of an improvement as we were expecting. Well, obviously. See this answer on how to tune them, and any limitations you may run into depending on the generation of FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Media Autobuild Suite ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. The complete command that's working for me is: ffmpeg -vsync 0 -hwaccel cuvid -c:v mjpeg_cuvid -framerate 29. raw but the output data format is weird, I don't know what the format is and how to decode it And once you have ffmpeg. 5M -minrate 4M -bufsize 5M -vf "scale_npp=1920:1080, hwdownload, format=nv12, subtitles=output_ar. 18. 168. 4 OS : Debian 10 (Headless) Hello, I am trying to implement NVENC hardware acceleration through ffmpeg. But I haven’t found any guide for NVDEC/CUVID. If you have access to the Nvidia NvEnc hardware (ffmpeg -encoders shows h264_nvenc) then you can use ffmpeg -h encoder=h264_nvenc to see the specific options it provides. avi But i need to crop video file to 16:9 aspect ratio. so, WSL2 architecture doesn’t need NVidia drivers to be on host(WSL Linux Distro), but to be downloaded on Windows only. You signed out in another tab or window. mp4 See this thread on libav-user. ffmpeg -hwaccel nvdec -hwaccel_output_format cuda -i <file> <etc> val. That takes ages and I don’t think it works with the NVIDIA FFMPEG compiled version that well. I tried Googling around and did update to the latest ffmpeg version as well Nvidia driver version but it still doesn't help. mp4 output. Actually the Issue is with libnvidia-encode. I’ve succeeded to create it without hardware acceleration but I’m stuck. So the patch is just to add < PRESET_P1 and maybe the same about ctx Great resource, thanks all for contribution. The NVENC plugin in FFMPEG supports the following codecs: h264_nvenc - H264 I've been searching around for ways to use my nvidia 980 video card to convert videos to h265 but I am not sure which one to use exactly. png -vcodec hevc_nvenc -crf 1 -pix_fmt yuv440p -hwaccel cuvid Y:\TEST. This is a legacy, > rebuilt workstation with additional, discrete Nvidia GeForce GTX 960 > GPU > on a MSI-Z170-A Pro mobo. ffmpeg -hwaccel cuda -i "название_видео. 20 nv-codec-headers-n9. The video is decoded on the GPU using NVDEC and output to GPU VRAM. After building VMAF and FFmpeg from the source, only the latest NVIDIA GPU driver is required for execution and you don’t require any prior knowledge of CUDA. You switched accounts on another tab or window. This is crucial for high throughput to prevent it from being limited by memory transfers from the CPU. I want to know how the new method for allocating a hardware 1:N HWACCEL Transcode with Scaling. h264 -c:v h264_nvenc -f null - -hwaccel cuda -hwaccel_output_format cuda: Enables CUDA for hardware-accelerated video frames. 264 videos at various output resolutions and bit rates. ffmpeg -hwaccel cuvid -c:v h264_cuvid -i . yuv Newer versions drop frames. AVDictionary* options = nullptr; av_dict_set(&options, “hwaccel”, “cuvid”, 0); av_dict_set_int(&options, “hwaccel_device”, 2, 0); Even though I specify hwaccel device to be 2, it still runs on GPU 0. Reload to refresh your session. 1. Thus, I am looking into having ffmpeg use some hardware acceleration on the PX2. ffmpeg: add Install the NVIDIA graphics driver runfile first. Depending upon ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. Using FFmpeg with NVIDIA GPU Hardware Acceleration vDA-08430-001_v02 | 1 Chapter 2. I want to merge multiple h264 / mp4 files using a complex filter (simplified example): ffmpeg -hwaccel cuvid -c:v h264_cuvid FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Media Autobuild Suite ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. mp4 and transcodes it to two different H. ts. 71 I compile ffmpeg follow this post However, there isn't any example to use it with audio. Developed by NVIDIA for FFmpeg provides a subsystem for hardware acceleration, which includes NVIDIA: https://trac. 4. AutoGen. I'm not aware of what community-produced options are available / trustworthy, but if you want to compile ffmpeg with NVENC enabled, you can follow NVIDIA's guide here: FFmpeg with NVIDIA GPU - Compiling for There is a NVIDIA jetson version of ffmeg that can be installed through apt. The answer states that ff_find_hwaccel is deprecated. dev include NVENC support: ffmpeg -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. MOV -vf scale_npp = 1920: 1080 -vcodec hevc_nvenc -an . Hardware-accelerated encoders: In the case of NVIDIA, NVENC is supported and implemented via the h264_nvenc and the hevc_nvenc wrappers. FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Microsoft Visual Studio 2013 SP2 and above, ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –crop 16x16x32x32 -i input. I’m working on Ubuntu 16. I use this code to encode VR videos ffmpeg -y -hwaccel auto -i "8kleopard2. zapod. FFmpeg is an industry-standard, open-source tool that handles multi-media files and video streams. Is there a solution? Working: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i These features are not part of the Nuxeo Production platform. Edit: Seems that all the builds on gyan. mp4 -c:a copy -c:v h264_nvenc 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 Use the following command to obtain a list of all NVIDIA GPUs in the system and their corresponding ID numbers: ffmpeg -vsync 0 -i input. This will encode input_file. These solutions are provided for inspiration and we encourage customers to use them as code samples and learning resources. mp4 -c:v nvenc -vf "scale_npp=format=yuv444p" -r 1 . I build my ffmpeg follo FFmpeg 3. mp4 -vf "crop=1920:804:0:138,scale=1280:536" -f null - ``` 使用 Direct3D 11 硬體加速解碼器與軟體篩選器： ```powershell ffmpeg -hwaccel d3d11va -i input. /ffmpeg -y -vsync 0 -hwaccel cuvid -c:v h264_cuvid -i rtsp://admin:startdt123@192. NVENC and NVDEC s This document explains ways to accelerate video encoding, decoding and end-to-end transcoding on NVIDIA GPUs through FFmpeg which uses APIs exposed in the NVIDIA Video Codec SDK. wav I find there is no any nvidia encoder and decoder specific for audio from this post ffmpeg -hwaccel qsv -c:v h264_qsv -i input. ts is a 1080i50 file: ffmpeg -hwaccel cuvid -c:v h264_cuvid -deint adaptive -resize 1280x720 -f mpegts -i input. ) If any of these solutions are found to Hello. I use the following command: ffmpeg -y -hwaccel cuvid -c: v mpeg4_cuvid -vsync 0 -i . ffmpeg encode H. I try as follow, but it not work. 0. ffmpeg. 264 with Nvidia hardware encoder. Check hwaccel docs to ensure correct driver is chosen: preset-intel-qsv-h264 preset-intel-qsv-h265: Intel QSV with h265 stream: If issues occur recommend using vaapi preset instead: preset-nvidia: Nvidia GPU: preset-jetson-h264: Nvidia Jetson with h264 Hello, This is my first post on this forun. In order to enable support for GPU-assisted NVIDIA GPUs ship with an on-chip hardware encoder and decoder unit often referred to as NVENC and NVDEC. Basically after listing the hw accelerated codecs you can try to lookup the appropriate decoder with avcodec_find_decoder_by_name (since the AVHWAccel struct has the name field) and then use that for decoding. ts -vcodec h264_nvenc -preset slow -r 50 -f mpegts out. This document explains ways to accelerate video encoding, decoding and end-to-end transcoding on NVIDIA GPUs through FFmpeg which uses APIs exposed in the NVIDIA Video Codec SDK. Here is the command line I use : ffmpeg -hwaccel I'm trying to use the basic example about decoding video (FFmpeg. mp4 -c:v h264_nvenc -map 0:v:0 -map 0:a:0 -g 50 -b:v 5M -maxrate 5. Note that while using the GPU video encoder and decoder, this command also uses the scaling filter (scale_npp) in FFmpeg for scaling the decoded video output into multiple desired FFmpeg does not have any official pre-compiled binaries. ts -vcodec h264_nvenc -preset slow -c:a copy -r 50 -f mpegts output. First off, it is much faster — about 5x faster in my case, although that varies with quality settings. detectors: cpu1: type: cpu num_threads: 3 model: path: "/custom_model. mp4 -c:v av1_nvenc -b:v 8M -c:a copy output. . 04 Nvidia ffmpeg -vsync 0 -hwaccel cuvid -hwaccel_device 1 -c:v h264_cuvid -i input. 30+; Restart, confirm that nvidia-smi returns something useful like Note the graphics driver and Cuda versions Hi, Recently I’ve created some test runs for transcoding given MP4 files using FFmpeg with GPU acceleration. FFMPEG with Nvidia Video Codec don't work on A10? CUDA Setup and Installation. exe -encoders and look for ones that mention NVIDIA in the list. There is a NVIDIA jetson version of ffmeg that can be installed through apt. System specs: Ubuntu 16. mp4 Relevant video FFmpeg supports GPU acceleration through a feature called CUDA, which is NVIDIA's parallel computing platform and API. exe, you can encode videos with just this command: ffmpeg. But I am unsure on what parts I need to use after my feed input. 03 CUDA : 11. yuv H264 video decode and display with sdl an Intel integrated GPU and an AMD/Nvidia discrete graphics card). This document explains ways to accelerate video encoding, decoding and end-to-end transcoding on NVIDIA GPUs through FFmpeg which uses APIs exposed in the NVIDIA To get a list of the hwaccels available in the ffmpeg executable, use the command ffmpeg -hwaccels. mp4 Заключение Here is how to use your Nvidia GPU to hardware accelerate video encoding with ffmpeg. Achieved FPS during VMAF score calculation in FFMPEG for Dual Intel i know that nvidia has an official ffmpeg package that support hwaccel, so i download and install it, i use this command to test if use hwaccel: Environment: In nvidia docker: ffmpeg version 4. Note that while using the GPU video encoder and decoder, this command also uses the scaling filter (scale_npp) in FFmpeg for scaling the decoded video output into multiple desired 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. vz May 15, 2021, 5:57pm 8. Separate from the CUDA cores, NVENC/NVDEC run encoding or decoding workloads without slowing the execution of graphics or CUDA workloads running at the same time. I have to use nvidia gpu card (tesla P4) to optimize performance. But when I try to apply a fade in and out to the overlayed image it breaks. The NVIDIA graphics driver version number doesn't have to match what's included with the CUDA toolkit, but it must be v5. Setup 2. 04, I’ve installed NVIDIA drivers using apt repo aswell as CUDA. 4: Decoder h264_cuvid [Nvidia CUVID H264 decoder]: General capabilities: delay Threading capabilities: none Supported pixel formats: cuda nv12 p010le p016le ffmpeg -hwaccel cuvid -c:v h264_cuvid -deint 2 -resize 1280x720 -f mpegts -i interlaced_1080i50. mp4 What I’d like to do is somehow combine these commands so I get the output of command 1 with the speed of command 2. 97 -i dji_0099_%04d. Contribute to romansavrulin/ffmpeg-cuda-docker development by creating an account on GitHub. 3. Newer versions drop frames. x. I started with the following line from Using FFmpeg with NVIDIA GPU Hardware Acceleration :: NVIDIA Video Codec SDK Documentation. mp4 -c:v h264_nvenc -gpu list -f null – Once you know the index, the -hwaccel_device I have some code that uses ffmpeg to decode some h264 frames and I want to run it on the Drive PX2; but the performance of the decoder is bad. mov" -c:v hevc_nvenc -preset slow -crf 18 -qp 19 -vf "scale=7680x7680:out_range=full" -pix_fmt yuvj420p -aspect 1:1 -movflags faststart "C:\temp\8kleopard2test. 2 FFMPEG : 4. at minute i have in the config. we can build hwaccel ffmpeg on WSL 2. Using FFmpeg with NVIDIA GPU Hardware -hwaccel means to keep the decoded frames in GPU memory-c:v h264_cuvid and -c:v h264_nvenc mean to select NVIDIA hardware accelerated H. My GPU is an Nvidia 2060 with 12GB of RAM and my CPU is an AMD Ryzen 5 5600X. Yes, support for GPU. mp4 ffmpeg version built on 2021-03-24 I've run the same test successfully on a newer NVIDIA GPU that supports lossless. [Nvidia CUVID H264 1:N HWACCEL Transcode with Scaling. mp4 3. I hope I’m posting at the right place ! What I try to do is to perform some hevc hardware based transcoding using 1 nvidia V100 PCIE GPU. If everything is working correctly, you should see a significant improvement in performance. : -hwaccel auto -i input. mp4 – I use ffmpeg to do frame decimation, millions of video. Previous message (by thread): [FFmpeg-user] Using FFMpeg with Nvidia CUDA to crop and scale videos Next message (by thread): [FFmpeg-user] Regarding . All the time I get a CUDA out of memory error, even though the video card has nothing to process. mp4 -c:a copy -c:v h264_nvenc -b:v 5M output. exe. . NvEnc. FFmpeg with NVIDIA GPU acceleration is supported on all Windows platforms, with compilation through Microsoft Visual Studio 2013 SP2 and above, and MinGW. mp4 ffmpeg full nvidia hardware transcode with deinterlace. 4. When use ffmpeg,log : root@295d3ff3f717:/mnt/app# ffmpeg -hwaccel cuvid -c:v h264_cuvid -i 3115e810-c601-4193-9e58-003f4d24347a. There is no such hwaccel as 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). For my ffmpeg I get the following Nvidia encoders in that list When compiling ffmpeg from source and testing hardware accelerated transcoding with scaling using the instructions for Linux located at Accelerated FFMPEG Instructions, the command listed in the instructions: ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –resize 1280x720 -i input. We can use nvdec to replace cuvid Below is the preferable syntax for on-GPU transcoding: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input. 4 cuda:10. I know that if ffmpeg is compiled with libnpp support you can do a full hardware transcoding with scaling, like this: ffmpeg -hwaccel_device 0 -hwaccel cuvid -c:v h264_cuvid -i input -vf scale_npp I was having a similar issue, but I was just stitching frames together (no transition between frames), and adding the "-hwaccel cuvid -c:v mjpeg_cuvid" flags fixed it for me. Not sure if recent versions provide more than decoding for H264. wav -hwaccel cuda -hwaccel_output_format cuda -f wav -ar 16000 -ab 12800 -ac 1 output. You can list the encoders available using ffmpeg. ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda –crop 16x16x32x32 -i input. /configure and nonfree Messages sorted by: FFMPEG version and Nvidia driver version are the same as before it just crashed overnight without a clue. Are there any comparable issues? Any hints to diagnose this? Are benchmark results use nvenc/nvdec with docker 19. FFmpeg uses Video Codec SDK. It will probably be more current than what's included with the Cuda toolkit. com Wed Sep 11 13:49:40 EEST 2024. tflite" cpu2: Using the example test command: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input. 8 ffmpeg -r 60 -f image2 -s 3840x2160 -i TEST_%04d. mp4 -vf "crop=1920:804:0:138,scale=1280:536" -f null Hi ffmpeg from git is running OK with cuda 9. Don't forget about HWAccel too, e. 2. mp4 fails with ffmpeg -hwaccel cuvid -c:v h264_cuvid -i 3030025890-TEST. I’m using FFmpeg in version 3. 使用 Direct3D 9 (DXVA2) 硬體加速解碼器與軟體篩選器： ```powershell ffmpeg -hwaccel dxva2 -i input. But then you need to know the codec upfront. > > Any suggestions how to solve this? You can use vainfo to find "ffmpeg -y -hwaccel cuda -hwaccel_output_format cuda -r 8 -safe 0 -f concat -i {1} -c:v hevc_nvenc and rendering the video. Below is the preferable syntax for on-GPU transcoding: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input. Example command, input. I’ve tried placing the drawtext portion standalone portion within command 2 without success. According to this answer, the use of ff_find_hwaccel and friends is deprecated in newer FFmpeg builds. cuda, ubuntu, nvenc. ihydwo nwnenhb bzh vymyge vfvnn tai muaeevj cjsc xiqgpvfy okhp