Ffmpeg use cuda 由于使用了硬件编码器，所以 nvenc_hevc 的参数比 libx265 少很多，本人简单测试得到了一个可以用的完整参数： Jan 7, 2022 · I have an old i7-2700K, an old ASUS GTX 760 and last ffmpeg version ffmpeg-n4. \build_windows_custom. Is there a way to use the nvenc encoder without using cuda? So, as part of my problem solving process I am trying to use nvenc but without cuda - is that Aug 18, 2023 · It's thus very likely that you were compiling ffmpeg with the version of libvmaf that's included on the arch repos, which is compiled without -Denable_cuda=true. Activating support for hardware acceleration when building from source requires some extra ffmpeg tells you to use cuda instead of cuvid Everything is based on my experience in transcoding, searching multiple forums, guides, and compiling the source code. The following options are recognized: primary_ctx. 5M -maxrate 8M -vf "scale_cuda=-2:720:format=yuv420p" -c:a copy -c:s copy "output-720p. mp4. mp4" But the quality is not as good as expected. Nov 8, 2024 · 然后，我们通过一个简单的示例教程，一步步带领你利用带有 CUDA 支持的 FFmpeg 将一个视频从 720p 分辨率放大并编码到 4K 分辨率。 示例教程会适合希望在GPU 服务器上高效处理视频的视频工程师和开发者，步骤会比较详细，刚接触视频编解码的开发者也可以尝试。 Nov 8, 2024 · 然后，我们通过一个简单的示例教程，一步步带领你利用带有 CUDA 支持的 FFmpeg 将一个视频从 720p 分辨率放大并编码到 4K 分辨率。 示例教程会适合希望在GPU 服务器上高效处理视频的视频工程师和开发者，步骤会比较详细，刚接触视频编解码的开发者也可以尝试。 Oct 22, 2019 · m-ab-s/media-autobuild_suiteで調べたところ、–enable-ffnvcodec –enable-cuda –enable-cuvid –enable-nvenc –enable-nvdecを基本に、–enable-libnpp –enable-nonfreeでnppのつくフィルタが使え、–enable-cuda-llvmの追加でcudaがつくフィルタが使える。 Jan 8, 2015 · ffmpeg -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 2 -i input -c:v h264_nvenc output. FFmpeg 2. Replace format=nv12 with format=yuv420p Downloading and Configuring FFmpeg: Downloads the latest FFmpeg source code, configures it with necessary flags for CUDA support, and compiles it. First, however, enter nvidia-smi to see whether the container can see your NVIDIA devices. If set to 1, uses the primary device context instead of creating a new one. 264 decoder may only support baseline profile). mkv. 2024) using FFmpeg v6. So I try to use nvidia cuda to accelerate it. Second issue is that format=nv12 is incompatible with the overlay filter. Video encoding with ffmpeg on an Nvidia GPU using can be extremely fast compared to software based encoding on the CPU. cuda container as a reference for all required libraries and steps. Mar 12, 2024 · The results of this collaboration are an extended libvmaf API with GPU support, libvmaf CUDA feature extractors, as well as an accompanying upstream FFmpeg filter, libvmaf_cuda. When using FFmpeg the tool, HW-assisted decoding is enabled using through the -hwaccel option, which enables a specific decoder. 2) with pre-built binaries. Note that unlike NVENC or NVDEC, which otherwise have little-to-no GPU performance impact, OpenCL or CUDA accelerated filters will consume GPU resources and could impact your captured application's performance. 8. 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. 1. Execute ffmpeg -h encoder=h264_nvenc for getting a list of options. Using GPU hardware to speed up FFmpeg video transcoding and pit draining HWAccelIntro-ffmpeg官网 Mar 9, 2021 · used video stream, including information about used codec (see below, use FFmpeg or GStreamer native tools) installed packages: apt list --installed | grep -e va-driver -e mfx -e ffmpeg -e libva -e opencl -e intel-media -e gstreamer -e i965 (use yum list installed on Fedora/CentOS/RedHat) dump of vainfo command 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. The example command is This project is intended to have some useful pre-defined command line commands to use with ffmpeg and CUDA Topics. scale_cuda filter doesn't accept d3d11 as input. 1 (after initial installation): OpenCV (Python) aged (4. 1 tesseract:x64-windows-static is already installed Total install time: 64. The ffmpegcv use the cuda to accelerate pix_fmt convertion. mp4 这条使用gpu，具体参数使用有变化，命令在执行时GPU使用率98%， 用时13秒。 Mar 8, 2024 · The issue does not occur when OPENCV_FFMPEG_CAPTURE_OPTIONS is not set to use CUDA hardware decoders (hw_decoders_any;cuda), but this setup does not utilize GPU Jan 17, 2023 · I use ffmpeg to process some audios as follow, fmpeg -i input. Another setting is qp. h and . Determined by ffmpeg. After installation, we could decode a real-time H. c"的功能模块，它专门负责实现利用显卡硬件加速器进行视频解码的功能。在FFmpeg中，"hw_decode. 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. Why could that be? For the sake of completeness, here is the relevant code Aug 16, 2019 · I am trying to encode a h264 . VMAF image feature extractors are ported to CUDA, enabling it to consume images that are decoded using the NVIDIA Video Codec SDK. We would like to use the CUDA toolkit to enable NVidia hardware acceleration in FFMpeg, to take advantage of our graphics card. Here's how to enable GPU acceleration in FFmpeg: Check for GPU Support: Create high-performance end-to-end hardware-accelerated video processing, 1:N encoding and 1:N transcoding pipeline using built-in filters in FFmpeg; Ability to add your own custom high-performance CUDA filters using the shared CUDA context implementation in FFmpeg; Windows/Linux support * Support is dependent on HW. But, for better comparison, we first run FFmpeg with Apr 7, 2024 · Hardware acceleration methods: vdpau cuda 说明ffmpeg现在已经支持CUDA加速了。 （. Feb 7, 2025 · 要使用FFmpeg的GPU功能进行视频处理，你需要确保已经安装了NVIDIA的GPU驱动、CUDA和cuDNN，并且你的FFmpeg版本已经支持GPU加速。 例如，你可能需要安装NVIDIA的nv-codec-headers，这是 FFmpeg 与NVIDIA GPU 交互所需的头文件。 Mar 1, 2019 · ffmpeg -hwaccel cuda -i input output Sample decode using CUVID: ffmpeg -c:v h264_cuvid -i input output Full hardware transcode with NVDEC and NVENC: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input -c:v h264_nvenc -preset slow output If ffmpeg was compiled with support for libnpp, it can be used to insert a GPU based scaler into the chain: Apr 22, 2021 · For the right codecs and for reference, the Stack Overflow post make ffmpeg chose Nvidia CUDA over Intel QSV mentioned that hardware acceleration was working with the following command: ffmpeg -hide_banner -hwaccel cuda -i "input. 1 Chapter 2. Examples: -init_hw_device cuda:1. 265 format) On developer I am trying to decode a video using the NVIDIA cuvid hardware acceleration with ffmpeg. However, when I try to do the following call: May 5, 2022 · ffmpeg -hwaccel cuda -i input output Sample decode using CUVID: ffmpeg -c:v h264_cuvid -i input output FFplay only supports older option -vcodec (not -c:v) and only CUVID. However, when I try to use the CUDA hardware accele… Aug 18, 2020 · FFMPEG a few months ago launched the new version of FFMPEG with the new filter "overlay_cuda", this filter makes the same as the "overlay" but using an Nvidia card for applying Nov 9, 2019 · Yes, it’s possible to install 440. mov, codec hvc1, pix fmt yuvj420p. So if you want to use libplacebo with CUDA, you need to compile libplacebo with version v6. Mar 19, 2018 · #7582 (hwaccel cuvid/nvenc performance degredation when using aq (temporal-aq or spatial-aq) with multiple concurrent encodes) – FFmpeg. mp4 -vf "scale_cuda=1280:720" -f null - ``` ### 硬體加速解碼與軟體 Aug 2, 2022 · The output of ffmpeg -codecs shows: DEV. 4. 265 format) On developer Sep 14, 2020 · dxva 和 d3d11va 是解码器，cuda 是 NVIDIA CUDA，qsv 是 Intel Quick Sync Video。本文重点使用 CUDA。 要想使用 CUDA，需要使用如下参数：-c:v nvenc_hevc. Ffmpeg have to use mps to share the same context as usually multiple encoding/decoding sessions use multiple ffmpeg processes. VMAF-CUDA must be built from the source. Some of those encoders are built to use GPUs, some are not. Here is the line i'm using. I compile ffmpeg follow this post However, there isn't any example to use it with audio. sh 根据NVIDIA开发者网站的说明，您可以使用GPU加速ffmpeg滤镜的渲染。使用FFmpeg中的内置过滤器创建高性能的端到端硬件加速视频处理、1:N编码和1:N转码流水线。 May 4, 2023 · Kind poster, that article refers to using CPU NLMEANS filter, not GPU. Before using FFmpeg, it is recommended to refer to the FFmpeg documentation, note the Apr 15, 2019 · Create high-performance end-to-end hardware-accelerated video processing, 1:N encoding and 1:N transcoding pipeline using built-in > filters in FFmpeg. Once inside the container, as the default user anaconda, you can use the compiler to transcode using hardware acceleration. 9\ShimatOpenCVSharp\opencv_files> . Unable to make Cuda FFmpeg work : ffmpeg; FFmpeg: For NVENC, what is a concurrent surface? – Super User #7562 (using -hwaccel nvdec produces ‘No decoder surfaces left’ with interlaced input and 3 or more b-frames) – FFmpeg 使用 QSV 硬體加速解碼器與篩選器： ```powershell ffmpeg -hwaccel qsv -c:v h264_qsv -i input. 292. 这个是设置使用 cuda 来解码视频。 Aug 1, 2017 · With FFmpeg, you can always refer to an encoder's settings for customization by: ffmpeg -h encoder {encoder-name} So, for NVENC-based encoders, you can run: ffmpeg -h encoder=hevc_nvenc ffmpeg -h encoder=h264_nvenc You can also see all the NVENC-based encoders and NPP-based scalers (if built as such) by running: Feb 1, 2020 · Okay so I’m just some video editing dude with very litle programming experience and I want an FFMPEG build with ALL the nv stuff enabled. wav -f wav -ar 16000 -ab 12800 -ac 1 output. By leveraging NVDEC for decoding, CUDA filters for transformations, and NVENC for encoding, end-to-end video pipelines can remain entirely on the GPU with minimal host-device interaction. e. py build --ffmpeg-dir="PATH_TO_FFMPEG_WIN_DEV_DISTRIBUTION", Oct 17, 2019 · from moviepy. mp4" Was failing because it couldn't find the Nvidia adapter. The log below indicates that it is (trying to) use cuda. 1 toolkit) with the now-inbuilt GPU based YADIF_CUDA deinterlacer mentioned If you are having trouble with the pre-built binaries, buid the binaries from scratch (It may take more than half an hour) [ ] Nov 18, 2022 · こんにちは、SaaS 事業部の髙橋と申します。 最近、動画のエンコード処理を高速化するためにハードウェアエンコードについて調査する機会がありましたので、FFmpeg と NVIDIA Video Codec SDK の組み合わせでビルドしてハードウェアエンコードを試してみることにしました。 Jul 27, 2021 · Current situation with Jetpack 4. Thank you. Feb 7, 2021 · Now ffmpeg -hwaccel cuda works the first time. I compiled ffmpeg with the following flags:. FFmpeg libraries compiled with NVDEC/NVENC support. exe setup. . Using NVIDIA hardware acceleration in FFmpeg/libav requires the following steps Dec 5, 2020 · On the latest Intel CPU this should be as quick as the Nvidia HW decoder, plus it may be much quicker at writing than using Ffmpeg etc. 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 resoluti Nov 4, 2024 · こんにちは。FFmpegを用いた動画のエンコードで、NVIDIAのGPUアクセラレーションを利用できます。WSLでも可能なので、インストール手順を記載しておきます。前提パッケージ管理システムによってインストールされるFFmpegでGPUエン May 25, 2024 · PS E:\CMakes\4. 87. h264_nvenc encoder accepts d3d11 as input pixel format. I believe that you CAN force the Apple Silicon build of ffmpeg to use the inbuilt hardware encoders/decoders and the results are fantastic, so I was just curious about other platforms. . /configure的时候抛出了警告WARNING: Option --enable-cuda-sdk is deprecated. When we use the thumbnail_cuda filter we can set NV12 as the output format to prevent additional pixel format convertation. You can also use FFmpeg 5 or 6. less space & the same quality. mp4 using the AV1 codec at 8 Mbps and put it into output. In terms of performance, don't expect much parity between them in terms of performance; both will run on the GPU either way. If you have to use the GPU I would recommend pre-allocating your GpuMat arrays and passing them to your functions as the dst argument if this is possible, i. Optionally can use < or > or a range: source_size: Size, in megabytes, of the media file. nv-codec-headers Installation: Clones the nv-codec-headers repository and installs it, providing headers for Nvidia GPU accelerated video encoding/decoding. 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. † PyTorch / TorchAudio with CUDA support. I tried to use different commands, but the result was always the same, on Windows and Ubuntu. 265. 0 and FFmpeg v6. ffplay -vcodec hevc_cuvid file. mkv (adapted from NVIDIA docs ). Conclusion. It is the latest stable FFmpeg release from the 2. A value of 0 or 1 produces very good video. Before compiling FFmpeg, take a look at the output of the configure script, you should see libvmaf_cuda listed under Enabled filters:, if that's not the case you either forgot to Jan 31, 2021 · My problem is: when i run more than one ffmpeg command with cuda all process assigned to first GPU. The following command reads file input. I try as follow, but it not work. I followed the instructions (as far as I can tell), installed the NVIDIA SDK local . It doesn’t seem possible to reinstall CUDA after installing 440. zip from BtbN I want to transcoding a h. 264 RTSP video stream to check if we have already succeeded. Choose the second device on the system. mp4 Full hardware transcode with NVDEC and NVENC: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input -c:v h264_nvenc -preset slow output Mar 7, 2020 · I am trying to find a way to use the drawbox and drawtext ffmpeg filters to overlay text onto video,and speed this process up using GPU acceleration. hwupload_cuda; scale_cuda; scale_npp; thumnail_cuda; Build. How can i do this? On Ubuntu 14. mp4 -c:a copy -c:v h264_nvenc -b:v 5M When using FFmpeg the tool, HW-assisted decoding is enabled using through the -hwaccel option, which enables a specific decoder. 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 audio and video processing pipelines and have achieved wide adoption across the world. However, it puts the code at the end of the 1st half of the script (decode) just before the (encode) section. 3 us tesseract provides CMake targets: # this is heuristically generated, and may not be correct find_package(Tesseract CONFIG Jun 23, 2022 · For hardware accelerated encoding use h264_nvenc instead of libx264. biz Sep 1, 2023 · FFmpeg supports GPU acceleration through a feature called CUDA, which is NVIDIA's parallel computing platform and API. dep, installed the cuda package and the nvidia-352 package, then compiled ffmpeg. But if I use nvidia-cuda-mps, then there is no performance hit. write_videofile(combined_video_path, threads=thread_count, codec="h264_nvenc") So, I'm using this code inside google colab but this code does not work for me. In the following, we build FFmpeg 4 libraries with NVDEC/NVENC support. mp4 -c:v libaom-av1 -b:v 2M output. 5. mkv "hwdownload,format=p010le,format=yuv420p,hwupload_cuda" downloads frames from hardware to system memory in the original format (in this Jan 18, 2024 · It's not working because the output pixel format of ddagrab is d3d11 (and not cuda). LS h264 H. And I tried to transcode it into mp4(h264) by ffmpeg with hwaccel My command is ffmpeg -y -hwaccel cuvid -c:v hevc_cuvid -i hev… Oct 14, 2016 · One can in fact use the newer cards such as the 9xx and 10xx series to encode videos and to run CUDA applications in parallel independently. Choose the first device and use the primary device context Here is the example command: time ffmpeg -hide_banner -hwaccel cuda -hwaccel_output_format cuda -i source. List options of a filter using ffmpeg -h filter=XXXX. Jul 11, 2021 · 前言 本文章是针对 Windows 10 + Nvidia + FFMPEG 的，Linux、老版本 Windows 以及其他系统仅供参考 第一步 根据你的显卡型号，安装适合的 cuda 查看显卡支持的 cuda 版本 这里 可以下载旧版本的 cuda 安图所示，下载并安装，安装过程就一直下一步都行 Sep 14, 2024 · 总结. use Jan 18, 2024 · It's not working because the output pixel format of ddagrab is d3d11 (and not cuda). 3) with FFMPEG support using: python3 -m ffmpeg nvidia hardware acceleration tutorial | Nvidia Nvenc FfmpegUnlock the full potential of your video editing workflow with the powerful combination of F cuda. Jan 14, 2025 · 本文使用这样下载的版本进行演示，你自己编译或者其他源的版本可能会不同。ffmpeg 的一些介绍，以及 macOS 版本的 ffmpeg 硬件加速请见。如果你了解转码的流程，那么直接跳过前两节，通过侧边栏跳转到“使用FFMPEG硬件加速转码”部分直接看命令。_ffmpeg cuda Apr 15, 2025 · The opencv/ffmpeg uses the cpu to convert video pix_fmt from original YUV to RGB24, which is slow. CPU decode VS GPU decode. Replace it it with -c:v h264_nvenc. I am using a NVIDIA GeForce GT 745M Graphics card (GPU:GK107), which is compatible with cuvid as specified by NVIDIA here. Use --enable-cuda-nvcc instead. Optionally can use < or > or a range: vcodec: Video codec used on the source media. Verifying NVDEC/CUDA support in FFmpeg. Here is a sample of BAD quality CPU encoding using libx264 and a crf = 63. exe, you can encode videos with just this command: ffmpeg. However, when I try to use the CUDA hardware accele… Feb 17, 2022 · Environment GPU : Quadro T400 Driver : 510. 31 (without going back to 418. Oct 13, 2020 · 1:N HWACCEL Transcode with Scaling. 265 encoding/decoding also via Quick Sync Video) for decoding and GPU for encoding (since my GPU card does not support h. 1 Video encoding is OK by using following command . Aug 15, 2022. Otherwise, use one of the other rate control methods described above. My 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. Jun 13, 2017 · The question is whether it's possible to use CUDA cores to decode and encode video faster than the hardware engines (NVDEC and NVENC). 1, and add disable_multiplane=1 in the ffmpeg command. 265 mkv file (1920x1080) to h. TS-Files) into h264 . Sep 8, 2019 · 2. 4-latest-win64-gpl-4. mp4 video created from . Dec 1, 2014 · ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i HexaLift1. Dec 14, 2021 · We are developing a commercial product that is using FFMpeg to composite data onto a video stream and encode in h. use Nov 5, 2018 · On Windows, when you build av, a path to ffmpeg's . ffmpeg is the same in that sense. wav And I need to do it as fast as possible. mp4 -s 224x224 -f image2pipe - -vcodec rawvideo Feb 17, 2022 · Environment GPU : Quadro T400 Driver : 510. Introduction. Jan 16, 2025 · FFmpegは強力な動画処理ツールですが、デフォルトの設定では必ずしも最適なパフォーマンスが得られるわけではありません。この記事では、FFmpegを使用した動画処理を高速化するための重要なオプション… $ ffmpeg -hwaccel_device 0 -hwaccel cuda -hwaccel_output_format cuda -i Big\ Buck\ Bunny. Mit ffmpeg und einer anständigen GPU (wie einer Quadro P4000) bekommt der h265/HEVC-Encoder von FFMPEG einen Geschwindigkeitsschub mit bis zu 90 fps beim Codieren von HD-Filmen mit den folgenden Parameterwerten und 200 fps bei Verwendung des GPU-beschleunigten h264-Encoders. From the reference materials listed below, I have been unsuccessful in finding a way to do so, but I wanted to check with the community to see if there is are additional approaches. 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 resoluti Apr 1, 2019 · 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-synchronization Dockerised setup for using GPU-based video decoding and encoding with FFmpeg and NVIDIA's NVDEC/NVENC, integrated with TorchAudio - abdur75648/ffmpeg-gpu Jan 14, 2024 · ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -i input. 通过安装和配置 CUDA 并在 FFmpeg 中启用 GPU 加速，我们可以显著提高视频处理任务的效率。GPU 加速能够在处理高分辨率视频、实时流媒体编码以及其他需要大量计算资源的任务中发挥重要作用。 Nov 27, 2020 · GPU-accelerated video processing integrated into the most popular open-source multimedia tools. for colour space conversions and video resizing during transcoding. Each decoder may have specific limitations (for example an H. 264 / AVC / MPEG-4 AVC / MPEG-4 part 10 (decoders: h264 h264_v4l2m2m h264_qsv ) (encoders: libx264 libx264rgb h264_omx h264_qsv h264_v4l2m2m h264_vaapi ), and the transcoding process shows: [hevc @ 0x561e69691a00] Using auto hwaccel type vaapi with new default device. Can use ! to indicate not condition (negative Jul 15, 2021 · solved : using cuda for hwaccel option I have a video. This will encode input_file. /ffmpeg -hwaccel cuvid -c:v h264_cuvid -i /data/1920x800. Is there a way to 'force' ffmpeg to use a GPU if that will be a faster option when converting or transcoding video? I'd be using Linux. I want to use: CPU (Sandy Bridge supports h. Ability to add your own custom high-performance CUDA filters using the shared CUDA context implementation in FFmpeg Oct 28, 2024 · Sample decode using CUDA: ffmpeg -hwaccel cuda -i input output Sample decode using CUVID: ffmpeg -c:v h264_cuvid -i input output FFplay supports older option -vcodec hevc_cuvid, but not -c:v hevc_cuvid (though support for -hwaccel was recently added). mp4 -vf scale_cuda=1920:1080 -c:a copy -c:v h264_nvenc -b:v 5M HexaLift11080P_cuda. However, even when running the CUDA flag -c:v h264_nvenc, I observe ffmpeg and python still take up a lot of CPU time. What I am trying to achieve is to accelerate video encoding using plain old CUDA on old pre-Kepler hardware (GTX 570 here, Fermi). Jun 14, 2018 · For it is necessary to configure FFmpeg with:--enable-cuda-sdk --enable-filter=scale_cuda --enable-filter=thumbnail_cuda We can resize frames at the decoding step then not necessary to use scale_npp filter. Before using FFmpeg, it is recommended to refer to the FFmpeg documentation, note the After discuss with libplacebo author, there has some incompatible with ffmpeg master, CUDA. For those who have known this repo as ffmpeg-gpu-demo, you can still find the demo pipelines in the ffmpeg-gpu-demo branch. Usage. Sep 15, 2019 · I am trying to use the nvenc nvidia hw accel encoder. 264 (downresizing to 444x250). mp4" -c:a copy -vf "scale_cuda=-2:480" -c:v h264_nvenc "output_file. These command lines share the CUDA context across multiple transcode sessions, thereby reducing the CUDA context initialization time overhead significantly. This standard input is provided by the ffmpeg_gpu_benchmark. For the build: FFmpeg build with NVENC and all available CUDA-based filters on Ubuntu 18. mp4 -vf scale_cuda=w=1280:h=720 -c:v h264_nvenc -preset slow output. This is super low quality but fast and provides a small (but useless) file full of pixelation. ，已经有--enable-cuda-nvcc了，因此我们也可以删掉--enable-cuda-sdk。） 启用libx264. 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 resoluti Dec 8, 2023 · This guide includes instructions on how to compile ffmpeg with CUDA support, and may get you started with hardware-accelerated filters. -hwaccel cuda Use hardware acceleration for decoding video-hwaccel_output_format cuda Keeps Jun 5, 2021 · 重要：Ubuntu 16. There is also an easy way to get an up-to-date OpenCV (currently 4. 4x speedup in throughput in the open-source tool FFmpeg and up to 37x lower latency at 4K. The processing speed remains the same. -init_hw_device cuda:0,primary_ctx=1. For the supported and available hardware accelerated features you can achieve with a current generation NVENC-capable NVIDIA GPU, see this answer. 22 was released on 2023-10-29. May 6, 2025 · Install nvidia accelerated ffmpeg in a conda environment. /configure --enable-cuda --enable-nvenc --enable-cuvid Nov 21, 2022 · FFmpeg build with CUDA support for Linux (especially for Google Colab, updated for NVIDIA driver version 460. mp4 -c:v av1_nvenc -b:v 8M -c:a copy output. ffmpeg -i input. mp4" -map 0 -c:v hevc_nvenc -preset p7 -tune hq -b:v 2. This worked for me (in Feb. GMAT is developed based on ffmpeg-gpu-demo, and features like tensorrt filter are kept in GMAT. ps1 Computing installation plan The following packages are already installed: tesseract:x64-windows-static -> 5. mp4" But this runs at only about 240 fps instead of 280 fps compared to the previous Nov 4, 2014 · 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. Controlling Speed / Quality-cpu-used sets how efficient the compression will be. Dec 5, 2020 · On the latest Intel CPU this should be as quick as the Nvidia HW decoder, plus it may be much quicker at writing than using Ffmpeg etc. NVIDIA FFmpeg 转码指南-中文版. 22 "Feynman" 2. First off, it is much faster — about 5x faster in my case, although that varies with quality settings. A toolkit showing GPU's all-round capability in video processing - GMAT/doc/FFMPEG-GPU_User_Guide. avi But i need to crop video file to 16:9 aspect ratio. 47. Is it possible to do this and still remain within the FFMpeg LGPL open source licence? And once you have ffmpeg. 04 I am following the instruction guide from NVIDIA's site to get ffmpeg running using GPU encoding. The acceleration is now officially a part of VMAF 3. To use CUDA Video-decoder(cuda), remember to check if your FFmpeg compiled with it by executing following commands in your terminal, and observing if output contains something similar as follows: Apr 21, 2022 · ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i "input_file. With ffmpeg and a decent GPU (like a Quadro P4000) the h265/HEVC encoder finaly gets a good speedboost with up to 90fps when encoding HD movies with the below parameter values and 200fps when using the GPU accelerated h264 encoder. The ffmpeg stores the image as HWC format. mp4" You'll need an NVIDIA graphics card that supports CUDA hardware acceleration. sudo apt-get install libx264-dev Mar 26, 2024 · -c:v h264_cuvid is calling CUVID, which is slower and less efficient than NVENC. We observed up to a 4. config import change_settings change_settings({"FFMPEG_BINARY":"ffmpeg"}) final_clip. PyAV-CUDA is an extension of PyAV that adds support for hardware-accelerated video decoding using Nvidia GPUs. like below image: [![enter image description here][2]][2] Sep 7, 2018 · 使用GPU硬件加速FFmpeg视频转码. Use yuv420p or nv12 can save the cpu load and reduce the memory copy from CPU to GPU. ffmpeg -hwaccel cuda -i 12. 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. This will start a daemonset that'll look for GPU enabled nodes and will run the nvidia installer each time a node starts. I am able to render the video in GPU using the flags -c:v h264_nvenc, I see a short peak in the GPU encoding, but with a long period of computer CPU hight load, I guess preparing the Speed. TorchAudio’s official binary distributions are compiled to work with FFmpeg libraries, and they contain the logic to use hardware decoding/encoding. mp4 Full hardware transcode with NVDEC and NVENC: FFmpeg resize using CUDA scale (filter scale_cuda is GPU accelerated video resizer ), full hardware transcoding example: $ ffmpeg -hwaccel cuvid -c:v h264_cuvid -i INPUT -vf scale_cuda=-1:720 -vcodec h264_nvenc -acodec copy OUTPUT. 264 videos at various output resolutions and bit rates. 32. 0-essentials (from gyan. You'll want to tune the bitrate parameter until it looks acceptable to you. 1) without CUDA acceleration, no FFMPEG support FFMPEG: no hardware accelerated decoding/encoding Meanwhile there is an Option to get FFMPEG with hardware accelerated decoding as decribed here. ts" -vcodec h264_nvenc -preset slow -level 4. Furthermore do some applications use CUDA together with the hardware decoder/encoder, i. mkv Use this option only if file size and encoding time are more important factors than quality alone. c"模块的主要任务是根据用户指定的解码器和显卡硬件加速器类型，将视频解码工作委托给硬件加速器完成。 Jun 12, 2023 · Determined by ffmpeg. mp4 and transcodes it to two different H. Optionally an use < or > or a range: fps: Frames per second. See full list on cyberciti. : ffmpeg -hide_banner -hwaccel nvdec -hwaccel_output_format cuda -i "input-1080p. HW-assisted encoding is enabled through the use of a specific encoder (for example h264_nvenc). g. Before using FFmpeg, it is recommended to refer to the FFmpeg documentation, note the Mar 2, 2019 · It seems ffmpeg is cross-compilable (non-free, using the new nvidia CUDA 10. VMAF key elementary metrics ffmpeg is a whole lot of encoders and decoders and filters in one software package. avi" -c:a copy -ac 1 -c:v h264_nvenc -preset hq -movflags faststart -qp 30 "output. To utilize GPU acceleration with FFmpeg, you need a compatible NVIDIA GPU and the appropriate CUDA toolkit and drivers installed on your system. 04LTS: Jul 24, 2019 · For more examples on how to use FFmpeg and a look at the advanced quality settings that are available please take a look at the “ Using FFmpeg With NVIDIA GPU Hardware Acceleration ” guide. FFmpeg is a powerful and flexible open source video processing library with hardware accelerated decoding and encoding backends. However, I suspect that the reason it hangs is because its trying to use cuda. The command I was using before: ffmpeg -hide_banner -hwaccel cuda -i "input. Default is 1. md at main · NVIDIA/GMAT Jun 30, 2021 · ffmpeg -i input -s 224x224 -pix_fmt bgr24 -vcodec rawvideo -an -sn -f image2pipe - But when I'm trying to use some NVIDIA GPU encoding, I'm always getting noisy images. Remove hwupload_cuda from the beginning of the filter chain. docker build -t ffmpeg . Basically what I want is described here FFmpeg supports hardware accelerated decoding and encoding via the h264_cuvid, hevc_cuvid and h264_nvenc, hevc_nvenc modules. device is the number of the CUDA device. 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 resoluti Jan 27, 2025 · 1:N HWACCEL Transcode with Scaling. 03 CUDA : 11. Feb 19, 2018 · I'm using my FFMPEG with the suport of my GPU (NVENC) to convert files from my satelite receiver (SD, mpeg2 . Aug 15, 2022 · GPU Accelerated Video Encoding with ffmpeg using CUDA on AWS. Apr 24, 2024 · Consider a simple FFmpeg use case: Take an . - ffmpeg_nvidia_conda_install. exe -i input_file. 00). scale_cuda=-1:720 means keep the same aspect ratio and match the other argument. 31 when purging everything 418 related and all of CUDA, but then it’s no longer possible to build a working ffmpeg using CUDA. Mar 8, 2024 · 1:N HWACCEL Transcode with Scaling. Some of the arguments of h264_nvenc are different from libx264. 04下编译ffmpeg支持CUDA下的cuvid vnenc和NPP 重要：Using FFmpeg with NVIDIA GPU Hardware Acceleration-nvidia官网 非常重要：NVIDIA FFmpeg Transcoding Guide-nvidia官网. Nov 7, 2022 · 参数含义解释-hwaccel cuda 设置硬件加速类型，可通过ffmpeg -hwaccels命令获取支持的加速方案。比如下图： -c:v h264_cuvid 设置编解码方式，-i 之前的就是设置解码方案，-i 之后的就是编码方案. 3. Nov 11, 2024 · 在FFmpeg中，有一个名为"hw_decode. 1 -qmin 10 -qmax 52 "e:\output. ffmpeg cannot do it, and all the commands above use those hardware engines, which are separate from CUDA/graphics cores. jpg images using a 1070ti nvidia cuda power, having a a crossfade transition between each image. Sep 1, 2023 · Here is how to use your Nvidia GPU to hardware accelerate video encoding with ffmpeg. Speed. mp4-files. lib files should be given to allow PyAv can properly interface to the specific ffmpeg version you want to use, and it can be done like this: python. One is the crf setting. ffmpeg -i "e:\input. dev) on Windows 10 Pro with a NVIDIA GeForce GTX 960. Use the Dockerfile. Sep 5, 2018 · Video Codec SDK已经被集成在ffmpeg工程中，但是ffmpeg对编解码器配置参数较少，如果需要充分的发挥编解码器特性，还需要直接使用SDK进行编程。 build ffmpeg with CUDA Getting Started with FFmpeg/libav using NVIDIA GPUs. Nov 8, 2022 · Use FFmpeg command lines such as those in Sections 1:N HWACCEL Transcode with Scaling and 1:N HWACCEL encode from YUV or RAW Data. Mar 13, 2022 · sudo apt-get install build-essential yasm cmake libtool libc6 libc6-dev unzip wget libnuma1 libnuma-dev nvidia-cuda-toolkit; Feb 7, 2025 · 要使用FFmpeg的GPU功能进行视频处理，你需要确保已经安装了NVIDIA的GPU驱动、CUDA和cuDNN，并且你的FFmpeg版本已经支持GPU加速。 例如，你可能需要安装NVIDIA的nv-codec-headers，这是 FFmpeg 与NVIDIA GPU 交互所需的头文件。 Feb 13, 2023 · When using -hwaccel cuda -hwaccel_output_format cuda, the decoding process is CUDA accelerated, and the decoded video is located in the GPU. Example command: ffmpeg -y -vsync 0 -hwaccel cuda -hwaccel_output_format cuda -extra_hw_frames 4 -i input. CUDA Deinterlace Oct 26, 2021 · 1:N HWACCEL Transcode with Scaling. Mar 16, 2019 · Thanks for the comment. Using GPU hardware to speed up FFmpeg video transcoding and pit draining HWAccelIntro-ffmpeg官网 Apr 25, 2018 · Hi ffmpeg from git is running OK with cuda 9. mp4, scale to 720p, and output it as another file. 03 and CUDA version 11. It is true that scale_npp is missing in Nixpkgs' FFmpeg: someone would have to contribute a flag to build ffmpeg with libnpp. mp4 -vf "scale_qsv=1280:720" -f null - ``` 使用 CUDA 硬體加速解碼器與篩選器： ```powershell ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input. py script. It integrates with FFmpeg and PyTorch, providing CUDA-accelerated kernels for efficient color space conversion. Notably, as far as I know libx264 and libx265 are CPU only A video game may do some parts using a GPU, but other parts using a CPU. This was true, but newer ffempeg implementations now use CUVID as a way to call NVENC/NVDEC, which is now reflected in the link provided in the documentation link at the bottom: CUVID for encode and decode is decades old and should be considered depreciated. 6 OS : Debian 11 (Headless) Hello, I am trying to implement NVENC hardware acceleration through ffmpeg. Scaling FFmpeg workflows with GPU acceleration improves processing throughput, lowers CPU usage, and maintains low-latency execution for video-intensive tasks. Feb 22, 2022 · As you see, ffmpeg receives data from standard input. mp4" Apr 20, 2023 · 1:N HWACCEL Transcode with Scaling. 8 release branch, which was cut from master on 2015-09-05. Sep 1, 2023 · ffmpeg lets you control quality in a variety of ways. Sep 14, 2020 · dxva 和 d3d11va 是解码器，cuda 是 NVIDIA CUDA，qsv 是 Intel Quick Sync Video。本文重点使用 CUDA。 要想使用 CUDA，需要使用如下参数：-c:v nvenc_hevc. mp4 最低限の動作確認終わり エンコードデコードは次回 Using FFmpeg with NVIDIA GPU Hardware Acceleration User Guide vDA-08430-001_v02 | July 2021 Table of Contents Chapter 1. mp4 -c:a copy -c:v h264_nvenc -b:v 5M output. Second, check to ensure that directory of ffmpeg is /usr/local/ffmpeg-nvidia by entering which ffmpeg into a shell. Use the example shown below. 本文内容包括： 在Linux环境下安装FFmpeg; 通过命令行实现视频格式识别和转码; 有Nvidia显卡的情况下，在Linux下使用GPU进行视频转码加速的方法 Aug 11, 2018 · As far as I understood all of them just pass the encoding to hardware encoder, without actually using CUDA. I tried to enter in the custom box. Below is an example of drawtext and drawbox being used together Dec 31, 2022 · Another working option is to use -hwaccel nvdec without the hwupload_cuda option, e. 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 resoluti Jun 4, 2019 · In your case, you'll need to build FFmpeg from source. mkv -vf "hwdownload,format=p010le,format=yuv420p,hwupload_cuda" -c:v hevc_nvenc -preset slow test. bwicwakfynnyqbkbcqfhnjcdaeewyaogefnmtndpujhcscpgegcm