Hi, I’m trying to enable ffmpeg hardware acceleration in AGX orin. I have tried the following guides: https://docs.nvidia.com/video-technologies/video-codec-sdk/ffmpeg-with-nvidia-gpu/ [image] NVIDIA FFmpeg Transcoding Guide | NVIDIA Technical Blog All NVIDIA GPUs starting with the Kepler generation support fully-accelerated hardware video encoding, and all GPUs starting with Fermi generation support fully-accelerated hardware video decoding. Using_FFmpeg_with_NVIDIA_GPU_Hardware_Acceleration.pdf 258.17 KB Using the example test command: ffmpeg -hwaccel cuda -hwaccel_output_format cuda -i input.mp4 -c:v h264_nvenc -b:v 5M output.mp4 I get the following output: ffmpeg version N-109417-g5a46647f00 Copyright (c) 2000-2022 the FFmpeg developers built with gcc 9 (Ubuntu 9.4.0-1ubuntu1~20.04.1) configuration: --enable-nonfree --enable-cuda-nvcc --enable-libnpp --extra-cflags=-I/usr/local/cuda/include --extra-ldflags=-L/usr/local/cuda/lib64 --disable-static --enable-shared libavutil 57. 43.100 / 57. 43.100 libavcodec 59. 55.100 / 59. 55.100 libavformat 59. 34.102 / 59. 34.102 libavdevice 59. 8.101 / 59. 8.101 libavfilter 8. 52.100 / 8. 52.100 libswscale 6. 8.112 / 6. 8.112 libswresample 4. 9.100 / 4. 9.100 Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/home/orin/factorymonitor/samples/arsenal.mp4': Metadata: major_brand : isom minor_version : 512 compatible_brands: isomiso2avc1mp41 encoder : Lavf58.45.100 Duration: 00:00:21.90, start: 0.000000, bitrate: 1274 kb/s Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(tv, bt709, progressive), 608x1080 [SAR 1:1 DAR 76:135], 1142 kb/s, 25 fps, 25 tbr, 12800 tbn (default) Metadata: handler_name : ISO Media file produced by Google Inc. vendor_id : [0][0][0][0] Stream #0:1[0x2](eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 128 kb/s (default) Metadata: handler_name : ISO Media file produced by Google Inc. vendor_id : [0][0][0][0] File 'output.mp4' already exists. Overwrite? [y/N] y Stream mapping: Stream #0:0 -> #0:0 (h264 (native) -> h264 (h264_nvenc)) Stream #0:1 -> #0:1 (aac (native) -> aac (native)) Press [q] to stop, [?] for help [h264 @ 0xaaaaf8144340] Cannot load libnvcuvid.so.1 [h264 @ 0xaaaaf8144340] Failed loading nvcuvid. [h264 @ 0xaaaaf8144340] Failed setup for format cuda: hwaccel initialisation returned error. [h264_nvenc @ 0xaaaaf7b2df50] Cannot load libnvidia-encode.so.1 [h264_nvenc @ 0xaaaaf7b2df50] The minimum required Nvidia driver for nvenc is 520.56.06 or newer Error initializing output stream 0:0 -- Error while opening encoder for output stream #0:0 - maybe incorrect parameters such as bit_rate, rate, width or height [aac @ 0xaaaaf7b2e930] Qavg: 26316.979 [aac @ 0xaaaaf7b2e930] 2 frames left in the queue on closing Conversion failed! This document suggest that agx orin has nvenc/nvdec. Help would be appreciated.

Hi, We enable hardware decoding in the ffmpeg package. Foe hardware encoding, you may try to use jetson_multimedia_api. Please take a look at the samples: /usr/src/jetson_multimedia_api/samples/01_video_encode /usr/src/jetson_multimedia_api/samples/unittest_samples/encoder_unit_sample/

What about encoding? I’m mostly interested in generating videos from frames with hardware acceleration.

Okay, thank you for your help. Another question is can g-streamer do the same things? We might not be able to go low level programming. I found this. Would that make use of hardware accelaration?

Hi, We have developed v4l2 plugins for hardware encoding/decoding. Please take a look at gstreamer user guide: Accelerated GStreamer — Jetson Linux Developer Guide 34.1 documentation

AGX Orin hardware accelerated ffmpeg

Robotics & Edge Computing Jetson Systems Jetson AGX Orin

DaneLLL December 14, 2022, 2:01am 3

Hi,
Please refer to document and relevant topics:
Accelerated Decode with ffmpeg — Jetson Linux<br/>Developer Guide 34.1 documentation
Jetson TX2 and FFmpeg - Can't initialize nvrm channel - #5 by DaneLLL
Hardware accelerated video playback with L4T ffmpeg - #7 by DaneLLL

Hardware decoding is enabled in the package.

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AGX Orin hardware accelerated ffmpeg

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