CONVERSION ERROR - Printable Version +- Jellyfin Forum (https://forum.jellyfin.org) +-- Forum: Support (https://forum.jellyfin.org/f-support) +--- Forum: Troubleshooting (https://forum.jellyfin.org/f-troubleshooting) +--- Thread: CONVERSION ERROR (/t-conversion-error) |
CONVERSION ERROR - majorkuso - 2024-09-28 I recieve the following with converting 265 to something the jellyfin player on my roku tv can handle. the jellyfin server is in a docker container on unraid. Has anyone seen this before? Help is appreciated DURATION : 01:40:43.366000000 Stream #0:3(eng): Subtitle: subrip Metadata: title : SDH- WEB-DL BPS : 39 NUMBER_OF_FRAMES: 1139 NUMBER_OF_BYTES : 29329 _STATISTICS_WRITING_APP: mkvmerge v85.0 ('Shame For You') 64-bit _STATISTICS_WRITING_DATE_UTC: 2024-07-03 23:10:10 _STATISTICS_TAGS: BPS DURATION NUMBER_OF_FRAMES NUMBER_OF_BYTES DURATION : 01:40:53.805000000 Stream mapping: Stream #0:0 -> #0:0 (hevc (native) -> h264 (h264_nvenc)) Stream #0:1 -> #0:1 (copy) Press [q] to stop, [?] for help [h264_nvenc @ 0x55fe608c5340] Driver does not support the required nvenc API version. Required: 12.2 Found: 12.1 [h264_nvenc @ 0x55fe608c5340] The minimum required Nvidia driver for nvenc is (unknown) or newer [vost#0:0/h264_nvenc @ 0x55fe608c5040] Error initializing output stream: Error while opening encoder for output stream #0:0 - maybe incorrect parameters such as bit_rate, rate, width or height Conversion failed! nvidia-smi Fri Sep 27 21:11:29 2024 +---------------------------------------------------------------------------------------+ | NVIDIA-SMI 535.54.03 Driver Version: 535.54.03 CUDA Version: 12.2 | |-----------------------------------------+----------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+======================+======================| | 0 Quadro P400 Off | 00000000:82:00.0 Off | N/A | | 34% 39C P8 N/A / N/A | 80MiB / 2048MiB | 0% Default | | | | N/A | +-----------------------------------------+----------------------+----------------------+ +---------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=======================================================================================| | 0 N/A N/A 615 C HandBrakeCLI 26MiB | | 0 N/A N/A 20764 C HandBrakeCLI 26MiB | | 0 N/A N/A 33874 C HandBrakeCLI 26MiB | +---------------------------------------------------------------------------------------+ RE: CONVERSION ERROR - TheDreadPirate - 2024-09-28 Can you show screenshots of the docker config for the Jellyfin container? RE: CONVERSION ERROR - majorkuso - 2024-09-28 (2024-09-28, 01:34 AM)TheDreadPirate Wrote: Can you show screenshots of the docker config for the Jellyfin container? RE: CONVERSION ERROR - TheDreadPirate - 2024-09-28 Can you try with the official image instead of the binhex image? RE: CONVERSION ERROR - majorkuso - 2024-10-01 I can try. how do I restore my settings and libraries from a fresh install? RE: CONVERSION ERROR - TheDreadPirate - 2024-10-01 Well, using the official image would be in a separate container. We don't need to fully setup with the official image yet. We are just testing whatever the root cause is is specific to the binhex image or to unRAID. I probably should have asked this earlier. What version of unRAID are you running? RE: CONVERSION ERROR - majorkuso - 2024-10-01 I am running Version 6.12.2 2023-06-29 RE: CONVERSION ERROR - TheDreadPirate - 2024-10-01 You are quite a few versions behind. Regardless, from what I'm reading, you need to install Nvidia drivers via a plugin? The driver version in your first post is new enough, but some of the other Nvidia packages may not be? https://github.com/ich777/unraid-nvidia-driver https://forums.unraid.net/topic/98978-plugin-nvidia-driver/ I have a test unRAID setup, but it has AMD graphics, which does not require additional drivers to work with Jellyfin in docker. |