SOLVED: Playback Error

[Kein]

G'day to everyone. 

I have a jellyfin server (V10.8.11-1) installed on a NAS Qnap TS-464-8G. 
It's not installed in a container (I'm a bit of a n00b and I've yet to master the craft), it's installed from a 3rd party developer called 'pdulvp'. Here's the link to the file: https://github.com/pdulvp/jellyfin-qnap. I've choose this option because it has the FFmpeg situation pre taken care of. 

Everything runs great, and works fine except for this one movie in a 2160p.UHD.Remux.HEVC.DoVi.TrueHD.Atmos.7.1-playBD.mkv format. When I try to open it I get the error from the Title. 


Below I've attached a FFmpeg log and a jellfin log. Any help or recomendations are wellcomed. 
Should I go ahead and try to install it in a container, would that be simpler for the server? How dificult is the aditional things that I have to install such as FFmpeg?

P.S. I'm a Windows user so, bear with me if I don't understant all Linux terms  .

[tmsrxzar]

hardware acceleration failed when trying to transcode

i would not begin to know how to set that up on a QNAP NAS but luckily the developer included instructions

follow the "Video Acceleration" directions and the following Troubleshooting section from the link you provided https://github.com/pdulvp/jellyfin-qnap

[TheDreadPirate]

Did you enable low power encoding? I am pretty sure it is required for the N5095 in your QNAP.

[Kein]

hardware acceleration failed when trying to transcode

i would not begin to know how to set that up on a QNAP NAS but luckily the developer included instructions

follow the "Video Acceleration" directions and the following Troubleshooting section from the link you provided https://github.com/pdulvp/jellyfin-qnap

I've missed the instructions, thank you for that. I followed a Youtube tutorial where it just stated to download that from there, and as such, didn't bother with the actual instructions provided by the developer. Unfortunatley same issue. 

Did you enable low power encoding?  I am pretty sure it is required for the N5095 in your QNAP.

No - was actually wondering about that. Unfortunatley same issue. 

Thank you for your support guys, but no luck so far. I also think it's a transcoding issue since other smaller files, with lower stats, work just fine. Even this one works on my TV with Kodi. But it doesn't on smaller screens.

[TheDreadPirate]

Does QNAP have the capability to run plain docker images?

[Kein]

Does QNAP have the capability to run plain docker images?

I think this is what you are referring to, right? 

[TheDreadPirate]

Yes. Backup your Jellyfin server data and give the official jellyfin image a try?

[Kein]

I'll try that. It will take a while (not as much spare time as I used to). Thank you for the support - I'll let you know what happens.

[Kein]

I'll try that. It will take a while (not as much spare time as I used to). Thank you for the support - I'll let you know what happens.

Okay, so one system crash later (don't ask me how I managed to scrue up my QTS software) and a full reset and now I have all my apps running as docker images. Unfortunaltey, that particular movie still doesn't work on smartphones/tablets. 
I'm just gonna give up on it 


Thank you all for the support!

[Kein]

Well, I've done it, eventually. 4K - 120 Mbps is a bit of an overkill - it buffers every minute or so, but hey it works (and regular movies are flawless).





Chat GPT hellped like a LOT, but you guys  also deserve credit, I do have a Intel® Celeron® Processor N5095 with no dedicated GPU on my Qnap NAS so I had to follow the guide to properly set up The Low-Power Encoding. 

I'll post the Docker configuration script in case anyone else has the same issue. 

Code:

# Clone the jellyfin-ffmpeg repository
git clone https://github.com/jellyfin/jellyfin-ffmpeg.git
cd jellyfin-ffmpeg

# Pull the latest Jellyfin Docker image from Docker Hub
docker pull jellyfin/jellyfin:latest

# Create directories for Jellyfin configuration and cache
mkdir -p /path/to/configs/jellyfin/config
mkdir -p /path/to/configs/jellyfin/cache

# Run Jellyfin Docker container with necessary configurations (be sure to include the full path '/share/CACHEDEV1_DATA/Container/etc')

docker run -d \
--name jellyfin \
-e PUID=1000 \
-e PGID=1000 \
-e TZ=Your/Timezone \
--net=host \
--privileged \
-p 8080:8096 \
-v /path/to/configs/jellyfin/config:/config \
-v /path/to/configs/jellyfin/cache:/cache \
-v /path/to/your/Shows:/Shows \
-v /path/to/your/Download/:/Downloads \
-v /path/to/your/Movies:/Movies \
-v /dev/dri/renderD128:/dev/dri/renderD128 \
-v /dev/dri/card0:/dev/dri/card0 \
--restart=unless-stopped \
jellyfin/jellyfin

# Wait for 30 seconds to ensure the container is up and running (not sure if this is a requirement but Chat GPT said so)
sleep 30s

# Install FFmpeg inside the Jellyfin container
docker exec -it jellyfin bash -c 'apt-get update && apt-get install -y ffmpeg'

# Clone the jellyfin-ffmpeg repository inside the container
docker exec -it jellyfin git clone https://github.com/jellyfin/jellyfin-ffmpeg.git

Originally I thought I could go with Intel QSV but eventually had to resort to VA-API. The Hardware Acceleration paperwork really came in handy. 

Thank you again!