unmanic
nvidia-patch
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unmanic | nvidia-patch | |
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44 | 309 | |
1,373 | 2,959 | |
5.1% | - | |
7.9 | 8.5 | |
7 days ago | 8 days ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
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unmanic
- any self-hosted solution to transcode and download a local video from a webui?
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AV1 Encoding in Handbrake w/ Intel Arc (Docker)?
The next step would be to figure out a bash script like that, work with the dev of Unmanic (https://github.com/Unmanic/unmanic) , or etc to start encoding my library once I know what I want.
- Weird Unmanic Behavior (no Unmanic subreddit, maybe someone here will know)
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Is there meaningful difference between FFMPEG and JELLYFIN_FFMPEG (Unmanic)?
I was eyeballing installing unmanic, a ffmpeg queue tool (https://github.com/Unmanic/unmanic) similarto TDarr, but one thing caught me off guard in the setup Dockerfile:
- Is there a way to force Jellyfin to remux all MKV to MP4?
- Need an app for automatic scanning, sorting, organizing and meta data extraction?
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if I play movies using Amazon firestick, how can I tell if they are being directstreamed or not?
Unmanic
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Most used selfhosted services in 2022?
- unmanic : basically a FFmpeg GUI. I just wanted to test it and next thing I know, I passed through multiples tv shows and got down from 8TB to 6.5TB
- Secondary/Fallback AAC Stereo Track
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Why is Plex so slow on the RPI 4 ?
You may also wish to look into Unmanic for the ongoing maintenance of your media library. I don't currently use it myself. I have been meaning to try it, just haven't got around to doing it.
nvidia-patch
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Do I need to have a beefy PC to transcode 4k? Or can I just buy my brother an Nvidia shield pro and setup a cheap server on my end?
This can be patched out. https://github.com/keylase/nvidia-patch
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Transcoding 4K HDR tone mapping
NVIDIA Corporation GA106 [GeForce RTX 3060] and I applied the patch here https://github.com/keylase/nvidia-patch
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Linux 6.6 to Protect Against Illicit Behavior of Nvidia Proprietary Driver
> CUDA, and pretty much all optimization(hacks) done to run games better
And arbitrary limitations implemented at the driver level to force you to purchase their enterprise GPUs, see https://github.com/keylase/nvidia-patch#nvenc-and-nvfbc-patc...
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GPU Guide (For AI Use-Cases)
Nvidia has no motivation to make a consumer card with lots of VRAM, that's basically the only (relevant) separator between the GeForce family and the Quadro lineup.
There are restrictions on NVENC streams with consumer cards, but that has been a solved problem for a while [0].
If they were to make a consumer card with more VRAM, it would immediately undercut their own Quadro/Tesla lineup, which cost substantially more. I don't see a reason for them to do it.
0: https://github.com/keylase/nvidia-patch
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Can't hardware transcode mor than 5 at a time even after all the required changes
I have never had to do the session limit bump thing from the last link. I have a 3090 as well and simply did the initial unlock, which worked fine. I would reinstall fresh drivers from Nvidia, making sure you install the newest one that is supported by the unlock tool (536.40 as of this post, the GitHub for the patch has links to the drivers - https://github.com/keylase/nvidia-patch/tree/master/win)
- Can you flash any consumer version Nvidia card to remove the streaming limits?
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Can my GPU transcode?
Aren't these Quadro versions. The patch here. https://github.com/keylase/nvidia-patch supports Quadro versions of you click on the win clickable.
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Let's have a talk - Guide to Choosing the Best Plex Server for You
Second, the GPU. The GPU is probably as important as the CPU, and in some cases more important, and when we talk about GPUs we will primarily talk about Nvidia GPUs as they are officialy supported by the Plex team. NVIDIA GPUs are important for Plex hardware transcoding due to their dedicated video encoding/decoding units, superior performance, wide codec support, improved video quality, reduced CPU load, power efficiency. They offer a powerful hardware acceleration solution that can greatly enhance the transcoding capabilities of a Plex server. It's also important to note that Nvidia GPUs require a patch to unlock the number of HW transcoding streams. Dedicated GPUs are large pieces of hardware and have their place in desktop PCs. However, they can also be used with mini-PCs by using an external GPU enclosure.
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What does this Max. 3 concurrent stream cap mean anway?
As there's no NVENC patch available (yet) for the Beta driver branch - referring to this one: https://github.com/keylase/nvidia-patch - which can lift the limits of HW transcoding, I was now wondering a little, as I can see 5 (hw) streams on Plex, which actually shouldn't/cannot be the case no?
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Is there somewhere that lists Nvidia GPUs.
I haven’t done this yet but there is a patch on GitHub that removes the limitation for consumer GPUs. Makes lower end cards more attractive for this type of work
What are some alternatives?
enhance-o-tron-for-plex - Adds 🎬 trailers, 🎲 random sorting, 📽️ 2.35:1 ultrawide zoom, and 🔊 audio compression to Plex*
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
sickbeard_mp4_automator - Automatically convert video files to a standardized format with metadata tagging to create a beautiful and uniform media library
nvlax - Future-proof NvENC & NvFBC patcher (Linux/Windows)
ErsatzTV - Stream custom live channels using your own media
Sunshine - Self-hosted game stream host for Moonlight.
jellyfin-tizen - Jellyfin Samsung TV Client
wlroots - A modular Wayland compositor library
frp - A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.
Proxmox-Nvidia-LXC- - how to create an Proxmox LXC in 6.2-1
Hama.bundle - Plex HTTP Anidb Metadata Agent (HAMA)
sunshine - Host for Moonlight Streaming Client