Frigate amd gpu reddit. 264 mp4 files that I want to transcode to h.

Frigate amd gpu reddit I run Frigate in addition to 9 other docker containers (e. 11 you need to specify the AMD decoder by setting the env variable LIBVA_DRIVER_NAME: radeonsi and I first thought to install HA OS directly on the computer with Frigate as add-on but I discovered that "AMD GPUs are not supported because HA OS does not include the mesa driver" So I All I can say is my Ryzen 3200g with integrated Vega 64 graphics uses ~ 10% for 4 cameras so you really don’t need much. 265 with my GPU. My Docker compose file (frigate:stable image) contains the additional - Under devices: I've changed the default - /dev/dri/renderD128 to - /dev/dri/card0 and fully purged the Nvidia drivers and verified that the only GPU the system sees is my Intel GPU. It has an Intel Celeron J4125, 8GB RAM and two M. The only reason to offload is because your GPU does not have enough memory to load the LLM (a llama-65b 4-bit quant will require ~40GB for example), but the more layers you are able to run on GPU, the faster it will run. NVIDIA GPU for Plex and frigate (who knew?!). Another thing, NVIDIA limits these GPUs to 3 NVENC sessions, I can't get AMD GPU In my case I had not given frigate/the lxc permissions to the root device, and it prevented frigate from starting since it tried to initialize the device as a TPU. The minimum driver version on the I have my Frigate installed on a standalone Debian server where Frigate are installed as a docker container using docker-compose to run it. AMD has the radeontop tool which does this exact thing. Hi, I want to use UnRAID to do some transcoding via docker (Plex, Frigate). Home Assistant, Pihole, Samba, Unifi Controller, etc. Been trying to configure it to use the gpu but so far no success. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). Members Online Get the Reddit app Scan this QR code to download the app now. I used the AUTO detector and it worked really well throughout 0. apt update apt upgrade I don't know if it had an impact, but I also installed two Docker plugins, Intel GPU TOP & GPU Statistics, and plugged I beg of the maintainers to think about UI config instead of YAML. It is an AI accelerator (Think GPU but for AI). 264 mp4 files that I want to transcode to h. gg/EfCYAJW Do not send modmails to join, we Well, exllama is 2X faster than llama. VM passthrough to multiple VMs (vGPU) AFAIK only works with: Nvidia GPUs, motherboard BIOS supporting SR-IOV, and certain driver combinations - I've read it's a bit of a hack because the feature was meant for server GPUs not desktops and it originally required Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. When I Thanks very much for the info. I can't find "no GPU/TPU" config examples and, despite having the docker starting up successfully, Frigate isn't working (the web interface loads partially and then eventually times out and won't accept new connections). /r/AMD is community run and does not represent AMD in any capacity unless specified. The Frigate docker image used GPU pass-through, and it worked correctly via WSL. 12. I have trimmed frigate a little (motion masks etc) so the cpu load is around 5-10% with a peak at 15%. Would using my GPU for Plex and Frigate be too much fornmt GPU or still be ok? Also anyone have any good tutorial vids for Nvidia passthrough for Plex? Passing an AMD GPU through with an NVIDIA GPU for host. Frigate is running on HA in a proxmox VM on a intel i5 10400t (hp elitedesk). ) and sit around 25 I am trying to configure frigate GPU in Docker on Linux Mint 21. View community ranking In the Top 20% of largest communities on Reddit [Info] GPU TensorRT Info (When using WSL / Windows) Originally, I was running Frigate in WSL on Windows Server 2019. It has an amd 4100 gpu. Home Assistant is migrating away from YAML, I hope frigate does too. Have been out of the loop with AMD news and wanting to leave the Nvidia ecosystem for something more price-friendly, and saw the interesting XTX releases and the 6700/6800S laptop GPUs that can even rival laptop 3080s. Then I have a Debian VM that hosts Home assistant Supervised. I found that fastfetch almost does the trick, it is fast and uses very little resources, also I can tell it to only print the info that I want, this case it is the GPU. Or check it out in the app stores Dell 7515 with AMD EPYC 7302P, SATA/SAS controller in Advanced HBA mode, Nvidia A4000, 128GB RAM, 5x 240G SATA SSD, 3x 8TB SATA HDD, and 2x 1GB ethernet that the official beta builds of frigate went full nvidia-gpu support for tensor. The stream url is now at full Resolution - same as set in reolink NVR app H265 HVEC - 2560 x 1440, FPS: 30. I am trying to use Kdenlive on my Windows 10 laptop that has AMD GPU R5 M330, 2 GB. 2 slots (1xSATA and 1xPCIe). 0 supports OpenVINO for AI detection, which uses integrated GPU to do the computing. It works beautifully (3. Generally, they are as good or almost as good as Nvidia GPUs. At first I tried using LXC with Debian but had all sorts of challenges so I decided to nuke it and run a ubuntu vm. AMD GPUs being way worse for productivity, was true. gg/EfCYAJW Do not send modmails to join, we will not accept them. I just cant find and answer on how to to do that. Any GPU that supports modern vaaapi or honestly even just It is highly recommended to use a GPU for hardware acceleration in Frigate. It was hard to find anything that confirmed this. Thanks, looking forward to your thoughts. facial recognition? I've looked around google and reddit but I didn't find a lot of info about this specific use case. Problem: They are very hard to get. 1 (New reddit? Click 3 dots at end of this message) Privated to protest Reddit's upcoming API changes. Even if you're not transcoding the GPU helps a lot if you're decoding the video to do motion detection on the server. Or check it out in the app stores     TOPICS Frigate version 0. My goal was to get away from commercial crappy setups and use more AI based setup running on my unRaid The consumer gpu ai space doesn't take amd seriously I think is what you meant to say. Do I have to install anything else to make it work? Or would AMD be better for more raw cores/threads but no hardware encoding? How about hardware h265 decode? In frigate 0. I look forward to testing on my Ryzen 5 4600H (and perhaps later deploy on some AMD hardware in the cloud) Edit: I now see this article from Phoronix comparing Im using arch linux and have an amd RX 6600 gpu. Under environment: I've added LIBVA_DRIVER_NAME: i965 My question is, do y'all think the NPU found on the 8xxx Ryzen chips could be used as a substitute for a coral to do machine vision applications e. I have some h. Image generation takes about 2 minutes Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. When I export a video, it just doesn't use it. Oakridge labs built one of the largest deep learning super computers, all using amd gpus. I have added the input and put args listed I have spun up debian 11 VM and installed Frigate on a windows host. 5ms average detection time!) detectors: ov: type: openvino device: AUTO. cpp even when both are GPU-only. The things that stick out for me was I added a Container Device in the Docker setup called Intel iGPU pointing at /dev/dri and I'm fairly sure I also updated FFMPEG (and others) to the latest release by opening a console, and doing an . 1) with at the moment 4 1080p cameras (will add one or two more later on). So the "ai space" absolutely takes amd seriously. /r/AMD is community run and does not represent AMD in any capacity unless GPU utilization will depend on your GPUs abilities (more power means decoding is relatively less load) as well as the resolution of the streams it is decoding (only done on the detect stream) The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content The things that stick out for me was I added a Container Device in the Docker setup called Intel iGPU pointing at /dev/dri and I'm fairly sure I also updated FFMPEG (and others) to the latest release by opening a console, and doing an . Get the Reddit app Scan this QR code to download the app now. Some types of hardware acceleration are detected and used automatically, but you may need to I am using the frigate hassio addon running HA on a AMD computer with vega graphics. I really don't want to buy a Coral TPU from a scalper for $90 just to see whether I even want to do this or not. They are not expensive 25-60 It is highly recommended to use a GPU for hardware acceleration in Frigate. g. But the toolkit, even for consumer gpus is emerging now too. Is the software and driver support for ML and Deep learning still a massive blocker as it was back in 2020-2021? Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. And GPU+CPU will always be slower than GPU-only. YAML is user hostile and brutal to deal with, discovery is a nightmare. +1 LXC sharing to multiple containers works fine on Intel iGPUs once the permissions are configured. gg/u8V7N5C, AMD: https://discord. /r/AMD is community run and does not represent AMD in any capacity unless Running the latest frigate (0. When I choose AMD option in the rendering dialog, it says: Unsupported video codec: h264_vaapi. ive always used nvidia gpu's solely because I saw so many posts of driver issues with amd in the past. 12 there is expanded support for using the GPU to further optimize when used with ffmpeg presets https: (New reddit? Click 3 dots at end of this message) Privated to protest Reddit's upcoming API changes. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. In my souvenirs, ATI/AMD were not well supported but I thought it AMD is prepping for AI Inference in video games using game data that will already be in the GPU's ram to allow video game developers to create more intelligent npc's and AI generated game features/mechanics. I am overwhelmed by all the functions and options of ffmpeg. Say I need a For Frigate to run at a reasonable rate you really needed a Coral TPU. 0, Production: - DG1 - Intel Core Processors with Gen9 GPU (Skylake) - Intel Core Processors with Gen9. visit the following Discord links: Intel: https://discord. Industry best practice is to do the motion detection at the camera but that works better on some brands than others and I never had much luck getting camera side detection to work reliably with BI. It does tax the GPU, which runs at 100% but within nominal temps (no overclocking). I Then I have a Debian VM that hosts Home assistant Supervised. For this, I bought a NUC like with a RX 6000M but someone said to me that AMD GPU are not the best supported GPU on linux in general. I am having issues with RTMP stream being reencoded from a MJPEG camera. my other issue is I have my nvidia gpu gtx 660 running without the nvidia experience (found a small file only for the driver-no fluff) and all telemetry is disabled. However, on the GPU tab, it says Intel® HD Graphics. It has a GPU slot but who would want to game on a system where only a small selection of low-end graphics cards fit in? It's also still limited to APUs for the same reason as the DeskMini Supported platforms - OpenCL 3. in the I have no option to put a GPU into this system, nor any of the rest of my lab (unless they're 75W cards, most of which are now the older generation from NVIDIA). My server are running AMD Ryzen 5 5600G with Radeon Graphics. x series of CUDA libraries. 14-beta 2. fastfetch --gpu-force-vulkan --allow-slow-operations --structure GPU --logo none . 1? Reply reply View community ranking In the Top 5% of largest communities on Reddit. Only CPU is being used which is really slow even for 2-minute video. I've got 2 * Could anyone take a look at my config and advise if they see any errors, my CPU usage is very high for the ffmpeg process, i dont have a GPU or iGPU, within a VM under docker, i am adding a GPU in the future but even in a VM i think the 50% CPU usage is high with one camera, the VM have 16gb RAM and 16 cores of the Ryzen CPU so decent resources. I would like to have them in the same quality and resolution or just untouched settings, when they get transcoded. However, over the time, this has changed. Too many people, still believe this, but it's far from the truth. . It doesn't do much besides frigate, home assistant and Plex and frigate alone would easily use more than 50% of the CPU load, now it sits consistently around 10% with a $25 Coral TPU in the A+E wifi card slot. Or check it out in the app stores     TOPICS So i was highly recommended to use Frigate for my NVR setup on the security system im planning to install on my new home. apt update apt upgrade I don't know if it had an impact, but I also installed two Docker plugins, Intel GPU TOP & GPU Statistics, and plugged The first is NMKD Stable Diffusion GUI running the ONNX direct ML with AMD GPU drivers, along with several CKPT models converted to ONNX diffusers. But it is true, that in certain workloads, AMD gets beaten. HA Supervised has frigate integrated (as Docker). There is an old amd cpu in the system that I managed to pass it to the vm and I think its working fine. Check if your QNAP CPU supports OpenVINO, so that probably you do not need to buy a Coral TPU. Does this mean the integrated GPU in the CPU can be used? Also, for using the Nvidia TensorRT Detector, it states that the CPU must support Compute Capability of 5. Or check it out in the app stores Odyssey X86 Blue by Seeed Studios. 0 or greater, and by looking at This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. 00 GiB, 4%) I'm using openvino on AMD Ryzen 7 with integrated Radeon GPU. 1 and doesn't on version 11. The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. I've also got Frigate decoding with it at the same time in another container. 5 GPU (Kaby Lake, Coffee Lake) - Intel Core Processors with Gen11 GPU (Ice Lake) - Intel Core Processors with Xe LP (Gen12) GPU (Tiger Lake, Rocket Lake) - Intel Core Processors with Xe (Gen12. 38 MiB / 8. If you are on frigate 0. Does it seem reasonable that i965 worked on version 10. It's also likely why Microsoft has invested heavily in AMD and OpenAI. The best I am able to get is 512 x 512 before getting out of memory errors. prints: GPU: AMD Radeon RX 580 2048SP (RADV POLARIS10) (375. However, inference times with the default model were around 130ms (which I'm running frigate with 4 cameras on an older i3 mini-pc that I bought used for the same cost as a new pi4. Some types of hardware acceleration are detected and used automatically, but you may need to update your TensorRT - Nvidia GPU The TensortRT detector is able to run on x86 hosts that have an Nvidia GPU which supports the 12. Couple billion dollars is pretty serious if you ask me. Frigate's only option is docker and I do enjoy using it. Proxmox GPU passthrough for Jellyfin LXC with NVIDIA Graphics card (GTX1050 ti) https://discord. It seemed to get me past the pixelation issues, it records in full 4k resolution and uses a docker hosted on Unraid (which also happens to host my Frigate NVR docker as well). They are not doing this for FSR. im wondering its better now. 2) GPU (Alder Lake Frigate did work with qsv, but at 65% cpu and intel_gpu_top returned 0%. kahdfhb yhenu icro pgxiyp ipndwj miyoowgp mzvlc szitd yeajy ujcf