Frigate amd gpu reddit Frigate will always run the detect stream because that is used for things like motion detection and taking snapshots which is used for recording. I've had a few issues with the Frigate container crashing on me. The computer is running (it's dark outside so maybe less motion detected for processing) at about 12-17% load with 3GB RAM used. There is an old amd cpu in the system that I managed to pass it to the vm and I think its working fine. Why is hashcat not recognizing my rx 6750 xt and only using my cpu I'm also getting these squares on the screen Best way to install HA + Frigate on dedicated computer with GPU for decoding. It's mainly mode: all # Optional: Per object retention days #objects: # person: 15 # snapshots config snapshots: # Optional: Enable writing jpg snapshot to /media/frigate/clips (default: shown below) enabled: true # Optional: save a clean PNG copy of the snapshot image (default: shown below) clean_copy: true # Optional: print a timestamp on the snapshots (default: shown below) Frigate needs to do video decoding to get the video frames, to "see" what's in the video. HA Supervised has frigate integrated (as Docker). Couple billion dollars is pretty serious if you ask me. I have another pc with a ryzen 5 3400g. First time setting up this kind of thing, plus itll be in docker. 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. OMFG it's just incredible, with deepstack(not convinced yet) double take and compreface(wow again) but my CPU is taking a bit of a hit. What would be the recommendation for GPU that's cost effective if I'm planning to have perhaps around 5 streams? Get the Reddit app Scan this QR code to download the app now. But the toolkit, even for consumer gpus is emerging now too. 1. ) and sit around 25 Get the Reddit app Scan this QR code to download the app now. And GPU+CPU will always be slower than GPU-only. I don't think gpu's can be used. 1 and doesn't on version 11. Originally, I purchased an NVidia Tesla K80 GPU for cheap on eBay. Edit: Updated config here. Trying to swap systems since I have a home server with an integrated AMD GPU (AMD Ryzen 3 5400U with Radeon Graphics). View community ranking In the Top 5% of largest communities on Reddit. fastfetch --gpu-force-vulkan --allow-slow-operations --structure GPU --logo none . Disabled recording (temporarily). Posted by u/Cvalin21 - 1 vote and 4 comments RAM Usage is about 70%, I can still upgrade. Question: What is your personal experience with ZoneMinder or Frigate in the last year, and what for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews Good morning all, I'm attempting to create a Frigate container using the following docker run -d \ --name frigate \ --restart=unless-stopped \ /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. im wondering its better now. I'm running Frigate as a Docker within unRAID with all other Dockers/VM's stopped. I recently decided to just install Debian 12 on the server and run frigate directly on there with Docker. 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. 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. You want a minimum 6th Gen Intel CPU to process the frigate streams using OpenVino. The xeon's apparently don't have hardware acceleration for transcoding so I can't set that The consumer gpu ai space doesn't take amd seriously I think is what you meant to say. More directly, Nvidia is not without some material benefits: DLSS, RT Performance, driver stability/QA/maturity, Nvenc encoder being miles ahead of AMD's equivalent, faster and great vram counts on some cards which helps quite a bit in VR applications, and SAM is not an . gg/EfCYAJW Do not send modmails to join, we will not accept them. SC is not effectively using all 12 cores. I'm running Plex, Frigate (8 cameras), and Deepstack dockers, which all use a GPU (among other unrelated dockers) on my Proliant DL380 G9 server. +1 LXC sharing to multiple containers works fine on Intel iGPUs once the permissions are configured. r/frigate_nvr A chip A close button. Hailo-8l PCIe Frigate supports the Hailo-8l M. No GPU, pass through is also not an option with this board since the PCI is tied to the NICs. Help with parrot os and amd gpu. they have an ability to share ram cache with the gpu on new amd cpus' paired with amd gpu. 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 frigate. If you have an AMD GPU you need to change the environment variables (I did it in my frigate I was wondering if there are any tips to get the integrated graphics from the AMD cpu to be used for hardware acceleration? I tried using similar to intel and the AMD GPU but It is highly recommended to use a GPU for hardware acceleration in Frigate. Under environment: I've added LIBVA_DRIVER_NAME: i965 Supported platforms - OpenCL 3. Make sure whatever board you have is powering the iGPU. According to the frigate dev I want to get a mini pc to run my 8 security cams plus HA. 11 you need to specify the AMD decoder by setting the env variable LIBVA_DRIVER_NAME: radeonsi and For this, I have a dedicated (overkill) computer with Ryzen 7 5800H CPU and RX 6600M GPU (that will serve to other projets too). g. This seems to be on a case by case basis. A Pi4 4GB can handle 4 camera Technically the GPU supports more operations but in general what I have seen is that the key point is the data the model was trained on. The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. how to map frigate docker (w nvidia gpu) and HA VM . I tend to not bother with the NPU and run multiple models on various cores. I was first considering the n100 but I saw that a ryzen 5 5560u is not much more for a lot more power/cores. Building on #14653 (reply in thread) and keen to get views of those using 0. I've been using HA in VM environment, and I'm trying to install frigate-nvidia, but documentation seems to indicate that HA config yaml file and frigate. NVIDIA GPU for Plex and frigate (who knew?!). Members Online Frigate's only option is docker and I do enjoy using it. My n100 is 100% utilization on 2 cores with the single test stream. The built in graphics also works great for hardware acceleration in frigate. Just the Reolink NVR and would like some added functionality between Frigate and Home Assistant. Video decoding can be done in CPU in software, accelerated by CPU's iGPU, or accelerated by a discrete GPU. A community dedicated toward all things AMD mobile. Reolink 4k cameras now have 4 FPS input from camera and frigate which match. gg/u8V7N5C, AMD: https://discord. Does frigate support AMD Ryzen™ 7 PRO 5750G for transcoding If i use the Ryzen™ 7 PRO 5750G itll be much less power generation and i can still put my 6700XT GPU in the PCI-E Slot #1 and even though the 5750G cuts down PCI-E #1 to PCI-E 3. If you run a different model it may perform better, or worse. I have couple of nvidia GPUs in my Unraid server at the moment. AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) It is highly recommended to use a GPU for hardware acceleration in Frigate. I would like to have them in the same quality and resolution or just untouched settings, when they get transcoded. I don't think an Rx 7800xt would be any slower than a 7900xtx at 1440p, because your CPU will most likely hard limit your FPS to a heavy degree. I have the Coral TPU and used to transcode with my GPU too, but I'm actually saving power by using my CPU for that now. 0 x 16 speeds i think that will be perfectly fine for my 6700XT (New reddit? Click 3 dots at end Im using arch linux and have an amd RX 6600 gpu. cpp (built with Vulcan and fully utilizing my GPUan RX 570) along with the given sub 4gb jump to content. Proxmox GPU passthrough for Jellyfin LXC with NVIDIA Graphics card (GTX1050 ti) https://discord. Get the Reddit app Scan this QR code to download the app now. I have some h. This summer I have paid scalpers on eBay 2x & 3x list price for cards. edgetpu INFO : Attempting to load TPU as usb frigate. If you are on frigate 0. AMD has the radeontop tool which does this exact thing. Get app Get the (along with an ffmpeg preset so it uses your GPU) Reply reply Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Then I have a Debian VM that hosts Home assistant Supervised. Frigate logs do not indicate issues. Tried Frigate on that as a trial (in an ubuntu docker container), just used all the CPU no matter what arguments I passed in. 0 or greater, and by looking at The fact that your CPU usage is not 100% does not mean the bottleneck is not the CPU. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Freely discuss news and rumors about Radeon Vega, Polaris, and GCN, as well as AMD Ryzen, FX/Bulldozer, Phenom, and more. 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 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. In my souvenirs, ATI/AMD were not well supported but I thought it Yes, Google coral is used to aid Frigate's object detection and without it the CPU will have a very hard time. prints: GPU: AMD Radeon RX 580 2048SP (RADV POLARIS10) (375. So since I have some cameras I could see a lot of people using Frigate and saying how awesome it is. A Nvidia P4 for VMs and a 1660 for media transcoding. Theoretically, the integrated graphics are radeon hd7560 lspci -nn | grep -i vga I had to install an nVidia CPU for hardware decoding in additon to the Coral for detection which made that 3% instead. I am overwhelmed by all the functions and options of ffmpeg. However, I’m happy to replace my I am not running Frigate today. However, inference times with the default model were around 130ms (which is not really that bad, however not great). I run Frigate in addition to 9 other docker containers (e. This GPU does not have active cooling and is /huge/. Well, exllama is 2X faster than llama. Below is a detailed overview of the supported hardware configurations that can enhance your Frigate setup. GPU can use ArmNN and from my tests is a 75% of what the CPU can do. 5ghz each with 192gb of ram and the frigate is on a 7200k sata hdd. /r/AMD is community run and does not represent AMD in any capacity unless specified. After a video frame is decoded, Frigate can perform object detection. The only reason to offload is because your GPU does not have enough memory to load the LLM (a llama I'm using openvino on AMD Ryzen 7 with integrated Radeon GPU. I beg of the maintainers to think about UI config instead of YAML. 14-beta 2. Or check it out in the app stores TOPICS Is my CPU Usage normal for Frigate? AMD quad core 2. More info: https Him:if you had an amd cpu and got the 7900 you would get better performance. I have a poweredge r720x with dual xeon E5-2643 so that's 12 cpu's at 3. get reddit premium. 15/looking to 0. Especially when using for facial detection, you want the latency to be as low as possible and the Google Coral has much lower latency However, on the GPU tab, it says Intel® HD Graphics. Another thing, NVIDIA limits these GPUs to 3 NVENC sessions, I can't get AMD GPU I have Lenovo TS140 running ESXi and I have a guest OS where my frigate docker instance is running on with Coral USB passthrough. Read documentation and Maybe stop posting german on a international Reddit it is super rude. . AMD GPU's and CPU's support hardware decoding but Frigate does not support them. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen3, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated decoding in ffmpeg. It works beautifully (3. I was wondering if there are any tips to get the integrated graphics from the AMD cpu to be used for hardware acceleration? The Frigate docker image used GPU pass-through, and it worked correctly via WSL. ive always used nvidia gpu's solely because I saw so many posts of driver issues with amd in the past. I've also got Frigate decoding with it at the same time in another container. frigate. Though, my original plan was to run it on a 2012 Mac mini. Can run yolov8n at 140fps, and yolov8s at 60fps. Get an ad-free experience with special benefits, and directly support Reddit. I then adjusted my Frigate docker containers config and added the ffmpeg config to Frigates own config and Frigate is now happily using the GPU. You can buy a laptop with an AMD APU and play games at scaled down settings. Or would AMD be better for more raw cores/threads but no hardware encoding? How about hardware h265 decode? In frigate 0. It was hard to find anything that confirmed this. 265 and Frigate decode it on the fly, but it seems it uses only 24-25% GPU and way too much CPU. Please read the rules prior to posting! I bought a Coral specifically to use with Frigate. I could Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. Home Assistant is migrating away from YAML, I hope frigate does too. 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. It is an ITX system so I don't have much option to use a GPU as the single PCIe slot is already taken up. iGPU is dedicated for HomeAssistant in Proxmox, and camera is H. visit the following Discord links: Intel: https://discord. Works fantastic. shoulda bought an amd Does this CPU usage seem reasonable? Any way to lower the use? I already use the low quality sub streams when available. com The step you need to do in frigate to convert the network into the right format for your hardware is the step during which all the network weights of the network are converted into the right format for your hardware (8bit 16bit, float/int) so the difference already starts there as one has to round values in that process and more or less digits are retained. 0 x16 Slot (PCIE1: x16 mode) slot open as well. Run Proxmox. Intel is a better bet than AMD here from what I've heard, at least with transcoding. For some reason there are people who think that the latest driver is the only thing you can use and must get it working in your system. 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 Thanks very much for the info. QSV rocks. The officially unofficial VMware community on Reddit. From Zen1 (Ryzen 2000 series) to Zen3+ (Ryzen 6000 series), please join us in discussing the future of mobile computing. 2 has vector Mat/Mul instructions and you can run Lllama GPT like models 20+ tokens/sec. So, I've placed a backorder for a Coral and now I'm trying to configure Frigate A few VM but still enough horsepower to run Frigate (I Hope). they can use the onbaord ram and make yo uget extra 10% in performance. /r/AMD is community run and does not represent AMD in any capacity I've a 2600x (95W TDP) CPU with Google Coral and no GPU. Better features as a blanket staement seems like a bit of a stretch with some of Nvidia's offerings. 2) Frigate's installation documentation mentions that AMD GPUs don't work. 1 (New reddit? Click 3 dots at end of this message) Privated to protest Reddit's upcoming API changes. r/crackthis • by jacklegminer2. We're now read-only indefinitely due to Reddit Incorporated's poor management and decisions 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) Frigate is designed to leverage the capabilities of various hardware platforms for optimal performance in GPU passthrough scenarios. Yeah I was thinking about using an nvidia card with Frigate. edgetpu INFO : No EdgeTPU detected. you are not using hwaccel and you are currently using your CPU to decode the high res stream, scale it down to 1280x720, and then running motion detection on it Frigate does use the GPU for processing the feed, but not for object detection. 38 MiB / 8. My Frigate config is here. The only thing I ran into specific to AMD/Ryzen was that the process for setting up GPU transcoding in Jellyfin on an AMD GPU was unclear and a bit of a pain (I was new to Unraid, Jellyfin, and Docker at the time) but once Is there a way to run Frigate without any GPU function at all, for testing purposes? 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. Edit: changed readme link. gg/EfCYAJW Do not send modmails to join, we Fortnite isn't a GPU limited game at medium and lower settings, though. 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. Home Assistant, Pihole, Samba, Unifi Controller, etc. Recently moved over from Blue Iris in a windows 10 VM to Frigate. New CPU usage 12. 265 with my GPU. my subreddits. 2 card on any hardware but currently it is only Frigate does use the GPU for processing the feed, but not for object detection. So you might be disappointed, because the GPU only be running at 60% load of your CPU isn't fast enough to push it higher. 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. So the "ai space" absolutely takes amd seriously. I also have VAAPI enable and there is GPU usage so it looks to be enabled, however there's still a ton of CPU usage on the test stream. Modern Intel CPUs have hardware decoding built in. Some types of hardware acceleration are detected and used automatically, but you may need to AMD GPUs With the rocm detector Frigate can take advantage of many discrete AMD GPUs. It uses a Coral TPU, iGPU, disabled birdseye, setup motion masks and 3 cameras still use 50-60% of my CPU. CPU would be used for inference, but a Google Coral device would be a lot better. 0, Production: - DG1 - Intel Core Processors with Gen9 GPU (Skylake) - Intel Core Processors with Gen9. Host HASS in a VM and Frigate in a LXC. yml file must be in the same location. 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. 4%. Oakridge labs built one of the largest deep learning super computers, all using amd gpus. app INFO : Capture process started for main_camera: 55 Traceback (most recent call last): I'm running frigate & wyze-bridge containers (and that is all it runs) in docker on a headless Debian 12 install in an older HP 500-054, which is MS-7778 (JasmineR) mobo with AMD A8-5500, 8G ram. I know that GPU cards are now supported with Frigate, Should I be considering going that route instead and dropping a GPU in as I have 1 x PCI Express 3. you can use your GPU for encoding/decoding tasks. 264 mp4 files that I want to transcode to h. -Coral TPUs seem to be losing the relevance they did when Frigate was 0. 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. 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 I am a bit of an AMD fanboy as it is more power efficient and creates less heat. 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 Same goes for 24. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. Rollback, and instead of spamming reddit OMG AMD DRiVEr issue, just keep playing. 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. 5ms average detection time!) detectors: ov: type: openvino device: AUTO. 2 slots (1xSATA and 1xPCIe). 1? Reply reply There's nothing special I'm aware of. I've been running Unraid on a Ryzen PRO 5 4650GE with ECC memory for about 6 months with Zero issues. YAML is user hostile and brutal to deal with, discovery is a nightmare. cpp even when both are GPU-only. I used the AUTO detector and it worked really well throughout 0. You can setup shared storage by running something like Open Media Vault in another LXC, and have that hooked up to I have a W680 based board running Proxmox. 00 GiB, 4%) I am trying to configure frigate GPU in Docker on Linux Mint 21. app INFO : Camera processor started for main_camera: 53 Process detector:coral: frigate. Object detection is handled by either an external processor (Coral) or the CPU. It has an Intel Celeron J4125, 8GB RAM and two M. I passthrough a 3060ti to a gaming VM and the UHD770 to an Ubuntu Docker host, then on again to Plex and Frigate containers. The default model in frigate for coral and nvidia are trained on the same COCO dataset which means they are likely going to have similar accuracy. While it's relatively running relatively A-OK with a single RTSP stream and takes around 10% of CPU resource on the host level. worked great on cp2077 but I also play bf2042 for which it didn't work so good. Also, graphics cards from AMD & Nvidia cost a fortune right now. When I Hi all, need a recommendation on a new GPU for my Unraid server. 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. Or check it out in the app stores Odyssey X86 Blue by Seeed Studios. 265)?. Frigate did work with qsv, but at 65% cpu and intel_gpu_top returned 0%. #=====# The goal of this community is to provide a wide variety of Frigate - adding GPU to config after using qsv Hello my fellow Unraiders. I just cant find and answer on how to to do that. I plan to use the Frigate docker for this and combine it with a Coral TPU for AI processing. Subscribe to never miss Radeon and AMD news. This portable system could take care of your gaming needs Hi, I want to use UnRAID to do some transcoding via docker (Plex, Frigate). Does it seem reasonable that i965 worked on version 10. Appreciate your So I've got an older AMD GPU that is running llama. 10-GPU acceleration is recommended and 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 . Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news The CPU & GPU are amazing for price as ArmV8. 0 Ghz with 3 640x480 @ 5 fps steams Support imgur. I now have two cameras, with the second camera previously using around 60% of the CPU for the ffmpeg process - it's now dropped to 9%. I got it working on a different System based on a Proxmox VM with an nVidia GPU. A Pi4 4GB can handle 4 camera feeds with 720p without object detection. 16 onwards. As I like it I always want to try new things and features. Hi, I have a NAS with AMD 3200G, running frigate in a docker container. Currently with everything I have running my CPU sits at 40C and 10% usage with the iGPU at The Radeon Subreddit - The best place for discussion about Radeon and AMD products. 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. If you have an AMD GPU you need to change the environment variables (I did it in my frigate Discussion on implementing AMD GPU detector with yolov8 models in the Frigate project. - I think the GPU could be useful for Frigate: I have five I'm hitting a wall currently with getting fritage to run on an AMD system. I there is no such thing as "only recording". 5 GPU (Kaby Lake, Coffee Lake) - Intel Core Processors with Gen11 GPU (Ice Lake) Can someone share an optimized config for Annke C800 (H. Following. The game has a number of processes that are multithreaded, including sound, physics, and the CPU renderer (which prepares data to send to the GPU), but the main game logic thread still is single-threaded and it's going to be some deep coder wizard The Radeon Subreddit - The best place for discussion about Radeon and AMD products. qdbkezujsceczwqkyiawdpygvctujwcbihiqrifbcawkkgabinnofnvizrurayxidatcuqgiwzo