Frigate amd gpu reddit. I have 2 cameras, with an intel NUC i3.

Frigate amd gpu reddit 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 tried BlueIris a few months ago and if i remember right it needed waaaay more resources than Frigate. I am only contemplating how much, which Nvidia GPU i am willing to buy that will last me good 5 years. Headless, no gui. , also Google coral PCI. AMD cards generally offer better RAW price to performance, though many seem to overlook features that Nvidia cards provide. Proxmox GPU passthrough for Jellyfin LXC with NVIDIA Graphics card (GTX1050 ti) Intel: https://discord. It was shortly after I did For support, visit the following Discord links: Intel: https://discord. 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. Frigate NVR is one that all I have to do is add to the device list /dev/apex_0 and then tell my config file to use it. Intel hardware acceleration is now working in plex but isn't working in frigate. The GPU section still shows error, but my understanding is it just cant poll Synology for stats, but it how to map frigate docker (w nvidia gpu) and HA VM 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. If you look at Blender 3D Benchmarks, every 3000 and 4000 series GPU beats the best AMD Card almost. Samsung g8 oled HGIG 400 mode with amd gpu? /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will Can I instead do everything with Scrypted? Do I need Frigate NVR if I use Home Kit (I have 2TB icloud subscription)? How is object detection in Scrypted? I have AMD cpu and no spare GPU (is assigned to a windows VM) so I need to use the existing Coral TPU: is this possible? I've a 2600x (95W TDP) CPU with Google Coral and no GPU. Both plex and frigate use ffmpeg for decoding streams. 264 and H. I'm planning to setup frigate on esxi, currently want to know which gpu I should use for frigate decoding, I have 7 x 4k cameras and also just ordered coral usb. Note: You also need to set LIBVA_DRIVER_NAME=radeonsi Can I use my 3090 RTX GPU in my pc for hardware acceleration in frigate? I can't get ubuntu to see my gpu so I'm guessing no. 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. ThinkPad Z16 Gen 1 AMD: 6850U, with a dGPU, waste of an integrated GPU, almost $2900 too ThinkPad Z16 Gen 2 AMD: 7840HS, again soldered 16GB RAM and 512GB SSD, also for almost $2900, worse ThinkPad T14 Gen 4 AMD: Now, performance is pretty much equal and the AMD drivers are much much better than Nvidia’s. This portable system could take care of your gaming needs for a year or so while you wait for 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. My server are running AMD Ryzen 5 5600G with Radeon Graphics. I have my Frigate installed on a standalone Debian server where Frigate are installed as a docker container using docker-compose to run it. 5 ip cameras, 4 1080p, 1 slightly higher res. Once you've done I'm trying to run Frigate in Docker/portainer/edge on a container in Proxmox 7. I have spun up debian 11 VM and installed Frigate on a windows host. Like any optimization effort first you need hard data about where the bottlenecks are. At this point, vainfo works and frigate works too. Unless you have a gpunto do the heavy lifting for frigate I suggest an Intel I have spun up debian 11 VM and installed Frigate on a windows host. Then we'll use "docker-compose up -d" at the Windows PowerShell command line in the directory the compose file is located to rebuild the container using the new compose that makes use of the GPU and TensorRT instance of Frigate. Gpus I have: Nvidia quadro t600 Nvidia quadro p400 Currently I'm using p400 for plex/emby but seems like t600 has better results. Fortnite isn't a GPU limited game at medium and lower settings, though. I'm running Frigate on an NUC i5 and like 10-15 more containers without Coral and I really can't complain. Sometimes I see people complain here on reddit about their new gpu while they run a rtx3070 with an intel i5 6400 or AMD athlon cpu Reply reply AMD also 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. 2 Coral EdgeTPU but in terms of getting the best performance for ffmpeg hardware acceleration, which CPU & GPU combination would be better? Intel Core i5-8259U w/ Intel Iris plus 655 GPU; AMD Ryzen 5 3550H w/ AMD Radeon Vega 8 Get the Reddit app Scan this QR code to download the app now. Silent, wall mounted, tiny. You can now run AI It is highly recommended to use a GPU for hardware acceleration in Frigate. 265)?. Valheim; Genshin Impact; 8GB RAM and two M. Im using arch linux and have an amd RX 6600 gpu. ISSUES 1 - I'm currently having issues with the use of the GPU, it seems to not have any load at all. You can buy a laptop with an AMD APU and play games at scaled down settings. Menu. Frigate needs to do video decoding to get the video frames, to "see" what's in the video. Get the Reddit app Scan this QR code to download the app now. However, AMD recently worked a whole bunch of DX11 and OpenGL optimizations into the driver starting with the 22. View community ranking In the Top 20% of largest communities on Reddit [Info] GPU TensorRT Info (When using WSL / Windows) Hello everyone. Reply reply More replies More I have looked all over the place and tried my time to get my amd HD4890 into Frigate. py and figured out what ffmpeg settings was under each preset. The best I am able to get is 512 x 512 before getting out of memory errors. This GPU does not have active cooling and is /huge/. There are several related discussions on github that I haven't finished consuming Intel Hardware Acceleration args n/w. /r/AMD is community run and does not represent AMD in any capacity unless Hi all, I'm not sure where to start troubleshooting because I'm really new to Frigate. ESP32 is a series of low cost, low power system on a chip microcontrollers with integrated Wi-Fi and dual-mode Bluetooth. Community Supported: Nvidia Jetson . So i was highly recommended to use Frigate for my NVR setup on the security system im planning to install on my new home. 1x range. On HA I use the Frigate Proxy and everything works great. If you search for "GPU pass through proxmox node unresponsive" there are a lot of posts that explain this, (not related to Frigate). 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 Go to frigate_nvr r/frigate_nvr • by seupadrasto. 12 there is expanded support for using the GPU to further optimize when used with ffmpeg presets https: Would frigate actually need to do any decoding or can I just feed it those 4 streams? Reply ive always used nvidia gpu's solely because I saw so many posts of driver issues with amd in the past. 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. Passmark score is 1789, 4 core/4 thread, 25W TDP. 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 Hi all, need a recommendation on a new GPU for my Unraid server. Frigate is running on HA in a proxmox VM on a intel i5 10400t (hp elitedesk). 0 supports OpenVINO for AI detection, which uses integrated GPU to do the computing. I've also got Frigate decoding with it at the same time in another container. Open comment sort options. (according to Synology), the Frigate system tab says 4%. 1) with at the moment 4 1080p cameras (will add one or two more later on). 0 x16 Slot (PCIE1: x16 mode) slot open as well. What are you thoughts on doing builder profiles for DIYers? and other ways to Frigate live stream on UNRAID 6. Performance For around the last decade, Nvidia has consistently has the highest performing GPU, meaning if you wanted the most performance, the most frames, you'd have to go Nvidia. 4, inside I have LXC container running Debian 12. I just don't use the GPU for video decoding. New The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other Running the latest frigate (0. 2 - AMD + GPU & Google coral Hi team, I have an AMD 3300x CPU & an old R9-390X for the GPU. Best. The stream url is now at full Resolution - same as set in +1 LXC sharing to multiple containers works fine on Intel iGPUs once the permissions are configured. GPU for HA/Frigate I'm new to HA but looking to do a server and trying to figure out the best way to combine my current/available hardware to maximize performance. While it's relatively running relatively A-OK with a single RTSP stream and takes around 10% of CPU resource on the host level. It does tax the GPU, which runs at 100% but within nominal temps (no overclocking). What are the drivers needed for AMD GPU PCIe cards in Unraid to loaded for frigate. The big ram hog is influxdb, but even then you’re fine with 8gb. The minimum driver version on the It is an AI accelerator (Think GPU but for AI). AMD has the radeontop tool which does this exact thing. Freely discuss news and rumors about Radeon Vega, Polaris, and GCN, as well as AMD Ryzen, FX/Bulldozer, Phenom, and more. HA Supervised has frigate integrated (as Docker). Check if your QNAP CPU supports OpenVINO, so that probably you do not need to buy a Coral TPU. The DX11 improvements were very welcome, and gave a healthy boost to performance. Which I just spent the past thirty minutes troubleshooting for, just to find out. Now this time its only A couple of weeks ago I bought a Lenovo Ideapad 3, it builds AMD Ryzen 5 5550U 6 core with AMD Radeon Graphics 16GB of RAM 2. It is highly recommended to use a GPU for hardware acceleration in Frigate. There is an old amd cpu in the system that I managed to pass it to the vm and I think its working fine. Has internal ports for my Coral TPU. 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. I was planning to use the new device also for 4K transcoding for PLEX, so I've found that the new Intel N100 works wonders for this purpose. (I noted the backwards and forwards compatibility because if you get like a PCIe 4 motherboard but a PCIe 3 GPU, those will still work. Frigate will always run the detect stream because that is used for things like motion detection and taking snapshots which is used for recording. gg/u8V7N5C, AMD: https://discord. According to the frigate dev they have 7+ streams running fine on the n100 with hw acceleration. I have an unused RTX 2070 that I thought would be good to combine with something like a Google Coral for running things like Frigate. So after reading, I'm actually able to access my tpu to my containers. Frigate is free and has not claimed to be feature complete, I can see why it wasn't a top priority given Frigate's primary This configuration reserves the specified GPU for the Frigate service, ensuring that it can leverage the GPU for processing. Currently my Frigate install is living on a NAS w/ an overpowered Intel i5. g. Top. Some types of hardware acceleration are detected and used automatically, but you may need to update your configuration to enable hardware accelerated the workload of frigate includes a lot more including decoding a video stream into individual frames, potentially resizing frames, motion detection, etc. The GPU load is definitely per-camera and of course depends on the cameras resolution, frame rate, etc. Subscribe to never miss Radeon and AMD news. I was AMD fan for years until I had a AMD GPU(RX 5700XT) which after about 2 years began crashing every hour on top of being unable to return it. 2. Appreciate your GPU Showdown - AMD vs NVIDIA questions Discussion Before I begin, I want to touch on these 6 cards only: RX 6950XT : 754 EUR RX 7900XT : 780 EUR RX 7900XTX : 990 EUR RTX 4070Ti : 755 EUR absolutely asinine to have the 6950 above the 4080. I like frigate and think it's the best one, but it seems like a ridiculous oversight. Only CPU is being used which is really slow even for 2-minute video. Frigate - adding GPU to config after using qsv Hello my fellow Unraiders. 0rc3 >=Gen10 Hardware 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 choose AMD option in the rendering dialog, it says: Unsupported video codec: h264_vaapi. com Open. However, on the GPU tab, it says Intel® HD Graphics. When I try to view the re-encoded rtmp stream it is only I have Lenovo TS140 running ESXi and I have a guest OS where my frigate docker instance is running on with Coral USB passthrough. After a video frame is decoded, Frigate can perform object detection. It's mainly because my CPU is an AMD Epyc and the overall power consumption is lower using the CPU. I have added the input and put args listed in the Frigate documentation and my camera is properly detecting and recording files. Also, graphics cards from AMD & Nvidia cost a fortune right now. GPU . I use the computer only for HA and devices connected are a Z-wave stick and MOD-BUS connector to control a heath pump. 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 I plan to use the Frigate docker for this and combine it with a Coral TPU for AI processing. 68, 1. Members Supported platforms - OpenCL 3. So it was a contention issue with all the devices. It's also likely why Microsoft has invested heavily in AMD and OpenAI. in the config. 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. YAML is user hostile and brutal to deal with, discovery is a nightmare. So since I have some cameras I could see a lot of people using Frigate and saying how awesome it is. I then installed intel-gpu-tools and verified gpu is Hello, would appreciate some help getting AMD GPU hardware acceleration working on Frigate (docker container). So, I've placed a backorder for a Coral and now I'm trying to configure Frigate before the Coral arrive. Is video decoding really needed? I mean, I am about to set up 32 cams and I was considerind buying a GPU for video decoding but I was wondering if this is actually needed, I'm gonna run it with home assistent inside proxmox, I got an epyc 7751p. Availability For as long as I can remember, there's been more Nvidia cards available at any time then AMD cards, except the Polaris generation (RX480, RX580). While AMD hasn't been perfect it been a better experience than the big green pile of junk. 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've got 2 * Thanks very much for the info. I kinda wish I had an AMD GPU to test it out. When I export a video, it just doesn't use it. 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. 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) Get the Reddit app Scan this QR code to download the app now. gg/EfCYAJW Do not send modmails to join, we will not accept them. Gaming 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 yeahme fork of frigate is pretty out of date now. 14GHz. I've never seen a reproducible NVidia driver crash in Unreal, but I know at least two scenarios that crash AMD drivers: When using Nanite with static lighting without virtual lightmaps When using VHM with non-virtual textures There are probably more cases, but, again, I'd never use an AMD GPU for work. The above process from top shows a constant 35% usage. Once Frigate starts, you'll want to update your config. And for ML, again, AMD is full on useless. 0 or greater, and by looking at this GPU Compute Capability, the 920M is 3. Been trying to configure it to use the gpu but so far no success. /r/AMD is community run and does not represent AMD in any capacity unless Yes, having an AMD graphics card is not currently officially supported on Stable Diffusion. YOLOv3 models, including the variants with Spatial Pyramid Pooling (SPP) and Tiny versions, offer a good balance between speed and accuracy. I was thinking that I would be using that unit also for processing and the NAS connected via USB 3. im wondering its better now. Video decoding can be done in CPU in software, accelerated by CPU's iGPU, or accelerated by a discrete GPU. Reflex, DLSS, frame gen, and raytraving perform generally better than the alternatives that AMD provides. 8. I used an external USB3 2 TB HD for recording storage and mapped it to frigate/media with the uuid. Theoretically, the integrated graphics are radeon hd7560 lspci -nn | grep -i vga 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. Members Online. 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. /r/AMD is community run and does not represent AMD in any capacity unless specified. Be the first to comment The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming Has anyone got any experience as to how much capacity Frigate will use on my CPU and is it even worth passing the GPU to the Frigate container? Thanks in advance, sorry if I rambled a bit :) Share Sort by: Best. Load averages hover at 1. I really love Frigate combined with it's Home Assistant capabilities. Or check it out in the app stores     TOPICS. I don't really see it as an oversight, it has already committed to being implemented. ? How to tell the drivers have loaded? what command. Previous to Frigate, load averages were in the 0. iGPU is dedicated for HomeAssistant in Proxmox, and camera is H. Reddit is an echo chamber though, so pro AMD bias is a I have a dell optiplex with i5-7500 running frigate. 265 with my GPU. They are not doing this for FSR. It's not like they've said it won't be done. 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. 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 AMD and Intel chips, including OpenVINO tests. I just cant find and answer on how to to do that. 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. Some types of hardware acceleration are detected and used automatically, but you may need to update your Gotcha, yea i think most people recommend NOT running frigate inside of HA OS. 2-3. 14-beta 2. Way back in the day you could have a Intel CPU, a Nvidia chip on the motherboard(for the south bridge), then a AMD GPU. I have trimmed frigate a little (motion masks etc) so the cpu load is around 5-10% with a peak at 15%. It will make use of the Jetson's hardware media engine when configured with the appropriate presets, and will make use of the Jetson's GPU and DLA for object detection when configured with the TensorRT detector. 40GHz (4 cores). I'd like to move Frigate to a dedicated Debian server on a mini PC. I have HA in a VM on Proxmox on a completely different system I have Frigate running in a docker container. So all you need is a motherboard that has a PCIe slot for the GPU. Read documentation and Depending on the number of cameras and the resolution, that’s probably enough umph to push your entire HA stack along with frigate. 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%. Under rtsp-restream you see there is no setting for the timestamp ] you definitely want to use #hardware so the GPU is used, Cvalin21 • True, I have an AMD 5500XT that is helping out. I am overwhelmed by all the functions and options of ffmpeg. 264 mp4 files that I want to transcode to h. My goal was to get away from commercial crappy setups and use more AI based setup running on my unRaid server. edgetpu INFO : No EdgeTPU detected. I am not running Frigate today. Regardless of whether you go Intel, AMD, or NVIDIA board partner matters, for AMD XFX has treated me well and I keep hearing Sapphire is the best of AMD. I am having issues with RTMP stream being reencoded from a MJPEG camera. Back then AMD was the budget king which may have contributed to the 'nvidia superior' concept but nonetheless were good buys. I've had Intel chips with nvidia and amd card and amd cpu with nvidia card and amd hands down amd on amd and yes there are several benefits to using amd on amd smart access memory a bunch of other stuff what works for some might not work for all if your curious just go for it I've had problems here and there nothing ever major but since I've gone amd on amd it's been butter Frigate does not run entirely on the GPU, many operations are still done on the CPU like feeding the detector with the image, motion detection, and many many other things. And if it is an AMD issue, I'd hunt down similar issues in Windows rather than Linux, since WSL doesn't really interface directly with the hardware in either configuration (arguably WSL2 does a little due to VM extensions, but accelerated VMs are still typically unlikely to crash the host due to sandboxing) YOLOv3 and YOLOv4 models: These are part of the earlier YOLO versions. Another thing, NVIDIA limits these GPUs to 3 NVENC sessions, I can't get AMD Well, exllama is 2X faster than llama. It was hard to find anything that confirmed this. I have some h. cpp even when both are GPU-only. It works beautifully (3. Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. 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. View community ranking In the Top 20% of largest communities on Reddit. This summer I have paid scalpers on eBay 2x & 3x list price for cards. 37. It's one of those things you kind of let the PC play with itself, it's dictated by your GPU drivers and if each software hooks into the GPU or OS, Chrome has hardware acceleration, so it talks to the GPU, even when in the background on your desktop. When I moved to beta 3 Frigate doesn't load anymore. ) and sit around 25% CPU usage running 4x 720p detect But now I have installed 3 cameras and moving to frigate. If anything, they would likely try to go for 3nm to incorporate AI chips like Nvidia The Frigate docs don't really explain the meaning of the URL. 0 Ghz with 3 640x480 @ 5 fps steams Support imgur. Do I have to install anything else to make it work? Any suggestions for AMD AMD-powered low-power system for under USD 200 for HAOS + frigate for 4 cameras. reddit's community for DIY Pedal Builders! Members Online. 2 to the device for storing the recordings Is my CPU Usage normal for Frigate? AMD quad core 2. 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. Here's a thread that may help you: Ive been running Frigate successfully with my i5 12400 gpu passed through for a while, but I want to pass through the GPU to a VM as well so I'm using the sr-iov driver for virtualization, it's working fine in the VM but I can't get Frigate to recognize it no matter how I set it up. In frigate I noticed that GPU is using memory but not seeing Hoping someone has some insight into CPU recommendations. Inference speed will Hi, I'm running Frigate on Home Assistant on a Gigabyte BRIX with Intel Celeron J4105. 12. One option is an HP T620+ w/ an AMD GX-420CA SOC. Gaming. Im also going to build a new pc in the next weeks. I was able to get my hands on a Coral and all seems to be working fine, but after changing my configs I saw a different pattern in my CPU usage. Sure, AMD could still release an high-end flagship GPU, like a 6950 XT, or 7900XTX, but I have high doubts tbh, just dont see it based on information we already got laid out. Docker Run CLI Configuration. New comments cannot be posted. Frigate runs with a heavy priority of being 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. Frigate takes very little cpu load for normal ops, and with a Coral tpu, you won’t notice any load from object detection. 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. However, inference times with the default model were around 130ms (which is not really that bad, however not great). I've downloaded some games at moment and I'm happy with my gaming experience, everything works great. The computer is running (it's dark outside so maybe less motion detected for processing) at about 12-17% load with 3GB RAM used. The 3080ti beats it at 4k and the base 3090 beats it at 1440/4k. New comments cannot be posted and votes cannot be cast. I'm using the GPU as well. Open comment sort options I can't get AMD GPU undervolting working with CoreCtrl A reddit dedicated to the profession of Computer System Administration. 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. NVIDIA GPU for Plex and frigate 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? comments sorted by Best Top New Controversial Q&A Add a Comment. 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. Discussion on implementing AMD GPU detector with yolov8 models in the Frigate project. The AMD drivers are also FOSS, whereas Nvidia is still mostly closed (I had heard something about Nvidia open source driver work but it didn’t seem too important/different than what was already there). Reply reply more reply More replies More replies These presets not only replace the longer args, but they also give Frigate hints of what hardware is available and allows Frigate to make other optimizations using the GPU such as when encoding the birdseye restream or when scaling a stream that has a size different than the native stream size. blakeblackshear commented Jun 2, 2021. I am using the frigate hassio addon running HA on a AMD computer with vega graphics. If you can track this down, we can definitely add it to frigate. I have read the section in the doc "AMD/ATI GPUs (Radeon HD 2000 and newer GPUs) via libva-mesa-driver VAAPI supports automatic profile selection so it will work automatically with both H. Share Add a Comment. As you already know, AMD wont compete with Nvidias high-end 5000 blackwell series. these are all workloads done on the CPU or GPU, the Pis hardware acceleration is not very capable relative to a device with an intel or amd iGPU which uses qsv or vaapi As I like it I always want to try new things and features. Home Assistant is migrating away from YAML, I hope frigate does too. I have added the input and put args listed Not got an AMD solution that fits your lower power, low cost and effectively run frigate for 4 cams. If you are on frigate 0. head over to r/frigate_nvr. . Locked post. My n100 is 100% utilization on 2 cores with the single test stream. Ubuntu 21. However nowadays we can look at say the 6700XT which AMD raised the price of placing it very close to the RTX 3070. Just the Reolink NVR and would like some added functionality between Frigate and Home Assistant. with Ingress support like the regular Frigate Addon (note I am 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). Any GPU that supports modern vaaapi or honestly even just I am using the frigate hassio addon running HA on a AMD computer with vega graphics. My 4th gen i5 hovers around 25% running my fairly heavy HA stack, including 8x 1080p cameras on frigate. Apparently there is a different fork that allows the usage of an AMD card, so try that out if you want. I run Frigate in addition to 9 other docker containers (e. I am running 2 cameras one at 1080p and the other one at 720p (both for detection). For the storage side of things, should i run a separate pool for the video data? No no, the TPU is still used. I haven't had to do anything else or use a tpu vm. Logs look normal, no errors. Frigate did work with qsv, but at 65% cpu and intel_gpu_top returned 0%. 1 release. 8 gig ram. 9. Image generation takes about 2 minutes I'm using openvino on AMD Ryzen 7 with integrated Radeon GPU. I did some research and i think you could go for AMD but if you want to build a more high end ish PC you are better of with Nvidia for the GPU. in an LXC with a P600, and I think it's pretty good. You need to start by optimizing your frigate setup. 0, Production: - DG1 - Intel Core Processors with Gen9 GPU (Skylake) - Intel Core Processors with Gen9. DX11 performance on AMD has not been ideal, but it's also never been terrible. The ESP32 series employs either a Tensilica Xtensa LX6, Xtensa LX7 or a RiscV processor, and both dual-core and single-core variations are available. I recently decided to just install Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. edgetpu INFO : Attempting to load TPU as usb frigate. 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. yml file must be in the same location. Current-gen AMD gpu's aren't bad, their pricing just isn't great compared to previous generations. The Radeon Subreddit - The best place for discussion about Radeon and AMD products. That kinda ONLY applies to gaming. So I've been digging through Reddit & various Github issues to try and find a resolution, but it seems that no matter my config, FFMPEG is chewing up the CPU and not using the hardware acceleration on my DS720+. frigate is a docker app, it can run on multiple different underlaying OSes. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). yml/detectors section per the documentation. Once you have frigate optimized, then worry about making tweaks to HA. Welcome to Reddit's own amateur (ham) radio club. Server is on a mini pc (debian 11) with an Intel i5-7500 @ 3. Valheim; Genshin Impact; Minecraft; Frigate version 0. 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. Actually I have managed to get hardware acceleration running, but for some reason it is using 'intel HD' graphics insted of AMD GPU. I recently went to Frigate Preset. The Frigate docker image used GPU pass-through, and it worked correctly via WSL. I would like to have them in the same quality and resolution or just untouched settings, when they get transcoded. This is one reason, and the other is you cant separate the Frigate storage from the VM storage, so your VM disk grows with your Frigate storage (as a single file). Frigate sends a snapshot to your mqtt broker for every event. I have 2 cameras, with an intel NUC i3. Problem: They are very hard to get. Main uses I would say gaming smoothly and being able to open up other tabs on a second monitor for guides and background noise. The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. 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. Look at the jellyfin dockerfiles. Copy link Owner. I am running Proxmox 8. Just hovering about 15% cpu utilization, and 3% ram utilization. frigate. If you are wondering what Amateur Radio is about, it's basically a two way radio service where licensed operators throughout the world experiment and communicate with each other on frequencies reserved for license holders. in the Hi, I have a NAS with AMD 3200G, running frigate in a docker container. I guess the /dev/ needs to point to the driver on the windows host. 1? 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. I am trying to use Kdenlive on my Windows 10 laptop that has AMD GPU R5 M330, 2 GB. 2 slots (1xSATA and 1xPCIe). I'm running Frigate as a Docker within unRAID with all other Dockers/VM's stopped. The monitor I would work around what best performs with said best graphics card. Home Assistant, Pihole, Samba, Unifi Controller, etc. 265 streams. It is an ITX system so I don't have much option to use a GPU as the single PCIe slot is already taken TensorRT - Nvidia GPU The TensortRT detector is able to run on x86 hosts that have an Nvidia GPU which supports the 12. yml I have used: ffmpeg: hwaccel_args: - -hwaccel - vaapi - -hwaccel_device - /dev/dri/renderD128 but it’s still using the cpu. 5ms average detection time!) detectors: ov: type: openvino device: AUTO. Home. Any Welcome to /r/AMD — the subreddit for all things AMD; come talk about Ryzen, Radeon, Zen4, RDNA3, EPYC, Threadripper, rumors, reviews, news and more. 0. 265 and Frigate decode it on the fly, but it seems it uses only 24-25% GPU and way too much CPU. Or would AMD be better for more raw cores/threads but no hardware encoding? How about hardware h265 decode? Which would be better for frigate? Share Sort by: In frigate 0. They are not expensive 25-60 USD but their seam to be always out of stock. Ah I see, you mean holistically. My hardware: AMD Ryzen 7 3750H with Radeon Vega Mobile Gfx Google Coral USB 4 Amcrest cameras 1920x1080 Unfortunately my frigate container didn't see the same benefit. Share Sort by: Best. app INFO : Capture process started for main_camera: 55 Traceback (most recent call last): 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 . Maybe stop posting german on a international Reddit it is super rude. 32, 1. I’m running an older HP 630 thin client with a 4 core AMD chip, 8 gigs of ram, and Proxmox as the base OS. I would recommend you run frigate as a bare metal app, than try to run it as a vm, especially if you want to run a coral TPU. So long story short, the GPU is on the same PCIE bus as the other PCIE devices, like the ssd. Members Online Fully working Ventura on AMD igpu platform 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. After looking at countless AMD forums/reddit threads of people complaining about theirs 7900XTX crashing and other issues bought 4080 Super and been a happy boy every since. There is a reason why AMD is cheaper. If you only have a single system, your best option might be Proxmox to host the guest HAOS in a VM, but at the host OS set up the docker container for Frigate. When detection is on the cpu usage and temperature go way up. View community ranking In the Top 5% of largest communities on Reddit. It uses a Coral TPU, iGPU, disabled birdseye, setup motion masks and 3 cameras still use 50-60% of my CPU. If you prefer using the Docker CLI, you can run the Frigate container with GPU support using the following command: Common options include Intel integrated graphics, NVIDIA GPUs, and AMD GPUs. Originally, I purchased an NVidia Tesla K80 GPU for cheap on eBay. facial recognition? I've looked around google and reddit but I didn't find a lot of info about this specific use case. It has an amd 4100 gpu. I once had a 2TB HA OS vdisk before I moved Frigate outside of my HA VM to its own docker container. I have added hwaccel parameters to ffmpeg in the frigate config and added there is no such thing as "only recording". Recently moved over from Blue Iris in a windows 10 VM to Frigate. 04, glances, frigate, docker, portainer. chris84bond Passing an AMD GPU Frigate's only option is docker and I do enjoy using it. Thanks, looking forward to your thoughts. Frigate supports all Jetson boards, from the inexpensive Jetson Nano to the powerful Jetson Orin AGX. What would be the recommendation for GPU that's cost effective if I'm planning to have perhaps around 5 streams? Can someone share an optimized config for Annke C800 (H. The last time I tried this it was taking up 59 to 64% of my cpu resource. I used the AUTO detector and it worked really well throughout 0. 5 GPU (Kaby Lake, Coffee Lake) - Intel Core Processors with Gen11 GPU (Ice Lake) Blake also recently released a Frigate Proxy addon for Home Assistant - this allows you to run Frigate on a separate server but integrate the clip browser interface/etc. I had nothing but problems, mostly software and drivers, with my previous (ASUS) Nvidia card. 7. AMD usually has been the better option for price to performance computing. There are too many variables for the frigate site to be able to provide this info for each CPU/GPU but you can look for sites that show benchmarks for the GPU and how many simultaneous decode streams it can handle and extrapolate from there. 0 x 16 speeds i think that will be perfectly fine for my 6700XT 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 paulmorabito changed the title AMD Renior GPU VAAPI Decoding AMD Renoir GPU VAAPI Decoding Jun 2, 2021. You can forward this snapshot on to your phone even if frigate is running on a different host, you just need to reference the snapshot object that's attached to the mqtt event. x series of CUDA libraries. app INFO : Camera processor started for main_camera: 53 Process detector:coral: frigate. I second the comment that frigate doesn't need a lot of resources, just the right ones. Each has Clearly it was something to do with Frigate and container, not my node. Under environment: I've added LIBVA_DRIVER_NAME: i965 Then I have a Debian VM that hosts Home assistant Supervised. Archived post. I’m planning on swapping over my M. I personally think about a 4xxx series. I beg of the maintainers to think about UI config instead of YAML. 1 and doesn't on version 11. Does it seem reasonable that i965 worked on version 10. 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. rndkv vxkrgl cydv xyyp dlwck mitnp mjowrw dru nghyt svuut