Frigate openvino vs openvino reddit AI FOR ALL! MUHAHAH For Frigate to run at a reasonable rate you really needed a Coral TPU. Dec 22, 2024 · Good Morning All, Hopegfully I put this in the correct place. Given this, someone recommended optimizing the CPU performance using OpenVINO to decrease the response time. Is there a time limit that it can transcribe for? I performed an OpenVINO AI music separation on some versions I was able to find online, and this was the best separation I was able to achieve… I have 4 cameras that I am using Frigate for 24/7 recording for, but 1 of them is not having sound work in the recording. SillyTavern for text chat. The workload parameters affect the performance results of the different models we use for benchmarking. A supported Intel platform is required to use the GPU device with OpenVINO. I've looked through countless guides but to no avail. Says it should work with amd also. The WebUI is working normal but OpenVino… We would like to show you a description here but the site won’t allow us. The two OpenVINO cases were hilariously bad. I have it as a backup on a small mini pc i3 7th gen. Mar 30, 2024 · Looks like frigate uses outdated openvino 2022. Offloading TensorFlow to a detector is an order of magnitude faster and will reduce your CPU load dramatically. The reason I have this convoluted setup is because HA won't let Frigate attach to my NFS share on my NAS where all the video is being saved outside of proxmox. SUB 10ms detections with great accuracy so far. Apr 10, 2025 · However, in Frigate, Coral Mini PCIe generally offers better power efficiency and potentially faster inference speeds compared to OpenVINO, especially when dealing with high-motion scenes. It does not detect any hardware acceleration. ) N100 dual NICs mini PC with openVINO - 256NVMe 16GB RAM (180 USD approx. Frontend and Recorder runs reliably and quickly. You are welcome to post feedback, questions and cool AI apps that use OpenVINO! OpenVINO CPU: 6. 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. Currently it is tested on Windows only, by default it is disabled. 4K subscribers in the frigate_nvr community. I have not followed up since that and want to ask the the audience if there are better alternatives at this moment. I haven’t noticed any CPU major impact, but I am running only 4 720p cameras. In the previous Automatic1111 OpenVINO works with GPU, but here it only uses the CPU. Windows 11 Python 3. That is incorrect, frigate has always supported using custom models. Most modest setups I've seen obtain inference speeds as low as ~10ms using OpenVino on a 7-8th gen iGPU vs ~7ms using a TPU. I have Lenovo TS140 running ESXi and I have a guest OS where my frigate docker instance is running on with Coral USB passthrough. 3. I'm going to be moving shortly and would like to set up a new HA instance on new hardware, with a focus on Frigate. I'm trying to use the openVINO Whisper AI function to transcribe a few interviews I am doing. We have found 50% speed improvement using OpenVINO. The N100 is like a RPi on steroids but if you outgrow that you can just drop in a gaming rig chip with no software difference. OpenVino: OpenVino can run on Intel Arc GPUs, Intel integrated GPUs, and Intel CPUs to provide efficient object detection. Not sure if in 2024 coral USB for example is worth, or maybe I could opt for a better alternative (or even full detection over CPU with the N100 and OpenVino straight (although it could be affected by the PLEX workload, so maybe I would rather keep it away). I do not mind buying new equipment, my goal here is mostly for ease of configuration. 4 (using a custom version with Frigate 0. I'd like to share the result of inference using Optimum Intel library with Starling-LM-7B Chat model quantized to int4 (NNCF) on iGPU Intel UHD Graphics 770 (i5 12600) with OpenVINO library. Running AI on CPU without acceleration is both power inefficient and much slower. They are not expensive 25-60 USD but their seam to be always out of stock. 35 tok/s Compared to Ollama when using this repo all my firefox tabs have crashed (except for the Gradio UI) so maybe it's just because the inference library manages to use more hardware resources. Then some stuff from openvino: I have been trying to install OpenVINO into Stable Diffusion WebUI, but it isn't quite working right. I've been closely following your discussion on integrating Frigate with OpenVINO. 5 Can i run frigate with simple motion detection without coral in old hardware? Hi, i currently have 4 ip camera connected to dahua NVR and because the camera is not dahua, rather a cheap ones (interluc edge), motion detection doesn't work and i have to keep recording 24/7. It's really impressive, and your detailed configuration share is highly beneficial Viseron is a self-hosted NVR deployed via Docker, which utilizes machine learning to detect objects and start recordings. I don't use Frigate myself so I can only speak for Viseron, but Viseron provides more options for different object detectors as well as face recognition for instance. A true power-user LLM frontend, so I always use the same interface, no matter which backend I need (e. There are a few things specific for Reolink cameras, but the layout should help. 15. 42 tok/s Ollama CPU, openchat Q8: 3. The chatbot currently takes approximately 130 seconds to generate a response using the retrieval QA chain on a quad-core CPU with 16GB of RAM. IPEX or Intel Pytorch EXtension is a translation layer for Pytorch(SD uses this) which allows the ARC GPU to basicly work like a nVidia RTX GPU while OpenVINO is more like a transcoder than anything else. 34 tok/s OpenVINO GPU: 9. Reddit's most popular camera brand-specific subreddit! We are an unofficial community of users of the Sony Alpha brand and related gear: Sony E Mount, Sony A Mount, legacy Minolta cameras, RX cameras, lenses, flashes, photoshare, and discussion. The considered options are: Raspberry Pi 5 + NVMe hat + coral + 256 SSD (80 + 20 + 25 + 20 = 145 USD approx. With OpenVINO 2024. You can now run AI acceleration on OpenVINO and Tensor aka Intel CPUs 6th gen or newer or Hey all, quick question -- I have been using OpenVINO for detection for a while now and was wondering if switching to a Coral would benefit me at all? Frigate is running as an HAOS add-on, on ESXi, with the iGPU of an i7 8700 passed through to it. Graphics support didn't require anything special, and OpenVino yolonas inference is down to 15-30ms, but most impressively, CPU and GPU utilization mostly remain in the single digits, rather than jumping to the red and generating warnings frequently with the EQ14. ) and planning to buy a small NUC with Intel N100, 16GB RAM to put a frigate and HA there. Get the Reddit app there's no copy of the OpenVino model for detection in my HaOs files. Intel today released OpenVINO 2024. 12. 8. May 2, 2025 · Using an OpenVINO detector can significantly enhance the performance of your object detection tasks. Here's my Frigate config. I have a Coral USB hooked up and was trying to get Openvino setup as well as for detection. OV Python summary We would like to show you a description here but the site won’t allow us. With OpenVino CPU on LXC with 4 virtual cores CPU usage (looking from Proxmox) is generally around 12-13% with recurring spikes up to 40%. Mar 9, 2024 · Technically it is not that many because frigate will often run detection multiple times on the same frame. Reolink Doorbell: 10. Transparency is a key value for building sustainable, ethical, profitable businesses, and is an important tool for small companies. one 2. Please note that InsightFace python use ONNX-Runtime (ORT), there is a way to run the OpenVINO model with ORT. As of 0. OpenVINO is designed to optimize deep learning inference, making it a powerful tool for enhancing the performance of video analysis tasks in Frigate. The docs touch on this topic at a high level, but I've not been able to understand the steps to walk through successfully getting Yolov8 detecting things on my working Frigate install. The goal of the The OpenVino Project is to create the world’s first open-source, transparent winery, and wine-backed cryptocurrency by exposing Costaflores’ technical and business practices to the world. The N100 may not be powerful enough. While Frigate ships with a OpenVINO-compatible SSDlite model for object detection and this is a great compromise between speed and accuracy, I wanted to dive a bit deeper and use YOLO-NAS, a model that should offer higher accuracy for smaller objects. And I run 2 cameras via frigate with no google coral card and it still only maxes out at 85% CPU when I'm running them both (I only turn the second one on when I'm leaving my dog home alone) most of the time it hovers around 50-60% with about 35+ ZigBee devices a bunch of other wifi devices (probably 10 BTW Frigate now supports OpenVINO to run detection directly using Intel HW acceleration on 6th gen and up. Also, v0. 02, with hardware acceleration and object decoding (Openvino) by the iGPU UHD 630. I think it's quite good 16 tk/s with CPU load 25-30%. Posted by u/my_name_is_ross - 1 vote and no comments TLDR- anyone have a step by step guide to get Yolov8+ OpenVino working on Frigate? I'm looking to try out some different models on OpenVino- specifically YoloV8. koboldcpp or oobabooga's text-generation-webui or even ChatGPT/GPT-4). 0 will support OpenVINO for object inference, which means you do NOT necessarily need to buy a Coral if your system has a 6th generation or newer Intel CPU with an integrated GPU. Ah I see, you mean holistically. 0 was just released which features a lot of improvements, including a fresh new frontend interface I have an 11th gen i3 NUC which even as an i3 I feel is WAAY over powered for my HA setup. Updates on latest features on OpenVINO Toolkit, best framework to deploy Deep Learning models, including LLMs, Diffusers, Computer Vision, Audio processing and many more. That's the middle ground between running a detector straight on the CPU and using a Coral detector. For reference I have a Lenovo i5 6400T 8Gb running Openvino with 3 x 6MP cameras. Lorsque j'ajoute openvino à la configuration de la frégate, cela semble provoquer le crash et l'arrêt de l'addon Frigate. Back 2-3 years ago Frigate with Coral stick was considered as a best option. These models offer higher accuracy with less resources. Dec 30, 2024 · Just following up to say that the EQi12 has been so so so much better for frigate (and in general) than the EQ14. Luckily, the (relatively) new OpenVINO detecter has been working great on the iGPU on my Intel i5-6600. Mar 9, 2024 · With frigate, openvino and 4 cameras at 720p 5fps for object detection plus uhd recording the system only uses 4W more. I never used Blue Iris, so can't compare. Soon enough frigate will be subscription based if you want a half decent object detection. I'm new to Frigate and just set it up as an addon on a N100 mini PC running HAOS. Just wondering if there are better NVR packages than Frigate, since getting hands on a Coral seems to be a bit of a problem, and that was the main reason I was going to go with Frigate in the first place, for the AI object detection. My inference went from 15ms to 9. I have the openvino fork of Stable Diffusion currently. You may not need extra hardware. Honestly, I wasn't expecting it to work as well as it has so far. Posted by u/squash__fs - 2 votes and 1 comment May 22, 2023 · Hi William thanks for the exploratory work and inspiration ! I finally managed to get frigate running on an HP 800 G4 with intel i5 8500T and UHD 630 (8th generation), on eSXI/VMWARE 8. But I like Frigate being Linux based and can run as a docker. While it's relatively running relatively A-OK with a single RTSP stream and takes around 10% of CPU resource on the host level. 1. I'm on an HP ELitedesk 800 mini i got on Ebay for $125. 2 Coral (standard Frigate Coral setup) with a i5-7500 and averages 8ms: Different models on the same hardware change the inference speed, The built in Frigate OpenVino SSDLite MobileNet model I get average 12ms: The main difference is how IPEX works vs how OpenVINO works. Dec 25, 2023 · It is interesting how your RPi4 USB Coral is 17ms, At the moment I have a M. openvino works fine though, I saw an openvino tutorial for automatic 1111 with intel arc graphics Feb 7, 2024 · this post on REDDIT. While doing some research I found a post on GitHub where it is possible to download some code to enable acceleration via OpenVINO in FaceFusion-Pinokio. 12, Frigate supports a handful of different detector types with varying inference speeds and performance. Frigate Config: thanks :) In Frigate 0. When you say accelerate, do you mean accelerate inference or accelerate the deployment: which means the time between experiment and end user product. The GPU load is definitely per-camera and of course depends on the cameras resolution, frame rate, etc. Look into OpenVINO. The other 3 are Eufy I'm trying to use the openVINO Whisper AI function to transcribe a few interviews I am doing. ) If you haven't purchased a Coral TPU yet, I'd hold off for now and at least try using the iGPU and OpenVino detector. However, reading the posts, I see that frigate is quite resource intensive and I am not sure if frigate will run well on such hardware. I would like to take advantage of the NPU to accelerate Facefusion, so I should configure FaceFusion to use OpenVINO. Setting Up OpenVINO. It looks like what I need but there is a catch no OpenVino (intel CPUs AI accelerator) support. Under "detectors:" I have an openvino entry to use my onboard GPU I have an "objects: track:" with a few entries like person, cat, dog. This fine tuning process results in a model that is Jun 20, 2014 · No harm is trying out frigate - you don't need a coral using the openvino which works very well even on old gen intels. It is an AI accelerator (Think GPU but for AI). I know that Intel OpenVino only officially supports Intel chips, but I am curious if it would still work on AMD Ryzen 9? I tried it on M1 chip and I know for sure it does not work on it, but now I am wondering about AMD processors. 5gbit dedicated for nfs, another 2. 5 for docker services and a 1 gbit for management. La capacité qu'il offre est phénoménale et j'essaie de la configurer correctement. I'm running the newest Frigate . g. I really like my low power NVR setup and would like keep it that way. 1). I am new HA and Frigate and I would like to achive the following: Install frigate from HACS Use openvino in frigate as a detector Human, & Cat detection for 8 dahua cameras (Human required, cat is a bonus) Car detection on 1 of the 8 cameras Add coaral tpu down the line No recording of video just a still image & notification when What is the diffrence between OpenVINO and Intel's One API for AI analytics? do I need both and also OneAPI base? How different is performance of openVINO for intel CPU+integrated GPU vs a NVIDIA Laptop grade GPU like the MX350? Thanks in advance :) We would like to show you a description here but the site won’t allow us. Is there any reason to use the original CPU detector over th What is the diffrence between OpenVINO and Intel's One API for AI analytics? do I need both and also OneAPI base? How different is performance of openVINO for intel CPU+integrated GPU vs a NVIDIA Laptop grade GPU like the MX350? Thanks in advance :) I'm just starting with all this (first time frigate, ha etc. They all have nearly the same instructions, and in the end I'm supposed to have the "accelerate with openvino" option under the "script" box in the WebUI ( as seen here). 2, the newest version of its open-source AI toolkit for optimizing and deploying deep learning (A) inference models across a range of AI frameworks and broad hardware types. This is my configuration so far: Home Assistant: 10. I also tried run the job on CUDA and change to OpenVINO for the actual searching. Running Frigate in a VM on top of Proxmox, ESXi, Virtualbox, etc. I have a MinisForum UM790 pro (Ryzen 7945HS) mini pc, which has Radeon 780M gpu. 14. 10. * Dialog / Dialogue Editing * ADR * Sound Effects / SFX * Foley * Ambience / Backgrounds * Music for picture / Soundtracks / Score * Sound Design * Re-Recording / Mix * Layback * and more Audio-Post Audio Post Editors Sync Sound Pro Tools ProTools De-Noise DeNoise We would like to show you a description here but the site won’t allow us. CPU is continuously at approx. I have it set to use both cpu or gpu, and auto or default for everything else as I was not sure what settings were better, and my googling was unable to really find any recommended settings. 04 along with using OpenVino for detection. If you were to do more than two cameras though, definitely consider going with the i5 options primarily with the intention of "room to grow". I used the AUTO detector and it worked really well throughout 0. FOUR. Nvidia We would like to show you a description here but the site won’t allow us. Prompted by the comment I actually saw a reply by Frigate's Nick on a GitHub discussion saying that he'd go for the OpenVINO setup with an N100 over a Pi with Coral but I truly don't know if he was considering other variables like performance per dollar or stuff like that Frigate runs best with Docker installed on bare metal Debian-based distributions. Jan 22, 2024 · Hello all, First of all, thank you very much for a great project. Problem: They are very hard to get. 2 they have continued optimizing for Meta's Llama 3 large language model. But in my testing native OpenVINO run better than ORT-OpenVINO It took me a lot of time to actually understand OpenVINO documents, here are some docs that may help you: Convert models from other frameworks to OV. Recent Frigate versions support it and any 6th gen+ Intel processor also supports it. Google Coral TPU Openvino and vitis is only about deploying on edge devices, and specific target architecture. Oh fair enough. Frigate is designed around the expectation that a detector is used to achieve very low inference speeds. Frigate/go2rtc: 10. I keep trying to transcribe the first interview, and after the first 3 minutes and 45 seconds, it only transcribes that last statement over and over again until the end of the recording. Aug 1, 2023 · No, I have installed ubuntu packages on default frigate docker container, they needed to be repacked, but it worked. I've been running this for a few weeks now, the inference speed on my i5-7500 is around 9ms! So if you've got a supported CPU, then you don't need to spend the extra $ on a Coral anymore. J'ai un Coral USB connecté et j'essayais de configurer Openvino ainsi que pour la détection. Decided to give it a try, very simple set up, just a few lines of code in the config. So most of the intel based home servers (6th gen and up) can leverage their igpu without coral or dedicated video card. I was running OpenVino on a i5-6500T, and just added a PCI M2 B/M coral last week. YOLO-NAS model #. But the only piece in the puzzle that I have not sorted yet is the detector part. But yes, this is correct, it is performing with similar performance (just a tad slower) as the coral Dec 22, 2024 · I’ve been getting no end of issues with frigate directly installed in home assistant as a addon in the proxmox vm. Long story short: if you have an Intel CPU, see if the OpenVINO detector performs well enough for you. When running the openvino export using ultralytics CLI, the results are fantastic. I only have a few cameras so I can't speak to relative performance, but it has been absolutely fine for me. Any compatible model that a user may find works better than the current built in model is able to be used in frigate, and this won't change. I have WebRTC installed and can view the stream via Frigate as well as directly from go2rtc, however I can't figure out how to get Home Assistant to use the WebRTC stream via the Frigate Card. It is supported on Intel igpus and has worked great for me. At beginning there was known problem with missing packages, so I followed steps from: #12012 (reply in thread) and then I was able to run openvino. The other 3 are Eufy We would like to show you a description here but the site won’t allow us. openvino seems like the only option for integrated gpu. 20. It's working pretty well for me. I would like some recommendations on: What hardware and installation method to use for HA and Frigate. I have already tried to configure it like this: SYSTEM Compute Settings OpenVINO devices use: GPU Apply Settings But it doesn't use the GPU Version Platform Description. To see how the Multi-Device execution is used in practice and test its performance, take a look at OpenVINO’s Benchmark Application which presents the optimal performance of the plugin without the need for additional settings, like the number of requests or CPU threads. The images you upload are used to fine tune a base model trained from images uploaded by all Frigate+ users. It also runs over 20 docker containers, it has two 2. Apr 21, 2025 · To effectively integrate OpenVINO with Frigate, it is essential to understand the underlying architecture and how it interacts with the Frigate NVR system. OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. I'm using openvino on AMD Ryzen 7 with integrated Radeon GPU. v2. 14 beta and the detector CPU graph shows usage usually less than 12% (I'm guessing this is averaged and there are probably spikes higher than that), and total CPU utilization hovers around 25%-30% (with 6 * 4k Jan 12, 2023 · From what I can see on a Xeon E3, the OpenVINO detector in CPU mode is much faster (4-10x) than the "testing only" default CPU detector. It's pretty nice for Frigate. Jun 3, 2024 · I've set frigate up running inside docker on Ubuntu 22. Fire it up on my dell 7th gen intel with no gpu or tpu. with iris xe, in sd, I either got stuck producing images or produced black screens. 12 beta they have support for OpenVINO for Intel CPUs The OpenVINO detector type runs an OpenVINO IR model on Intel CPU, GPU and VPU hardware. For now I am using OpenVino as a detector on an i5 integrated GPU. My SD won't load OpenVino after i installed extension Inpaint anything. 40% and coral between 0-30% depending on movement. For ideal performance, Frigate needs low overhead access to underlying hardware for the Coral and GPU devices. It works beautifully (3. 12-1) > Ubuntu 24 in LXC > Frigate Debian docker. Dec 11, 2020 · Well after using coral tpu devices (usb and m2) with Frigate, I came across openvino model on Frigate. So it was Proxmox (kernel 6. terminal capture when launching SD. Installation: Begin If you are going to be working with HA, cameras (2), frigate, plex, and a few other things thrown in, you could get away with an i3 easily. My 1 L PC is running frigate with 8 2k cameras doing motion, object detection, inference of 18ms running openvino and yolo8n. Unfortunately I had to use CPU detectors as AMD do 3. Using the Multi-Device with OpenVINO Samples and Benchmarking Performance¶. 14-beta 2. No need for Coral tpu anymore for intel processors with igpu. Oct 19, 2024 · Reboot the VM and you are ready to use the iGPU within it. My general assumption is that frigate is a bit more specialized while Viseron is a bit more diverse Thanks deinferno for the OpenVINO model contribution. 0. I have the pi5 and USB coral with 4 cameras in use. Hi. OpenVINO on 13900K PC CPU on 13900K PC CUDA on PC Then in terms on search result quality, CUDA and CPU cases were comparably good. New beta frigate can use openvino. 6 Intel HD Graphics 520 with 8GB of RAM Stable Diffusion 1. My log shows entries of "Camera processor started for backyard: x" for each camera. My problem is that We would like to show you a description here but the site won’t allow us. It felt like just throwing me random pictures whatever I search for. With Coral the cpu is generally also around 12-13%, but the spikes are slightly less recurring, up to 32%, sometimes up to 40%. . The capability it offers is phenomenal and I'm trying to get it set up right. We are sound for picture - the subreddit for post sound in Games, TV / Television , Film, Broadcast, and other types of production. What it does, it recompiles the models for use on the XMX cores. inference speeds of 14ms using openvino model We would like to show you a description here but the site won’t allow us. 5ms average detection time!) detectors: ov: type: openvino device: AUTO. I'm unfamiliar with OpenVINO and want to know where to start. The bad results come when using the openvino export on Frigate :( It can detect the classes, but there are lots of false positives and when the object is in frame, it might detect them but then eventually lose them. Look into the Frigate Beta and using the Openvino detector. This has been made clear. I called that library as it is a well defined unique set of functionalities packed in one tool. Frigate+ offers models trained on images submitted by Frigate+ users from their security cameras and is specifically designed for the way Frigate NVR analyzes video footage. Yes, I like Frigate as well. I am using OpenVino, have an i5 with the integrated GPU, and the plug-in detects the GPU and processor correctly. I am finding the build I am using is slow and the quality of images is not great (quite frankly, they are cursed) and I was wondering if there would be any benefit to using the A111 SD, with CPU only over openvino. ONNX: OpenVINO will automatically be detected and used as a detector in the default Frigate image when a supported ONNX model is configured. The advantages include: Reduced latency between detections; Increased number of detections per second; Frigate is designed to leverage the capabilities of detectors to achieve very low inference speeds. After downloading and converting yolox-tiny model using the same version as used in frigate, it works. When I add openvino to the frigate config, it seems to cause the Frigate addon to crash and If you can find a Coral. The cameras are first added to go2rtc, and the cameras section pulls the feed from there into Frigate (and Home Assistant) We would like to show you a description here but the site won’t allow us. The streams loads itermittetly at best and there are a stream of errors in the frigate logs. When I moved to beta 3 Frigate doesn't load anymore. The 1 not working is a different brand than the rest. Image processing models have different image size definitions and the Natural Language Processing models have different max token list lengths. It is a Nest doorbell that I am pulling the WebRTC stream for from Home Assistant using go2rtc v1. Posted by u/firefox199121 - 1 vote and no comments Hi, I have been trying to build a local version of SD to work on my pc. We would like to show you a description here but the site won’t allow us. I am deciding on new hardware to run 4 IP cameras (2K) using frigate. Beta Was this translation helpful? I use the HA frigate proxy to connect to the container. 5Gbit links and a 1 gbit. My coral is then passed through to the linux vm. For stuff like Plex and Frigate, getting GPU acceleration and transcode set up is such a time sink I don’t want to have to figure it out on Intel and AMD. is not recommended though some users have had success with Proxmox. It's running HAOS on bare metal with all the usual addons but including Frigate, Nextcloud, Adguard Home, NginxPM - handles it easily. iiqtfdhpdlorobfihdrmkydzhkwcnblbutrhabbprgxeoqbvwyts