Blakeblackshear frigate openvino vs openvino reddit I've set up frigate according to the recommendations from the docs: frigate 0. Per the blakeblackshear / frigate Public. I have the iGPU (HD 530) passthough to home assistant by using this guide: https://3os. 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. I can share the few lines you need to add for a Coral PCIe card. Please report posts containing spoilers unless they are hidden using spoiler tags (>!x kills y!<) or are inside a thread clearly labeled as containing spoilers. 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. 12. I noticed that people recommend a coral TPU to help with object detection. 13. While it's relatively running relatively A-OK with a single RTSP stream and takes around 10% of CPU resource on the host level. . Im running a 12700k on unraid and ive now read in a few spots that running the 'openvino' model is better than a coral. Posted by u/if_else_00 - 2 votes and 18 comments blakeblackshear / frigate Public. Also, v0. Share Sort by: Best. com Open. What would be the recommendation for GPU that's cost effective if I'm planning to have perhaps around 5 streams? The OpenVINO detector is a powerful tool for running inference on various models, particularly optimized for Intel hardware. I'm a complete rookie when it comes to neural stuff and I can't find an easy way to test the device, tutorials I find all seem outdated, the first that pops up is ncappzoo, the Describe the problem you are having. Please use our Discord server instead of supporting a company that acts against its users and unpaid moderators. No, I have installed ubuntu packages on default frigate docker container, they needed to be repacked, but it worked. They need to make frigate be a bit more standalone and it Ah I see, you mean holistically. Also, even those push notifications only work if you are at home. Probably easiest to start with openvino and see if power usage is acceptable. OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. Answered by NickM-27. Open comment sort options CPU is continuously at approx. I have a Coral USB hooked up and However, the OpenVino models are different right now. OV Python summary @NateMeyer Thanks for the new image, still getting the same issue though. org/infrastructure/proxmox/gpu-passthrough/igpu-passthrough-to I'm new to Frigate and just set it up as an addon on a N100 mini PC running HAOS. and want to try to install SD - should I go with OpenVINO, or try to install Automatic1111? 1111 seem to be more popular and as I heard may run on Intel via Google 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. I have Lenovo TS140 running ESXi and I have a guest OS where my frigate docker instance is running on with Coral USB passthrough. Yes, I like Frigate as well. The considered options are: Raspberry Pi 5 + NVMe hat + coral + 256 SSD (80 + 20 + 25 + 20 = 145 USD approx. 5 Model Path: Ensure the path to your model is correct and accessible by Frigate. It is an AI accelerator (Think GPU but for AI). A supported Intel platform is required to use the GPU device with OpenVINO. Hi. You can always deploy Frigate with CPU detector first and get a coral later. Decided to give it a try, very simple set up, just a few lines of code Frigate can easily be replaced by a function randomly returning something from the following list: Note that the beta version supports AI detection using Intel CPUs via OpenVino as an blakeblackshear / frigate Public. miczlo asked this question in Ask A Question. It supports multiple platforms, including 6th Gen Intel processors and newer with integrated GPUs, as well as x86 and Arm64 hosts equipped with VPU hardware like the Intel Neural Compute Stick 2. I do have the udev rules installed on the host, and the device is detected by the query_device sample program. 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. The capability it offers is phenomenal and I'm trying to get it set up right. Is it possible to use both Coral and OpenVino? #5063. 8. The performance of YOLO models in OpenVINO can vary significantly based on the hardware used for inference. 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. Here’s a sample configuration snippet: detectors: openvino: type: openvino model: /path/to/your/model. I configured GPU Passthrough to /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. The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup I know that Intel OpenVino only officially supports Intel chips, but I am curious if it would still work on AMD Ryzen 9? Note: Reddit is dying due to terrible leadership from CEO /u/spez. xml device: CPU confidence: 0. Problem: They are very hard to get. I have tested a few setups and the difference is actually not that big between Coral and OpenVino which is a big surprise for me too. Code; Is it possible to use both Coral and I want to be able to select if a camera uses openvino or coral so that I can combine the load between both, and maximise the available detection FPS capability of the system. ultralytics CLI? There are no errors in the logs. A subreddit about the puzzle game The Witness developed by Thekla, Inc. I am deciding on new hardware to run 4 IP cameras (2K) using frigate. So it was Proxmox (kernel 6. Please note that InsightFace python use ONNX-Runtime (ORT), there is a way to run the OpenVINO model with ORT. They are not expensive 25-60 The Frigate is running as add-on of Home Assistant. I don't know if one is better than the other. 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. Frigate is awesome but it has some big drawbacks compared to others. Over time, I expect the same models to be available on all detector types, so the only Well after using coral tpu devices (usb and m2) with Frigate, I came across openvino model on Frigate. I had to do a lot of per camera fiddling to make detection work and to get the live stream to work faster than 5fps. It’s slow, but it works. Below is a detailed overview of the inference speeds across different Intel platforms and configurations, which is crucial for Run two streams into frigate for each camera. 40% and coral between 0-30% depending on movement. Get the Reddit app Scan this QR code to download the app now Select the first one (blakeblackshear/frigate), click 'Install'. Your detect stream should be 340x480 or as low as you can go and a framerate of 5-7 fps. But it seems that my CPU and GPU are not supported. The upgrade of OpenVINO in 0. I have 9 cameras monitored, the detect I was running OpenVino on a i5-6500T, and just added a PCI M2 B/M coral last week. If submitting a spoiler, please flair your post as a spoiler AND mark as a spoiler in reddit. Under image version, select 'stable', click 'Next'. Unfortunately I am struggeling with the openvino Object Detection. I haven’t noticed any CPU major impact, but I am running only For Frigate to run at a reasonable rate you really needed a Coral TPU. I have some H265 cameras and compatibility with frigate is kind of a pain. To configure an OpenVINO detector in Frigate, you need to set the "type" attribute to "openvino". Notifications You must be signed in to change notification settings; Fork 1. I'm running frigate on unraid using a docker from the app store. In 'Create Container' window, I give it 50% CPU, 4G RAM (adjust according to your needs). Version 13’s most anticipated feature is the introduction of custom models through the Frigate+ service. My inference went from 15ms to 9. Code; Is it possible to use both Coral and OpenVino? #5063. I never used Blue Iris, so can't compare. I looked at the Object Detectors documentation and found that there are some options besides CPU. 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. 2 in home assistant; detection streams 1280x720 It’s generally easier with LXC containers versus VMs, unless you’re using a USB coral. 12-1) > Ubuntu 24 in LXC > Frigate Debian docker. 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. and want to try to install SD - should I go with OpenVINO, or try to install Automatic1111? 1111 seem to be more popular and as I heard may run on Intel via Google Describe the problem you are having Hi Everybody! I wanted to setup Frigate in VM (using Proxmox) on my host machine with Intel Xeon E5-2660 and Nvidia Quadro M2000. There shouldn't be any difference in inference speed - you're not using pure CPU inference like a CPU detector would, you're still using Frigate with detectors setup using CPU, nVidia or OpenVino Hi guys, I'm new to Frigate and currently still learning how to configure it. To configure Frigate to use OpenVINO, you need to modify the configuration file. The only difficulty is generally finding the device into in /dev to pass to the LXC. Or With version 13 of Frigate currently in beta, I thought this would be a great time to talk with Blake to get a behind the scenes look of Frigate’s history and where it’s going in the future. Such as you cannot get push notifications unless you integrate with homeassistant. I configured GPU Passthrough to thanks :) In Frigate 0. But I like Frigate being Linux based and can run as a docker. this post on REDDIT. OpenVINO is designed to optimize deep learning inference, making it a powerful tool for enhancing the performance of video analysis tasks in Frigate. Hi, I have been trying to build a local version of SD to work on my pc. I have the openvino fork of Stable Diffusion currently. on a i7-7700 CPU with a 1050ti and I have set the shm to 1024, as I read somewhere it may be insufficient RAM. It is comically bad. ) N100 dual NICs mini PC with openVINO - 256NVMe 16GB Raspberry Pi 5 + google coral VS N100 miniPC + openVINO ? reddit. 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. Is there something different about how Frigate is using the model vs. No matter what you should be using your iGPU for decoding as the coral does not do that. The GPU load is definitely per-camera and of course depends on the cameras resolution, frame rate, etc. 9k. Frigate version 0. This allows the system to utilize the OpenVINO inference engine, which is optimized for running on various hardware, including Ive been messing around with Frigate this week to see what I can get setup. As far as openvino vs coral goes it is highly device-specific and not easy to predict. 0 supports OpenVINO for AI detection, which uses Configuring Frigate for OpenVINO. Transparency is a key value for /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. 14 makes it so some configurations require specifying CPU rather than GPU. 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. Members Online. Hi guys, I'm new to Frigate and currently still learning how to configure the detectors. Eh, I’d advise the opposite. 8k; Star 19. Make sure you specify in the config the detector resolution and that it matches the actual resolution of the camera. At beginning there was To effectively integrate OpenVINO with Frigate, it is essential to understand the underlying architecture and how it interacts with the Frigate NVR system. miczlo Jan 13, 2023 Describe the problem you are having Hi Everybody! I wanted to setup Frigate in VM (using Proxmox) on my host machine with Intel Xeon E5-2660 and Nvidia Quadro M2000. wcunh gxon ghx cybbp owphrjk dgn ivk egwreln reodude uqfcht