Compreface coral reddit On the Docker tab in the unRaid webgui, stop CompreFace if running. I have a Coral AI on the way to take the detect work away from the main CPU, but as this is a server (HP ML110G7) with what would appear to be an unsupported (from ffmpeg's point of view) graphics card (Matrox G200), I wondered if there are any recommendations for graphics cards that will fit this box, not break the bank We would like to show you a description here but the site won’t allow us. figure out how to set it up in portainer and not using the commands in the compreface install guide. IF YOU DON’T DO THIS, YOU WILL CONTINUE TO GET ERRORS NO MATTER WHAT YOU DO. In my setup I am using frigate with coral usb for all object detection and I went a step further and added double-take and compreface for face detection. One capability I'd like to add is to be able to easily browse through unknown faces and potentially train for them (with names). Frigate is a network video recorder that has build in object detection. We would like to show you a description here but the site won’t allow us. Reolink is devoted to creating the finest security products for consumers and business owners. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). More pre-trained models are on our Models page. My server for example sits at about 24gb used with like 6-8gb being security camera related (compreface really likes its ram). I picked up a used Quadro GPU on EBay to use for Compreface but I already have a GTX1660 I use for Jellyfin/Plex. I ordered a T1000 as I wanted to give it a go as a gaming VM, but was sent the wrong card twice now, so I've just about given up on the T1000. I don't know if frigate does two way audio yet, I stopped using it because even with a coral I had too many cameras in there for my HA Blue. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. I’m running proxmox on it, I have hassio on one vm and other vm running frigate with the coral and face recognition (double take + compreface) with the gpu. Is there anyway inside unraid to show a % usage of the device For the past few weeks, I've been using Frigate, Double Take, and CompreFace (using to Google Coral USB Edge TPU), achieving around 70-80% accuracy in facial recognition. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition and is easily I have blue iris on a NUC and it is averaging 900ms for detection. You won't be able to talk with the native integration. I'll list my choices and rationale below. A place to share configurations, best practices, tips, and complaints on the new Anker/Eufy EufyCam. Can it take advantage of a Coral stick? No, for now, we support neither arm processors nor GPU acceleration. $50ea Thats a pretty good deal. You will need a Coral device. So the title pretty much explains it all. Welcome to the subreddit of America’s newest wireless network! Dish Wireless is the fourth largest wireless carrier in the U. 1, we added Pose Plugin, which allows you to detect the pose of a face in an image. I'm moving it to my Unraid Server because I'd like to use one of the custom GPU builds and my Proxmox Server is a laptop so I can't upgrade the GPU in it. Right now I run Compreface on my Proxmox server. Get CompreFace on Github >> Features Showing CodeProject. Attached images are from Double Take and Frigate. Time per inference, in milliseconds (ms) Model architecture Desktop CPU 1 Desktop CPU 1 + USB Accelerator (USB 3. I have docker running in an lxc on proxmox which gives me some nice options for storage locations and backups,l. I am very happy I built myself as when I need to upgrade or my requirements change I don't need to buy a whole new system. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. 6. Get support, learn new information, and hang out in the subreddit dedicated to Pixel, Nest, Chromecast, the Assistant, and a few more things from Google. My stack looks like: Home Assistant - UI Frigate - DRV DoubleTake - Train/personalize AI CompreFace - facial I'd recommend you to use compreface instead of deepstack, as its not maintained. From there install the addon in ha and you can turn detection on / off for the cams you setup. I'm thinking a hardware issue of some kind since I haven't been able to make any progress on it. 04 with frigate, compreface and doubletake in docker, that's it. Feel like I am missing something. But you can use CompreFace to create anti-spoofing system from video stream. true Installed compreface in a docker container and set it up to get a key to put in doubletake config. Currently untest from what the post said, but still wanted to share here. Hi, if you are using Compreface, a free open-source facial recognition solution, it has some new useful updates in the new version. I heard compreface has other models so I wanted to try Arc. I cant try it out yet because I run my system in ESXI. Install went fine on a separate machine than the original compreface but when I put in the IP of compreface-arc and the API key it times out after 15 seconds. Home Assistant automation scripts gets me the notification I need from mqtt. Apparently 12. phone must in the vicinity, if already 'home Jan 13, 2019 · When used with DoubleTake to train the facial recognition it's great. 1, an open-source and free facial recognition solution. CompreFace Image Classification Responsive, mobile friendly Web UI written in TypeScript React MQTT support Home Assistant MQTT Discovery Lookback, buffers frames to record before the event actually happened Frigate (w/USB Coral) - 1 x 1080P camera, 3 x 4MP, 1 x 8MP and eventually a panoramic camera, either 4 or 8MP, so potentially another 2x 8MP at most. com/r/bropat/compreface-core/tags. I've been using doubletake & frigate with compreface without any problems. Table 1. I am switching to reolink using rtsp. It would also support other models like compreface face detection. Codeproject ai just added beta support via a module. ESXI doesnt properly do passthru on the coral device so you have to use a usb pciexpress card The dev just put up brand new docs for the v8 release - best tip is to start with the super simple config file and build up from there. A basic home assistant/zigbee/zwave type setup can probably get by with 4gb though, but with prices like they are its hard not to reco CompreFace v0. Case: Fractal Define R5 We would like to show you a description here but the site won’t allow us. I'm even using Compreface for facial recognition. However, Frigate NVR has been detecting as it should, but, it would seem that the detectors are not detecting or maybe not receiving the images. 1 version, it will run migration scripts. It could possibly run also on ARM as there are Docker Images (for ARM too) to support th Tensorflow via Google Coral EdgeTPU DeepStack. My Frigate setup is using a Coral USB Accelerator, so the interference speed is pretty quick and the detection of a person happens almost instantly. use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. Now I want to add DoubleTake triggers into HA but it doesn't look like I can use the separate install that I have on the VM, is the only way to get the triggers to use the DoubleTake addon? Pretty sure frigate (with coral tpu) is quicker then my RF pir sensors (going through sonoff RF bridge). It usually can process an image in under a second. I just installed double take on hass (it's just another addon now, very easy). Required Hardware. 1GB RAM is definitely not enough for CompreFace, sorry. Add support of Pose Plugin on UI. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). Ouvrir le menu Ouvrir l’onglet de navigation Retour à l’accueil de Reddit Ouvrir l’onglet de navigation Retour à l’accueil de Reddit Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. I only use the GFX card for hardware accel of 3 x frigate cameras. it's not doing much better. I'm curious about other people's setups and whether they use the same software/applications or have similar alternatives. 3+) installed and a VM running Ubuntu 20. Le CP a actuellement des problèmes avec Coral. I I am using the coral on my home assistant computer to offload some of the work and now the detection time is 15-60ms. All questions and photographic experience levels welcome! I'm looking for guidance for recommended hardware to run CompreFace on. As a docker noob, it took a qhile to. true. If code project ai added coral i would give it a try. I have a dual pci coral (with dual adapter) which works well however my server also have a GTX1060 3GB card. If your using Nvidia GPU, you have to make sure your using Cuda 12. To start messing around with face recognition I installed double take and compreface in dockers on it's own VM. You switched accounts on another tab or window. Res for my cameras is 2560x1440. Compreface is detecting faces correctly. Reply reply More replies More replies CCIE_6771_Emeritus 52K subscribers in the coolgithubprojects community. Jan 1, 2024 · 我的硬件环境：N4100主机，Coral TPU 软件环境：PVE8 一、创建LXC容器 详细过程不说了，网上教程大把，因为要支持Docker，所以无特权的容器要选否，先不要启动。这里得到一个容器号，假设是102。 二、PVE8安装Coral TPU驱动 先更新下软件包 I use CompreFace and Frigate for presence detection. On the other hand, the GPU will use more considerably more power compared to the highly efficient coral so if power bill is a concern then that could be a big consideration. com/exadel-inc/CompreFace/pull/1198#issuecomment-1793512237 Feb 1, 2022 · Hello, I was wondering if anyone has tried all of these: Frigate vs Doods vs BlueIris vs Deepstack with Google Coral for object detection and could give us a summary of Pros / Cons for each of them ? Incorporating Google Coral TPU support in CompreFace would be a game-changing move. AI (aka Deepstack) and CompreFace was trained. For immediate help and problem solving, please join us at https://discourse. practicalzfs. But we are working on this. It literally dropped the temps on each coral by 15 C I bought this little nuc to host frigate with coral ai on it, which has worked great. Install is relatively fresh since my former SSD died. The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. I have an optiplex with an i7 8th Gen that does pretty well with frigate, compreface & deepstack but I'm also interested in the energy efficiency of the n100. Nov 22, 2022 · If you're looking to buy now then the value proposition of a coral is lessened due to the higher prices, and of course the nvidia GPU will also be able to run encoding/decoding which may be a bonus as well. As for double take it certainly could do what you want and is always very quick using compreface but it adds a massive security risk and could easily be fooled so you want to add extra steps so that it doesn't just use the camera images. An Unofficial place for questions, discussions, tutorials, workflows and possible bug discussions about darktable. Search for skrashevich doubletake, it's maintained and over 300 commits ahead of dead now yakowlenko doubletake. --- If you have questions or are new to Python use r/LearnPython I use Frigate, CompreFace, and Double Take to process all of my camera's RTSP streams around the house. I've got compreface running on my frigate server, and used the Homeassistant integration for Doubletake. Si vous utilisez le GPU Nvidia, vous devez vous assurer que vous utilisez Cuda 12. 2 in my home lab (6mo running without any complex issues). I get 4 times more recognitions with deepstack than with compreface. Veganism: A philosophy and way of living which seeks to exclude—as far as is possible and practicable—all forms of exploitation of, and cruelty to, animals for food, clothing or any other purpose; and by extension, promotes the development and use of animal-free alternatives for the benefit of animals, humans and the environment. Feb 23, 2024 · I am intrigued by the Google Coral USB and was wondering if anyone has used or believe the Google Coral could be used for anything in Home Assistant other than frigate? I have a number of Reolink cameras and an array of alarm sensors. News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance Nov 18, 2024 · 大家好，今天给大家分享一个自托管免费开源的人脸识别系统CompreFace。 CompreFace 是一个开源的人脸识别系统，由 Exadel 公司开发并维护。它提供了一个基于深度学习的解决方案，用于人脸检测、识别和验证。 CompreFace 的设计旨在简化人脸识别技术的使用， If you have say 20-30 cameras doing object recognition in Frigate without the use of a Coral device maybe. If you had a larger computer that you could have a GPU with CUDA cores, you probably won’t need the coral. com Free and Open-Source Face Recognition System that can be integrated into any system without prior AI knowledge… To identify specific people, you can install DoubleTake as a Home Assistant add-on for facial recognition, set the configuration to feed all frames ID'd by the Coral as "person", then DoubleTake sends those frames to either DeepStack, CompreFace or Facebox (all available as add-ons in Home Assistant), and that software then does the face detection. This video 📹 is a must-watch for anyone who wants to learn the easiest way to get Local Object Detection in Home Assistant with Frigate. No linking to product sales, affiliate links, self-promotional links, or selling equipment. A place to share, discuss, discover, assist with, gain assistance for, and critique self-hosted alternatives to our favorite web apps, web services, and online tools. Facial recognition is only as good as the training data provided. 2 et versions antérieures. Sharing Github projects just got easier! Definitely, but its very dependent on the addons you run. At this point Double Take starts to look at the camera images to determine who the person is. Reply reply Hazardous89 This assumes that you already have Proxmox (6. 01. It can be integrated into IT systems by any software… CompreFace, free open-source facial recognition solution, announced new design and features in its new release: the Pose plug-in that allows to get… 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. Sep 14, 2023 · To see the list of GPUs supported by older CompreFace versions, visit our previous blog post. Looks like the Asus Tinker Board Tinker Edge T also contains this Coral Edge TPU. https://github. Btw, what bracket did you find for that TPU adapter? I haven’t found a good match yet. Not only has this feature demonstrated notable effectiveness in Frigate, but it's also recognized for its superior performance enhancements. Hello. 0) with Edge TPU Embedded CPU 2 Dev Board 3 with Edge TPU It's a model meant to run on the coral board and with the right skill set is easy enough. 3 rencontrent des problèmes. Double Take Compreface Some kind of number plate (ANPR) recognition A simple file server, such as OMV Possibly Ubuntu/Mint etc to practise my Linux skills Do you have a working automation for notifications? I tried the blueprints but I can't get it to work where it says the name which match the face like. Try it and share your feedback with us… Aug 22, 2023 · If you start CompreFace 0. But I'm currently trying to add facial recognition via double-take and compreface. Having an issue where Compreface is not connecting to Double Take. No settings to really change (that I can tell) in You signed in with another tab or window. 0-1. Vous souhaiterez utiliser celui avec la balise 12_2 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. 15 votes, 10 comments. It now includes an updated CUDA library, support for the… Hi, if you are using Compreface, a free open-source facial recognition solution, it has some new useful updates in the new version. Welcome to world's largest Astral Projection community! We recommend keeping an OPEN MIND. Hopefully, soon we will release CompreFace for arm devices. Also, instal PSA: The latest version of Frigate NVR installed through the normal method (no special Synology Docker image or drivers needed apart from redirect to port 5000) can use Coral USB. Edit: I looked at the hardware specification of Model 3B. 01 Facebox CompreFace mention itself as service, no idea if the faces are sending to cloud for inference, Amazon Rekognition is cloud based, DeepStack v2021. Not an overkill like yours but a ryzen 4500 + 32g + rtx2060 + google coral. Now you can't run CompreFace on arm devices. I used this bracket along with a noctua 40 mm fan and the heat sink from this sata adapter. 3 drivers are having issues. I'm not sure who's doing the rejection Compreface, Double Take, or Frigate. --- If you have questions or are new to Python use r/LearnPython Nov 22, 2022 · It would also support other models like compreface face detection. Hardware is an Intel NUC 10i7 Performance kit (i7-10710U) with 16GB of RAM and a PCIe Coral. ML part to Google Coral accelerator If the Google Coral USB accelerator (Google Edge TPU) could be used for CompreFace it would offload the ML part. Frigate is my NVR and handles the object detection. In CompreFace 1. DeepStack is not impressive. These can be purchased from okdo. Compreface on the other hand I am usually 99% and it works great, unknown people can sometimes be 80%s but are usually 50% so it has worked much better in my experience. One of the guys over at compreface on github has built compreface with coral tpu support. 10. Also added "training" images of faces I want to identify. I have frigate working, deepstack working, compreface working and doubletake working. Similar, in the process of leaving wyze. A few cameras from one house might let you fit better on some use cases you might have, but there's no large public dataset of surveillance images out there to significantly Coral TPU is almost impossible to buy without a multi-month lead time or a huge markup - GPU is still the way to go until Coral is more available. Frigate and rtsp2webrtc are two possible paths to view the streams. Any help would be greatly appreciated. 5. For one, check the version you're using, YOLOv5 . darktable is an open source photography workflow application and raw developer. There are options for how to view them. I would like to use AI to analyse all the inputs received from - Used Deepstack and Compreface both in containers on my Proxmox server for a few days and realized Compreface is far superior, got rid of Deepstack. And I don't know who's or which settings to change to fix this problem. 118 votes, 24 comments. https://hub. Luckily, the (relatively) new OpenVINO detecter has been working great on the iGPU on my Intel i5-6600. 01 seems cloud based, Facebox has limitation for free version. 27 votes, 18 comments. CP is having issues with Coral at the moment. The cameras have some AI, which appreats to be quite good, but the alarm system is pretty dumb. 3 Likes danhiking (Daniel) February 11, 2022, 1:51pm Sep 13, 2024 · CompreFace作为一个强大的人脸识别库，以其出色的性能和易用性，为开发者提供了一个强大的工具。无论是在安全监控、社交媒体还是客户服务等领域，CompreFace都能发挥重要作用。. CompreFace works really quick though on my 2014 MBP that just sits in my office. CompreFace can be applied to any field, such as security, advertising, marketing, attendance, VIP services, as well as hotel, conference, and airport check-in. I installed CompreFace which is the facial recognition module onto the Linux docker machine – took me all of about 10 minutes including download time, and another 10 minutes to load some photos and train it – absolutely amazing! CompreFace has UI, you can manage your face collections and test them from UI. I got it working and training with frigate. The (un)official home of #teampixel and the #madebygoogle lineup on Reddit. Posted by u/lklimusheuskaja - 8 votes and no comments CompreFace是一个功能丰富的开源人脸识别系统，提供REST API接口，支持多种人脸相关服务。该系统基于Docker构建，可在CPU或GPU上运行，适用于本地服务器或云端部署。CompreFace采用FaceNet和InsightFace等先进技术，无需专业知识即可轻松集成和使用。系统还包含角色管理功能，方便控制访问权限。 Posted by u/kritike24 - No votes and 2 comments Coral examples link Simple code examples showing how to run pre-trained models on your Coral device. The detection of a person is coming from Frigate currently. You should use clear photos of the subject at an angle similar to the security camera for training, not images directly from the security camera. It works with deepstack, compreface, facebox, and rekognition. But compreface is much more accurate than deepstack. I was hoping with the coral tpus it’d process things better. (Post will be removed) Keep it civil. CompreFace, Free Open-source Facial Recognition Solution, Announced the New Release 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. You signed out in another tab or window. It's a bit outdated (2019) so it's about time for something newer and faster, but may be an interesting option nonetheless, although the form factor of that new device you linked looks very attractive. I thought the r/selfhosted subreddit might be interested in the project I work on. I created Double Take to pull images from Frigate to then process them for facial detection using (DeepStack, CompreFace, and/or Facebox). Make sure to increase your min_area and width. com with the ZFS community as well. . When I look at Double Take it says "box area too small". I use only one camera, tapo C200. 02. I hoped some of the wrong identifications were due to a time/accuracy issue around processing speed. THIS IS VERY IMPORTANT: delete the default compreface folder that was created in your appdata folder. Deepstack is used by DoubleTake to train the facial recognition. --- If you have questions or are new to Python use r/LearnPython Check out the new, updated version of Compreface 1. Hi, first of all, this is my first application running in docker on Truenas. 2 coral. This combination you have now it's doomed already. I'll share here soon. Hi everyone! There is a free facial recognition solution that you may find of value to you. Right now, I'm running it on a Windows 10 desktop, running docker but I would like to get something dedicated for CompreFace ideally something small like a NCU. Compreface is registering over 95% on multiple trained faces vs Deepstack never going over 80% even with a perfectly clear picture. 118 votes, 23 comments. We also sometime talk about other canon equipment such as printers. Compreface requires an x86 processor with avx support, so you wanna make sure the intendedacjine has that processor L'un des gars de compreface sur github a créé compreface avec prise en charge de Coral TPU. 2, we have added support for Pose Plugin to the UI, making it easier to test. ) and it is great. E. installed doubletake in a docker container Pointed doubletake config to Frigate, my MQTT server (home asssistant addon), and Compreface. Compreface is another app like Deepstack. 1-2022. I created an open source project called Double Take that ties everything together and displays results on a UI and posts results to MQTT which I then use in Home Assistant. Sep 8, 2023 · CompreFace作为一个强大的人脸识别库，以其出色的性能和易用性，为开发者提供了一个强大的工具。无论是在安全监控、社交媒体还是客户服务等领域，CompreFace都能发挥重要作用。希望这篇文章能帮助你更好地了解CompreFace，并将其应用到你的项目中。 CompreFace, a free open-source facial recognition solution has some new minor updates. Welcome to reddit's home for discussion of the Canon EF, EF-S, EF-M, and RF Mount interchangeable lens DSLR and Mirrorless cameras, and occasionally their point-and-shoot cousins. Granted the crappy cameras I use cost as low as $25 each, but if you don't have the processing power in your server it's probably better than doing what we're doing and waiting for Coral accelerators we ordered months ago lol. docker. 12 supports this what would give me better performance (especially in low light as my cameras as not starlight cameres - unifi G3 flex) Use CompreFace for Object Detection instead of default Wanted to know if it was possible to use CompreFace for object detection and if so, how do I do this in the config file? Thanks in advance. Sure you can use motion sensors or BLE, but doing it with cameras and facial detection was a fun challenge. There is an open PR with the CompreFace repo related to the Coral, maybe support is coming soon? Yeah, I was using deepstack previously but CompreFace has been much better / more accurate and dependable. I've ended up with a brand new Quadro P620. I am trying to get compreface to work but keep running in to issues i can access management page but the admin and the core do not load. Oct 8, 2021 · Progress! I was able to at least get the coral rest api running on it's own and then passing an image to it. You can stream video from Raspberry Pi to the server where CompreFace is running. CompreFace is amazing! My system will text me with something like "Jenny the cat 98% pooped on the south lawn at 2:32am. g. I have frigate up and running extremely well, detections are mostly accurate. Object detection means that you can create automations that require specific objects to be recognized. 2 and earlier. Motion detection Face recognition via: dlib DeepStack. This Reddit is aimed at the education and support for the community. View community ranking In the Top 5% of largest communities on Reddit. Astral Projection (OBEs) is the direct experience of transferring awareness to NON-PHYSICAL realities in order to explore BEYOND the physical. NET tends to have the best performance, especially on CPU. Sooo, strange one I guess. Actuellement non testé d'après ce que dit le message… Anyways, I recently bought the coral usb dongle. The big issue is the creation of good ground truth data to supplement training. CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. Feb 23, 2024 · I am sending snapshot URL (5MP) to /api/recogize endpoint. New CompreFace Version 1. I currently run 20 docker containers (HA, Frigate, DoubleTake, Compreface, Zig2M, zwave2m, etc. Is the key field required, and does that mean I need to sign up for an account? Is there any good tutorials on getting this configured properly with HA? Most tutorials for Double Take cover DeepStack. Using compreface without internet (completely offline)? What account should I use? I suppose it will work offline just fine, but what account name should I use then? View community ranking In the Top 5% of largest communities on Reddit Person Identification I am currently using multiple Battery/Solar Duo 2s but will eventually move to PoE cams. On the Docker tab in the unRaid webgui, delete CompreFace docker installation. 53K subscribers in the coolgithubprojects community. 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. I'm using only computer (HP tiny with i5 6th generation CPU) resources. Most aI/ML have a component of assisted learning. S. So you could make it so that the batcave secret entrance only opens if it detects a person standing there wearing a buttonhole and holding a bottle of château lafete in one hand and an umbrella in the other. com (there are other distributors) For some reason my Coral TPU keeps crashing. It allows now to manage subjects and images collections without any scripts or code, now you can also test CompreFace REST endpoints right away with predefined methods, using Postman documentation. We don't have anti-spoofing in CompreFace. Note: These examples are not compatible with the Dev Board Micro—instead see the coralmicro examples. I get only working where it says person detected, but not michael is detected for example i also use compreface with frigate and double take and a google coral Sorry to necro your post but can you clarify if you're running CPAI+coral in a windows vm with a Proxmox host, or are you running CPAI+coral in a Docker LXC with a separate windows VM on the same Proxmox host? I'm asking because I want to run the latter setup and have been having trouble getting CPAI to recognize my m. Reload to refresh your session. Im waiting on usb pci express card to come in so I can properly hook up this dongle. Migration can take quite a long time, so please be patient. 0 after using the 0. I am running Truenas Scale Cobia 23. All open source. Joking aside, I have an i3 gen 4 with 16GB of memory that handles 126TB NAS quite well and it also houses a few other docker containers and virtual machines. Deepstack just runs, you ONLY work within Double Take. You will want to use the one with the tag 12_2 so instead of trying to get the tpu to passthrough, i decided to run Frigate and Compreface on docker inside my unraid server to see if that unloaded the cpu a bit, But i have no way of seeing if the coral is actually doing anything. , offering a new kind of network experience; from Project Genesis to Boost Infinite, Dish is blazing a new trail in wireless with a network that can instantly switch between Dish’s Native 5G network and AT&T and T-Mobile wherever you are for the best experience. We’ll guide you thr Currently I have the following: RPi 3 running Pi-hole RPi 4 running home assistant Intel Nuc i5 4th Gen - running Frigate and Compreface. 0. What should I look for? My load is small, only a few images processed per hour. I've tried with rekognition and compreface, both worked reasonably well. Do you mind sharing your camera specs? I'm using Frigate right now, but the default models for object detection keeps saying the fire hydrant is a person and the cat is a dog. Feb 1, 2022 · I suspect once I get a coral this will be my way forward given the ease of adding face detection but until I get a coral its to CPU intensive to use as I add more cameras. Sharing Github projects just got easier! Table 1. An official subreddit for all Reolink products. You might need to make sure the mainboard supports that level of I/O though. Not sure if it's worth going that route though if I'll need to source a coral USB stick as well. Now that v0. I was thinking that I could potentially migrate all these services to the laptop. The processing needs to be done on the Google Coral, CPUs are really bad at processing the video. 1 If you are using CompreFace, a free open-source facial I thought I'd share the truly miraculous results controlnet is able to produce with inapainting while we''re on the subject: As you can see, it's a picture of a human being walking with with a very specific pose because the inpainting model included in controlnet totally does things and it definitely works with inpainting now, like, wow, look at how muuch that works. The credentials are simple, Url & Key. 0 Amazon Rekognition DeepStack v2021. But to be honest I am also newbie to the system in general. Apparemment, les pilotes 12. I'm thinking to support this it would probably make sense for it to be an external detector that you would have to setup just like any of the others. 04+ with Docker installed and a Frigate container created that you wish to pass-thru some Google Coral(s) for TensorFlow processing. It's impossible to create a reliable anti-spoofing system on 2d images. In my experience YOLO object detection isn't that demanding. Installed it yesterday and it straight away saw and was able to us the TPU. Reply reply More replies More replies CCIE_6771_Emeritus This subreddit is temporarily private as part of a joint protest to Reddit's recent API changes, which breaks third-party apps and moderation tools, effectively forcing users to use the official Reddit app. Im running something similar. It is dedicated to running frigate so it is running Ubuntu Server 20. Hello, I'm running the Frigate add-on within Home Assistant Supervisor. bhei skamx vxsbvp ukdyf vkn asdpa ocoof dgbkno qnqly yuhfj