Compreface coral reddit CompreFace Image Classification Responsive, mobile friendly Web UI written in TypeScript React I respond to all comments here on Reddit, the Home Assistant forum thread or GitHub issues. I picked up a used Quadro GPU on EBay to use for Compreface but I already have a GTX1660 I use for Jellyfin/Plex. Reply reply The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, 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. 0. Grow crops, nurture animals, befriend the islanders, and help revitalize the beautiful coral reef surrounding your town. Not sure if it's worth going that route though if I'll need to source a coral USB stick as well. The big issue is the creation of good ground truth data to supplement training. Codeproject ai just added beta support via a module. 2 coral, I've just finished writing script that does everything for you. We are just starting research, but it could help :) We recently found out that one of our developers created pulse detection from face video in his dissertation, so probably we can use different methods - add here Hello. Without a coral the thing would tip over. Brave is on a mission to fix the web by giving users a safer, faster and more private browsing experience, while supporting content creators through a new attention-based rewards ecosystem. Unlike heart events, which mostly focus on one NPC, these events bring together a wider cast of characters, unfolding naturally as you journey through the game. Get a Coral USB TPU for CP. I'm not getting errors in Did you get any positive results with Compreface and Home assistant? Im looking to integrate it directly on the system via image_processing entities, /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 If motion detection is a need for you, with frigate you can actually offload motion detection to ML coprocessors (like google Coral), which will allow your whole system to run much faster. Overpaid for a Coral so might as well dive in. Frigate and rtsp2webrtc are two possible paths to view the streams. 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. For release and pre-build images, it should be set to exadel/ value; postgres_username - username for Postgres database Similar, in the process of leaving wyze. Handling 5 cams at the moment easily with full load under 20% cpu on a DS1520+. conf in your server block, Get app Get the Reddit app Log In Log in to Reddit. CompreFace works really quick though on my 2014 MBP that just sits in my office. What is the best face detection model, but faster than retinaface? Is yolo5 trained on faces a good choice? Those of you who uses Double-Take and CompreFace. Apparently 12. 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. Case: Fractal Define R5 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. I didn't notice any major changes on cpu load, in fact eyeballing I thought I saw higher spikes, but then did as you did and adjusted the masks etc and that reduced my load to a pretty steady state. I cant try it out yet because I run my system in ESXI. Do not stop it during this time, as it may corrupt database data during data migration. g. CompreFace - Free and open-source self-hosted face recognition system from Exadel Frigate is a network video recorder that has build in object detection. I don't want to jump to too many conclusions since I don't know what containers you are running, but sometimes that file will fill up faster than expected due to a container not having directories mapped properly outside of the docker image. 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, Aquí nos gustaría mostrarte una descripción, pero el sitio web que estás mirando no lo permite. 04+ with Docker installed and a Frigate container created that you wish to pass-thru some Google Coral(s) for TensorFlow processing. 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. So, latest will use an uncropped large image, and the box for the space will be smaller, where as mqtt and snapshot can used cropped images where the face box will be larger as I have the minimum size for recognition 30000, also the distance from face to camera will impact resolution size and a smaller face is harder to recognize. CompreFace - Free and open-source face recognition system from Exadel A Reddit for small businesses, independents and startups to offer and share services, products, resources, and insight. IF YOU DON’T DO THIS, YOU WILL CONTINUE TO GET ERRORS NO MATTER WHAT YOU DO. After you run CompreFace, wait at least 30 seconds until it starts. Log In / Sign Up; I stopped using deepstack after I found compreface seemed to work better for face recognition. Frigate + DoubleTake + FaceBox + Compreface + Deepstack. Right now, I'm running it on a Windows 10 desktop, running docker but I would like to get something I have 6 cores attributed to HA VM, 6 cores and 4GB RAM to Frigate, and 6 cores and 8Gb RAM to Compreface. Or check it out in the app stores Google Coral EdgeTPU) Motion detection Face recognition Image classification Hardware Acceleration (CUDA, FFmpeg, GStreamer, OpenVINO etc) MQTT Is CompreFace the best for Face Recognition or is there something else Wondering how it compares to DeepStacks face detection or Compreface been updated in two years yet it’s still better than codeproject AI. Actually I’ve just solved it, I used the TensorFlow Java with the pre-trained model of FaceNet. If you want to implement on vanilla Nginx, refer to this repo and change the configuration accordingly. Welcome to the IPv6 community on Reddit. 1. I just recently had to redraw some of the plats for it for my work. 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. Reply reply More replies   As I have not gotten to this for the reasons of waiting on my Coral TPU to ship sometime in the next year :), the question is with the person object detection improvements offered by Reolink, what added benefit does Frigate provide over the baked in Aquí nos gustaría mostrarte una descripción, pero el sitio web que estás mirando no lo permite. 2 coral to come back in stock) - it's working well so far. Wondering if it’s a better choice in the long run to set up another NUC or similar? I did get my hands on a Coral. I get 4 times more recognitions with deepstack than with compreface. 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. 04 with frigate, compreface and doubletake in docker, that's it. I've been looking for a coral them since you posted this morning. I've replaced the Nest doorbell with the Reolink Video Doorbell (based on recommendations from here) and my Outdoor cam with a Hikvision camera. I have a feeling that my pc can not run it, Im running something similar. ai just to give you another option. If you go to the Docker tab and Welcome to r/coralisland, the official subreddit of the upcoming tropical farming sim game developed by Stairway Games. 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. The detection of a person is coming from Frigate currently. Feniks - A computer based NVR with AI capabilities (This one I plan on trying out. Log In / Sign Up; Advertise on Reddit; Shop and CompreFace was trained. For production systems, we recommend looking through them and set up CompreFace accordingly. Log In addon. Pretty much the whole city was platted around '74. If your using Nvidia GPU, you have to make sure your using Cuda 12. Incorporating Google Coral TPU support in CompreFace would be a game-changing move. Search privately. OS-NVR. If the Pi is your long term solution, you’ll need a Coral to do AI. In the DoubleTake webUI I have filled in my config and have green makers next to DoubleTake, MQTT and DeepStack but I'm not seeing any images inside DoubleTake when my cameras detect a person. While it's relatively running relatively A-OK with a single RTSP stream and takes around 10% of CPU resource on the host level. If you're recording from a lot of cameras or are hosting multiple services on the same machine, that could be a consideration as well This subreddit is temporarily closed in protest of Reddit killing third party apps, see /r/ModCoord and /r/Save3rdPartyApps for more information. Case: Fractal Define R5 MotherBoard: Asus B550 mATX CPU: Ryzen 5700G Get the Reddit app Scan this QR code to download the app now. r/coralisland • We've added a ton of slice of life events to Coral Island, showcasing the everyday happenings of the community. CP is having issues with Coral at the moment. If I get back and reconnect in time it crashes after 1 to 2 rounds and then I can't get back in. Anyways, I recently bought the coral usb dongle. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). CompreFace - Free and open-source face recognition system from Exadel 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. Members Online [P] CompreFace - Free and open-source self-hosted face recognition system. One of the guys over at compreface on github has built compreface with coral tpu support. ESXI doesnt properly do passthru on the coral device so you have to use a usb pciexpress card I'd recommend you to use compreface instead of deepstack, as its not maintained. It's a model meant to run on the coral board and with the right skill set is easy enough. It works with deepstack, compreface, facebox, and rekognition. The best privacy online. Are there reasonable alternatives that exist today to use Frigate with something equivalent to a Coral AI 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. registry - this is the docker hub registry. Also, instal Not a bad use, but I'm already running frigate with a coral accelerator Compreface for facial recognition; photoprism video files transcode. E. 2 and earlier. On the Docker tab in the unRaid webgui, stop CompreFace if running. All your AI capability built-in, all in one place! CompreFace, free open-source facial recognition solution, announced new design and features in its new release: the Pose plug-in that allows to get the face’s orientation in 3D space, wizard for creating facial recognition service, facial recognition I've moved to SWAG for my reverse proxy, which has a native Authelia module. I am wondering if I already completed the story. Frigate is running on a NUC8i5 with two Coral accelerators and then Facebox is on an old MacBook Pro. Passthrough Coral TPU to I have frigate set up on another machine and accessible on the network (waiting for an M. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, a VM running Ubuntu 20. AI, CompreFace, Deepstack and I started using double take and frigate running on a raspberry pi 4 with coral edge TPU, and CompareFace on a /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt I run Unraid OS in a NAS that I built myself. There is also additional documentation linked there which should help answer questions that many people have had over the last year+, and I am happy to answer questions as well. Motion detection Face recognition via: dlib DeepStack. Get the Reddit app Scan this QR code to download the app now. codeproject. 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 ? may you want to check out if other models from compreface-engine "insightface" could run on a coral (or other AI-Hardware like jetson nano) as a AI-REST-Server? -> My guess is Blue Iris uses a online API to access most likely Google Tensor Processing Units (Edge chips in Coral available 2018) for a monthly fee. The processing needs to be done on the Google Coral, CPUs are really bad at processing the video. Install is relatively fresh since my former SSD died. AI and all will be good. It usually can process an image in under a second. Codeproject. I used to live in SE cape coral. There should be 5 CompreFace services: compreface-core, compreface-api, compreface-admin, compreface-ui, compreface-postgres-db. 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 have gotten my mermaid tail and nothing happens since then. Progress! I was able to at least get the coral rest api running on it's own and then passing an image to it. The people putting the tools to use are the problem, not the tools (it's like knives : they aren't bad in themselves, people that use them to hurt or kill people are). Here we discuss the next generation of Internetting in a collaborative setting. But compreface is much more accurate than deepstack. 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. But now I have another problem, the face detection of OpenCV Haar Cascade is not accurate enough, for example, if the face in the image is slightly tilted, it will most likely not be able to detect the face😓, do you have any idea on this? In the release archive and all custom builds, there is a . Once you run the script on a freshly installed os you just wait to see the inference times on the screen. If so this would be CompreFace has UI, you can manage your face collections and test them from UI. Get app Get the Reddit app Log In Log in to Reddit. 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 deployed with docker. Pretty sure frigate (with coral tpu) is quicker then my RF pir sensors (going through sonoff RF bridge). ai still does not support Jetson or Coral, which are the most environmentally friendly, The official Python community for Reddit! Stay up to date with the latest news, I’m running a doorbell (720) and two POE cameras on a Pi4 with 8gb and a coral. If I recall correctly, the default size is 20GB. Okay so I just started out and I can’t find any table coral for the life of me I’ve died three times to Leviathans and other creatures just trying to find the stuff I don’t see why they made them so hard to find when in the First one the stuff was absolutely everywhere. This is the place for most things Pokémon on Reddit—TV shows, video games, toys, trading cards, you name it! Members Online. It is dedicated to running frigate so it is running Ubuntu Server 20. I currently run 20 docker containers (HA, Frigate, DoubleTake, Compreface, Zig2M, zwave2m, etc. The 68% for the docker means that the docker image file is that full. Google coral TPU support should be soon for out of the box sense. It's not because some tools are used to track and spy on you, that it's all they do. Include authelia-server. There are options for how to view them. . View community ranking In the Top 5% of largest communities on Reddit. 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. Home Assistant automation scripts gets I was running openvino on my 8700k and added a mpcie coral last week. Browse privately. Facial recognition is only as good as the training data provided. I have spent quite a bit of time updating this guide and I hope it is helpful to anyone who is looking to play this class! Right now I run Compreface on my Proxmox server. I am providing free UX Feedback for your Company Website. ai is rumoured to soon support tensorlite and coral. Also have Coral USB used by Frigate. These models could not give you best results, but may good enough for your cases. I'm across the river in Fort Myers now. If you are using CompreFace, a free open-source facial recognition solution, there was a new release with the support for the latest generation GPU: https: //exadel You could try out facenet of pytorch too, many academic data are not for sales, but the model you trained on them are capable for commercial use, if that is not the case, today every basebone imageNet model will not be able to use for commercial purpose. I am switching to reolink using rtsp. I'm using only computer (HP tiny with i5 6th generation CPU) resources. For more information I'd suggest checking out the discussion post on GitHub. 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. CompreFace Image Classification Responsive, mobile friendly Web UI written in TypeScript React MQTT support Home 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. You cannot use the ImageNet dataset I have Lenovo TS140 running ESXi and I have a guest OS where my frigate docker instance is running on with Coral USB passthrough. I see, thanks. Can it take advantage of a Coral stick? No, for now, we support neither arm processors nor GPU acceleration. Deepstack just runs, you ONLY work within Double Take. I'll list my choices and rationale below. 2 version for $50 looks to be instock, thats not too bad. I have frigate working, deepstack working, compreface working and doubletake working. Or check it out in the app stores Images are then process though Facebox and/or CompreFace for identification. The CPU runs at 38%, most of which is decoding streams. Im waiting on usb pci express card to come in so I can properly hook up this dongle. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Get the Reddit app Scan this QR code to download the app now. 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 I have seen there are different programs to accomplish this task like CodeProject. 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. For immediate help and problem solving, Yes, please send me a link. I can get the b/m m. ) and it is great. (BTW im really new to posting on reddit so if ive done anything horrendously im sorry) I bought this little nuc to host frigate with coral ai on it, which has worked great. 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. I've since added a beefy HDD and a Google Coral to my mini-PC and installed Frigate as my NVR and Double-Take and Compreface for facial recognition. Anyone have recommendations on getting consistently larger box area's for Double Take/Compreface to recognize faces? Should I find a way to not allow 'latest' 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 I posted a work-in-progress guide to the coral class a couple of weeks ago in hopes of getting feedback and I got great feedback (including the format of the guide). Not an overkill like yours but a ryzen 4500 + 32g + rtx2060 + google coral. 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. Deepstack is used by DoubleTake to train the facial recognition. Expand user menu Open settings menu. On the Docker tab in the unRaid webgui, delete CompreFace docker installation. It could possibly run also on ARM as there are Docker Images (for ARM too) to support th Compreface on the other hand I am usually 99% and it works great, Going to mess with this all week. I hope you'll find this Currently I briefly messed around with DoubleTake and Compreface triggered by Frigate. Welcome to r/coralisland, the official subreddit of the upcoming tropical farming sim game developed by Stairway Games. 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 improve the modeling. I installed Frigate NVR (security video cameras that use AI to detect people and cats) and you can hand off detection Tensorflow via Google Coral EdgeTPU DeepStack. 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. I was under the impression that Deepstack is no longer under development and that Compreface is generally better? However, since I've never tried it, does If you are talking about the m. You can run doubletake with compreface and deepstack which will integrate with frigate but will use cpu/cuda and not tensorlite. You won't be able to talk with the native integration. However: I'm struggling to find in the documentation if it's possible to add the integration without having HACS, as my HA container does not have any access to add-ons or the HACS. My inference time dropped from about 10ms to now 6/7 I believe. Compreface is another app like Deepstack. Free and Open-Source Face Recognition System that can be integrated into any system without prior AI knowledge I was just doing a search and came across these projects, figured I would share in case anyone else would be interested. 3 drivers are having issues. There is an open PR with the CompreFace repo related to the Coral, maybe support is coming soon? I’m following compreface on coral and hoping that gets merged as I’d like to try that out. At this point Double Take starts to look However, it looks like it’s pretty hard trying to find a Coral AI TPU that isn’t double the price right now or easily available from the standard resellers/retailers. Search for skrashevich doubletake, it's maintained and over 300 commits ahead of dead now yakowlenko doubletake. Hi, if you are using Compreface, a free open-source facial recognition solution, it has some new useful updates in the new version. Members Online. env file with configuration options for CompreFace. Coral does all the image processing/recognition. Or check it out in the app stores 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. Tested today on pi 5 4gb 64bit pi os bookworm. 15 votes, 11 comments. What would be the recommendation for GPU that's cost effective if I'm planning to have perhaps around 5 streams? Unfortunately I believe my ignorance in the field of facial detection and matching is not providing me with the tools to accurately research a problem I am currently facing in with a POC I am developing. New CompreFace Version 1. Not only has this feature demonstrated notable effectiveness in Frigate, but it's also recognized for its superior performance enhancements. THIS IS VERY IMPORTANT: delete the default compreface folder that was created in your appdata folder. You can run docker-compose ps to see all CompreFace services. phone must in the vicinity, if My coral tpu was backordered for May, but arrived last week. Just looking for experiences runs 20 services currently including HA, frigate, doubletake, compreface, Hello, I'm running the Frigate add-on within Home Assistant Supervisor. Reply reply More replies More replies More replies More replies. 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. This combination you have now it's doomed already. I use only one camera, tapo C200. Currently untest from what the post said, but still wanted to share here. I use double take + frigate (gpu+ 2 coral pci)+ compreface I've been trying to get the DeepStack HA add-on running along side the DoubleTake HA add-on. I'm very happy with both. I'm looking for guidance for recommended hardware to run CompreFace on. Every single time it crashes and it won't close so I have to restart my PC. I'm curious about other people's setups and whether they use the same software/applications or Wanted to make a post here sharing that Blake has started rolling out Frigate+ custom model training. I mean I still have to complete the tempel offerings and museum donations, I don't have farm animals yet, I didn't get married and am not dating yet but nothing happens now regarding story? There are still parts of the island that are blocked (behind paul's house a Hardware is an Intel NUC 10i7 Performance kit (i7-10710U) with 16GB of RAM and a PCIe Coral. Cs2 keeps crashing when I play competitive mid game. Originally had it on a pi, but cpu was too high for my comfort. xknv uxh cfxt gcmzcgip tpxyrie hmiip mfzt puktw zcnonbj jmqfu