Compreface frigate reddit

 

Frigate NVR 0. Compreface is another app like Deepstack. Then delete the volume, e. Firstly, it simplifies the complexities of different facial recognition software, providing users with an easy-to-use interface. jpg images from Frigate for that event ID and also process the latest. CPU: Ryzen 5700G. required. Furthermore, Double Take can publish its results to sensors via r/frigate_nvr Lounge. 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. using Frigate as NVR to detect persons. Today I installed a server monitoring tool which flagged that Frigate is using a high number of threads. It works with deepstack, compreface, facebox, and rekognition. The detector double take support: CompreFace v0. Looks like all the detectors doubletake uses (deepstack, compreface, etc) don’t support the coral devices as of yet, which makes me a sad panda 🥺😂 Jul 13, 2021 · In this episode, we talk with AI expert Serhii Pospielov. Initially I had 2 people trained with about 10 pics each. Frigate is able to use a much lower resolution because detection something large like a person doesn’t require many pixels. jpg and latest. Oct 9, 2021 · I am having issues where the CPU usage rockets sky high after running compreface for a few hours. If your using Nvidia GPU, you have to make sure your using Cuda 12. The previous days I've managed to setup Frigate on my Proxmox with shared iGPU (Raptor Lake CPU) as LXC with the Coral Coral USB Edge TPU, and having for now a 1 Hikvision 4MP camera. Not at all. 01 Facebox Frigate worked great when I used it, but Agent DVR works better and was an easier setup. That training needs to include at least 10 images but can include as many images as you want with as many labeled examples as you want, but the more images the better the results. In this article, we will explore the capabilities of Frigate and Double Take, specifically focusing on Double Take's unified API for training and I set up a Reolink WiFi Doorbell with Frigate last night and the video feeds seem to be working well. 04 with frigate, compreface and doubletake in docker, that's it. Response body on success: { "subject": "<subject_name>" } The API is exposed with a POST method /recognize which expects the MQTT frigate/events JSON as the payload. Does double-take work on top of Frigate's object detection? My understanding is that Frigate does its thing, detecting objects, and when it detects an object of the "person" kind this is forwarded to Deepstack (or whatever) for facial detection. I found some guides on how to install opencv in a docker but I didn't see how the Double Take config points to the opencv installation, it just asks to use it or not. I've ended up with a brand new Quadro P620. It is possible to change the gender of a trained person ? Mar 22, 2023 · Hello everyone. So it's looking at two images at once and looping that process until the threshold is met or a match is found. I heard compreface has other models so I wanted to try Arc. Last night I integrated my ring doorbell into frigate to face id me and disarm alarmo, TTS, etc when a bunch of criteria is met. Cards need to be low profile, not full height. I run Unraid OS in a NAS that I built myself. I have 6 cores attributed to HA VM, 6 cores and 4GB RAM to Frigate, and 6 cores and 8Gb RAM to Compreface. The built in graphics also works great for hardware acceleration in frigate. I’ve been using home assistant for some time now and have many integrations setup, along with about 40-50 zigbee devices (Deconz with Conbee 2 stick) and roughly 50 zwave devices (aeotec stick). . The reason for those cards is that my case can only fit a single slot low profile card. I'd recommend you to use compreface instead of deepstack, as its not maintained. Codeproject. • 7 mo. Après quelques recherches, j'ai constaté que les gens utilisent couramment Deepstack ou Compreface pour la reconnaissance faciale. 2 coral to come back in stock) - it's working well so far. But I'm currently trying to add facial recognition via double-take and compreface. The credentials are simple, Url & Key. Frigate is a network video recorder that has build in object detection. Powered by a worldwide community of tinkerers and DIY enthusiasts. After a considerable amount of time, I have successfully installed several UniFi cameras around my house, and I am now ready to delve into object and facial recognition fully. View community ranking In the Top 20% of largest communities on Reddit AWESOME JOB TO ALL CONTRIBUTORS!!! Just wanted to take the time and say great job to all the contributors to Frigate NVR. 01. 1 - SSD 480 GB - 32GB, with Proxmox installed, HA in VM and Double Take as addon, Frigate in LXC container, and Compreface in LXC container. Reddit iOS Reddit Android Reddit Premium About Reddit Advertise Blog Careers Press. I have been examining the logbook, and it seems that it takes a while for Frigate to notice that someone has walked into the frame. Pedroxns. My objective: I do not want to get security notifications then I am the one on camera. However, the WebRTC feed has badly garbled audio (recordings are perfect). : r/homeassistant. Perfect to run on a Raspberry Pi or a local server. For release and pre-build images, it should be set to exadel/ value. There's also Compreface as an alternative to Deepstack, it's smaller in size and can work with the GPU and I've also had better success with detection if that's what you want to use it for. The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. Images are then processed though Facebox and/or CompreFace for identification. env file with configuration options for CompreFace. Go to frigate_nvr vs CompreFace. It may be "overkill" if just using it for frigate, I use my GPU for CompreFace Face detection and that model alone is 4GB in RAM so 8GB is perfect for my usage. I have min_area for matches set to 2250 and Sort by: Search Comments. When the container starts it subscribes to Frigate’s MQTT events topic and looks for events that contain a person. Limitation is that my computer is an HP 800 G3 Small Form Factor, which has 1 PCIE 3 x16 slot (already occupied) and 1 PCIE 3 x16 (only x4 electrical) slot, as well as several PCIE 3 x1 slots. Template is the GPU arcface 1. Wow Wyze cam v3 RTSP finally supports RTSP! Interested to see the responses here so I can get into this project. I’d highly suggest enabling frigate_sub_labels so frigate gets the detections. Going to need all 3 for a full solution. So you need to connect both doubletake and HA (if you haven't already) to an MQTT broker and the sensors will populate there. I'm not very good with YAML but cannot figure this out on the gui. The API is exposed with a POST method /recognize which expects the MQTT frigate/events JSON as the payload. Quite consistently it will pick out this car wheel as a face - either ignoring the actual face in the image, or when the image has no face at all. Install is relatively fresh since my former SSD died. I containerized an API which supports passing and training images for both compreface and facebox. Home Assistant is open source home automation that puts local control and privacy first. You know, similarly to person, car… Let’s say the DHL truck pulls up to your house, it would be great with a DHL notification. I've been running Frigate in docker for a long time and it's amazing. Do I have to force video transcoding to get the audio to sync correctly? If so, how? Easily integrate facial recognition into any system without prior machine learning skills with CompreFace — a free and open-source service. I tried changing ports and adding the new socket into the configuration, which I was thinking that I could potentially migrate all these services to the laptop. I'd keep the docker-compose script or dockerfile that you used to set up the container and just make a new one to grab the latest . io. I just discovered Frigate. With that said you can run double-take along side frigate for facial recognition. Based on cpu benchmarks the much newer n100 is comparable with the mobile 8th gen i5, so in this comparison the 4th generation i5 wil very likelyl be slower and less power efficient than the n100. I have been playing with Shinobi, Zoneminder, and want to play with Frigate. 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 DeepStack (dead?) vs CompreFace (slow?) I installed Frigate NVR (security video cameras that use AI to detect people and cats) and you can hand off detection (images/footage) to another AI model trained to recognize your face (or really anything you want). I couldn't Hey all, I recently got double-take set up with frigate and compreface. 📢 Introduction to Frigate and Double Take Facial recognition technology has gained significant attention due to its various applications, including security, access control, and identification. The edge agent is designed for environments that are remote to your main portainer instance. The output from the API is an array of matching faces, which I then process through Node-Red to update the location for the matching users in Home Assistant. You can see from the image attached the CPU usage spike until i stop the compreface container, usage goes up to around 90%. first, this is my first application running 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 a feeling that my pc can not run it, can someone advise? 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. Yes, i've enabled the passthrough to use the gpu inside this VM, if you plan to only use this gpu for hardware aceleration inside frigate thats ok, but compreface ( and i bvelieve that every other facial recognition systems) makes use of CUDA cores, so you'll need a nvidia gpu. 0. The solution is to feed frigate a low res stream for object detection, and set the resolution on the cropped snapshots used by compreface as high as possible. It is dedicated to running frigate so it is running Ubuntu Server 20. Frigate will also present good data in its MQTT What's everybody using nowadays. Reply. So the questions: Welcome to the unofficial Elementor subreddit, the number one place on Reddit to discuss Elementor the live page builder for WordPress. Proxmox = 👍. 5. CompreFace never assigning face as unknown? I have frigate/double take/compreface setup. Award. Hi I wondered I have 11 cameras each camera using 80-150mb for decoding GTX 760 2GB for example should be the great option? I used 1070 8GB And now…. Any help would be greatly appreciated. Frigate is my NVR and handles the object detection. Originally, I was running Frigate in WSL on Windows Server 2019. Agent vs edge agent is going to be entirely dependent on what your environment looks like. jrhenk. Understandably, you can’t identify all logotypes, but some of the most common ones. I think it gets ignored a lot because iSpy is commercial software, but if you don't use their cloud, you can set up a pretty nice NVR for free with the "Agent NVR" software. Serhii is the Exadel AI Practice lead and the CompreFace project manager, and he provides a more de If you want to clear CompreFace installation, first stop it with docker-compose stop. I could not get the main stream to display in HA, unless I changed the detect role ro the main camera. 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. I'm using doubletake for face matching. Jun 13, 2022 · I’m still really happy with CompreFace, but it’s been cool to run it alongside a paid service to see how the two compare. Zoneminder's object detection add-on provided a way to do facial recognition (a directory with known_faces images and their associated Hi there, Compreface is accessed via via DoubleTake. • 1 yr. I checked the media folder an 17000 images came out to 32gb. Hello! I have Frigate configured and working fine (it’s working fine also with compreface and double take), I receive notifications through telegram, and I have two automations (one for snapshots and other for clips) notifying me through telegram when someone enters my surveilled space. S. Thanks for letting me know DoubleTake, this is the first time I seen it, it's a wrapper between HA/Frigate and detectors. I recently switched to png snapshots thinking that would be better for doubletake/compre. 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. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). Before I was using Frigate I briefly used Agent NVR and I was actually surprised by how well it worked. Did you get any positive results with Compreface and Home assistant? Im looking to integrate it directly on the system via image_processing entities, without any other addons like Frigate/Double take, but I can't find nothing about it. For production systems, we recommend looking through them and set up CompreFace accordingly. It supports 4 detectors. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. Does Facial Recognition work? I talk through my experience using Double-Take, Deepstack, and CompreFace with the Frigate NVR. Available for free at home-assistant. Initial connectivity worked but now Deep Stack has a red light under the Configuration page of Double Take. These images No, Addon or not, doubletake communicates with HA via MQTT. 3 Cuda driver issues. I'm using double take with frigate and compreface. Deepstack is used by DoubleTake to train the facial recognition. api: opencv preprocess face check ; aws rekognition support ; detectors: process images from specific cameras ; frigate: sort sub labels alphabetically #217 Apr 25, 2022 · Ive happily got Frigate, Double Take and Deepstack working and Im able to trigger things, but Im not happy with deep stack and want to use Compreface. Currently with everything I have running my CPU sits at 40C and 10% usage with the iGPU at 10% as well. It does object detection. Use this subreddit to ask questions, show off your Elementor creations, and meet other Elementor enthusiasts. Most of my docs show how it works using Frigate, but it also supports passing a URL to an image via the REST api for detection. 0 (2022-06-13) Features. I'd start there to manage facial recognition. Now I got my coral I also added deepstack, compreface and double take. Planning out Frigate setup: Need advice on a few things So i was highly recommended to use Frigate for my NVR setup on the security system im planning to install on my new home. To update the CompreFace version or change custom build, download new docker-compose. Images are then process though Facebox and/or CompreFace for identification. DeepCamera can be one of them. Use Frigate! Considering cameras, I personally use Amcrest, but you can you reolink if you like. • 2 yr. Attached images are from Double Take and Frigate. ai is rumoured to soon support tensorlite and coral. I've been using doubletake & frigate with compreface without any problems. I have Frigate and Doubletake running on my Unifi doorbell. g. There has been some drama with the developer and allowing third-party contributions, and slowly the software has been drifting towards Nagware (pops up ever week asking for money). thank you! I ended up moving back to compreface but I'll give CP another shot when they figure out the 12. Facial recognition is only as good as the training data provided. As far as actually setting this up for security cameras, Compreface interfaces with DoubleTake which interfaces with Frigate. 0 is out 🎉 with AI acceleration on CPUs and GPU. Compreface for face detection, processing on CPU Doubletake for passing the person images to compreface, then matching names to the faces detected in compreface, extracted from the frigate persons. It can be a person name, but it can be any string. My goal was to get away from commercial crappy setups and use more AI based setup running on my unRaid server. 13 beta 2 Updated to the second beta of 0. The processing needs to be done on the Google Coral, CPUs are really bad at processing the video. My goal is to make it so that when a certain face is recognized (and other security factors are considered, I know photos can fool it) the door will unlock. docker volume rm compreface_061_postgres-data. Je mets en place la Sainte Trinité de la sécurité de la maison intelligente composée de Hass + Frigate + U_Jakowenko Double Take. MotherBoard: Asus B550 mATX. Also have Coral USB used by Frigate. Apparently 12. Strange issue, I have Frigate, Double Task, and Deep Stack installed in HA on my RPi 4. For those running Frigate and related services via Docker, are you putting them I used DeepStack first and found it underwhelming, I used 50 high resolution photos and the score given to me was always ~80 and never higher. Mar 17, 2021 · Double Take is a proxy between Frigate and any of the facial detection projects listed above. 4 54. Additionally, it supports home automation platforms like Home Assistant, allowing for seamless integration. When both automations begin doing what I want, I’ll merge both into one. Can you help me getting it to only do it between a certain time? And also being able to define which kind of objects (like for example only sending the notification if it's a person and not a dog. I didn't not pay for this software to miss out on accurate hot dog notifications. Truenas. And it rocks. nickm_27. I have been using Frigates beta and RC for some time now and few days ago they launched a stable version. It has been working okay, but the stream never worked, it was only still images updated every second and only at the low resolution. Facial recognition takes a ton of pixels however. I actually ONLY run on latest and MQTT with MQTT being the full frame as I found the cropping leads to inconsistent sizes which makes filtering more difficult. You will want to use the one with the tag 12_2. Running this command shows that there's 950 threads running: docker stats --no-stream --format '{{. u/aa36f672-d62f-41fd. When I look at Double Take it says "box area too small". This is pure frigate, without homeassistant integration, which is the go-to recommendation as it integrates in to its phone app. On the frigate PC I have a Google Coral USB. Name}}' | sort -nr api key of the Face recognition service, created by the user. 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 If you go into the container details for your container and click the "recreate" button, then select "pull latest image" and then click "recreate" it should recreate the container with the latest version from github. Scores for unknown people was ~70 so really not much room to work with. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Can frigate share video card ? I have compreface installed which uses the GTX 1050 Ti , GeForce GTX 1050 Ti 4GT LP. Then I have a Debian VM that hosts Home assistant Supervised. Add a Comment. I also thought that the older files would be pruned automatically. Welcome to the subreddit of America’s newest wireless network! Dish Wireless is the fourth largest wireless carrier in the U. CompreFace can be applied to any field, such as security, advertising, marketing, attendance, VIP Frigate Video Decode Card Recommendations. Use for Quadro GPU. CompreFace: Free and open-source face recognition system from Exadel. Archived post. I tried codeproject and their TPU module but it wouldn't recognise my second (unused) usb coral. body param. PIDs}}\\t{{. I was thinking about if you get Frigate to identify logotypes as objects. Not only has this feature demonstrated notable effectiveness in Frigate, but it's also recognized for its superior performance enhancements. Not a docker but blue iris in a windows VM has been rock solid for me for years. Then run CompreFace again docker-compose up -d. I'm trying to find out, how the Coral Edge TPU model or Frigate is trained, or how I can train it with from camera's snapshots. I have frigate up and running extremely well, detections are mostly accurate. Compreface tag a man to a female I imported some photos of this man into the subject (train) folder but Compreface tag him as a female . This one is more Hardware is an Intel NUC 10i7 Performance kit (i7-10710U) with 16GB of RAM and a PCIe Coral. So close yet so far, Frigate. Hello, I'm running the Frigate add-on within Home Assistant Supervisor. 0 Amazon Rekognition DeepStack v2021. HA Supervised has frigate integrated (as Docker). retropolitic. I'm not sure who's doing the rejection Compreface, Double Take, or Frigate. Can frigate use this card while compreface uses it? Or can frigate even use this card at all? 1. I've now added another 5 people, also with 10 pics each Like it explains in the discussion and the linked documentation, a training credit is for one model training. I just noticed the cameras on my frigate weren't working. For the 0. using Compreface in docker to detect specific person using face detection. I’m sure you’re next thought would be, “hey I can add facial recognition and have it use the coral” and that would be a hard nope. Sooo, strange one I guess. registry - this is the docker hub registry. is the name of the subject. Frigate is virtualized, so passing through CPU graphics isn't really practical. 2 repository. RAM: Currently at 32GB of 3600 mgtps RAM and can expand that with 2 more sticks to 64GB which I will likely do at Jan 9, 2022 · Let's Discuss. I created Double Take to pull images from Frigate to then process them for facial detection using (DeepStack, CompreFace, and/or Facebox). I’m guessing this has something to do with opus transcoding. When a Frigate event is received the API begins to process the snapshot. Its integration with CompreFace would supercharge face recognition capabilities, accelerating processing times. Other factors: the n100 will also use faster memory and the i5 might not have usb3. I have a Dahua NVR with 8 cameras, all of I just wanted to take a moment to share some info that I recently discovered. Perhaps something to suggest to Frigate? The API is exposed with a POST method /recognize which expects the MQTT frigate/events JSON as the payload. Lots of room to expand in the future. However, inference times with the default model were around 130ms (which is not really that bad, however not great). 12. Now. I guess you can say Frigate has improved the WAF of my HomeAssistant set-up. • 10 mo. The webgui is good on the phone too, and mqtt and ntfy take care of notifications that camera apps are all about. In the release archive and all custom builds, there is a . postgres_username - username Hi everyone, I was able to install frigate and add an automation for frigate to send me a notification everytime he detects an object. 0-1. A place for members of r/frigate_nvr to chat with each other. I am a bit of an AMD fanboy as it is more power efficient and creates less heat. string. HomeAssistant running on RPi4 (8GB) using double take as UI. Running frigate, my torrent service, my emby media server and a lot more inside the OS as add-ons. If we only had the option to download/view the clip. D34DC3N73R. 14 Beta (which is amazing), I find the /plus page to be better than the /review page for taking a Inconsistent connectivity to deep stack with Frigate + Double Take. 13 and frigate card broke 😭 have tried rebooting reloading and deleting and free downloading the frigate card integration. Double Take offers several notable features. Double take isn't accurate or is, it's just an interface between frigate and face recognition software. I've tried to install compreface, but keep hitting problem depending on how I install the docker. yml and . 2. Frigate for person detection utilising Coral TPU. Basically, it can only be used with Frigate. Shinobi started out with great aspirations, but the execution has been hit-or-miss. Incorporating Google Coral TPU support in CompreFace would be a game-changing move. 3 drivers are having issues. I have them both installed as add-ons in HAOS, but i'm not getting anything into my matches section in the double-take UI 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. jpg images from that camera feed. 1. No settings to really change (that I can tell) in 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. , 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. If it wasn't one of the 2 trained people, it popped as unknown. When I checked the host machine, out of 50gb, I have 1. Just keep in mind that you’ll probably spend twice the amount. If you want nighttime camera detection without smearing, avoid reolink and spend the big bucks on a brand that works better at night. You can even use both at the same time. The Frigate docker image used GPU pass-through, and it worked correctly via WSL. 4% free space left. By default, Frigate uses some demo ML models from Google that aren't built for production use cases, and you need the paid version of Frigate ($5/month) to get access to better models, which ends up more expensive than Blue Iris. 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 The way my current API works is that when a Frigate event is POSTed to it, it will process up to X number of snapshot. You may also need Double-take addon to get the most use from both Deepstack and Compreface. 14: The Frigate+ page is better than the /review page. 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. Accuracy was pretty good, but more importantly there were no false positives. Case: Fractal Define R5. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). jpg images from Frigate’s API. And I don't know who's or which settings to change to fix this problem. So unRaid server runs a intel 10100 for mainly plex I have a reolink camera that I have been using though Frigate with the Frigate card in HA for the past few months. I use Frigate, CompreFace, and Double Take to process all of my camera's RTSP streams around the house. This is the fully-local and free-to-use version of "iSpy". You can run doubletake with compreface and deepstack which will integrate with frigate but will use cpu/cuda and not tensorlite. Cameras are 4 Reolink RLC-810A, all running on 2560x1440p First off make sure that you have configured doubletake image height to 720, I found it scales the images down by default which causes issues. 2 and earlier. I currently run 20 docker containers (HA, Frigate, DoubleTake, Compreface, Zig2M, zwave2m, etc. Double Take says it can use opencv, but my noobish brain hasn't wrapped around what opencv does for double take or compreface. 4. CodeProject AI has better models out-of-the-box. ago. I'm new to Frigate NVR. ) and it is great. • 4 hr. Deepstack just runs, you ONLY work within Double Take. 1-2022. Frigate doesn't do facial recognition. View community ranking In the Top 20% of largest communities on Reddit Frigate card and 0. But I wanted to try it cleanly at first. 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. The only drawback on Agent DVR is remote access, which I don't use, and instead feed it to Home Assistant and have the companion app for notifications. I'm trying to create an automation that the trigger is when I arrive at my home and double-take recognizes my face is above 85% certainty on my doorbell camera and the action is that my door unlocks. env files. I enabled the "hot dog" object and it frequently flags the wreath on my front door. I mainly use it as a data storage and Plex media server, but recently, I started playing around with face detection. My setup is an HP EliteDesk 800 G4 DM Core i5-8500T 2. I have frigate set up on another machine and accessible on the network (waiting for an M. 0. 02. If you find it useful, I can include more info about that in the docs. This combination you have now it's doomed already. I tend to group services that are tightly coupled into a single stack. subject. xf ti bg or vv ed ht rg bn rq