Compreface frigate reddit. What size resolution for frigate and double take? comments.

Compreface frigate reddit When I checked the host machine, out of 50gb, I have 1. v2. sum The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content. If I enlarge the persons face it does detect it, is there a way to change the config to recognise a face in a larger image? FYI the camera already has person detection hence I don’t need to use frigate. Initial connectivity worked but now Deep Stack has a red light under the Configuration page of Double Take. AI, CompreFace, Deepstack and others. 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. 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. Using a Frigate+ model with Frigate will detect face as a "sub label" of person. Get app Get the Reddit app Log In Log in to Reddit. 0 (2022-06-13) Features. The H265-only stream is a headache to say the least. 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 Saw the tracks from a deer in my backyard and even though I have dog enabled I didn't catch it when I definitely should have due to the area he was I had this issue while trying to passthrough to my home-assistant vm running Frigate. Frigate Fans: OpenCV, a frigate Not yet, I’m running the GPU exclusively for the facial recognition, frigate and compreface are in two separate VMs, but I’ll run then together in the future. 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. Expand user menu Open settings menu. Heres what I had to do Boot the vm using the unichip corp vendor and product id (1a6e:089a) Start Frigate and wait for it to fail to detect the tpu Check the vm settings and see if has changed from unichip corp to Google Inc (18d1:9302). I'm using the GPU ffmpeg hardware acceleration but I'm curious if there's any benefit to using it with the tensorrt detector or if I should stick to ov? I have 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 checked the media folder an 17000 images came out to 32gb. Restarted frigate and immediately noticed that my detections were much more accurate. Saw the tracks from a deer in my backyard and even though I have dog enabled I didn't catch it when I definitely should have due to the area he was I've installed the docker container and then you have to create a config file and place in one of the empty directories that the frigate container makes I've got it setup with deepstack and compreface for facial recognition and I'll use it in conjunction with home assistant VM to send alerts to certain things((on to do list still as I perfect this) Strange issue, I have Frigate, Double Task, and Deep Stack installed in HA on my RPi 4. The Frigate docker image used GPU pass-through, and it worked correctly via WSL. I also worked on a feature that is in the frigate 0. I hope you'll find this useful! Get the Reddit app Scan this QR code to download the app now. Compreface Docker with Coral TPU Support Originally my plan was to follow Everything Smart Home's videos on setting up Frigate, then Deepstack then Double Take. Running HAOS in a vm on Proxmox I played with frigate yesterday on my raspbery pi with the coral tpu. Not sure if it's worth going that route though if I'll need to source a coral USB stick as well. AI (aka Deepstack) and CompreFace was trained. Facial recognition is only as good as the training data provided. I'm running Frigate on an NUC i5 and like 10-15 more containers without Coral and I really can't complain. Everything can run inside HA supervised as add-ons. HA Supervised has frigate integrated (as Docker). It does object detection. New comments cannot be posted. The API is use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" When I look at Double Take it says "box area too small". 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, I’ve got compreface running but when I feed it snapshot images from my 4K cctv camera it doesn’t detect a face. I thought the r/selfhosted subreddit might be interested in the project I work on. My goal was to get away from commercial crappy setups and use more AI based setup running on my unRaid server. ) and it is great. I've installed the docker container and then you have to create a config file and place in one of the empty directories that the frigate container makes I've got it setup with deepstack and compreface for facial recognition and I'll use it in conjunction with home assistant VM to send alerts to certain things((on to do list still as I perfect this) 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. r/SonyAlpha. com" Plugged the model designation into my frigate. The models are basically the same between the coral and the tensorrt models as they’re trained on the same coco dataset. Hey all, I recently got double-take set up with frigate and compreface. 11 beta which lets double-take send the face info back to frigate so it will show in the events list a name if it is known. I currently run 20 docker containers (HA, Frigate, DoubleTake, Compreface, Zig2M, zwave2m, etc. r/homeassistant. When both automations begin doing what I want, I’ll merge both into one. This combination you have now it's doomed already. 0. It's working without problems after flashing a newer firmware version that was circling around somewhere on reddit ;) btw, I guess it was a typo, but the channel should be /h265Preview_01_main My Unraid NAS / Server (HA, Frigate, DoubleTake, CompreFace, etc. The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. Thanks! So a separate coral to the one used for Frigate object detection if I understand the linked thread correctly? I do have a usb one so could try but not sure how to pass it to Compreface unless it have missed something in the config. I'm not I've built the logic that connects Frigate face detection to Compreface and ProjectAI myself using Nodered and MQTT (triggered by frigate/events and the JSON event structure). I really love Frigate combined with it's Home Assistant capabilities. output stream in a way to feed into plex / jellyfin audio to play in gui when viewing face detection(I saw doubletake and compreface) 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. ) Yes, the video is quite laggy. I was able to setup Frigate but when I went to install Deepstack, their github does not look like it has been updated in 2 years. I'll list my choices and rationale below. It was now detecting people with a 95 to 99% probability. jpg and latest. However: Double-Take: CodeProject. In my case, I chose compreface and it used barely any resources. I have frigate/double take/compreface setup. true. Frigate is my NVR and handles the object detection. Your camera's should be able to stream to both your hikvision NVR and frigate. 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 facial recognition? What size resolution for frigate and double take? comments. Frigate needs a gui to configure cameras. Is Deepstack still being maintained. Sponsored by Bright Data Dataset Marketplace - Power AI and LLMs with Endless Web Data. j'ai constaté que les gens utilisent couramment Deepstack ou Compreface pour la reconnaissance faciale. as I read here every now and then, I'm not the only one struggling with integrating 8MP Cams from reolink into Frigate and HA. Initially I had 2 people trained with about 10 pics each. You have made it possible to have something of awesome quality FREE and allow others to be apart to help build something so grand. I have them both installed as add Double-Take: CodeProject. I tried BlueIris a few months ago and if i remember right it needed waaaay more resources than Frigate. 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? I tested frigate in a virtual box VM and got it working. Get the Reddit app Scan this QR code to download the app now. Only different will be model size, inference time, and accuracy but frigate doesn’t benefit from larger models unlike other applications might. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). That would make the app much better. I run CompreFace on a very old Mac with little to no issues. I used to have it on a separate Intel Nuc (along with Frigate) with HA running on a Pi4, but recently switched to an Intel 6th Gen laptop and now have HA, Frigate, Compreface and Doubletake running on the 1 box. api: opencv preprocess face check ; aws rekognition support ; When the frigate/events topic is updated the API begins to process the snapshot. What I'm looking for if possible. I’ve got Doubletake, Compreface and Frigate all humming now. To start messing around with face recognition I installed double take and compreface in dockers on it's own VM. Reddit's most popular camera brand-specific subreddit! We Double-Take is pulling events from Frigate and passing them to CompreFace, which is matching them (or not) correctly, and they are mostly correctly identified in Double-Take. , 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 118 votes, 23 comments. That being said, many cameras (wyze, yi-hack, reolink to a certain extent, etc) are cheap and don't have a proper implementation of their protocols which causes all kinds of problems. Now moving to hardware and thought it would be pretty easy since I have known good configs 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'm curious whether you all have similar issues, and how you might deal with them. The Frigate docker image used GPU pass-through, Compreface Docker with Coral TPU Support. I have frigate up and running extremely well, detections are mostly accurate. 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. Locked post. I have a feeling that my pc can not run it, What I find is that the images from 'latest' tend to have the smallest box area size, maybe because it's the entire frame? 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 facial recognition? Or just use 'snapshot' or 'mqtt'? thanks u/Bruceflix and u/rusochester - Doubletake is working great and was super easy to set up. I use only one camera, tapo C200. Basically, if it works with ffmpeg it works with frigate. These images are passed from the API to the configured detector(s) until a match is found that meets the configured requirements. S. Double-take and Frigate - Frigate passes the scanned faces to a locally installed copy of double-take and compares against the training pictures you've fed it. 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 Hello. com Open. There's an addon called Double Take that seamlessly integrates mqtt, Frigate and face recognition engine. I know Frigate seems to start recording after an event and slightly before, which I'm guessing is a buffer happening. You can then feed your image into a third party face recognition solution like Double Take, which then feeds back the detected name into Frigate as a sub label. As Frigate won't transcode anything without some more work, you'd end up with h265 clips you can't view in HA Browser or Android App. So i was highly recommended to use Frigate for my NVR setup on the security system im planning to install on my new home. Because I don't, I use the Frigate live view card (from Frigate integration), and set the provider to "go2rtc". Best setting in Hello, I'm running the Frigate add-on within Home Assistant Supervisor. If you want to scrub through timelines or things like that, you may find it a bit lacking. However, as an NVR its pretty basic. Case: Fractal Define R5 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. My setup is an HP EliteDesk 800 G4 DM Core i5-8500T 2. Hello everyone. On the two outside cameras in areas where a person would be detected it like 71 or 73% probability. CompreFace - Free and open-source face recognition system from Exadel Weblink / Article github. Or check it out in the app stores I've recently moved my Frigate instance to an old PC that I have around which has a GTX 970. com find submissions from "example. I've switched back and forth between CP and CF tweaking the config trying to get the Hello everyone. For submission rules and information about pens for your device see the sidebar or "about" tab 🖊 stylus reddit - news and discussion about I have a reolink camera that I have been using though Frigate with the Frigate card in HA for the past few months. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). yaml and edited my minimum and threshold for objects. The only missing functionality for me is to update th event sub_labels back to Frigate. So the next step for me is setting up facial recognition since Frigate doesn't natively do this. View community ranking In the Top 20% of largest communities on Reddit. Case: Fractal Define R5 MotherBoard: Asus B550 mATX CPU: Ryzen 5700G Get app Get the Reddit app Log In Log in to Reddit. In my use case, I'm even using Compreface for facial recognition The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, Get the Reddit app Scan this QR code to download the app now. It works with deepstack, compreface, facebox, and rekognition. But compreface is much more accurate than deepstack. CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. View community ranking In the Top 20% of largest communities on Reddit [Info] GPU TensorRT Info (When using WSL / Windows) I was running Frigate in WSL on Windows Server 2019. I use Frigate, CompreFace, and Double Take to process all of my camera's RTSP streams around the house. I just noticed the cameras on my frigate weren't working. 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. I got Frigate running on Unraid and have it connected to Home Assistant which is in a VM on my Unraid. 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 It primarily interfaces with frigate so when someone comes to your door it will detect them and let you know if it is a known person or not. It’s available via the double take repo I've recently moved my Frigate instance to an old PC that I have around which has a GTX 970. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; 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. AWESOME JOB TO ALL CONTRIBUTORS!!! Just wanted to take the time and say great job to all the contributors to Frigate NVR. frigate. Reply reply SeraphTM I have Frigate and Doubletake running on my Unifi doorbell. From a PIR sensor or from the cameras' ONVIF stream). If you haven't seen the Frigate+ docs, check them out: https://docs. update_sub_labels: true # frigate 0. Après quelques recherches, j'ai constaté que les gens utilisent couramment Deepstack ou Compreface pour la reconnaissance faciale. 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. And I have enabled webrtc as far as I know, Frigate documents are like rabbit hole! 🤣 Do I need to use special card? Like Alex WebRTC card. This to me is sort of important for a security standpoint. For immediate help and problem solving, please join us Now. Accuracy was pretty good, but more importantly there were no false positives. You can then trigger automations based on recognized faces and such. Any help would be greatly Frigate doesn't do facial recognition. If it wasn't one of the 2 trained people, it popped as unknown. I'd start by setting up View community ranking In the Top 20% of largest communities on Reddit. AI(Deepstack) vs CompreFace. Configuring integration in Home Assistant without HACS? I run HA as a container on Unraid. Also have Coral USB used Je mets en place la Sainte Trinité de la sécurité de la maison intelligente composée de Hass + Frigate + U_Jakowenko Double Take. Double take isn't accurate or is, it's just an interface between frigate and face recognition software. Welcome to the subreddit of America’s newest wireless network! Dish Wireless is the fourth largest wireless carrier in the U. I run Frigate on an Intel NUC i5 with a coral accelerator. 2 coral to come back in stock) - it's working well so far. We ask that you please take a minute to read through the rules and check out the When the frigate/events topic is updated the API begins to process the snapshot. I still use blue iris alongside frigate, with blueiris being my 24/7 NVR and frigate for everything else. video/plus/ Edited to add: Confirmed that it works. Either way, you can just try it. I have frigate set up on another machine and accessible on the network (waiting for an M. Frigate seems very cool but I have been spoiled by the easy setup of blueiris and I dont think I can switch over. We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. However, inference times with the default model were around 130ms (which 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. Strange issue, I have Frigate, Double Task, and Deep Stack installed in HA on my RPi 4. jpg So the title pretty much explains it all. At the moment I have frigate in one stack, and double-take and compreface in another, and I've migrated everything to the standard agent. 4% free space left. Or check it out in the app stores   Is the N100 good for Frigate using Deep stack and other facial/object recognition services? 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 I've built the logic that connects Frigate face detection to Compreface and ProjectAI myself using Nodered and MQTT (triggered by frigate/events and the JSON event structure). I have frigate working, deepstack working, compreface working and doubletake working. I use frigate, compreface and double take Reply reply More replies. For now, I'm happy with what frigate does for me, I just wish I could at least flag false positives - which locally train the model (a towel had a higher confidence rating than my own face in a few snapshots), and so much for shadows no longer triggering person detection I have a k620 and beside the obvious plex transcoding, I also used it for Frigate NVR to decode camera stream; Compreface for facial recognition; photoprism video files transcode. I have 6 cores attributed to HA VM, 6 cores and 4GB RAM to Frigate, and 6 cores and 8Gb RAM to Compreface. It took a couple tweaks of the config files for Doubletake and Frigate, and also required spinning up a new face recognition service for Compreface (the demo is trained on celebrities forsome reason?). 12. Come and join us today! Members Online. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, 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. These images are passed from the API to the configured detector(s) until a match is found that meets the Given the decent performance of OTHER acceleration options however including the intel and nvidea ones in frigate it might be possible to free up the coral for compreface and have frigate I've been using Frigate + CompreFace + Node-Red to achieve this, but my Node-Red flow became pretty complicated and hard to maintain, so I decided to move my logic to a local API, which I containerized. It has been working okay, but the stream never worked, it was only still images updated every second and only at the low resolution. I have seen there are different programs to accomplish this task like CodeProject. Plugged the model designation into my frigate. I'm not sure who's doing the rejection Compreface, Double Take, or Frigate. 0 was just released which features a lot of improvements, including a fresh new frontend interface This is a great enhancement but Frigate devs flat out refuse to implement external triggers (eg. But I'm currently trying to add facial recognition via double-take and compreface. I'd recommend you to use compreface instead of deepstack, as its not maintained. I got it working and training with frigate. Frigate uses FFMPEG and then you can offload the image processing with a coral edge tpu. 1. I get 4 times more recognitions with deepstack than with compreface. Their objection being that Frigate's decoding can't be started and stopped on demand and it must run detection all the time. One capability I'd like to add is to be able to easily browse through unknown faces and potentially train for them (with names). Or check it out in the app stores Are there any step by step guides to set up coral tpu with frigate for face detection? I containerized an API which subscribes to Frigates MQTT topic and then takes images from the API and passes them to compreface or facebox for facial View community ranking In the Top 20% of largest communities on Reddit [Info] GPU I just wanted to take a moment to share some info that I recently discovered. Originally, I was running Frigate in WSL on Windows Server 2019. I'm using only computer (HP tiny with i5 6th generation CPU) resources. jpg images from Frigate's API. Amy camera that supports RTSP, http-flv, etc is technically compatible. use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. 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. In many instances its not possible for me to mask. I run Unraid OS in a NAS that I built myself. Reply reply Frigate, on the other hand, will apply object detection on a subset of the frame where it has detected motion, which mostly eliminates that problem. Viseron is a self-hosted NVR deployed via Docker, which utilizes machine learning to detect objects and start recordings. 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. Then I have a Debian VM that hosts Home assistant Supervised. I've got compreface running on my frigate server, and used the Homeassistant integration for Doubletake. Reply reply More replies Top 1% Rank by size I've been fiddling and trying to tweak double-take and Frigate and I've noticed that I'm not getting a lot of images into double-take for it to run Skip to main content Open menu Open navigation Go to Reddit Home Showing CodeProject. 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. 11+ option to include names in frigate events labels: - person stop_on_match: false attempts: # number of times double take will request a frigate latest. Double-take automation . . I use compreface. With that said you can run double-take along side frigate for facial recognition. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Get the Reddit app Scan this QR code to download the app now. I created Double Take to pull images from Frigate to then process them for facial detection using (DeepStack, CompreFace, and/or Facebox). 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 Learn how Double Take, Deepstack, Frigate, and CompreFace work together to streamline facial recognition technology and enhance security and automation in your home. I hope you'll find this useful! I do have have Frigate exposed behind Authelia/nginx for remote access, but Unifi is just easier for her. 1 - SSD 480 GB - 32GB, with Proxmox installed, HA in VM and Double Take as addon, Frigate in LXC 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. AI(Deepstack) vs CompreFace So I've been using DT for a long time now. And I don't know who's or which settings to change to fix this problem. To improve the chances of finding a match, the processing of the images will repeat until the amount of retries is exhausted or a I currently run 20 docker containers (HA, Frigate, DoubleTake, Compreface, Zig2M, zwave2m, etc. However, Frigate NVR has been detecting as it should, but, it would seem that the detectors are not detecting or maybe /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation I bought this little nuc to host frigate with coral ai on it, which has worked great. frigate and coral incorrect identifications Hi all, I have my coral and frigate setup - whilst it does a pretty good job with ID'ing things it does have issues with certain things. View community ranking In the Top 1% of largest communities on Reddit. I got it working, but dont think a pi4 is the right tool for it. It'll obviously depend on your cameras' resolution though. cnghaw zfr gjyuiy azbtp qzzhjsn hmfd gidgzh hdva jssfcwl sxsdx