Compreface frigate reddit

Compreface frigate reddit. 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. I’m just confused with one thing: the Cameras menu. I've got compreface running on my frigate server, and used the Frigate uses FFMPEG and then you can offload the image processing with a coral edge tpu. Deepstack is used by DoubleTake to train the facial recognition. The processing needs to be done on the Google Coral, CPUs are really bad at processing the video. I’ve got compreface running but when I feed it snapshot images from my 4K cctv camera it doesn’t detect a face. I am using doubletake with compreface already but would like to try facebox as an additional engine. 0 was just released which features a lot of improvements, including a fresh new frontend interface Then I have a Debian VM that hosts Home assistant Supervised. iesou • 2 yr. While it's relatively running relatively A-OK with a single RTSP stream and takes around 10% of CPU resource on the host level. For this, I have a dedicated (overkill) computer with Ryzen 7 5800H CPU and RX 6600M GPU (that will serve to other projets too). The USB Hub (for Power Meter readings) and Coral M2 (for Frigate) are passed through from Truenas to the VM/HA. If you want to scrub through timelines or things like that, you may find it a bit lacking. You can even use both at the same time. I want to switch my home automation to HA (that I test since several days with a VM). I like how birdseye expands the camera in motion, but hated not having a "video grid" live view. They all still need tweaking, but before I do that for Compreface & Double-Take, I would like to know if it can do what I would like it do I would like it so that it only records unknown people and discards events with (trained) people (family). 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. I have 6 cores attributed to HA VM, 6 cores and 4GB RAM to Frigate, and 6 cores and 8Gb RAM to Compreface. See MQTT configuration for how to set these. Home Assistant. If you want to clear CompreFace installation, first stop it with docker-compose stop. 11. If you don't use Frigate, then you can still utilize the Double Take API and pass any image to it for facial recognition 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. Still occasionally thinks the Amazon driver is me, etc. I've got Frigate, Compreface, and Double-Take working. Cameras are 4 Reolink RLC-810A, all running on 2560x1440p resolution so get a H. Double-Take: CodeProject. by tinybilbo. io. nickm_27. View community ranking. I have frigate up and running extremely well, detections are mostly accurate. fs where an SSD is used as an initial write source and files are moved to HDDs later. You can also add in your GPU for motion tracking analysis. 1. Perfect to run on a Raspberry Pi or a local server. The credentials are simple, Url & Key. Afterthat, the system redirects you to the main page. There is a workaround for 2d images, you can use video for liveness detection, e. It does object detection. 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. Gpu with more then 2GB it's over kill? GTX 760 2GB for example should be the great option? I used 1070 8GB And now 1050TI 4GB But I feel I can used 760 2GB and get same performance. 265 Stream. You need to sign up for the system and login into theaccount you've just created or use the one you already have. Compreface is another app like Deepstack. It all appears to frigate has one single volume. Frigate is a network video recorder that has build in object detection. The Frigate integration seamlessly supports the use of multiple Frigate servers. mqtt: true # add a delay expressed in seconds between each detection loop. Zoneminder's object detection add-on provided a way to do facial recognition (a directory with known_faces images and their associated names). Viseron is a self-hosted NVR deployed via Docker, which utilizes machine learning to detect objects and start recordings. 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. Maybe in conjunction with several other conditions. The roll, yaw, and pitch angles in degrees describe the response result. 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 r/frigate_nvr • 3 mo. I have the flag in doubletake for "update_sub_labels" set to true, and all services on doubletake have a green icon status. You should use clear photos of the subject at an angle similar to the Best way to install HA + Frigate on dedicated computer with GPU for decoding. Frigate should now be accessible at server_ip:5000 and you can finish the configuration using the built-in configuration editor. However, inference times with the default model were around 130ms (which is not really that bad, however not great). env files. Also have Coral USB used by Frigate. Install and run CompreFace using our Getting Startedguide . Incorporating Google Coral TPU support in CompreFace would be a game-changing move. roles: - detect. Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. This plug-in is useful for: Determining if the person is looking straight at the camera. If it wasn't one of the 2 trained people, it popped as unknown. I too use Shinobi. So it's looking at two images at once and looping that process until the threshold is met or a match is found. • 8 mo. Oct 9, 2021 · I am having issues where the CPU usage rockets sky high after running compreface for a few hours. docker volume rm compreface_061_postgres-data. The video of the driveway would fill the screen. - I think the GPU could be useful for Frigate: I have Mar 22, 2023 · Hello everyone. However, as an NVR its pretty basic. How to Use CompreFace . v2. My UnraidNAS does this for example using fuse. The paid models are updated because the pipeline of training is owned by the model distributor. 0 - Self-hosted, local only NVR and AI Computer Vision software. But right now CompreFace works only with images. 04 with frigate, compreface and doubletake in docker, that's it. Step 1. Image classification. premise 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. This needs to be the the same MQTT broker that your Frigate server is connected too as this is how it communicates with Frigate to start the facial recognition: host: mqtt_IP. Thanks! Out the gate the Frigate+ models will be rapidly improving so the changes will only be available to paid users. You don’t need prior machine learning skills to set up and use CompreFace. 2 repository. I use Frigate, CompreFace, and Double Take to process all of my camera's RTSP streams around the house. Powered by a worldwide community of tinkerers and DIY enthusiasts. When both automations begin doing what I want, I’ll merge both into one. # frigate settings (default: shown below) frigate: url: # if double take should send matches back to frigate as a sub label # NOTE: requires frigate 0. Double Take can also use multiple detectors at the same time to try to improve the results. I enabled the "hot dog" object and it frequently flags the wreath on my front door. Top 1% Rank by size. To be clear I just contribute to frigate, frigate+ is only worked on by Blake. It works with deepstack, compreface, facebox, and rekognition. Blue iris and codeproject AI with a gpu probably the way to go. Is anyone else getting the same results? I bought this little nuc to host frigate with coral ai on it, which has worked great. You can login as an existing developer though, but also there - no sign up option. Frigate doesn't do facial recognition. ago. It seems to work pretty good but I realized many of There is a truck parked across the street that never moves, day or night. CompreFace can be applied to any field, such as security, advertising, marketing, attendance, VIP So i was highly recommended to use Frigate for my NVR setup on the security system im planning to install on my new home. , 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. This is why, as I know, there is no login to any banking mobile application, except using Face Id. docker. username: mqtt-user. I have a feeling that my pc can not run it, can someone advise? Thank you! 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). # process frigate images from frigate/+/person/snapshot topics. Originally, I was running Frigate in WSL on Windows Server 2019. I guess you can say Frigate has improved the WAF of my HomeAssistant set-up. If you find it useful, I can include more info about that in the docs. 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 We're not in the UK, but she gets a kick out of it every time. Reading the docs and other people's setups seem to make it sound like a massive pain that needs to be worked around. Initially I had 2 people trained with about 10 pics each. DeepStack is not impressive. 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. Currently untest from what the post said, but still wanted to share here. Facial recognition is only as good as the training data provided. Will look into that. I want to do that same partitioning of storage for compreface and doubletake, so training I have frigate/double take/compreface setup. to check if the person blinks. AI (Deepstack) vs CompreFace. With that said you can run double-take along side frigate for facial recognition. From my testing at home I've found CompreFace and DeepStack to produce the best results, but I've also added support for Facebox. ago Cvalin21 Compreface Docker with Coral TPU Support One of the guys over at compreface on github has built compreface with coral tpu support. You can see from the image attached the CPU usage spike until i stop the compreface container, usage goes up to around 90%. Face recognition. delay: 0. I have Lenovo TS140 running ESXi and I have a guest OS where my frigate docker instance is running on with Coral USB passthrough. What the expert think about 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 That said, I will be giving frigate another try. 260K Members. My setup is an HP EliteDesk 800 G4 DM Core i5-8500T 2. I run Frigate on an Intel NUC i5 with a coral accelerator. r/ShinobiCCTV. So unRaid server runs a intel 10100 for mainly plex media use in the home. g. GPU/HW Recommendation. I'm still playing around with it and will have a coral in a week. I run CompreFace on a very old Mac with little to no issues. sum_yungai • 2 yr. Your camera's should be able to stream to both your hikvision NVR and frigate. 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). 0. This let me set up frigate to save the config in the container's built-in "volume," (so it is part of nightly backups of the LXC) and the media in a separate directory on a different drive (so video clips and images are excluded from the primary backups). image: # height of frigate image passed for facial recognition. 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. 1:554/rtsp. yml. 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) I've researched online as much I could and triple checked everything, and I can't get doubletake to add sublabels to frigate events. But I'm currently trying to add facial recognition via double-take and compreface. Shinobi started out with great aspirations, but the execution has been hit-or-miss. Its integration with CompreFace would supercharge face recognition capabilities, accelerating processing times. You can subscribe to the Frigate MQTT topic directly and the camera images are processed through Facebox and/or CompreFace when a new message is published. Feb 6, 2024 · Recently set up and testing out doing facial recognition on a Reolink doorbell that I have. I just wanted to take a moment to share some info that I recently discovered. I use frigate, compreface and double take. Currently just have been running a wyze cam v3 for a few months but planning to purchase several cams for external coverage. I'd start by setting up everything on the machines you want it on and if it's not performing well, maybe try it on the i7 then. Is there something similar in Frigate? thanks u/Bruceflix and u/rusochester - Doubletake is working great and was super easy to set up. I still use blue iris alongside frigate, with blueiris being my 24/7 NVR and frigate for everything else. Video Files are stored on dedicated drives (spinning metal, not in the VM space as its on a SSD). The Frigate docker image used GPU pass-through, and it worked correctly via WSL. The mate who recommended them warned me that h265 would be a problem. I'm getting matches of >80% and my minimum is 60%, and there are matches every 10-30 seconds. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. Viseron 2. 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. I have compreface installed which uses the GTX 1050 Ti , GeForce GTX 1050 Ti 4GT LP Can frigate use this card while compreface uses it? Or can frigate even use this card at all? Home Assistant is open source home automation that puts local control and privacy first. I heard compreface has other models so I wanted to try Arc. I have Frigate and Doubletake running on my Unifi doorbell. 264 instead of H. cameras: - FrontDoor1 - GarageDoor1 - MasterBedroom1 - Driveway1 ADMIN. Now you should be able to start Frigate by running docker compose up -d from within the folder containing docker-compose. Either way, you can just try it. 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. The new CompreFace 1. CompreFace is amazing! My system will text me with something like "Jenny the cat 98% pooped on the south lawn at 2:32am. The result was 2 long evenings messing about trying, and failing, to get various configurations to work with the http streams. 1K Online. Then delete the volume, e. It is dedicated to running frigate so it is running Ubuntu Server 20. inputs: - path: rtsp://127. jpg images from that camera feed. This increases the accuracy of facial recognition. Install is relatively fresh since my former SSD died. I created Double Take to pull images from Frigate to then process them for facial detection using (DeepStack, CompreFace, and/or Facebox). I didn't not pay for this software to miss out on accurate hot dog notifications. To update the CompreFace version or change custom build, download new docker-compose. I don't know whether it's even in running condition, but it's there 24/7. Frigate Video Decode Card Recommendations. All open source. Frigate is my NVR and handles the object detection. Template is the GPU arcface 1. 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 Welcome to the subreddit of America’s newest wireless network! Dish Wireless is the fourth largest wireless carrier in the U. So I've been using DT for a long time now. My goal was to get away from commercial crappy setups and use more AI based setup running on my unRaid server. Face Id from Apple uses 3d images, they have lots of sensors to make 3d. Still got my Blueiris pc, gpu and CPAI which is a great system. I'd start there to manage facial recognition. I have a Dahua NVR with 8 cameras, all of nickm_27. I had frigate setup running alongside blueiris before. As far as actually setting this up for security cameras, Compreface interfaces with DoubleTake which interfaces with Frigate. 0+ update_sub_labels: false # stop the processing loop if a match is found # if set to false all image attempts will be processed before determining the best match stop_on_match: true # ignore Overview. Exadel CompreFace is a free and open-source face recognition GitHub project. Home Assistant is open source home automation that puts local control and privacy first. Log In / Sign Up Hey everyone, I’m leaning to setup frigate and overall the experience has been great. Oct 10, 2022 · The pose plug-in allows you to get the face’s orientation in 3D space. I've been using doubletake & frigate with compreface without any problems. Nov 8, 2022 · When used with DoubleTake to train the facial recognition it's great. Accuracy was pretty good, but more importantly there were no false positives. Viseron has a lot of components that provide support for, among other things: Object detection (YOLOv7, DeepStack, Google Coral EdgeTPU) Motion detection. 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. Like someone could pull into the driveway and park. I have clicked around the page again and again, there's no way to sign up. Then run CompreFace again docker-compose up -d. Going to need all 3 for a full solution. You may also need Double-take addon to get the most use from both Deepstack and Compreface. com/r/bropat/compreface-core/tags The results from CompreFace seem to be better and also quicker! I containerized my code if anyone else is interested in trying it out. 798 Online. Available for free at home-assistant. Face recognition still has a long way to go, but compreface has been the most accurate for me. HA Supervised has frigate integrated (as Docker). 267K Members. jpg images from Frigate for that event ID and also process the latest. Ive had no issues, i have two 4k streams continuously recording to my truenas for recording and two low res streams for detection. Computer Vision. Step 2. 0 was just released which features a lot of improvements, including a fresh new frontend interface. Get app Get the Reddit app Log In Log in to Reddit. My stack looks like: Home Assistant - UI Frigate - DRV DoubleTake - Train/personalize AI CompreFace - facial Hi everyone, I was able to install frigate and add an automation for frigate to send me a notification everytime he detects an object. When I enter it they aren’t streaming, they seem to update once in a while but I don’t understand if there’s some logic behind and what options I may have. yml and . I've switched back and forth between CP and CF tweaking the config trying to get the most accuracy on facial recognition. 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. My objective: I do not want to get security notifications then I am the one on camera. . I use that like some people use a window. Step 3. • 18 days ago. Deepstack just runs, you ONLY work within Double Take. I have been playing with Shinobi, Zoneminder, and want to play with Frigate. This community is home to the academics and engineers both advancing and applying this interdisciplinary field, with backgrounds in computer science, machine learning I tried the same a few days ago, with the same result. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Definitely do not recommend using it for that alone. At the moment, and surprisingly, CP is coming out on top. Dozens of times a day my events are full of truck spam. https://hub. S. 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. height: 500 # only process images from specific cameras. Not only has this feature demonstrated notable effectiveness in Frigate, but it's also recognized for its superior performance enhancements. Expand user menu Open settings menu. 0 version release Hi, if you are using Compreface, a free open-source facial recognition solution, it has some new useful updates in the new version. If a branch moves or a leaf falls in my front yard, Frigate duly notes the motion and looks for the sourceand finds that stupid truck. 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 system provides REST API for face recognition, face verification Nov 10, 2021 · First enter the MQTT broker details and making sure to include the IP address, username and password for your MQTT details. Hello, I'm running the Frigate add-on within Home Assistant Supervisor. Easily integrate facial recognition into any system without prior machine learning skills with CompreFace — a free and open-source service. I have both frigate has its uses for people and cars. I containerized an API which supports passing and training images for both compreface and facebox. Requirements for Multiple Instances In order for multiple Frigate instances to function correctly, the topic_prefix and client_id parameters must be set differently per server. Hi there, Compreface is accessed via via DoubleTake. But yes higher cost and consumes more power. vc ot mf jw zm ra fj md zj pd