Compreface hardware requirements. 🟡 SDK works with this CompreFace version.

Compreface hardware requirements Python SDK for CompreFace - free and open-source face recognition system from Exadel - exadel-inc/compreface-python-sdk. All Face Collections were migrated to Face Recognition Services automatically, so no actions from users are required. For this project, authorization, etc. Also have Coral USB used You signed in with another tab or window. Has anyone here already had experience with this? Would an Nvidia Jetson Nano be sufficient for such an application scenario? Best regards For now, I’m using Compreface by Exadel – its open-source, completely free and installation is super easy but if you choose to go down the route of Facebox or Codeproject. The object recognition is to be done with Frigate and the face recognition with compreFace or Facebox. I think It will fail on RUN pip --no-cache-dir install -r requirements. This version number identifies the computational capabilities supported by the GPU hardware and is used by applications, like CompreFace, at runtime Hi, I am wondering is there is a way to limit gpu memory consumption or add swap memory to handle additional memory needs? I am running CompreFace in a single container using image: exadel/compreface:1. Computers & Hardware; Consumer Electronics; DIY Electronics; Programming; Software & Apps; Streaming Services; There's no reason to use opencv_face_required: true with compreface, compreface already has a face check built in To run a demo, open an HTML file in a browser. Is the key field required, and does that mean I need to sign up for an account? Is there any good tutorials on getting this configured properly with HA? Most tutorials for Double Take cover DeepStack. 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 SDK supports all functionality from CompreFace. ) and it is great. g. Search Postman. 1, we added Pose Plugin, which allows you to detect the pose of a face in an image. But compreface is much more accurate than deepstack. I love Frigate and have been spending the last few weeks trying to use it for a room presence detection system. I get 4 times more recognitions with deepstack than with compreface. 8, which supports all GPUs with Compute Capability 3. Pricing. To check AVX support on Linux run lscpu | grep avx command. Steps to reproduce the behavior: Install Hyper-V for Windows; Turn off WSL mode in Docker; Install CompreFace (I use SubCenter-ArcFace-r100 build) Hardware: i9-13900K, 64 GB RAM, RTX 3090; Now you can't run CompreFace on arm devices. . These images are passed from the API to the configured detector(s) until a match is found that meets the Computers & Hardware; Consumer Electronics; DIY Electronics; I've found that people commonly use either DeepStack or CompreFace for face recognition. Code Snippets SDK supports all functionality from CompreFace. txt file So yes - if you merge master into this branch it should fix this problem. I’ve successfully managed to run other containers on my AArch64 setup by using multi-platform support via docker buildx, but I am unsure if compreface-core is compatible or if there are any known issues or requirements for running it on ARM-based systems. CompreFace doesn’t change the neural network model during its work, so you usually don’t need to migrate your face data. NET6(LTS) was added. txt file, and merging master only after make sure that everything works CompreFace . 5 to 9. Get CompreFace on Github >> Features Use the CompreFace UI panel for convenient user roles and access management; Getting Started with CompreFace Requirements. To check AVX support on Linux run lscpu | grep avx command; To get started (Linux, MacOS): CompreFace 1. Value is between 0. Notifications You must be signed in to change notification settings; Fork 655; Star 4. Not sure what the ideal hardware is for those projects though and I guess it all depends on your price range. Exadel CompreFace is a free and open-source face recognition GitHub project. There are a lot of guides out there on how to improve your system - hardware acceleration can help (I think blue iris 5 is required to support h265 hardware decode), dual stream recording is a huge improvement, more ram can help (I One of the guys over at compreface on github has built compreface with coral tpu support. I have added UWSGI_PROCESSES: 1 and API_JAVA_OPTS: -Xmx1g env To run a demo, open an HTML file in a browser. However if this is the same machine you were using before that doesn’t have the CPU instruction set required then it won’t do much good. Our solution is based on state-of-the-art methods and libraries like FaceNet We have updated CUDA to 11. Edit: I looked at the hardware specification of Model 3B. JavaScript SDK for CompreFace - free and open-source face recognition system from Exadel - Releases · exadel-inc/compreface-javascript-sdk CompreFace is an application for facial recognition that can be integrated as a standalone server or deployed on the cloud and can be set up and used without machine learning expertise. jpg and latest. NET SDK makes face recognition into your application even easier. Any similarity below this threshold will be considered as an unknown face. This CompreFace is meant to be part of your facial recognition project. It includes an updated CUDA library, support for the latest generation GPU, and much more! Check out our recent blog post for more updates. Please be sure to read (and follow) the rules of the sub before posting. Minimum Hardware Specification for SubCenter-ArcFace-r100 #1240. - Use the CompreFace UI panel for convenient user roles and access management # Getting Started with CompreFace ### Requirements 1. Notable features Viserons features include, but not limited to the following: Object detection via: YOLOv3, YOLOv4 and YOLOv7 Darknet using OpenCV; Tensorflow via Google Coral EdgeTPU; CodeProject. Reload to refresh your session. I'm looking to see how everyone has theirs config'd. Hopefully, soon we will release CompreFace for arm devices. For example the SubCenter-ArcFace-r100-gpu build:. SDK supports all functionality from CompreFace. This was a requirement of Hi, I want to do local object/face recognition with potentially three streams from IP cameras and doorbell. Currently untest from what the post said, but still wanted to share here. # Rest API description This is an official Postman collection for CompreFace face recognition system. Free and Open-Source Face Recognition System that can be integrated into any system without prior AI knowledge Write better code with AI Code review. Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. But I'm currently trying to add facial recognition via double-take and compreface. Leading free and open-source face recognition system. Enterprise. I'm using only computer (HP tiny with i5 6th generation CPU) resources. This adds support for the new generation of Nvidia GPUs, the Ada Lovelace and Hopper microarchitectures. In CompreFace 1. To start your facial recognition development, you will need some video or photo capturing hardware. 8000: options: object: optional: Default values for face recognition services: Possible options: Option Type Notes; det_prob_threshold: string: minimum required confidence that a recognized face is actually CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. What could be the problem? To Reproduce. You signed out in another tab or window. You don’t need prior machine learning skills to set up and use CompreFace. ai – the set up won’t be difficult. The downside of this build is that it’s not optimized for the latest generations of This version number identifies the computational capabilities supported by the GPU hardware and is used by applications, like CompreFace, at runtime to determine which CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. So if before the recommended threshold was 0. CompreFace does not return unknown for faces that it does not recognize. Resources and Support. But we are working on this. In the release archive and all custom builds, there is a . The only solution here is to delete all images from Face Collection and upload them again. I have entered into the Mobilenet directory in custom-builds and ran Please clearly mention minimum requirement for the same, it will surely help others in future. On this one however, I've got ESXi 6. Hi guys, I'm fairly new to CompreFace, I am able to run the docker-compose up on the root directory from the downloaded CompreFace 1. 1 version (Ampere Nvidia GPU generation is supported) Migration from 1. CompreFace is a free and open-source face recognition service that can be easily integrated into any system without In this episode, we talk with AI expert Serhii Pospielov. I currently run 20 docker containers (HA, Frigate, DoubleTake, Compreface, Zig2M, zwave2m, etc. In case if CompreFace version is older - new SDK features will fail. Documentation Explore the GitHub Discussions forum for exadel-inc CompreFace. Open APIs allow smooth integration with other systems to avoid vendor lock-in. CompreFace: Supports both CPU and GPU and is easy to scale up; Is open source and self-hosted, which gives you additional guarantees for data security I haven’t tried running it on a Pi yet though. The base rule is to use Content Python SDK for CompreFace - free and open-source face recognition system from Exadel - compreface-python-sdk/README. From what I read the face recognition of compreface would be better than that of Deepstack, but for a lot of the images You signed in with another tab or window. Docker and Docker compose (or Docker Desktop) CompreFace could be run on most modern computers with x86 processor and AVX support. I reinstalled CompreFace, but in the login interface I can only get to the Admin node, no further. You can stream video from Raspberry Pi to the server where CompreFace is running. For release and pre-build images, it should be set to exadel/ value; postgres_password - password for Postgres database. Technology-wise, CompreFace has several advantages over similar free face recognition solutions. Welcome to share your unique models, printing tips & ask for help. yml file of the build. Manage code changes. Production expenses. 1 Features Updated CUDA to 11. 4. Open folder where you extracted zip archive (Write cd path_of_the_folder, By default, the CompreFace release contains configuration that could be run on the widest variety of hardware. Requirements: Docker Engine for Linux or Docker Desktop for Windows and macOS; CompreFace could be run on most modern computers with x86 processor and AVX support. 1GB RAM is definitely not enough for CompreFace, sorry. I have frigate up and running extremely well, detections are mostly accurate. 2, we have added support for Pose Plugin to the UI, making it easier to test. Right now, I'm running it on a Windows 10 desktop, running docker but I would like to get something Requirements: Docker Engine for Linux or Docker Desktop for Windows and macOS; CompreFace could be run on most modern computers with x86 processor and AVX support. txt step as there won't be all libraries compiled for ARM in the pip repository. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor. not that my question is specific to that but I am running into issues that seem to be related to both the source image being tested and the source images for training. 7, now I have setup my security cam with frigate, doubletake, deepstack and compreface (with MobileNet build). I have 1 Question: Do we need more cores or more Ram?? I wish to add approx 5000 [In 50 groups] faces in the DB and I want atleast 5 matches per second capable hardware. If you use the CPU versi You signed in with another tab or window. In case if CompreFace version is newer - SDK won't support new features of CompreFace. To know more about face services and face plugins visit [this page](https I have implemented this on a different hardware running Intel Xeon without any issue. 1. exadel-inc / CompreFace Public. these are logs from compreface-api, trying to show last 500 lines compreface_api_java_options=-Xmx4g You should update it, e. I have frigate working, deepstack working, compreface working and doubletake working. env files into the current CompreFace config directory. Recommended to have 8 CPUs and 32G of RAM. 🟡 SDK works with this CompreFace version. 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. Case: Fractal Define R5 Python SDK for CompreFace - free and open-source face recognition system from Exadel - exadel-inc/compreface-python-sdk (Image credit: Tom's Hardware) 2. If you have a video, you will need to split it into frames and send them to CompreFace. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. 0-arcface-r100-gpu image with nvidia Quadro M2200 gpu that has only 4gb of memory. 1 to requirements. Use the CompreFace UI panel for convenient user roles and access management; Getting Started with CompreFace Requirements. 1 minor version release. md at main · exadel-inc/compreface-python-sdk Facial Recognition with CompreFace. Follow our rules and you can get tremendous support and suggestions from our community. Docker and Docker compose (or Docker U 3 iÛKk ‰(îÃß"zÒj{TgbŒ úãן ÿ-0 w?@˜–ípºÜ ¯Ïïÿý¥þÿwòó¥¨o ª ÆØ™ ŠŸ;L'M“Ngˆs½„´Áj@¢’ð ‡ÿ5Uþÿkª©¶ác u4!2ŒDúQ™¶’E ùò` ›CH ` ` dk­Ó´ïýX¥¦¾Uwî˦ý™\Nõ{–Í]tUwõâm ² œÍ‰fó : # ì0oN÷9Ýÿ•¥Y–›ª ,9 ­ž}^H{w H q 0 œY FvU¢;êÌR= ‚–Ì ÿ¾Ï {½{^Zž gýÿ÷Mí c© ÇÙè»p¬Me©1ÞeÆísî Leading free and open-source face recognition system - exadel-inc/CompreFace Self-hosted, local only NVR and AI Computer Vision software. To check AVX support on Linux run lscpu | grep Exadel CompreFace is a free and open-source face recognition service that can be easily integr Official website CompreFace could be run on most modern computers with x86 processor and AVX support . Check the first post in this thread for the link. So my question is: should I use DeepStack or CompreFace? and sharing mods for Skyrim on the Xbox. CompreFace doesn't send any information anywhere and doesn't require the internet to work. However, CompreFace could be scaled up to distribute computations on different servers and achieve high availability. 2 release supports both . If you don’t already have a microSD card see our article on how to set up a Raspberry Pi for the first time or how to do a headless -compreface regular version works fine with double-take in both single container version and docker-compose version-same behavior with internal or external db-same behavior with arcface gpu version. 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. This build problem could be fixed by adding PyYAML==5. Here are the instructions. Original: compreface-core: image: ${registry}compreface-core:${CORE_VERSION} restart: always container_name: "compreface-core" runtime: nvidia environment: - ML_PORT=3000 - I am currently using CompreFace via Double Take and Frigate. 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 Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. env file with configuration options for CompreFace. 8k. Settings > Add-ons > Add-on Store; Find the Compreface entry in the Add-ons and click Install When the frigate/events topic is updated the API begins to process the snapshot. I'll list my choices and rationale below. CompreFace Image Classification Responsive, mobile friendly Web UI written in TypeScript React MQTT support Home My goal with this project however is to support as much hardware as possible and not force the user to buy in to anything special (say the Coral EdgeTPU), or have users install a bunch of extra software or components to get Describe the bug Error, synchronization between servers Hey i downloaded the compreface project on my laptop, i am running on an ubuntu 20. html; This demo shows the most simple webcam demo for Face recognition service. Double Take itself is pretty light weight though and isn’t resource intensive, so that should run fine anywhere. Hardware/OS Unraid 6. jpg images from Frigate's API. So I would recommend fixing it directly in requirements. Add support of Pose Plugin on UI. Unless required by applicable law or agreed to in writing, software. If you upload the faces of two different people, you still receive the result, but the similarity is low. To run a demo, open an HTML file in a browser. 0 release and create an account as usual using the UI, however, the face recognition is running quite slow and therefore I wanted to try using a different model. In case if CompreFace version is older - Configuration. Here is the list of the By default, the CompreFace release contains configuration that could be run on the widest variety of hardware. CompreFace can be applied to any field, such as security, advertising, marketing, attendance, VIP services, as well as hotel, conference, and airport check-in. To check AVX support on Linux run lscpu | grep avx command; To get started (Linux, MacOS): CompreFace is delivered as a docker-compose file by default, so you can easily start it with one command. Thanks to its modular architecture, our ABIS is easy to customize. 0. We hope you’ll Specifically, I am having trouble running the compreface-core service on this architecture. We updated the formula for calculating the similarity between faces. Meet the new CompreFace 1. You switched accounts on another tab or window. ) that are very specific for each case and business requirements. API key for this demo was created on step 5 of How to Use CompreFace. distributed under the License is distributed on an "AS IS" BASIS, Required Notes; Content-Type: header: string: required: application/json: x-api-key: header: string: required: api key of the Face recognition service, created by the user: subject: body param: Except multipart/form-data, all CompreFace endpoints, that require images as input, accept images in Base64 format. You don't know the accuracy of the FaceBox model, I haven't found any benchmarks. You'd think getting the subject to say a phrase would give multiple face imprints, especially since the phrase would make the sequence more secure if unique to the person and CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. My setup is an HP EliteDesk 800 G4 DM Core i5-8500T 2. webcam_demo. registry - this is the docker hub registry. The downside of this build is that it's not optimized for the latest generations of CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. 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. 10-rc2 (docker-compose plugin) 15 # minimum required confidence that a recognized face is actually a face # value is CompreFace will definitely support arm devices in the future, the question only - when. : But they are targeted for enterprise cloud solutions, as a result, their minimum requirements are 16G of RAM. But somebody can use CompreFace with more faces because buying hardware is often cheaper than buying software or paying So the title pretty much explains it all. Our method is based on deep neural networks, which is one of the most popular facial recognition methods and provides a convenient API for model training and Having an issue where Compreface is not connecting to Double Take. All the integration is done by using CompreFace REST API. Download Exadel CompreFace for free. 7 running on baremetal, then latest OMV as one of the VM, then compreface as one of its container. 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 Leading free and open-source face recognition system - exadel-inc/CompreFace SDK supports all functionality from CompreFace. Net SDK for CompreFace - free and open-source face recognition system from Exadel - compreface-net-sdk/ at main · exadel-inc/compreface-net-sdk Not sure of your overall hardware situation, but if you are running HAOS on the NUC then there is an addon you can use. Discuss code, ask questions & collaborate with the developer community. Product. But as it's not open source, you can't check it. I have 6 cores attributed to HA VM, 6 cores and 4GB RAM to Frigate, and 6 cores and 8Gb RAM to Compreface. Skip to content. Support of . Public API Network. I use only one camera, tapo C200. 0 and To be able to use a GPU enabled build in Docker Desktop Windows, we have to edit the docker-compose. - Releases · roflcoopter/viseron Hello. E. Fast and accurate performance is achieved with minimal hardware requirements. CompreFace/DeepStack I run on a 2013 Macbook Pro with mediocre specs. yml and . Default version of CompreFace requires CPU with AVX support. 04 focal, when i create a service or the demo service i ge Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. the main requirement is that CPU should be on x86 Hello everyone. please advise. Start sending API requests with the Verify Faces from a Given Image public request from CompreFace on the Postman API Network. Serhii is the Exadel AI Practice lead and the CompreFace project manager, and he provides a more de . You need to place new docker-compose. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. But it could appear other problems, who knows. This cost may surprise you, as it can be extremely high and greatly dependent on the solution and the volume of face This add-on runs the single container version of CompreFace. The cost of integration with facial recognition solutions. JavaScript SDK for CompreFace - free and open-source face recognition system from Exadel SDK supports all functionality from CompreFace. Feel like I am missing something. To check AVX support on Linux run lscpu | grep avx command; To install CompreFace single I'm looking for guidance for recommended hardware to run CompreFace on. NET 7 versions required: CompreFace port. Have fun in the 3D Leading free and open-source face recognition system - Releases · exadel-inc/CompreFace The system can accurately identify people even when it has only “seen” their photo once. The goal is ease of use while also leveraging hardware acceleration for minimal system load. 99+ minimum required confidence that a recognized face is actually a face. 1. If you want to try custom build, you won’t be able to migrate data as the original images are required for migration. Computers & Hardware; Consumer Electronics; DIY Electronics; Programming; Software & Apps; Streaming Services; I always wondered why no one just required motion/video. CompreFace will be exposed on port 8000 - you can change this in the add-on configuration if another port is required. Need to have the right hardware. Navigation Menu Toggle navigation. Boot your Raspberry Pi. Open what would be the hardware and software requirements? The text was updated successfully, but these errors were encountered: To see the list of GPUs supported by older CompreFace versions, visit our previous blog post. NET6(LTS) and . AI; Motion detection; Face recognition via: CompreFace Those of you who uses Double-Take and CompreFace. For production systems, we recommend looking through them and set up CompreFace accordingly. 0 version Please check this article to make sure your GPU is supported. API key for this demo was created on step 5 of How to Use CompreFace Exadel CompreFace is a free and open-source face recognition GitHub project. Sign In Sign Up for Free. fcjscm iiazqa kcidbn xwc etcgts hlw emjro zmoialh nvsqu lngar