Compreface gpu github 2 repository. Actually, I'm running on an unRaid host I had to quickly use docker exec <container_name> mkdir -p /yolo4 while I started the container from the unRaid UI. 1 version (Ampere Nvidia GPU generation is supported) Migration from 1. To Reproduce Steps to reproduce the behavior: Run CompreFace (ArcFace GPU) in WSL2. I am running this with Frigate and Double Take. yml file of the build. Any help would be greatly appreciated. Features Updated CUDA to 11. Just use CompreFace kubernetes and report ideas and bugs on GitHub; Share knowledge and experience via posting guides and articles, or just improve our documentation; Add other kubernetes configs and tutorials. In case if CompreFace version is newer - SDK won't support new features of CompreFace. Our solution is based on state-of-the-art methods and libraries like FaceNet CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. My system: Home Assistant OS on proxmox server. Are the GPU versions too fast? After you run CompreFace, wait at least 30 seconds until it starts. 0 version Please check this article to make sure your GPU is supported. 8 and added support for the new generation of Nvidia GPUs, including the Ada Lovelace and Hopper microarchitectures. You switched accounts on another tab or window. What I know, is that NVIDIA GeForce GTX 650 Ti is not supported from CompreFace 1. 2. 03) as this was the last driver version to support this GPU. You can run docker-compose ps to see all CompreFace services. Consume the API for 4-5h (sometimes less). so the detector must have an AI-Hardware for face-rec, right? but compreface dont need it, as mentioned in the docs , i found it interesting that it is possible to use GPU (as AI-Hardware) and more precise-facerec models with compreface. 1-arcface-r100-gpu docker run -dp 3000:3000 --gpus all --name compreface-core-gpu ex On page load of /config or every 30 seconds, the detectors status is updated. In one of the threads, you asked about adding processes in Python. So CompreFace List of custom-builds. For each process, it will take memory, both RAM and GPU. Understood. Sign up for GitHub By clicking “Sign up for Leading free and open-source face recognition system - Releases · exadel-inc/CompreFace. 0-arcface-r100-gpu and many pictures where faces were recognised and identified before now shows as "no face" Sure, many of them are a bit darker, or the angle of the face is not 100% straight forward. Leading free and open-source face recognition system - exadel-inc/CompreFace Leading free and open-source face recognition system - exadel-inc/CompreFace Leading free and open-source face recognition system - exadel-inc/CompreFace Similar for me, I went from compreface:0. Our solution is based on state-of-the-art methods and libraries like FaceNet You signed in with another tab or window. AgeDetector: age: agegender: Tensorflow: agegender. I see that it's possible to use the SubCenter-ArcFace-r100 custom build, but I don't underst Describe the bug SubCenter-ArcFace-r100-gpu docker cannot find face To Reproduce Steps to reproduce the behavior: docker pull exadel/compreface-core:0. 1. 141. Again, works fine in compreface regular. We want to improve our open-source face recognition solution, so your contributions are welcome and greatly appreciated. jpg images from Frigate's API. Original: compreface-core: image: ${registry}compreface-core:${CORE_VERSION} restart: always container_name: "compreface-core" runtime: nvidia environment: - ML_PORT=3000 - Plugin name Slug Backend Framework GPU support; agegender. Notifications You must be signed in to change notification settings; New issue Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. There should be 5 CompreFace services: compreface-core, compreface-api, compreface-admin, compreface-ui, compreface-postgres-db. I have installed and successfully launched the Mobilenet-GPU custom build of compreface but for some reason it is not activating uwsgi on the GPU, rather using the CPU (see the logs). I've got lots of false positives, with a very high score. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. Did I miss something? I agree with you, but in order to use CompreFace as an addon in HassOS, we need a single container, it's a pre-requirement in order to have a supported addon in the HA environment. yml and I can indeed choose which GPU to run, but after that, that's it, I can only roll with one. Do not stop it during this time, as it may corrupt database data during data migration. Now there are approximately 8K persons added and the face recognition simply returns: [message] => Something went wrong, I bought this GPU based on the fact that it works with compreface 1. Custom-build Base library CPU GPU Face detection model / accuracy on WIDER Face (Hard) Face recognition model / accuracy on LFW SubCenter-ArcFace-r100-gpu: InsightFace: x86 (AVX2 instructions) GPU (CUDA required) retinaface_r50_v1 / 91. Leading free and open-source face recognition system - exadel-inc/CompreFace @yeahme49 Awesome! Thanks for the great work. CompreFace can be applied to any field, such as security, advertising, By default, the CompreFace release contains configuration that could be run on the widest variety of hardware. GenderDetector: gender: agegender: Tensorflow SDK supports all functionality from CompreFace. When the frigate/events topic is updated the API begins to process the snapshot. For example the SubCenter-ArcFace-r100-gpu build:. if you have 6Gb GPU, you should set it to 1, if you have a 12Gb GPU you should set it to 2, If you have a 24Gb GPU, you should set it to 5. How can i check if it is using the GPU as surely with the spike in CPU usage which is also causing CPU temps to reach over 70C shows that its not running on the GPU? Describe the bug When I had a few persons ( subjects) stored in Compreface, the facial recognition worked just fine. So e. 6. g. Here is the CompreFace repository: https://github. GPU versions it just floods it. 🟡 SDK works with this CompreFace version. " Learn more Leading free and open-source face recognition system - CompreFace/docker-compose. Reload to refresh your session. yml at master · exadel-inc/CompreFace Exadel CompreFace is a free and open-source face recognition GitHub project. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. You signed out in another tab or window. com/exadel Exadel CompreFace is a free and open-source face recognition GitHub project. Got it working using your docker image but with one small niggle: I had to manually create the directory /yolo4 before the container would start. 4%: arcface-r100-msfdrop75 / 99. i have the same problem, config two processs and one thread, the GPU memory only increases sometimes. That being said I do have to use older drivers (v470. There shouldn't be any spamming of the CompreFace API unless you keep refreshing the /config page on the DT UI. Leading free and open-source face recognition system - CompreFace/custom-builds/README. AMD ryzen CPU with GPU. 01 as per the posted compatible GPU's (not that I am trying to place blame - just stating it is supposed to be compatible). env there is a parameter uwsgi_processes that says how many processes to use. I don't have a clear answer on how to install CompreFace with GPU for Windows. 0. OS: Unraid Custom Build: Mobilenet-GPU GPU: NVIDIA Quadro P5000 You can see from the image attached the CPU usage spike until i stop the compreface container, usage goes up to around 90%. These images are passed from the API to the configured detector(s) until a match is found that meets the configured requirements. Exadel CompreFace is a free and open-source face recognition GitHub project. md at master · exadel-inc/CompreFace Hi all, I'm not very happy with the results of the default installation of Compreface. To Reproduce Steps to reproduce the behavior: Install compreface addon on lat Saved searches Use saved searches to filter your results more quickly Will the GPU be maintained in the application? exadel-inc / CompreFace Public. You don’t need prior machine learning skills to set up and use CompreFace. Essentially, it is a docker-based application that can be used as a standalone server or CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. . In case if CompreFace version is older - Exadel CompreFace is a free and open-source face recognition GitHub project. Expected behavior Continuo maybe i misunderstood, but doubl-take uses "detectores" like compreface for face-detection. To be able to use a GPU enabled build in Docker Desktop Windows, we have to edit the docker-compose. I know that it's not as easy a process as on Linux. In . The downside of this build is that it's not optimized for the latest generations of Support CPU without AVX2. If you use the CPU versi Describe the bug I get log entry "AVX not detected" when starting home assistant addon. To improve the chances of finding a match, the processing of the images will repeat until the amount of retries is exhausted or a Hi ! For some reason, whenever I start compreface, no matter the values of uwsgi_processes and uwsgi_threads, the processes are all started on the first available GPU. Template is the GPU arcface 1. Leading free and open-source face recognition system - exadel-inc/CompreFace Updated CUDA to version 11. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. 1-arcface-r100-gpu to compreface:1. So I would recommend getting GPU with at least 6Gb of memory. Added support for the Pose Plugin in the user interface. Implemented the ability to CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. I've started it by passing a specific device id in the docker-compose. jpg and latest. master Describe the bug Core occupies memory until eventually taking all memory available. 80%: InsightFace: Add this topic to your repo To associate your repository with the compreface topic, visit your repo's landing page and select "manage topics. wbxv abij dbpya txokwx rnodxo vxk zxastbl oln eoyg shss