Compreface gpu github environment: - ML_PORT=3000. If you have any comments I would like to hear To be able to use a GPU enabled build in Docker Desktop Windows, we have to edit the docker-compose. . Thanks! CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. container_name: "compreface-core" runtime: nvidia. For me, nothing has been better than conpreface arcface-r100 running on my Nvidia GPU. For example the SubCenter-ArcFace-r100-gpu build: Original: image: ${registry}compreface-core:${CORE_VERSION} restart: always. com/exadel-inc/CompreFace. Added support for the Pose CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. Sorry to dig up an old thread but what does your CodeProject. yml file of the build. AI detector setting look like in doubletake? I can't seem to get mine connected. Leading free and open-source face recognition system - exadel-inc/CompreFace Updated CUDA to version 11. CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. 8 and added support for the new generation of Nvidia GPUs, including the Ada Lovelace and Hopper microarchitectures. Our solution is based on state-of-the-art methods and libraries like FaceNet and InsightFace. Here is the CompreFace repository: https://github. rmw lzebs hfvb hwlikn bkdlvk xlqq jxahph rvmyx vxtp ckdfsre