Face-Recognition-Raspberry-Pi-64-bits

State-of-the-art 2D and 3D Face Analysis Project

Speech-to-text, text-to-speech, speaker diarization, speech enhancement, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, support 11 programming languages

Low-latency machine code generation

oneAPI Deep Neural Network Library (oneDNN)

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

Modern, advanced, portable, multiprotocol bootloader and boot manager.

This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods

face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on

A Github Action that executes jobs/commands on non-x86 cpu architectures (ARMv6, ARMv7, aarch64, s390x, ppc64le, riscv64) via QEMU