840 Open source projects that are alternatives of or similar to Tensorflow Mtcnn

Compiled tensorflow for aarch64 architecture

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deobfuscator llvm arm64 script

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TensorFlow Serving ARM - A project for cross-compiling TensorFlow Serving targeting popular ARM cores

Tool for automatically generating MMU and translation table setup code, whether to drag and drop into your own bare metal arm64 projects or to assist you in your own learning.

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Cross platform Docker images for Focalboard.

Grafana packages for raspberry pi (armv6/armv7) and aarch64/arm64

distroless arm docker images

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Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing

nginx-proxy, docker-gen and letsencrypt-nginx-proxy-companion on arm archs

I have published my face related codes in this repository

fdtd3d is an open source 1D, 2D, 3D FDTD electromagnetics solver with MPI, OpenMP and CUDA support for x86, arm, arm64 architectures

A light-weight compiler backend

Windows 系統優化精簡 / Windows Simplify Project

Real Time Face Recognition Detector. Over 30FPS on CPU!

A blazing fast and asynchronous web server for static files-serving. ⚡

A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

DEPRECATED - DO NOT USE | Go here instead ->

Tool to create a Universal Binary version of a Qt distribution.

An implementation of MTCNN Face detector using OpenCV's DNN module

🦾 A list of reported app support for Apple Silicon and the new Apple M1 Macs

A lightweight face-recognition toolbox and pipeline based on tensorflow-lite

An attempt with ARM64 assembly on Apple Silicon Macs

Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU

.NET Core and .NET Framework binding for the Capstone Disassembly Framework

基于PaddlePaddle复现的MTCNN人脸检测模型

A library that simplifies intercepting application function calls using managed code and the .NET Core runtime

face-detection based on MTCNN and TensorFlow

DLARM: Dissertation for Computer Science Masters Degree at UFRGS

Lightweight and optimised PHP-FPM (PHP 7.4, 8.0, 8.1) Docker images with essential extensions on top of latest Alpine Linux.

All my docker images in one mono-repository with multi-arch support

Fast Face Recognition on the edge

Realtek USB Wireless Adapter Drivers [0bda:f179] (Kernel 4.15.x ~ 5.9.x)

Tor relay Docker images for x86-64, armhf & arm64 (from source)

Parsing gigabytes of JSON per second

All-in-one docker image for Ubiquiti UISP (formerly UNMS). Supports x86_64 and ARM (Raspberry Pi).

NordVpn Docker Client

pytorch implementation of face detection algorithm MTCNN

Docker image for Nagios Core in Alpine Linux with basic plugins, available for x86, x64 , ARM v6, ARM v7 and ARM64.

人脸检测MTCNN算法，采用tensorflow框架编写，从理解到训练，中文注释完全，含测试和训练，支持摄像头

Latest GCC Cross Compiler & Native (ARM & ARM64) CI generated precompiled standalone toolchains for all Raspberry Pis. 🍇

全平台实时人脸检测和姿态估计，提供无需任何框架实现Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

Apple Silicon Guide. Learn all about the M1, M1 Pro, M1 Max, and M1 Ultra chips.

Capstone disassembly/disassembler framework: Core (Arm, Arm64, BPF, EVM, M68K, M680X, MOS65xx, Mips, PPC, RISCV, Sparc, SystemZ, TMS320C64x, Web Assembly, X86, X86_64, XCore) + bindings.

A small amd64/ARM/ARM64 Docker image that allows you to use CloudFlare as a DDNS / DynDNS Provider.

element.io docker image generator

Raspberry Pi PCI Express device compatibility database

load and run golang code at runtime.

linux elf injector for x86 x86_64 arm arm64

MTCNN_Training Scripts For Face Detection with PyTorch 0.4.0

Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, X86)

Implementations of SIMD instruction sets for systems which don't natively support them.

Compare with various detectors - s3fd, dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition