341 Open source projects that are alternatives of or similar to Face-Recognition-FaceNet

I have published my face related codes in this repository

detect face with mtcnn and embedder with insightface

Face related datasets

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

This is a modified and simplified inference engine of davidsandberg's facenet

Estimate 3D face pose (6DoF) or 11 parameters of 3x4 projection matrix by a Convolutional Neural Network

MTCNN face detection implementation for TensorFlow, as a PIP package.

Deep Learning based Web Application for marking attendance of students by recognizing the student's faces from the surveillance video footage of classroom.

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

facenet recognition and retrieve by using hnswlib and flask, convert tensorflow model to caffe

Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.

Face recognition using Tensorflow

Example code for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 3D keypoints and 3D scans.

face detection and alignment with mtcnn

💎 Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

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

IOT implementation for FaceNet project by David Sandberg https://github.com/davidsandberg/facenet

A TensorFlow implementation of the Mnemonic Descent Method.

🌌 OpenVTuber-虚拟アイドル共享计划 An application of real-time face and gaze analyzation via deep nerual networks.

Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.

MTCNN with Motion Detection, on Raspberry Pi with Love

Some handy scripts for processing face datasets

人脸识别登录微信小程序

naive bayes in php

A pytorch implemented classifier for Multiple-Label classification

Can we predict the age and gender of someone given a picture of their face ?

Real Time Face Recognition using FaceNet and OpenCV

A License Classifier

run a multitude of classifiers on you data and get an AUC report

This project provide a single tensorflow model implement the mtcnn face detector. And it shows how to convert model from caffe to tensorflow in a hard way.

Realtime Facial recognition system using Siamese neural network

This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition

Naive Bayes classifier for use in Lua

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

Audio feature extraction and classification

ALBERT model Pretraining and Fine Tuning using TF2.0

An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text

yet another general purpose naive bayesian classifier.

A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.

[TIP 2021] SADRNet: Self-Aligned Dual Face Regression Networks for Robust 3D Dense Face Alignment and Reconstruction

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Machine Learning inference engine for Microcontrollers and Embedded devices

mtcnn python implementation based on Caffe framework

Scene text detection and recognition based on Extremal Region(ER)

A collection of research papers on decision, classification and regression trees with implementations.

Facial Landmark Detection based on PyTorch

Torch Implemention of ECCV'16 paper: Attribute2Image

(Paper) A Novel Algorithm for Remote Photoplethysmography: Spatial Subspace Rotation

📊 Naive Bayes classifier for JavaScript

A Machine Learning classifier for recognizing the digits for humans.

Face feature extract, based on insightface & facenet, implemented in tensorflow c api

Object classification with CIFAR-10 using transfer learning

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

Facematch is a tool to verifies if two photos contain the same person.

Datasets for multi-class and multi-pose face segmentation

A sophisticated smart symptom search engine

⛔️ ARCHIVED ⛔️ 🐒 R package for text analysis with Monkeylearn 🐒

liblinear bindings for Go

Machine learning to classify Malicious (Spam)/Benign URL's

licensechecker (lc) a command line application which scans directories and identifies what software license things are under producing reports as either SPDX, CSV, JSON, XLSX or CLI Tabular output. Dual-licensed under MIT or the UNLICENSE.