mtcnn

Face recognition using Tensorflow

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

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

Deep learning face detection and recognition, implemented by pytorch. (pytorch实现的人脸检测和人脸识别)

基于ncnn框架搭建win及android端的MTCNN人脸检测工程

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

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Realtime Face Detection and Head pose estimation on Windows、Ubuntu、Mac、Android and iOS

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

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

face detection alignment recognition reconstruction ...

Simple implementation of kpzhang93's paper from Matlab to c++, and don't change models.

MTCNN with Motion Detection, on Raspberry Pi with Love

Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.

Webcam face recognition using tensorflow and opencv

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

This is an implematation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenenCNN algorithm.

mtcnn face detection transplanted to keras

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

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.

Face Detector based on MTCNN, tensorflow and golang

C++ and python Inference only for MTCNN face detector on Tensorflow. Based on davidsandberg's facenet project:

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

Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

A framework for creating and using a Face Recognition system.

It is a mtcnn project based on ncnn

face detection and alignment with mtcnn

A small-scale flask server facial recognition system, using a pre-trained facenet model with real-time web camera face recognition functionality, and a pre-trained Multi-Task Cascading Convolutional Neural Network (MTCNN) for face detection and cropping.