There are 11 repositories under mtcnn topic.
Face recognition using Tensorflow
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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)
💎 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
yolov7 face detection with landmark
yolov8 face detection with landmark
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.
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
MTCNN with Motion Detection, on Raspberry Pi with Love
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.
A framework for creating and using a Face Recognition system.
A re-implementation of mtcnn. Joint training, tutorial and deployment together.
2020/2021 HKUST CSE FYP Masked Facial Recognition, developer: Sam Yuen, Alex Xie, Tony Cheng
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
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools.
Caffe and Python implementation of Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
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.
Pytorch实现的人脸识别明细MobileFaceNet模型,在预测使用MTCNN检测人脸,然后使用MobileFaceNet模型识别。