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

Reproduce MTCNN using Tensorflow

(WARNING: This repository is NO LONGER maintained ) Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet

🔥🔥🔥Java免费离线AI算法工具箱，支持人脸识别，活体检测，表情识别、目标检测、实例分割、行人检测、OCR文字识别、车牌识别、表格识别、ASR+TTS、机器翻译等功能，Maven引用即可使用。支持PyTorch、Tensorflow，已集成 Mtcnn、InsightFace、SeetaFace6、YOLOv8~v12、PaddleOCR(PPOCRv5)、Whisper等主流模型

基于mtcnn/facenet/tensorflow 实现人脸识别登录系统

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

Use tensorflow Lite on Android platform, integrated face detection (MTCNN), face anti spoofing (CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing) and face comparison (MobileFaceNet use InsightFace loss)

convert facenet and mtcnn models from tensorflow to tensorflow lite and coreml （使用 TFLite 将 FaceNet 和 MTCNN 移植到移动端）

MTCNN For Android. Java.Tensorflow.人脸检测.Face Detection.

mtcnn-tf

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:

Tensorflow Rust Implementation of MTCNN - https://cetra3.github.io/blog/face-detection-with-tensorflow-rust/

Java MTCNN face detection using ND4J and trained TensorFlow models

MTCNN implement by tensorflow. Easy to training and testing.

Use tensorflow Lite on iOS platform, integrated face detection (MTCNN), face anti spoofing (CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing) and face comparison (MobileFaceNet use InsightFace loss)

opecnv+mtcnn+facenet+android/tensorflow lite/Face Recognition

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

MTCNN提出了一种Multi-task的人脸检测框架，将人脸检测和人脸特征点检测同时进行。提出一个新的基于CNN的级联型框架，用于联和（joint）人脸检测和对齐；还设计轻量级的CNN架构使得速度上可以达到实时；提出一个有效的online hard sample mining方法来提高表现能力；在人脸检测和人脸对齐上提高了不少精度。论文原文采用caffe实现，本项目用keras/tensorflow+python实现。

人脸检测MTCNN算法，采用tensorflow框架编写

face-detection based on MTCNN and TensorFlow

A lightweight python implementation of face alignment with MTCNN landmarks using tensorflow-lite runtime

Face detection with MTCNN, TensorFlow Lite Micro and ESP32-S3

tensorflow mtcnn

复现MTCNN论文，参考了众多复现代码，在此表示感谢~

期末课设_深度学习解决计算机视觉问题_基于MTCNN深度级联神经网络的人脸实时检测，By TensorFlow，with Gui

Implement MTCNN with Tensorflow.js. A face detection framework with MTCNN and Tensorflow.js

人脸检测bbox+landmark，使用 tensorflow.keras 训练MTCNN