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MTCNN

Mtcnn->思维导图->开发步骤->成品->效果图

-TensorFlow-MTCNN-

理论基础、实现过程、样本生成、采样、训练、测试使用等全部代码。

FaceRecognition2

FaceRecognition2 is an implementation project of face detection and recognition. The face detection using MTCNN algorithm, and recognition using LightenedCNN algorithm.

face-detect-MTcnn-faceNet

通过 Mtcnn 实现人脸的检测并且能够标注出来，然后利用facenet 通过计算实时检测的人脸数据与实现存储的数据进行对比计算，计算相似度，从而实现人脸的鉴别

Joint-Face-Detection-and-Alignment

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

MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

VehicleDetection

Detect and track vehicles in video

tiny-dnn

header only, dependency-free deep learning framework in C++14

tensorflow-mtcnn

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

mtcnn-pytorch

使用pytorch实现mtcnn的训练及预测，并用pytorch的c++ api实现了前向预测的功能化

tensorflow-MTCNN

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

caffe

Caffe on both Linux and Windows

mtcnn-caffe

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

mtcnn

mtcnn caffe训练和测试代码

Rubost-Chinese-License-Plate-Locate-Using-LBP-adaboost-with-CNN-regression

LBP级联+CNN 回归定位车牌

anti-spoofing

anti-spoofing

sdm

Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.

FaceRecognition

A complete solution for faceDetection，Facealignment，and faceRecogniton using MTCNN and Center Loss under the Caffe framework

face-detector

face detector, based on mtcnn and ncnn

MTCNN

MTCNN CAFFE UBUNTU

MTCNN

参考相关论文实现的mtcnn网络，用于人脸识别和对齐

accelerate-mtcnn

accelerate-mtcnn No Align

mtcnn

mtcnn face detect caffe

FaceRecognition

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

face-detection-MTCNN-ncnn

insightface_ncnn

MTCNN_face_detection_alignment

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

face-detection-MTCNN-ncnn

Implement MTCNN for face detection and landmark localization in ncnn framework

opencv-mtcnn

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