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caffe-faster-rcnn

faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)

clm-framework

CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

crest-release

CREST: Convolutional Residual Learning for Visual Tracking

deep-head-pose

:fire::fire: Deep Learning Head Pose Estimation using PyTorch.

deepgaze

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.

dlib

A toolkit for making real world machine learning and data analysis applications in C++

facefutureextract

使用Dlib进行人脸轮廓标记（window平台下）。通过Dlib的LandMarder

faster-rcnn_tf

Faster-RCNN in Tensorflow

gluon-tutorials-zh

通过 MXNet / Gluon 来动手学习深度学习

head-pose-estimator

Slightly modified source from a paper by Gabriele Fanelli et. all

learnopencv

Learn OpenCV : C++ and Python Examples

libfacedetection

A fast binary library for face detection and face landmark detection in images. The face detection speed can reach 1500FPS. You can use it free of charge with any purpose.

libsvm

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

nn_test

This project contains some neural network code

openface

Face recognition with deep neural networks.

openface-1

OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

openface-android-sample

Opencv Android Sample.

openfaceios

OpenFace is get from https://github.com/TadasBaltrusaitis/OpenFace, a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. And I create an ios project. Delete Dlib,TBB,Boost. Only use OpenCV .

tensorflow

Computation using data flow graphs for scalable machine learning

tiny-dnn

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

windows-caffe-faster-rcnn

windows faster rcnn c++ version. joint train

ysqfastfd

A fast binary library for face detection and face landmark detection in images. No float point operations, especially suit for low cost Arm CPUs, The highest accuracy on FDDB among non deep learning methods