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ce-clm

CVPR 2017: Facial Landmark Detection using Convolutional Expert Constrained Local Model

fdsst_cpp

C++ re-implementation of fast Discriminative Scale Space Tracking.

fdssttest

image-processing-algorithm

paper implement

kcf

Kernelized Correlation Filter tracker

kcf-1

High-Speed Tracking with Kernelized Correlation Filters

kcf-dsst

kcfcpp

C++ Implementation of KCF Tracker

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.

lk_tracker

Detect and track corner and edge points in a video using the Lucas-Kanade method and optical flow.

lucaskanadetracker

LK object tracking

mtcnn

基于caffe的mtcnn训练实现，可以训练一个自己的有效的目标检测算法，非常容易非常简单，并且有配套的纯c++版本的mtcnn-light

mtcnn_ncnn

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

openpose-plus

High-Performance and Flexible Pose Estimation Framework using TensorFlow, OpenPose and TensorRT

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.

struck

Code to accompany the paper 'Struck: Structured Output Tracking with Kernels'