Beast code in Giters

In this day and age, when google cars and tesla’s autopilot features are becoming more mainstream, combined with the huge advances in machine learning and computer vision. It has become more important for us to understand and learn the fundamental and basic steps of computer vision. The purpose of this project is to identify a method of image processing that can then be used to develop a software tool. The tool itself will be used to work out the distance that certain objects are away from it using stereo vision. This tool will also allow the user to calibrate the cameras and take both pictures and videos. The hardware used in this project will be low-end but the steps and methods used should be easily transferable and usable with most equipment.

Language:C++020

dlib

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

Language:C++020

dlib_for_arm

optimize dlib (especially face detection) for arm platform

Language:C++020

face_detect_n_track

Fast and robust face detection and tracking

Language:C++MIT020

faceswap-1

Demo Application for Cloudlet

Language:JavaApache-2.0000

Footfall

Application that allows you to monitor the traffic in and out of your building, using the RPi Camera and openFrameworks

Language:C++NOASSERTION020

IOSApp

000

libfacedetection

A binary library for face detection in images. You can use it free of charge with any purpose.

Language:C++NOASSERTION020

NPD

C++ implementation of Fast-and-Accurate-Unconstrained-Face-Detector

Language:C++BSD-3-Clause020

openbr

Open Source Biometrics, Face Recognition

Language:C++NOASSERTION000

openface

Face recognition with deep neural networks.

Language:LuaApache-2.0020

OpenFace-1

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.

Language:C++NOASSERTION020