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defuchocolate's Projects

4dface icon 4dface

Real-time 3D face tracking and reconstruction from 2D video

advanced-lane-detection icon advanced-lane-detection

Developed a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting.

awesome icon awesome

:sunglasses: Curated list of awesome lists

caffe icon caffe

Caffe: a fast open framework for deep learning.

carnd_trafficsigns icon carnd_trafficsigns

Model to recognize traffic sign images. Part of the Self Driving Car Engineer Nanodegree by Udacity

city-traffic-android icon city-traffic-android

An app that uses crowed source data to show current traffic status. People can install this app in their mobile phone and can mark the location of traffic and road blocks. The data in the data base(In this case Firebase) will be deleted every 5 minutes.)

cnn_face_detection icon cnn_face_detection

Implementation based on the paper Li et al., “A Convolutional Neural Network Cascade for Face Detection, ” 2015 CVPR

cortana icon cortana

Nice theme for Trulia's Hologram styleguide generator

dashpi icon dashpi

Traffic sign analysis in C++ with openCV

deepface icon deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

dest icon dest

:panda_face: One Millisecond Deformable Shape Tracking Library (DEST)

facedemo icon facedemo

A simple 3D face alignment and warping demo.

facerecognizer icon facerecognizer

:boy: A face recognition algorithm which notifies you on facebook in case of an Intruder attack

facerecognizer-1 icon facerecognizer-1

Based on Open CV 3. FaceRecognizer finds faces in images and videos and tries to tell their gender, age and ethnicity.

facetracker icon facetracker

Real time deformable face tracking in C++ with OpenCV 3.

final icon final

Traffic Sign Recognition using OpenCV

gtsrb-smai icon gtsrb-smai

The German Traffic Sign Benchmark is a multi-class, single-image classification challenge. Humans are capable of recognizing the large variety of existing road signs with close to 100% correctness.Then what about machines, Can we make them intelligent like humans ?

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