Pinned Repositories
3_PointCloud
http://www.cs.princeton.edu/~edwardz/tutorials/kinect2/kinect3.html
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Arduino_FreeRTOS_Library
A FreeRTOS Library for all Arduino AVR Devices (Uno, Leonardo, Mega, etc)
celik
EasySurvey
ChannelCodingProjectList
List of open source channel coding projects and libraries.
code-vault
Collection of useful notebooks and snippets
Comm
Image-Processing-and-Feature-Detection
Image Processing and feature detection are the two most important areas of research in Computer Vision. In our one year project we successfully implemented various techniques and coding schemes that deal with Image Processing and Feature Detection of both still images and live video. We started with converting raw images to usable forms like grayscale, plots. We performed various mathematical operations on the image transforms like blurring (Gaussian Transform), sharpening etc. We learned to perform weighted addition of images. On both still images and live video features like face, eyes, smile, upper/lower body and full body have been detected. In this project, we used Haar Classifier to detect human face and eyes. We also employed the use of support vector machines to successfully identify human upper/lower and full body. The work can be extended to pedestrian detection in case of self-driving cars.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Trilateration
Trilateration example from Wikipedia
chelik96's Repositories
chelik96/Image-Processing-and-Feature-Detection
Image Processing and feature detection are the two most important areas of research in Computer Vision. In our one year project we successfully implemented various techniques and coding schemes that deal with Image Processing and Feature Detection of both still images and live video. We started with converting raw images to usable forms like grayscale, plots. We performed various mathematical operations on the image transforms like blurring (Gaussian Transform), sharpening etc. We learned to perform weighted addition of images. On both still images and live video features like face, eyes, smile, upper/lower body and full body have been detected. In this project, we used Haar Classifier to detect human face and eyes. We also employed the use of support vector machines to successfully identify human upper/lower and full body. The work can be extended to pedestrian detection in case of self-driving cars.
chelik96/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
chelik96/Trilateration
Trilateration example from Wikipedia
chelik96/3_PointCloud
http://www.cs.princeton.edu/~edwardz/tutorials/kinect2/kinect3.html
chelik96/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
chelik96/Arduino_FreeRTOS_Library
A FreeRTOS Library for all Arduino AVR Devices (Uno, Leonardo, Mega, etc)
chelik96/celik
EasySurvey
chelik96/ChannelCodingProjectList
List of open source channel coding projects and libraries.
chelik96/code-vault
Collection of useful notebooks and snippets
chelik96/Comm
chelik96/CommPy
Digital Communication with Python
chelik96/flutter-rehberi
Flutter için Türkçe ve İngilizce kaynakların toplandığı rehber
chelik96/IMO2020
İstanbul'da Makine Öğrenmesi (27 Ocak- 2 Şubat, 2020) - Ders malzemeleri
chelik96/sionna
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
chelik96/VBYO
Veri Bilim - Yapay Öğrenme Yaz Okulu
chelik96/WirES2014
All Files for Modules on Newcastle University Wireless Embedded Systems (WirES) MSc
chelik96/YAWN5
YAWN - Your Autonomous Wireless Node