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3_pointcloud icon 3_pointcloud

http://www.cs.princeton.edu/~edwardz/tutorials/kinect2/kinect3.html

commpy icon commpy

Digital Communication with Python

flutter-rehberi icon flutter-rehberi

Flutter için Türkçe ve İngilizce kaynakların toplandığı rehber

image-processing-and-feature-detection icon 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.

imo2020 icon imo2020

İstanbul'da Makine Öğrenmesi (27 Ocak- 2 Şubat, 2020) - Ders malzemeleri

vbyo icon vbyo

Veri Bilim - Yapay Öğrenme Yaz Okulu

wires2014 icon wires2014

All Files for Modules on Newcastle University Wireless Embedded Systems (WirES) MSc

yawn5 icon yawn5

YAWN - Your Autonomous Wireless Node

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