Galina Staneva (gale31)

gale31

Geek Repo

Company:Pure Storage

Location:Prague, Czechia

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Galina Staneva's repositories

ObjectDetector

ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifier for wallclocks which are used and tested in programs, detecting the objects from image/video, comparison between different human body parts classifiers and some other programs, which (will) help training the classifiers (for example, a program downloading the "cat box" synset images from ImageNet).

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AstroSpiral

The Astro Spiral project presents an innovative way to compare astronomical images of the sky by building a convex spiral (modification of the Graham Scan algorithm for convex hull) according to the bright objects in a photo. On that purpose, I made an application for Windows and Mac OS X, written in C++ that uses the Cinder toolbox.

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TIDY

Trash Image Dataset 'Yucky': a dataset of classified images of trash

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2018-Data-Science-Bowl

for nuclei detection, based on a kaggle competition: www.kaggle.com/c/data-science-bowl-2018

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CHAMPS

based on the kaggle molecular properties prediction competition

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Monte-Carlo-simulation

A Julia program that uses the Monte Carlo method to estimate pi, here is a good guide which explains how this works: http://blog.minitab.com/blog/michelle-paret/a-simple-guide-to-using-monte-carlo-simulation-to-estimate-pi-v2

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Seizure-Prediction

based on kaggle's Melbourne University AES/MathWorks/NIH competition

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Space-Settlement-Calculator

Simple program to calculate properties of settlements (remember the good old NASA Space Settlement Contest Java applet? well, it's gone. and with it, our hopes and dreams of making a habitable colony with good size, gravity and all that stuff. just kidding. this can do (almost) the same)

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