PiotrWegrzyn’s gists

PiotrWegrzyn / pthreadLinuxThreads.cpp

Last active June 6, 2018 11:48

This program generates a table filled with random numbers in a thread, then counts the sum and avarage of each row in a separate thread and then counts the avarage of sums of all rows in a thread.

	//compile with: g++ name.cpp -o name -lpthread

	#include <pthread.h>
	#include <stdio.h>
	#include <stdlib.h>
	#include <time.h>
	#include <iostream>
	#include <assert.h>

	using namespace std;

PiotrWegrzyn / PointInPolygonGrahamJarvisAndNaiveMethods.cs

Last active June 6, 2018 11:48

Computational geometry - Point inside a polygon problem and finding the Convex Hull with Graham, Jarvis and Naive methods (c#)

	using System;
	using System.Collections.Generic;
	using System.ComponentModel;
	using System.Data;
	using System.Drawing;
	using System.Linq;
	using System.Text;
	using System.Threading.Tasks;
	using System.Windows.Forms;

PiotrWegrzyn / monteCarloAndTrapezoidIntegration.cpp

Created May 5, 2018 13:29

Calculating errors of both montecarlo and trapezoid integration based on precalculated real value.

	#include <iostream>
	#include <cstdlib>
	#include <time.h>



	double f(double x) {
	return x*x;
	}

PiotrWegrzyn / Interpolacja Newtona.cpp

Last active March 20, 2018 01:31

	/*Filename: MN03_Newton
	Author: Peter_Wegrzyn
	Date: 20.03.18

	Kod jest dostosowany do danych z przykladu ze strony http://galaxy.agh.edu.pl/~mhojny/repozytoria/mn/InterpolacjaN.pdf
	Jeżeli chce Ci sie wpisywać swoje dane to należy jedynie odkomentować zakomentowane linie oraz zakomentowac tworzenie tabeli.
	*/

	#include <iostream>
	using namespace std;

PiotrWegrzyn / LaborkiAiSD.cpp

Last active June 6, 2018 11:49

Listy Sortowania Drzewka

	#include <iostream>
	#include <stdlib.h>
	#include <time.h>

	using namespace std;
	int n = 0;
	struct node {
	int val;
	node * next;
	};

rdelassus / spacenet_segnet.py

Last active July 23, 2023 12:21

a segnet-like architecture for building detection in the spacenet dataset

	#from __future__ import absolute_import
	from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img

	from keras.callbacks import ModelCheckpoint
	from keras.models import Sequential
	from keras.layers import Convolution2D, MaxPooling2D
	from keras.layers import Layer, Dense, Dropout, Activation, Flatten, Reshape, Merge, Permute
	from keras.layers import ZeroPadding2D, UpSampling2D
	from keras.layers.normalization import BatchNormalization
	import sys