I'm creating a wxWidget application with C++ where at the start of the program I want the application window to contain pixels with random colors like this:
In the above application there are 3600 pixels (60 x 60) and I have given each pixel a random RGB color by using uniform_int_distribution
The colours for the pixels in the image above are generated at the moment using the following function in my code:
void random_colors(int ctable[][3], int n)
{
// construct a trivial random generator engine from a time-based seed:
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator (seed);
std::uniform_int_distribution<int> distribution(0,255);
for(int i=0; i<n; i++)
{
for(int j=0; j<3; j++)
{
ctable[i][j] = distribution(generator);
}
}
}
I do this by giving this function a table with dimensions 3600 x 3 and this function will fill in the values for the colours.
This way however is not what I want. What I want is to create a class called somNode
where each somNode
-object represents a pixel in the picture (with RGB values as a member array attribute). In this somNode
-class I have a member function using uniform_int_distribution
to give when constructed each somNode
its own random RGB colour. This is the function which creates the random colour for each somNode
:
void rand_node_colour(int nodeWeights[])
{
// construct a trivial random generator engine from a time-based seed:
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator (seed);
std::uniform_int_distribution<int> distribution(0,255);
for(int i=0; i<3; i++)
{
nodeWeights[i] = distribution(generator);
}
}
the nodeWeights
member array represents the RGB-value of the somNode
. Now when I create this "som-grid" what I have in the image above (the 3600 pixels corresponding to 3600 somNode
s) I use the following code (take a look at the som-constructor):
#include "somNode.h"
#include <vector>
class som
{
public:
double learning_rate;
std::vector<somNode> somGrid;
public:
som(double lrate);
void epoch();
void trainOnce();
};
/*
* Initialize the som grid
*/
som::som(double lrate)
{
learning_rate = lrate;
// Create the som grid
for(int i=0; i<60; i++)
{
for(int j=0; j<60; j++)
{
int xL = j*10;
int xR = (j+1)*10;
int yT = i*10;
int yB = (i+1)*10;
somGrid.push_back(somNode(xL, xR, yB, yT));
}
}
}
// Train som by one epoch
void som::epoch()
{
}
// Train som by one color
void som::trainOnce()
{
}
So I have a vector<somNode> somGrid
where I push all these 3600 somNode
s when I construct them. When each node is constructed the somNode
member function rand_node_colour
is called which creates the RGB-value.
When however I implement this code instead of the one I used at first I get this result:
You can see that there is a clear pattern so something is going wrong here. My question is: What is happening in the random number generation when somNodes are created? Why it doesn't produce the same result as the code I used above?
P.S. here is the somNode.cpp
:
#include <random>
#include <iostream>
#include <chrono>
#include<cmath>
void rand_node_colour(int nodeWeights[]);
/*
* This class represent a node in the som-grid
*/
class somNode
{
public:
// Weight of the node representing the color
int nodeWeights[3];
// Position in the grid
double X, Y;
// corner coorinates for drawing the node on the grid
int x_Left, x_Right, y_Bottom, y_Top;
public:
// Constructor
somNode(int xL, int xR, int yB, int yT);
void editWeights(int r, int g, int b);
double getDistance(int r, int g, int b);
};
somNode::somNode(int xL, int xR, int yB, int yT)
{
// Set the corner points
x_Left = xL;
x_Right = xR;
y_Bottom = yB;
y_Top = yT;
// Initialize random weights for node
rand_node_colour(nodeWeights);
// Calculate the node's position (center coordinate)
X = x_Left + (double)((x_Right - x_Left)/double(2));
Y = y_Bottom + (double)((y_Top - y_Bottom)/double(2));
}
void somNode::editWeights(int r, int g, int b)
{
nodeWeights[0] = r;
nodeWeights[1] = g;
nodeWeights[2] = b;
}
double somNode::getDistance(int r, int g, int b)
{
return sqrt(pow(nodeWeights[0]-r, 2) + pow(nodeWeights[1]-g, 2) + pow(nodeWeights[2]-b, 2));
}
void rand_node_colour(int nodeWeights[])
{
// construct a trivial random generator engine from a time-based seed:
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
std::default_random_engine generator (seed);
std::uniform_int_distribution<int> distribution(0,255);
for(int i=0; i<3; i++)
{
nodeWeights[i] = distribution(generator);
}
}