mfwhitman

import ddf.minim.*;
import ddf.minim.signals.*;

Minim minim;
AudioOutput out;

Cell[][] field;
int timeElapsed, frameSum, beatStage;
boolean isPaused;

mfwhitman

// Homework 2
// Image Blurring
//
// In this homework we are blurring an image. To do this, imagine that we have
// a square array of weight values. For each pixel in the image, imagine that we
// overlay this square array of weights on top of the image such that the center
// of the weight array is aligned with the current pixel. To compute a blurred
// pixel value, we multiply each pair of numbers that line up. In other words, we
// multiply each weight with the pixel underneath it. Finally, we add up all of the
// multiplied numbers and assign that value to our output for the current pixel.

mfwhitman

/* Udacity Homework 3
   HDR Tone-mapping

  Background HDR
  ==============

  A High Definition Range (HDR) image contains a wider variation of intensity
  and color than is allowed by the RGB format with 1 byte per channel that we
  have used in the previous assignment.  

mfwhitman

int maxBalls = 100;
Ball[] ManyBalls = new Ball[maxBalls];
int ballcount = 0;

void setup()
{
  size(640,640);
  fill(125);
  colorMode(HSB, 360, 100, 100);
  background(color(180, 10, 45));

mfwhitman

int[][] xorTable;
Boolean drawOnce = false;
int rectSize = 10;
int bits = 64;

void setup(){
  xorTable = new int[bits][bits];
  size(bits * rectSize, bits * rectSize);
  colorMode(RGB, bits);
  noStroke();

mfwhitman

int shutter = 0;
int changeover = 0;

float[] interx;
float[] intery;

int headx = 20;
int heady = 20;
int tailx = 460;
int taily = 460;