// Author: Paul Reiners

import com.automatous_monk.seurat.ca.TwoDCellularAutomaton;
import com.automatous_monk.seurat.ca.convolution.CAConvolution;

import controlP5.ControlP5;

import com.automatous_monk.seurat.ca.BriansBrain;
import com.automatous_monk.seurat.ca.convolution.CAWeightedConvolution;
import controlP5.ControlP5;
import controlP5.Radio;

PImage img;
PImage edgeImg;
TwoDCellularAutomaton cellularAutomaton;
CAConvolution cAConvolution;
ControlP5 controlP5;

int DEFAULT_CONVOLUTION_INDEX = 1;
float[][] kernel = Kernel.kernels[DEFAULT_CONVOLUTION_INDEX];

void setup() {
  int myColorBackground = color(0, 0, 0);
  background(myColorBackground);
  img = loadImage("VanGogh_TwoCutSunflowers.jpg");
  final int radioWidth = 100;
  size(img.width + radioWidth, img.height);
  frameRate(8);
  img.loadPixels();
  edgeImg = createImage(img.width, img.height, RGB);

  createCellularAutomaton();

  cAConvolution = new CAWeightedConvolution(cellularAutomaton, img,
  kernel);

  controlP5 = new ControlP5(this);
  int kernelCount = Kernel.kernels.length;
  Radio r = controlP5.addRadio("radio", img.width, 0);
  for (int i = 0; i < kernelCount; i++) {
    r.addItem("Convolution " + i, i);
  }
  r.setId(DEFAULT_CONVOLUTION_INDEX);
  r.activate("Convolution " + DEFAULT_CONVOLUTION_INDEX);
}

void radio(int theID) {
  kernel = Kernel.kernels[theID];
  cAConvolution = new CAWeightedConvolution(cellularAutomaton, img,
  kernel);
}

protected void createCellularAutomaton() {
  cellularAutomaton = new BriansBrain(img.height, img.width);
}

void draw() {
  for (int y = 1; y < img.height - 1; y++) {
    for (int x = 1; x < img.width - 1; x++) {
      int state = cellularAutomaton.getState(y, x);

      int pos = y * img.width + x;
      int pixel = img.pixels[pos];

      int c = cAConvolution.convolve(y, x, state, pixel);
      edgeImg.pixels[pos] = c;
    }
  }
  edgeImg.updatePixels();
  image(edgeImg, 0, 0);

  cellularAutomaton.update();
}