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import java.awt.image.BufferedImage;
import java.awt.image.DataBufferByte;
import javax.imageio.ImageIO;
import java.io.IOException;
import java.io.File;
import java.awt.Color;
import java.io.FileNotFoundException;
import java.util.Scanner;
import java.io.PrintWriter;
import java.awt.Image;
import java.net.URL;
import java.io.BufferedWriter;
import java.io.FileWriter;
class Main {
public static void main(String[] args) throws IOException {
System.out.println("\nPlease input the image URL:");
BufferedImage image = null;
try {
URL url = new URL(System.console().readLine());
System.out.println("\nLoading image...");
image = ImageIO.read(url);
} catch (IOException e) {
e.printStackTrace();
}
int[][] currentValues = convertToAvgRGB(image);
System.out.println("Comparing to image models...");
double min = 1000000000;
double distance;
double coefficient;
String result = "";
String model_name = "";
int[][] model_values = new int[3][900];
String line;
try {
Scanner scanner = new Scanner(new File("models.txt"));
while (scanner.hasNextLine()) {
line = scanner.nextLine();
model_name = line.substring(0, line.indexOf(";"));
line = line.substring(line.indexOf(";") + 1, line.length());
int quad = 0;
while (line.length() > 3) {
model_values[0][quad] = Integer.parseInt(line.substring(0, line.indexOf(",")));
line = line.substring(line.indexOf(",") + 1, line.length());
model_values[1][quad] = Integer.parseInt(line.substring(0, line.indexOf(",")));
line = line.substring(line.indexOf(",") + 1, line.length());
model_values[2][quad] = Integer.parseInt(line.substring(0, line.indexOf(";")));
line = line.substring(line.indexOf(";") + 1, line.length());
quad++;
}
distance = 0;
for (int i = 0; i < model_values.length; i++) {
coefficient = 10 * Math.sin(0.21 * i - 1.7) + (-0.00009 * Math.pow(i - 450, 2)) + 29;
distance += coefficient / 3 * Math.sqrt(Math.pow(currentValues[0][i] - model_values[0][i], 2) + Math.pow(currentValues[1][i] - model_values[1][i], 2) + Math.pow(currentValues[2][i] - model_values[2][i], 2));
}
distance = distance / model_values.length;
if (min > distance) {
result = model_name;
min = distance;
}
}
scanner.close();
} catch (FileNotFoundException e) {
e.printStackTrace();
}
double confidence = 1 / ((min*0.001) + 0.1) * 10;
confidence = (double) Math.round(confidence * 100) / 100;
System.out.println("\nIt's a " + result + " (" + confidence + "% confidence).");
if (confidence != 100) {
train(currentValues, model_name);
}
}
private static int[][] convertToAvgRGB(BufferedImage image) {
int width = image.getWidth();
int height = image.getHeight();
int[][] pixels = new int[height][width];
int[][] result = new int[3][900];
for (int row = 0; row < height; row++) {
for (int col = 0; col < width; col++) {
pixels[row][col] = image.getRGB(col, row);
}
}
System.out.println("Scratching head...");
Color pixelColour;
int quad = -1;
int quad_height = height / 30;
int quad_width = width / 30;
for (int quad_y = 0; quad_y < 30; quad_y++) {
for (int quad_x = 0; quad_x < 30; quad_x++) {
quad++;
for (int row = 0 + (quad_height * quad_y); row < quad_height + (quad_height * quad_y); row++) {
for (int col = 0 + (quad_width * quad_x); col < quad_width + (quad_width * quad_x); col++) {
pixelColour = new Color(pixels[row][col]);
result[0][quad] = result[0][quad] + pixelColour.getRed();
result[1][quad] = result[1][quad] + pixelColour.getGreen();
result[2][quad] = result[2][quad] + pixelColour.getBlue();
}
}
result[0][quad] = result[0][quad] / (quad_height * quad_width);
result[1][quad] = result[1][quad] / (quad_height * quad_width);
result[2][quad] = result[2][quad] / (quad_height * quad_width);
}
}
return result;
}
private static void train (int[][] currentValues, String model_name) {
System.out.println("Is that correct? Type \"yes\" or provide the correct label.");
String answer = System.console().readLine();
String label = "";
if (answer.equals("yes")) {
label = model_name;
} else {
label = answer;
}
try {
PrintWriter writer = new PrintWriter(new BufferedWriter(new FileWriter("models.txt", true)));
writer.print(label + ";");
for (int i = 0; i < currentValues[0].length; i++) {
writer.print(currentValues[0][i] + "," + currentValues[1][i] + "," + currentValues[2][i] + ";");
}
writer.println();
writer.close();
} catch (Exception e) {
}
}
private static void show (int[][] model_values) {
StdDraw.setXscale(0.0, 30.0);
StdDraw.setYscale(0.0, 30.0);
StdDraw.enableDoubleBuffering();
int quad = -1;
double coefficient;
double R, G, B;
for (int quad_y = 29; quad_y >= 0; quad_y--) {
for (int quad_x = 0; quad_x < 30; quad_x++) {
quad++;
coefficient = 10 * Math.sin(0.21 * quad - 1.7) + (-0.00009 * Math.pow(quad - 450, 2)) + 29;
coefficient = coefficient / 39;
R = coefficient * model_values[0][quad];
G = coefficient * model_values[1][quad];
B = coefficient * model_values[2][quad];
StdDraw.setPenColor((int) R, (int) G, (int) B);
StdDraw.filledSquare(quad_x + 0.5, quad_y + 0.5, 0.5);
}
}
StdDraw.show(50);
}
}