/*
 * Copyright (c) 2011-2016, Peter Abeles. All Rights Reserved.
 *
 * This file is part of BoofCV (http://boofcv.org).
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package boofcv.demonstrations.feature.orientation;

import boofcv.abst.feature.detect.interest.ConfigGeneralDetector;
import boofcv.abst.feature.orientation.*;
import boofcv.abst.filter.derivative.AnyImageDerivative;
import boofcv.alg.feature.detect.interest.GeneralFeatureDetector;
import boofcv.alg.feature.orientation.OrientationImageAverage;
import boofcv.alg.filter.derivative.GImageDerivativeOps;
import boofcv.alg.transform.ii.GIntegralImageOps;
import boofcv.factory.feature.detect.interest.FactoryDetectPoint;
import boofcv.factory.feature.orientation.FactoryOrientationAlgs;
import boofcv.gui.SelectAlgorithmAndInputPanel;
import boofcv.gui.feature.FancyInterestPointRender;
import boofcv.gui.image.ImagePanel;
import boofcv.gui.image.ShowImages;
import boofcv.io.PathLabel;
import boofcv.io.UtilIO;
import boofcv.io.image.ConvertBufferedImage;
import boofcv.struct.QueueCorner;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.ImageGray;
import georegression.struct.point.Point2D_I16;

import javax.swing.*;
import java.awt.*;
import java.awt.image.BufferedImage;
import java.util.ArrayList;

/**
 * Displays a window showing the selected corner-laplace features across diffferent scale spaces.
 *
 * @author Peter Abeles
 */
public class ShowFeatureOrientationApp
		extends SelectAlgorithmAndInputPanel {
	ImagePanel panel;

	static int NUM_FEATURES = 500;

	int radius = 10;

	BufferedImage input;
	Class imageType;
	Class derivType;
	// true after it processes one image
	boolean hasProcessed = false;

	public ShowFeatureOrientationApp(Class imageType, Class derivType) {
		super(1);
		this.imageType = imageType;
		this.derivType = derivType;

		double objectToScale = 1.0/2.0;

		addAlgorithm(0, "Pixel", FactoryOrientationAlgs.nogradient(objectToScale,radius, imageType));
		addAlgorithm(0, "Gradient Average", FactoryOrientationAlgs.average(objectToScale,radius, false, derivType));
		addAlgorithm(0, "Gradient Average Weighted", FactoryOrientationAlgs.average(objectToScale,radius, true, derivType));
		addAlgorithm(0, "Gradient Histogram 10", FactoryOrientationAlgs.histogram(objectToScale,10, radius, false, derivType));
		addAlgorithm(0, "Gradient Histogram 10 Weighted", FactoryOrientationAlgs.histogram(objectToScale,10, radius, true, derivType));
		addAlgorithm(0, "Gradient Sliding", FactoryOrientationAlgs.sliding(objectToScale,20, Math.PI / 3.0, radius, false, derivType));
		addAlgorithm(0, "Gradient Sliding Weighted", FactoryOrientationAlgs.sliding(objectToScale,20, Math.PI / 3.0, radius, true, derivType));
		addAlgorithm(0, "Integral Average", FactoryOrientationAlgs.average_ii(new ConfigAverageIntegral(radius, 1, 4, 0), imageType));
		addAlgorithm(0, "Integral Average Weighted", FactoryOrientationAlgs.average_ii(new ConfigAverageIntegral(radius, 1, 4, -1), imageType));
		addAlgorithm(0, "Integral Sliding", FactoryOrientationAlgs.sliding_ii(
				new ConfigSlidingIntegral(1, 1, 4, 0, 4), imageType));
		addAlgorithm(0, "Integral Sliding Weighted", FactoryOrientationAlgs.sliding_ii(
				new ConfigSlidingIntegral(1, 1, 4, -1, 4), imageType));

		panel = new ImagePanel();
		setMainGUI(panel);
	}

	public synchronized void process(final BufferedImage input) {
		setInputImage(input);

		panel.setBufferedImage(input);
		this.input = input;
		doRefreshAll();
		SwingUtilities.invokeLater(new Runnable() {
			public void run() {
				setPreferredSize(new Dimension(input.getWidth(), input.getHeight()));
				setSize(input.getWidth(), input.getHeight());
				hasProcessed = true;
			}
		});
	}

	@Override
	public void loadConfigurationFile(String fileName) {
	}

	@Override
	public void refreshAll(Object[] cookies) {
		setActiveAlgorithm(0, null, cookies[0]);
	}

	@Override
	public synchronized void setActiveAlgorithm(int indexFamily, String name, Object cookie) {
		if (input == null)
			return;

		RegionOrientation orientation = (RegionOrientation) cookie;
		orientation.setObjectRadius(10);

		T workImage = ConvertBufferedImage.convertFromSingle(input, null, imageType);
		AnyImageDerivative deriv = GImageDerivativeOps.derivativeForScaleSpace(imageType, derivType);
		deriv.setInput(workImage);

		int r = 2;
		GeneralFeatureDetector detector = FactoryDetectPoint.
				createHarris(new ConfigGeneralDetector(NUM_FEATURES,r, 1), false, derivType);

		D derivX = null, derivY = null, derivXX = null, derivYY = null, derivXY = null;

		if (detector.getRequiresGradient()) {
			derivX = deriv.getDerivative(true);
			derivY = deriv.getDerivative(false);
		} else if (detector.getRequiresHessian()) {
			derivXX = deriv.getDerivative(true, true);
			derivYY = deriv.getDerivative(false, false);
			derivXY = deriv.getDerivative(true, false);
		}
		detector.process(workImage, derivX, derivY, derivXX, derivYY, derivXY);

		QueueCorner points = detector.getMaximums();

		FancyInterestPointRender render = new FancyInterestPointRender();

		if (orientation instanceof OrientationGradient) {
			((OrientationGradient) orientation).setImage(deriv.getDerivative(true), deriv.getDerivative(false));
		} else if (orientation instanceof OrientationIntegral) {
			T ii = GIntegralImageOps.transform(workImage, null);
			((OrientationIntegral) orientation).setImage(ii);
		} else if (orientation instanceof OrientationImageAverage) {
			((OrientationImageAverage) orientation).setImage(workImage);
		} else {
			throw new IllegalArgumentException("Unknown algorithm type.");
		}

		for (int i = 0; i < points.size; i++) {
			Point2D_I16 p = points.get(i);
			double angle = orientation.compute(p.x, p.y);
			render.addCircle(p.x, p.y, radius, Color.RED, angle);
		}

		BufferedImage temp = new BufferedImage(input.getWidth(), input.getHeight(), input.getType());
		Graphics2D g2 = (Graphics2D) temp.getGraphics();

		g2.drawImage(input, 0, 0, null);
		g2.setStroke(new BasicStroke(2.5f));
		render.draw(g2);
		panel.setBufferedImage(temp);
		panel.repaint();
	}

	@Override
	public synchronized void changeInput(String name, int index) {
		BufferedImage image = media.openImage(inputRefs.get(index).getPath());

		if (image != null) {
			process(image);
		}
	}

	@Override
	public boolean getHasProcessedImage() {
		return hasProcessed;
	}

	public static void main(String args[]) {
		ShowFeatureOrientationApp app =
				new ShowFeatureOrientationApp(GrayF32.class, GrayF32.class);

//		ShowFeatureOrientationApp app =
//				new ShowFeatureOrientationApp(input,GrayU8.class, GrayS16.class);

		java.util.List inputs = new ArrayList();
		inputs.add(new PathLabel("shapes", UtilIO.pathExample("shapes/shapes01.png")));
		inputs.add(new PathLabel("sunflowers", UtilIO.pathExample("sunflowers.jpg")));
		inputs.add(new PathLabel("beach", UtilIO.pathExample("scale/beach02.jpg")));

		app.setInputList(inputs);

		// wait for it to process one image so that the size isn't all screwed up
		while (!app.getHasProcessedImage()) {
			Thread.yield();
		}

		System.out.println("Calling show window");
		ShowImages.showWindow(app, "Feature Orientation", true);
		System.out.println("Done");
	}
}