/*
 * 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.alg.interpolate;

import boofcv.alg.interpolate.impl.ImplBilinearPixel_F32;
import boofcv.alg.interpolate.impl.ImplInterpolatePixelConvolution_F32;
import boofcv.alg.interpolate.impl.ImplPolynomialPixel_F32;
import boofcv.alg.interpolate.impl.NearestNeighborPixel_F32;
import boofcv.alg.interpolate.kernel.BicubicKernel_F32;
import boofcv.alg.misc.ImageMiscOps;
import boofcv.misc.PerformerBase;
import boofcv.misc.ProfileOperation;
import boofcv.struct.image.GrayF32;
import boofcv.struct.image.GrayU8;

import java.util.Random;

/**
 * Benchmark for interpolating on a per-pixel basis
 *
 * @author Peter Abeles
 */
public class BenchmarkInterpolatePixel {
	static int imgWidth = 640;
	static int imgHeight = 480;
	static long TEST_TIME = 1000;

	static GrayF32 imgFloat32;
	static GrayU8 imgInt8;

	// defines the region its interpolation
	static float start = 10.1f;
	static float end = 310.1f;
	static float step = 1f;

	public static class Bilinear_Safe_F32 extends PerformerBase {
		ImplBilinearPixel_F32 alg = new ImplBilinearPixel_F32(imgFloat32);

		@Override
		public void process() {
			for (float x = start; x <= end; x += step)
				for (float y = start; y <= end; y += step)
					alg.get(x, y);
		}
	}

	public static class Bilinear_UnSafe_F32 extends PerformerBase {
		ImplBilinearPixel_F32 alg = new ImplBilinearPixel_F32(imgFloat32);

		@Override
		public void process() {
			for (float x = start; x <= end; x += step)
				for (float y = start; y <= end; y += step)
					alg.get_fast(x, y);
		}
	}

	public static class NearestNeighbor_Safe_F32 extends PerformerBase {
		NearestNeighborPixel_F32 alg = new NearestNeighborPixel_F32(imgFloat32);

		@Override
		public void process() {
			for (float x = start; x <= end; x += step)
				for (float y = start; y <= end; y += step)
					alg.get(x, y);
		}
	}

	public static class BilinearConvolution_Safe_F32 extends PerformerBase {
		ImplInterpolatePixelConvolution_F32 alg = new ImplInterpolatePixelConvolution_F32(new BicubicKernel_F32(-0.5f),0,255);

		@Override
		public void process() {
			alg.setImage(imgFloat32);
			for (float x = start; x <= end; x += step)
				for (float y = start; y <= end; y += step)
					alg.get(x, y);
		}
	}

	public static class Polynomial_Safe_F32 extends PerformerBase {
		ImplPolynomialPixel_F32 alg = new ImplPolynomialPixel_F32(5,0,255);

		@Override
		public void process() {
			alg.setImage(imgFloat32);
			for (float x = start; x <= end; x += step)
				for (float y = start; y <= end; y += step)
					alg.get(x, y);
		}
	}

	public static void main(String args[]) {
		imgInt8 = new GrayU8(imgWidth, imgHeight);
		imgFloat32 = new GrayF32(imgWidth, imgHeight);

		Random rand = new Random(234);
		ImageMiscOps.fillUniform(imgInt8, rand, 0, 100);
		ImageMiscOps.fillUniform(imgFloat32, rand, 0, 200);

		System.out.println("=========  Profile Image Size " + imgWidth + " x " + imgHeight + " ==========");
		System.out.println();

		ProfileOperation.printOpsPerSec(new Bilinear_Safe_F32(), TEST_TIME);
		ProfileOperation.printOpsPerSec(new Bilinear_UnSafe_F32(), TEST_TIME);
		ProfileOperation.printOpsPerSec(new NearestNeighbor_Safe_F32(), TEST_TIME);
		ProfileOperation.printOpsPerSec(new BilinearConvolution_Safe_F32(), TEST_TIME);
		ProfileOperation.printOpsPerSec(new Polynomial_Safe_F32(), TEST_TIME);
	}
}