public static void main(final String[] args) {
final int numRuns = 20;
final boolean printIndividualTimes = false;
final long[] dimensions = new long[] {200, 200, 200};
final Img<FloatType> img = ArrayImgs.floats(dimensions);
final Random random = new Random(123914924);
for (final FloatType t : img) t.set(random.nextFloat());
System.out.println("findLocalMaximaNeighborhood");
System.out.println("(using old LocalNeighborhoodCursor)");
BenchmarkHelper.benchmarkAndPrint(
numRuns,
printIndividualTimes,
new Runnable() {
@Override
public void run() {
findLocalMaximaNeighborhood(img);
}
});
System.out.println("findLocalMaximaNeighborhood2");
System.out.println("(using LocalNeighborhoodCursor2 by Bene and Tobias)");
BenchmarkHelper.benchmarkAndPrint(
numRuns,
printIndividualTimes,
new Runnable() {
@Override
public void run() {
findLocalMaximaNeighborhood2(img);
}
});
System.out.println("findLocalMaximaNeighborhood6");
System.out.println("(using RectangleShape)");
BenchmarkHelper.benchmarkAndPrint(
numRuns,
printIndividualTimes,
new Runnable() {
@Override
public void run() {
findLocalMaximaNeighborhood6(img);
}
});
final int n = findLocalMaximaNeighborhood(img);
System.out.println(n);
final int n2 = findLocalMaximaNeighborhood2(img);
System.out.println(n2);
final int n6 = findLocalMaximaNeighborhood6(img);
System.out.println(n6);
}
public static void benchmarkAndCompare(
final int numRuns, final boolean individualRuns, final Runnable norm, final Runnable opt) {
final ArrayList<Long> valuesNorm = BenchmarkHelper.benchmark(numRuns, norm);
final ArrayList<Long> valuesOpt = BenchmarkHelper.benchmark(numRuns, opt);
final long[] statsNorm = computeStats(valuesNorm);
final long[] statsOpt = computeStats(valuesOpt);
final long[] statsDiff =
new long[] {
(statsNorm[0] - statsOpt[0]), (statsNorm[1] - statsOpt[1]), (statsNorm[2] - statsOpt[2])
};
// print
System.out.println("\t| Unoptimized \t| Optimized \t| Speedup Time \t| Speedup % \t|");
System.out.println(
"Median\t|\t"
+ statsNorm[0]
+ "\t|\t"
+ statsOpt[0]
+ "\t| "
+ statsDiff[0]
+ "ms \t| "
+ ((int) (1000.0 / statsNorm[0] * statsDiff[0]) / 10.0)
+ "% \t|");
System.out.println(
"Best\t|\t"
+ statsNorm[1]
+ "\t|\t"
+ statsOpt[1]
+ "\t| "
+ statsDiff[1]
+ "ms \t| "
+ ((int) (1000.0 / statsNorm[1] * statsDiff[1]) / 10.0)
+ "% \t|");
System.out.println(
"Worst\t|\t"
+ statsNorm[2]
+ "\t|\t"
+ statsOpt[2]
+ "\t| "
+ statsDiff[2]
+ "ms \t| "
+ ((int) (1000.0 / statsNorm[2] * statsDiff[2]) / 10.0)
+ "% \t|");
System.out.println();
}