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Clij2RichardsonLucyImglib2Cache.java
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Clij2RichardsonLucyImglib2Cache.java
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package net.haesleinhuepf.clijx.imglib2cache;
import java.util.Arrays;
import java.util.function.BiConsumer;
import java.util.function.Consumer;
import org.scijava.app.StatusService;
import net.haesleinhuepf.clij.clearcl.ClearCLBuffer;
import net.haesleinhuepf.clij.converters.implementations.ClearCLBufferToRandomAccessibleIntervalConverter;
import net.haesleinhuepf.clij.converters.implementations.RandomAccessibleIntervalToClearCLBufferConverter;
import net.haesleinhuepf.clij2.CLIJ2;
import net.haesleinhuepf.clijx.plugins.DeconvolveRichardsonLucyFFT;
import net.imglib2.FinalInterval;
import net.imglib2.RandomAccessibleInterval;
import net.imglib2.type.NativeType;
import net.imglib2.type.numeric.RealType;
import net.imglib2.view.Views;
/**
*
* @author bnorthan
*
* This class is used to deconvolve a cell of a larger image using clij2-fft Richardson Lucy
*
* It is designed to be used as an input to the {@link Lazy} class
*
* @param <T>
* @param <S>
*/
public class Clij2RichardsonLucyImglib2Cache<T extends RealType<T> & NativeType<T>, S extends RealType<S>> implements Consumer<RandomAccessibleInterval<T>>{
protected final RandomAccessibleInterval<S> source;
protected final long[] overlap;
protected final CLIJ2 clij2;
protected final ClearCLBuffer psf;
protected BiConsumer<ClearCLBuffer, ClearCLBuffer> filter = (a, b) -> {};
public CLIJ2 getClij2() { return clij2; }
protected StatusService status = null;
protected int total = -1;
protected int current = 0;
/**
* Creates a new clij2OverlapOp instance with the specified parameters.
*
* @param source The source RandomAccessibleInterval to process.
* @param gpuId The ID of the GPU to use for processing.
* @param psf The ClearCLBuffer representing the Point Spread Function (PSF).
* @param overlap The overlap values for processing, specified as an array of long values.
*/
public Clij2RichardsonLucyImglib2Cache(
final RandomAccessibleInterval<S> source,
final String gpuId,
final ClearCLBuffer psf,
final long... overlap) {
this.source = source;
final int n = source.numDimensions();
if (n == overlap.length)
this.overlap = overlap;
else
this.overlap = Arrays.copyOf(overlap, n);
clij2 = CLIJ2.getInstance(gpuId);
this.psf = psf;
this.filter = (a,b) -> DeconvolveRichardsonLucyFFT.deconvolveRichardsonLucyFFT(clij2, a, psf, b, 100, 0.0f, true);
}
public void setUpStatus(StatusService status, int total) {
this.status = status;
this.total = total;
this.current = 0;
}
public Clij2RichardsonLucyImglib2Cache(
final RandomAccessibleInterval<S> source,
final ClearCLBuffer psf,
final long... overlap) {
this(source, null, psf, overlap);
}
@SuppressWarnings("unchecked")
@Override
/**
* Implement an accept function that
*
* a) extracts the Interval defined by 'cell' and overlap from the source
* Note: this function only adds overlap between cells, but does not pad out of bounds (that is left to filter implementation)
*
* b) applies the clij filter
*
* c) writes the result to the Interval defined by 'cell' (does not write the padded area)
*
* @param cell The RandomAccessibleInterval representing the cell.
*/
public void accept(final RandomAccessibleInterval<T> cell) {
if (this.status != null) {
this.status.showStatus(current, total, "deconvolving cell "+current + " of "+total);
current = current + 1;
}
final RandomAccessibleIntervalToClearCLBufferConverter rai2cl = new RandomAccessibleIntervalToClearCLBufferConverter();
rai2cl.setCLIJ(clij2.getCLIJ());
// min and max of the cell cell we are computing values for
final long[] min = new long[] { cell.min(0), cell.min(1), cell.min(
2) };
final long[] max = new long[] { cell.max(0), cell.max(1), cell.max(
2) };
// extended min and max when considering overlap
final long[] mine = new long[cell.numDimensions()];
final long[] maxe = new long[cell.numDimensions()];
// overlap size
long[] overlapmin = new long[cell.numDimensions()];
long[] overlapmax = new long[cell.numDimensions()];
// if at start or end of the image set overlap size to 0 otherwise use the
// input overlap
for (int d = 0; d < cell.numDimensions(); d++) {
System.out.println("min/max source "+source.realMin(d)+" "+ source.realMax(d));
System.out.println("min/max cell "+min[d]+" "+max[d]);
overlapmin[d] = overlap[d];
overlapmax[d] = overlap[d];
if (min[d] == 0) {
overlapmin[d] = 0;
}
if (max[d] == source.dimension(d) - 1) {
overlapmax[d] = 0;
}
}
// calculated extended min and max to be the cell min and max +- the overlap
mine[0] = min[0] - overlapmin[0];
mine[1] = min[1] - overlapmin[1];
mine[2] = min[2] - overlapmin[2];
maxe[0] = max[0] + overlapmax[0];
maxe[1] = max[1] + overlapmax[1];
maxe[2] = max[2] + overlapmax[2];
// get the input RAI (using the min and max interval computed above)
RandomAccessibleInterval<S> inputRAI = Views.interval(source, mine, maxe);
// convert input RAI to ClearCLBuffer
final ClearCLBuffer input = rai2cl.convert(Views.zeroMin(inputRAI));
// create temporary buffer for output
final ClearCLBuffer output = clij2.create(input);
// call the CLIJ filter
filter.accept(input, output);
// convert CLBuffer result to RAI
// at this point the result contains the padded area
final ClearCLBufferToRandomAccessibleIntervalConverter cl2rai = new ClearCLBufferToRandomAccessibleIntervalConverter();
cl2rai.setCLIJ(clij2.getCLIJ());
final RandomAccessibleInterval<T> result = cl2rai.convert(output);
// get the valid part of the extended deconvolution (ie exclude the padded area)
RandomAccessibleInterval<T> valid = Views.zeroMin(Views.interval(
result, new FinalInterval(new long[] { overlapmin[0], overlapmin[1], overlapmin[2] },
new long[] { result.dimension(0) - overlapmax[0] - 1, result.dimension(
1) - overlapmax[1] - 1, result.dimension(2) -overlapmax[2] - 1 })));
// copy the extended result to the original cell
Util.copyReal(valid, Views.zeroMin(cell));
input.close();
output.close();
}
}