debugging "lazy eye". Found residual is due to ERS (2d7ac7b8) · Commits · Elphel / imagej-elphel

src/main/java/com/elphel/imagej/tileprocessor/Corr2dLMA.java

+39 −13

Original line number	Diff line number	Diff line
		@@ -1167,6 +1167,30 @@ public class Corr2dLMA {


		}
		public double [][] getTileStats(){
		double [] rms = getRmsTile();
		double [][] maxmin_amp = getMaxMinAmpTile();
		// double [][] maxmin_val = getMaxMinValTile();
		double [][] abc = getABCTile();
		double [][] tileStats = new double [numTiles][];
		for (int tile = 0; tile < numTiles; tile++) if (!Double.isNaN(rms[tile]) && !Double.isNaN(maxmin_amp[tile][0])){
		tileStats[tile] = new double[4];
		double avg = 0.5*(maxmin_amp[tile][0]+maxmin_amp[tile][1]);
		double rrms = rms[tile]/avg;
		double strength = Math.sqrt(avg/rrms);
		double area = Double.NaN;
		if ((abc[tile][0] > 0.0) && (abc[tile][2] > 0.0)) {
		area = 1.0/abc[tile][0] + 1.0/abc[tile][2]; // area of a maximum
		}
		tileStats[tile][0] = rrms;
		tileStats[tile][1] = strength;
		tileStats[tile][2] = Math.max(abc[tile][0], abc[tile][2]);
		tileStats[tile][3] = area;
		}
		return tileStats;
		}



		public void printInputDataFx(boolean show_fx){ // not used in lwir
		if (show_fx) {
		@@ -1435,10 +1459,11 @@ public class Corr2dLMA {
		return rslt;
		}

		public double [][] disparityStrength(
		public double [][] lmaDisparityStrength(
		double lma_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		double lma_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		double lma_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		double lma_max_area, // maximal half-area (if > 0.0)
		double lma_str_scale, // convert lma-generated strength to match previous ones - scale
		double lma_str_offset // convert lma-generated strength to match previous ones - add to result
		){
		@@ -1447,21 +1472,31 @@ public class Corr2dLMA {
		double [][] maxmin_amp = getMaxMinAmpTile();
		double [][] abc = getABCTile();
		for (int tile = 0; tile < numTiles; tile++) {
		if (Double.isNaN(maxmin_amp[tile][0])) {
		ds[tile][0] = Double.NaN;
		if (Double.isNaN(maxmin_amp[tile][0])) {
		continue;
		}
		double avg = 0.5*(maxmin_amp[tile][0]+maxmin_amp[tile][1]);
		double rrms = rms[tile]/avg;
		if (((lma_max_rel_rms > 0.0) && (rrms > lma_max_rel_rms)) \|\|
		(Math.max(abc[tile][0], abc[tile][2]) < lma_min_ac)) {
		ds[tile][0] = Double.NaN;
		continue;
		}
		if (lma_max_area > 0) {
		if ((abc[tile][0] > 0.0) && (abc[tile][2] > 0.0)) {
		double area = 1.0/abc[tile][0] + 1.0/abc[tile][2]; // area of a maximum
		if (area > lma_max_area) {
		continue; // too wide maximum
		}
		} else {
		continue; // not a maximum
		}


		}
		double strength = Math.sqrt(avg/rrms);
		double disparity = -all_pars[DISP_INDEX + tile*TILE_PARAMS];
		if ((strength < lma_min_strength) \|\| Double.isNaN(disparity)) {
		ds[tile][0] = Double.NaN;
		continue;
		}
		ds[tile][0] = disparity;
		@@ -1716,15 +1751,6 @@ public class Corr2dLMA {

		return rslt;
		}
		/*
		try {
		this.SYNC_COMMAND.wait();
		} catch (InterruptedException e) {
		// TODO Auto-generated catch block
		e.printStackTrace();
		}

		*/
		if (debug_level>2) {
		System.out.println("(JtJ + lambda*diag(JtJ).inv()");
		jtjl_inv.print(18, 6);

src/main/java/com/elphel/imagej/tileprocessor/Correlation2d.java

+14 −8

Original line number	Diff line number	Diff line
		@@ -1821,7 +1821,7 @@ public class Correlation2d {
		{
		// corrs are organized as PAIRS, some are null if not used
		// for each enabled and available pair find a maximum, filter convex and create sample list
		boolean debug_graphic = imgdtt_params.lma_debug_graphic; // (debug_level > -1) ;
		boolean debug_graphic = imgdtt_params.lma_debug_graphic && (debug_level > -1) ;
		// boolean debug_graphic = true;
		// boolean debug_second_all = false; // true; // alse; // true;
		int clust_height = corrs.length/clust_width;
		@@ -1831,6 +1831,9 @@ public class Correlation2d {
		int center = transform_size - 1;
		int corr_size = 2 * transform_size - 1;
		// double [][] blur_max = new double [corrs.length][];
		if (debug_level > -2) {
		System.out.println("Debugging corrLMA2()// multi-tile");
		}
		Corr2dLMA lma = new Corr2dLMA(
		corrs.length,
		transform_size,
		@@ -2024,10 +2027,11 @@ public class Correlation2d {
		}

		// double [][] ds = lma.getDisparityStrength();
		ds = lma.disparityStrength(
		ds = lma.lmaDisparityStrength(
		imgdtt_params.lma_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lma_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lma_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		imgdtt_params.lma_max_area, //double lma_max_area, // maximal half-area (if > 0.0)
		imgdtt_params.lma_str_scale, // convert lma-generated strength to match previous ones - scale
		imgdtt_params.lma_str_offset // convert lma-generated strength to match previous ones - add to result
		);
		@@ -2121,10 +2125,11 @@ public class Correlation2d {
		lma.printInputDataFx(true);
		}
		// double [][] ds = lma.getDisparityStrength();
		ds = lma.disparityStrength(
		ds = lma.lmaDisparityStrength(
		imgdtt_params.lma_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lma_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lma_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		imgdtt_params.lma_max_area, //double lma_max_area, // maximal half-area (if > 0.0)
		imgdtt_params.lma_str_scale, // convert lma-generated strength to match previous ones - scale
		imgdtt_params.lma_str_offset // convert lma-generated strength to match previous ones - add to result
		);
		@@ -2217,8 +2222,8 @@ public class Correlation2d {
		boolean need_poly = (disp_str == null); // true; // find initial disparity by polynomial approximation
		boolean debug_graphic = imgdtt_params.lma_debug_graphic && (imgdtt_params.lma_debug_level1 > 3) && (debug_level > 0) ;
		String dbg_title = null;
		// if (debug_graphic) {
		if (imgdtt_params.lma_debug_graphic) {
		if (debug_graphic) {
		// if (imgdtt_params.lma_debug_graphic) {
		dbg_title = String.format("tX%d_tY%d",tileX,tileY);
		}
		DoubleGaussianBlur gb = null;
		@@ -2350,7 +2355,7 @@ public class Correlation2d {
		disp = lma.polyDisparity(
		corr_wnd_inv_limited,
		transform_size-1-imgdtt_params.lma_soft_marg,//double max_offset, // 5?
		dbg_title); // double [] rslt = {-approx2d[0], approx2d[2], hwx, hwy};
		debug_graphic?dbg_title:null); // double [] rslt = {-approx2d[0], approx2d[2], hwx, hwy};

		if (disp == null) {
		if (debug_level > 0) {
		@@ -2414,10 +2419,11 @@ public class Correlation2d {
		lma.updateFromVector();


		double [][] dispStr = lma.disparityStrength(
		double [][] dispStr = lma.lmaDisparityStrength(
		imgdtt_params.lmas_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lmas_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lmas_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		imgdtt_params.lmas_max_area, //double lma_max_area, // maximal half-area (if > 0.0)
		imgdtt_params.lma_str_scale, // convert lma-generated strength to match previous ones - scale
		imgdtt_params.lma_str_offset // convert lma-generated strength to match previous ones - add to result
		);

src/main/java/com/elphel/imagej/tileprocessor/ImageDtt.java

+42 −14

Original line number	Diff line number	Diff line
		@@ -1867,7 +1867,7 @@ public class ImageDtt {
		disparity_array[tileY][tileX] + disparity_corr);
		}

		if (((globalDebugLevel > 0) \|\| debug_distort) && debugTile) {
		if (((globalDebugLevel > 0) \|\| debug_distort) \|\| debugTile) {
		for (int i = 0; i < quad; i++) {
		System.out.println("clt_aberrations_quad_corr(): tileX="+tileX+", tileY="+tileY+
		" centerX="+centerX+" centerY="+centerY+" disparity="+disparity_array[tileY][tileX]+
		@@ -1884,7 +1884,7 @@ public class ImageDtt {
		centersXY[cTile][i][0] += debug_offsets_xy[i][0];
		centersXY[cTile][i][1] += debug_offsets_xy[i][1];
		}
		if (debug_distort && debugCluster) {
		if ((debug_distort && debugCluster) \|\| debugTile) {
		for (int i = 0; i < quad; i++) {
		System.out.println(String.format("%d: {%8.3f, %8.3f}",i,debug_offsets_xy[i][0],debug_offsets_xy[i][1]));
		}
		@@ -2114,10 +2114,11 @@ public class ImageDtt {
		disparity_map[DISPARITY_INDEX_HOR][tIndex] = poly_disp[0];
		disparity_map[DISPARITY_INDEX_HOR_STRENGTH][tIndex] = poly_disp[1];
		if (lma2 != null) {
		disp_str[cTile] = lma2.disparityStrength(
		disp_str[cTile] = lma2.lmaDisparityStrength(
		imgdtt_params.lmas_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lmas_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lmas_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		imgdtt_params.lmas_max_area, //double lma_max_area, // maximal half-area (if > 0.0)
		imgdtt_params.lma_str_scale, // convert lma-generated strength to match previous ones - scale
		imgdtt_params.lma_str_offset // convert lma-generated strength to match previous ones - add to result
		)[0];
		@@ -2165,12 +2166,14 @@ public class ImageDtt {
		if (lma2 != null) {
		double [][] ddnd = lma2.getDdNd();
		double [] stats = lma2.getStats();
		double [][] lma2_ds = lma2.disparityStrength(
		double [][] lma2_ds = lma2.lmaDisparityStrength(
		imgdtt_params.lma_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lma_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lma_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		imgdtt_params.lma_max_area, //double lma_max_area, // maximal half-area (if > 0.0)
		imgdtt_params.lma_str_scale, // convert lma-generated strength to match previous ones - scale
		imgdtt_params.lma_str_offset); // convert lma-generated strength to match previous ones - add to result
		double [][] extra_stats = lma2.getTileStats();
		for (int cTileY = 0; cTileY < tileStep; cTileY++) {
		tileY = clustY * tileStep + cTileY ;
		if (tileY < tilesY) {
		@@ -2182,9 +2185,16 @@ public class ImageDtt {
		// int nTile = tileY * tilesX + tileX; // how is it different from tIndex?
		for (int cam = 0; cam < ddnd.length; cam++) {
		if (ddnd[cam] != null) {
		if (imgdtt_params.lma_diff_xy) {
		clt_mismatch[3*cam + 0][tIndex] =
		ddnd[cam][0] * rXY[cam][0] - ddnd[cam][1] * rXY[cam][1];
		clt_mismatch[3*cam + 1][tIndex] =
		ddnd[cam][0] * rXY[cam][1] + ddnd[cam][1] * rXY[cam][0];
		} else {
		clt_mismatch[3*cam + 0][tIndex] = ddnd[cam][0];
		clt_mismatch[3*cam + 1][tIndex] = ddnd[cam][1];
		}
		}
		if (stats != null) {
		disparity_map[IMG_DIFF0_INDEX+0][tIndex] = stats[0];
		disparity_map[IMG_DIFF0_INDEX+1][tIndex] = stats[1];
		@@ -2194,6 +2204,25 @@ public class ImageDtt {
		if ((lma2_ds != null) && ((lma2_ds[cTile] != null))) {
		disparity_map[DISPARITY_INDEX_VERT][tIndex] = lma2_ds[cTile][0];
		disparity_map[DISPARITY_INDEX_VERT_STRENGTH][tIndex] = lma2_ds[cTile][1];
		clt_mismatch[3*0 + 2][tIndex] = lma2_ds[cTile][1];
		}
		}
		if (extra_stats != null) {
		if (extra_stats[cTile] != null) {
		disparity_map[DISPARITY_INDEX_CM+1][tIndex] = extra_stats[cTile][0];
		disparity_map[DISPARITY_VARIATIONS_INDEX][tIndex] = extra_stats[cTile][2];
		disparity_map[OVEREXPOSED][tIndex] = extra_stats[cTile][3];
		clt_mismatch[3*1 + 2][tIndex] = extra_stats[cTile][0];
		clt_mismatch[3*2 + 2][tIndex] = extra_stats[cTile][2];
		clt_mismatch[3*3 + 2][tIndex] = extra_stats[cTile][3];

		} else {
		disparity_map[DISPARITY_INDEX_CM+1][tIndex] = Double.NaN;
		disparity_map[DISPARITY_VARIATIONS_INDEX][tIndex] = Double.NaN;
		disparity_map[OVEREXPOSED][tIndex] = Double.NaN;
		clt_mismatch[3*1 + 2][tIndex] = Double.NaN;
		clt_mismatch[3*2 + 2][tIndex] = Double.NaN;
		clt_mismatch[3*3 + 2][tIndex] = Double.NaN;
		}
		}
		}
		@@ -2202,9 +2231,7 @@ public class ImageDtt {
		}
		}
		}

		}

		}
		};
		}
		@@ -3073,10 +3100,11 @@ public class ImageDtt {
		tileY ); // int tileY
		double [][] ds = null;
		if (lma2 != null) {
		ds = lma2.disparityStrength(
		imgdtt_params.lma_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lma_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lma_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		ds = lma2.lmaDisparityStrength(
		imgdtt_params.lmas_max_rel_rms, // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		imgdtt_params.lmas_min_strength, // minimal composite strength (sqrt(average amp squared over absolute RMS)
		imgdtt_params.lmas_min_ac, // minimal of A and C coefficients maximum (measures sharpest point/line)
		imgdtt_params.lmas_max_area, //double lma_max_area, // maximal half-area (if > 0.0)
		imgdtt_params.lma_str_scale, // convert lma-generated strength to match previous ones - scale
		imgdtt_params.lma_str_offset // convert lma-generated strength to match previous ones - add to result
		);

src/main/java/com/elphel/imagej/tileprocessor/ImageDttParameters.java

+24 −9

Original line number	Diff line number	Diff line
		@@ -115,6 +115,7 @@ public class ImageDttParameters {
		public double lmas_max_rel_rms = 0.2; // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		public double lmas_min_strength = 1.0; // minimal composite strength (sqrt(average amp squared over absolute RMS)
		public double lmas_min_ac = 0.03; // minimal of a and C coefficients maximum (measures sharpest point/line)
		public double lmas_max_area = 0.0; // maximal half-area (if > 0.0)

		public boolean lma_gaussian = false; // model correlation maximum as a Gaussian (false - as a parabola)
		public boolean lma_second = false; // re-run LMA after removing weak/failed tiles
		@@ -149,9 +150,10 @@ public class ImageDttParameters {
		public double lma_rms_diff = 0.001; //
		public int lma_num_iter = 20; //
		// Filtering and strength calculation
		public double lma_max_rel_rms = 0.2; // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		public double lma_min_strength = 1.0; // minimal composite strength (sqrt(average amp squared over absolute RMS)
		public double lma_min_ac = 0.03; // minimal of a and C coefficients maximum (measures sharpest point/line)
		public double lma_max_rel_rms = 0.12; // maximal relative (to average max/min amplitude LMA RMS) // May be up to 0.3)
		public double lma_min_strength = 1.25; // minimal composite strength (sqrt(average amp squared over absolute RMS)
		public double lma_min_ac = 0.15; // minimal of a and C coefficients maximum (measures sharpest point/line)
		public double lma_max_area = 30.0; // maximal half-area (if > 0.0)

		public double lma_str_scale = 0.2; // convert lma-generated strength to match previous ones - scale
		public double lma_str_offset = 0.05; // convert lma-generated strength to match previous ones - add to result
		@@ -340,6 +342,8 @@ public class ImageDttParameters {
		"Discard tile if composite strength (average amplitude over SQRT of RMS) is below");
		gd.addNumericField("Minimal max (A,C)", this.lmas_min_ac, 6, 8, "",
		"Minimal value of max (A,C) coefficients to keep the tile (measures sharpest point/line correlation maximum)");
		gd.addNumericField("Maximal area", this.lmas_max_area, 6, 8, "sq.pix",
		"Maximal product of maximum half-width by half-height, ignore check if <=0");

		gd.addMessage("Multi-tile (for lazy eye) LMA (some are used for with single-tile mode too)");
		gd.addCheckbox ("Correlation maximum as gaussian", this.lma_gaussian,
		@@ -403,6 +407,8 @@ public class ImageDttParameters {
		"Discard tile if composite strength (average amplitude over SQRT of RMS) is below");
		gd.addNumericField("Minimal max (A,C)", this.lma_min_ac, 6, 8, "",
		"Minimal value of max (A,C) coefficients to keep the tile (measures sharpest point/line correlation maximum)");
		gd.addNumericField("Maximal area", this.lma_max_area, 6, 8, "sq.pix",
		"Maximal product of maximum half-width by half-height, ignore check if <=0");

		gd.addMessage("Correlation strength calculation (match legacy)");
		gd.addNumericField("Composite correlation strength scale", this.lma_str_scale, 6, 8, "",
		@@ -541,6 +547,7 @@ public class ImageDttParameters {
		this.lmas_max_rel_rms = gd.getNextNumber();
		this.lmas_min_strength = gd.getNextNumber();
		this.lmas_min_ac = gd.getNextNumber();
		this.lmas_max_area = gd.getNextNumber();

		this.lma_gaussian= gd.getNextBoolean();
		this.lma_second= gd.getNextBoolean();
		@@ -573,6 +580,8 @@ public class ImageDttParameters {
		this.lma_max_rel_rms = gd.getNextNumber();
		this.lma_min_strength = gd.getNextNumber();
		this.lma_min_ac = gd.getNextNumber();
		this.lma_max_area = gd.getNextNumber();

		this.lma_str_scale = gd.getNextNumber();
		this.lma_str_offset = gd.getNextNumber();

		@@ -674,6 +683,7 @@ public class ImageDttParameters {
		properties.setProperty(prefix+"lmas_max_rel_rms", this.lmas_max_rel_rms +"");
		properties.setProperty(prefix+"lmas_min_strength", this.lmas_min_strength +"");
		properties.setProperty(prefix+"lmas_min_ac", this.lmas_min_ac +"");
		properties.setProperty(prefix+"lmas_max_area", this.lmas_max_area +"");

		properties.setProperty(prefix+"lma_gaussian", this.lma_gaussian +"");
		properties.setProperty(prefix+"lma_second", this.lma_second +"");
		@@ -707,6 +717,7 @@ public class ImageDttParameters {
		properties.setProperty(prefix+"lma_max_rel_rms", this.lma_max_rel_rms +"");
		properties.setProperty(prefix+"lma_min_strength", this.lma_min_strength +"");
		properties.setProperty(prefix+"lma_min_ac", this.lma_min_ac +"");
		properties.setProperty(prefix+"lma_max_area", this.lma_max_area +"");
		properties.setProperty(prefix+"lma_str_scale", this.lma_str_scale +"");
		properties.setProperty(prefix+"lma_str_offset", this.lma_str_offset +"");

		@@ -814,6 +825,7 @@ public class ImageDttParameters {
		if (properties.getProperty(prefix+"lmas_max_rel_rms")!=null) this.lmas_max_rel_rms=Double.parseDouble(properties.getProperty(prefix+"lmas_max_rel_rms"));
		if (properties.getProperty(prefix+"lmas_min_strength")!=null) this.lmas_min_strength=Double.parseDouble(properties.getProperty(prefix+"lmas_min_strength"));
		if (properties.getProperty(prefix+"lmas_min_ac")!=null) this.lmas_min_ac=Double.parseDouble(properties.getProperty(prefix+"lmas_min_ac"));
		if (properties.getProperty(prefix+"lmas_max_area")!=null) this.lmas_max_area=Double.parseDouble(properties.getProperty(prefix+"lmas_max_area"));

		if (properties.getProperty(prefix+"lma_gaussian")!=null) this.lma_gaussian=Boolean.parseBoolean(properties.getProperty(prefix+"lma_gaussian"));
		if (properties.getProperty(prefix+"lma_second")!=null) this.lma_second=Boolean.parseBoolean(properties.getProperty(prefix+"lma_second"));
		@@ -845,6 +857,7 @@ public class ImageDttParameters {
		if (properties.getProperty(prefix+"lma_max_rel_rms")!=null) this.lma_max_rel_rms=Double.parseDouble(properties.getProperty(prefix+"lma_max_rel_rms"));
		if (properties.getProperty(prefix+"lma_min_strength")!=null) this.lma_min_strength=Double.parseDouble(properties.getProperty(prefix+"lma_min_strength"));
		if (properties.getProperty(prefix+"lma_min_ac")!=null) this.lma_min_ac=Double.parseDouble(properties.getProperty(prefix+"lma_min_ac"));
		if (properties.getProperty(prefix+"lma_max_area")!=null) this.lma_max_area=Double.parseDouble(properties.getProperty(prefix+"lma_max_area"));
		if (properties.getProperty(prefix+"lma_str_scale")!=null) this.lma_str_scale=Double.parseDouble(properties.getProperty(prefix+"lma_str_scale"));
		if (properties.getProperty(prefix+"lma_str_offset")!=null) this.lma_str_offset=Double.parseDouble(properties.getProperty(prefix+"lma_str_offset"));

		@@ -943,12 +956,13 @@ public class ImageDttParameters {
		idp.lmas_poly_str_scale = this.lmas_poly_str_scale;
		idp.lmas_poly_str_min = this.lmas_poly_str_min;

		idp.lmas_lambda_initial = this.lma_lambda_initial;
		idp.lmas_rms_diff = this.lma_rms_diff;
		idp.lmas_num_iter = this.lma_num_iter;
		idp.lmas_max_rel_rms= this.lma_max_rel_rms;
		idp.lmas_min_strength= this.lma_min_strength;
		idp.lmas_min_ac= this.lma_min_ac;
		idp.lmas_lambda_initial = this.lmas_lambda_initial;
		idp.lmas_rms_diff = this.lmas_rms_diff;
		idp.lmas_num_iter = this.lmas_num_iter;
		idp.lmas_max_rel_rms= this.lmas_max_rel_rms;
		idp.lmas_min_strength= this.lmas_min_strength;
		idp.lmas_min_ac= this.lmas_min_ac;
		idp.lmas_max_area= this.lmas_max_area;

		idp.lma_gaussian = this.lma_gaussian;
		idp.lma_second = this.lma_second;
		@@ -980,6 +994,7 @@ public class ImageDttParameters {
		idp.lma_max_rel_rms= this.lma_max_rel_rms;
		idp.lma_min_strength= this.lma_min_strength;
		idp.lma_min_ac= this.lma_min_ac;
		idp.lma_max_area= this.lma_max_area;
		idp.lma_str_scale= this.lma_str_scale;
		idp.lma_str_offset= this.lma_str_offset;

src/main/java/com/elphel/imagej/tileprocessor/QuadCLT.java

+36 −6

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src/main/java/com/elphel/imagej/correction/Eyesis_Correction.java

+1 −1

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Contains only whitespace changes.

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