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imagej-elphel
Commit 2d7ac7b8 authored by Andrey Filippov's avatar Andrey Filippov
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debugging "lazy eye". Found residual is due to ERS

parent 30937781
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Showing with 156 additions and 51 deletions
src/main/java/com/elphel/imagej/correction/Eyesis_Correction.java
View file @ 2d7ac7b8
......@@ -4316,7 +4316,7 @@ private Panel panel1,
} else if (label.equals("CLT 4 images") ||
label.equals("CLT apply fine corr") ||
label.equals("CLT infinity corr") ||
label.equals("CORR TEST")) {
label.equals("CORR TEST" )) {
boolean apply_corr = label.equals("CLT apply fine corr");
boolean infinity_corr = label.equals("CLT infinity corr");
DEBUG_LEVEL=MASTER_DEBUG_LEVEL;
......
src/main/java/com/elphel/imagej/tileprocessor/Corr2dLMA.java
View file @ 2d7ac7b8
......@@ -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
View file @ 2d7ac7b8
......@@ -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
View file @ 2d7ac7b8
......@@ -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
View file @ 2d7ac7b8
......@@ -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
View file @ 2d7ac7b8
......@@ -4593,9 +4593,13 @@ public class QuadCLT {
final boolean updateStatus,
final int debugLevel){
final boolean batch_mode = clt_parameters.batch_run; //disable any debug images
boolean advanced= this.correctionsParameters.zcorrect || this.correctionsParameters.equirectangular;
boolean toRGB= advanced? true: this.correctionsParameters.toRGB;
ShowDoubleFloatArrays sdfa_instance = new ShowDoubleFloatArrays(); // just for debugging?
// boolean advanced= this.correctionsParameters.zcorrect || this.correctionsParameters.equirectangular;
// boolean toRGB= advanced? true: this.correctionsParameters.toRGB;
// if (!batch_mode) return null;
// may use this.StartTime to report intermediate steps execution times
// String aux = isAux()?"-AUX":"";
......@@ -4633,13 +4637,39 @@ public class QuadCLT {
setTiles (imp_quad[0], // set global tp.tilesX, tp.tilesY
clt_parameters,
threadsMax);
double [][] disparity_array = tp.setSameDisparity(clt_parameters.disparity); // 0.0); // [tp.tilesY][tp.tilesX] - individual per-tile expected disparity
ShowDoubleFloatArrays sdfa_instance = new ShowDoubleFloatArrays(); // just for debugging?
ImagePlus imp_sel = WindowManager.getCurrentImage();
if ((imp_sel == null) || (imp_sel.getStackSize() != 3)) {
System.out.println("No image / wrong image selected, using infinity");
} else {
System.out.println("Image: "+imp_sel.getTitle());
int width = imp_sel.getWidth();
int height = imp_sel.getHeight();
if ((width != tp.getTilesX()) || (height != tp.getTilesY())) {
System.out.println(String.format("Image size mismatch: width=%d (%d), height=%d(%d)",
width, tp.getTilesX(), height, tp.getTilesY()));
return null;
}
ImageStack stack_sel = imp_sel.getStack();
float [] img_disparity = (float[]) stack_sel.getPixels(1); // first stack is disparity
int indx = 0;
for (int i = 0; i< disparity_array.length; i++){
for (int j = 0; j< disparity_array[0].length; j++){
double d = img_disparity[indx++];
if (!Double.isNaN(d)) { // treat NaN as 0
disparity_array[i][j] += d;
}
}
}
}
// temporary setting up tile task file (one integer per tile, bitmask
// for testing defined for a window, later the tiles to process will be calculated based on previous passes results
int [][] tile_op = tp.setSameTileOp(clt_parameters, clt_parameters.tile_task_op, debugLevel);
double [][] disparity_array = tp.setSameDisparity(clt_parameters.disparity); // 0.0); // [tp.tilesY][tp.tilesX] - individual per-tile expected disparity
// double [][] disparity_array = tp.setSameDisparity(clt_parameters.disparity); // 0.0); // [tp.tilesY][tp.tilesX] - individual per-tile expected disparity
//TODO: Add array of default disparity - use for combining images in force disparity mode (no correlation), when disparity is predicted from other tiles
......@@ -4821,8 +4851,8 @@ public class QuadCLT {
clt_mismatch[3*n+0][ntile] /= clt_mismatch[3*n+2][ntile];
clt_mismatch[3*n+1][ntile] /= clt_mismatch[3*n+2][ntile];
if (n>0) {
double w = disparity_map[ImageDtt.IMG_DIFF0_INDEX+0][ntile];
if ( w < clt_parameters.img_dtt.lma_diff_minw) {
double w = disparity_map[ImageDtt.IMG_DIFF0_INDEX+0][ntile] - clt_parameters.img_dtt.lma_diff_minw;
if ( w < 0.0) {
w = 0.0;
}
clt_mismatch[3*n+2][ntile] = w;
......
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