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Commit 17f7b343 authored by Andrey Filippov's avatar Andrey Filippov
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testing/debugging interscene

parent 58750471
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Showing with 318 additions and 86 deletions
src/main/java/com/elphel/imagej/tileprocessor/ErsCorrection.java
View file @ 17f7b343
......@@ -1959,7 +1959,7 @@ public class ErsCorrection extends GeometryCorrection {
double [] scene_xyz,
double [] scene_atr)
{
Rotation ref_rotation= new Rotation(RotationOrder.YXZ, ROT_CONV, reference_atr[0],reference_atr[1],reference_atr[2]);
Rotation ref_rotation= new Rotation(RotationOrder.YXZ, ROT_CONV, reference_atr[0],reference_atr[1],reference_atr[2]); // null
Rotation scene_rotation= new Rotation(RotationOrder.YXZ, ROT_CONV, scene_atr[0], scene_atr[1], scene_atr[2]);
Vector3D ref_offset = new Vector3D(reference_xyz);
Vector3D scene_offset = new Vector3D(scene_xyz);
......
src/main/java/com/elphel/imagej/tileprocessor/ImageDttCPU.java
View file @ 17f7b343
......@@ -15612,7 +15612,7 @@ public class ImageDttCPU {
// reimplementing from GPU version (will also need upgrade for multi-sensor > 4)
public void quadCorrTD(
public double [][][][][][] quadCorrTD(
final double [][][] image_data, // first index - number of image in a quad
final int width,
final TpTask [] tp_tasks,
......@@ -15634,11 +15634,11 @@ public class ImageDttCPU {
final int height=image_data[0][0].length/width;
final int tilesX=width/transform_size;
final int tilesY=height/transform_size;
// boolean [][] pcombo_sels = null;
if (correlation2d == null){
throw new IllegalArgumentException ("quadCorrTD(): correlation2d == null!");
}
// if (correlation2d == null){
// throw new IllegalArgumentException ("quadCorrTD(): correlation2d == null!");
// }
// Initialize correlation pairs selection to be used by all threads
if (correlation2d != null){
boolean [] corr_calculate = null;
if (isCorrAll (mcorr_sel)) corr_calculate = correlation2d.selectAll();
if (isCorrDia (mcorr_sel)) corr_calculate = correlation2d.selectDiameters (corr_calculate);
......@@ -15648,51 +15648,196 @@ public class ImageDttCPU {
if (isCorrVert (mcorr_sel)) corr_calculate = correlation2d.selectVertical (corr_calculate);
correlation2d.setCorrPairs(corr_calculate); // will limit correlation pairs calculation
// correlation2d.generateResample( // should be called before
// mcorr_comb_width, // combined correlation tile width
// mcorr_comb_height, // combined correlation tile full height
// mcorr_comb_offset, // combined correlation tile height offset: 0 - centered (-height/2 to height/2), height/2 - only positive (0 to height)
// mcorr_comb_disp);
/*
pcombo_sels = new boolean [Correlation2d.MCORR_COMB.values().length][];
if (imgdtt_params.mcorr_cons_all) {
int indx = Correlation2d.MCORR_COMB.ALL.ordinal();
pcombo_sels[indx] = correlation2d.selectAll();
boolean [] calc_corr_pairs = correlation2d.getCorrPairs();
for (int i = 0; i < calc_corr_pairs.length; i++) if (calc_corr_pairs[i]){
dcorr_td[i] = new double[tilesY][tilesX][][];
}
if (imgdtt_params.mcorr_cons_dia) {
int indx = Correlation2d.MCORR_COMB.DIA.ordinal();
pcombo_sels[indx] = correlation2d.selectDiameters(null);
}
if (imgdtt_params.mcorr_cons_sq) {
int indx = Correlation2d.MCORR_COMB.SQ.ordinal();
pcombo_sels[indx] = correlation2d.selectSquares(null);
// final int numcol = isMonochrome()?1:3;
final int numcol = 3; // number of colors // keep the same, just do not use [0] and [1], [2] - green
final double [] col_weights= new double [numcol]; // colors are RBG
if (isMonochrome()) {
col_weights[2] = 1.0;// green color/mono
col_weights[0] = 0;
col_weights[1] = 0;
} else {
col_weights[2] = 1.0/(1.0 + corr_red + corr_blue); // green color
col_weights[0] = corr_red * col_weights[2];
col_weights[1] = corr_blue * col_weights[2];
}
if (imgdtt_params.mcorr_cons_neib) {
int indx = Correlation2d.MCORR_COMB.NEIB.ordinal();
pcombo_sels[indx] = correlation2d.selectNeibs(null);
final double [] filter_rb = isMonochrome() ? null: doubleGetCltLpfFd(imgdtt_params.pcorr_sigma_rb);
DttRad2 dtt = new DttRad2(transform_size);
dtt.set_window(window_type);
final double [] lt_window = dtt.getWin2d(); // [256]
final double [] lt_window2 = new double [lt_window.length]; // squared
for (int i = 0; i < lt_window.length; i++) lt_window2[i] = lt_window[i] * lt_window[i];
if (globalDebugLevel > 1) {
ShowDoubleFloatArrays sdfa_instance = new ShowDoubleFloatArrays(); // just for debugging?
sdfa_instance.showArrays(lt_window, 2*transform_size, 2*transform_size, "lt_window");
}
final double [][][][][][] clt_data = new double[numSensors][numcol][tilesY][tilesX][][];
final Thread[] threads = newThreadArray(threadsMax);
final AtomicInteger ai = new AtomicInteger(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
@Override
public void run() {
DttRad2 dtt = new DttRad2(transform_size);
dtt.set_window(window_type);
int tileY,tileX; // ,tIndex; // , chn;
double [][] fract_shiftsXY = new double[numSensors][];
for (int iTile = ai.getAndIncrement(); iTile < tp_tasks.length; iTile = ai.getAndIncrement()) if (tp_tasks[iTile].getTask() != 0) {
tileY = tp_tasks[iTile].getTileY(); // /tilesX;
tileX = tp_tasks[iTile].getTileX(); //nTile % tilesX;
/*
int img_mask = 0xf; // getImgMask(tile_op[tileY][tileX]); // which images to use
if (numSensors > 4) {
if (img_mask == 0xf) {
for (int i = 0; i < numSensors; i++){
img_mask |= 1 << i;
}
if (imgdtt_params.mcorr_cons_hor) {
int indx = Correlation2d.MCORR_COMB.HOR.ordinal();
pcombo_sels[indx] = correlation2d.selectHorizontal(null);
}
if (imgdtt_params.mcorr_cons_vert) {
int indx = Correlation2d.MCORR_COMB.VERT.ordinal();
pcombo_sels[indx] = correlation2d.selectVertical(null);
}
*/
boolean [] calc_corr_pairs = correlation2d.getCorrPairs();
for (int i = 0; i < calc_corr_pairs.length; i++) if (calc_corr_pairs[i]){
dcorr_td[i] = new double[tilesY][tilesX][][];
// boolean debugTile =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -1);
// boolean debugTile0 =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -3);
// TODO: move port coordinates out of color channel loop
double [][] centersXY = tp_tasks[iTile].getDoubleXY();// isAux());
// save disparity distortions for visualization:
// TODO: use correction after disparity applied (to work for large disparity values)
// See if macro_mode uses color channels for non-color?
for (int ncol = 0; ncol <numcol; ncol++) {
if (!isMonochrome() || (ncol == MONO_CHN)) { // in monochrome mode skip all non-mono (green) channels // used in lwir (5 of 6 branches)
for (int i = 0; i < numSensors; i++) {
clt_data[i][ncol][tileY][tileX] = new double [4][];
// Extract image tiles and kernels, correct aberrations, return (ut do not apply) fractional shifts
fract_shiftsXY[i] = extract_correct_tile( // return a pair of residual offsets
image_data[i],
width, // image width
((clt_kernels == null) ? null : clt_kernels[i]), // [color][tileY][tileX][band][pixel]
clt_data[i][ncol][tileY][tileX], //double [][] clt_tile, // should be double [4][];
kernel_step,
dtt,
ncol,
centersXY[i][0], // centerX, // center of aberration-corrected (common model) tile, X
centersXY[i][1], // centerY, //
0, // ((!FPGA_COMPARE_DATA && (globalDebugLevel > -1) && (tileX == debug_tileX) && (tileY == debug_tileY) && (ncol == 2) && (i==0)) ? (globalDebugLevel + 0) : 0), // external tile compare
false, // no_deconvolution,
false, // ); // transpose);
null, //final boolean [][] saturation_imp, // (near) saturated pixels or null
null); // final double [] overexposed)
} // for (int i = 0; i < quad; i++)
if ((globalDebugLevel > -1) && (tileX == debug_tileX) && (tileY == debug_tileY) && (ncol == 2)) {
System.out.println();
}
// apply residual shift
for (int i = 0; i < numSensors; i++) {
fract_shift( // fractional shift in transform domain. Currently uses sin/cos - change to tables with 2? rotations
clt_data[i][ncol][tileY][tileX], // double [][] clt_tile,
fract_shiftsXY[i][0], // double shiftX,
fract_shiftsXY[i][1], // double shiftY,
false);
}
} else { // if (!isMonochrome() || (chn == MONO_CHN) || macro_mode) { // in monochrome mode skip all non-mono (green) channels
for (int i = 0; i < numSensors; i++) { // used in lwir
clt_data[i][ncol] = null; // erase unused clt_data
}
}
}// end of for (int chn = 0; chn <numcol; chn++)
// all color channels are done here
if (correlation2d != null) { // will only calculate clt_data
// calculate all selected pairs correlations
// change filter for lpf_rb (null for mono)
double [][][] corr_tiles_td = correlation2d.correlateCompositeTD(
clt_data, // double [][][][][][] clt_data,
tileX, // int tileX,
tileY, // int tileY,
correlation2d.getCorrPairs(), // boolean [] pairs_mask,
filter_rb, // double [] lpf_rb, // extra lpf for red and blue (unused for mono) or null
getScaleStrengths(), // double scale_value, // scale correlation value
col_weights); // double [] col_weights)
for (int pair = 0; pair < corr_tiles_td.length; pair++) if (corr_tiles_td[pair] != null) {
dcorr_td[pair][tileY][tileX] = corr_tiles_td[pair];
}
}
}
}
};
}
startAndJoin(threads);
return clt_data;
}
/*
if (dcorr_combo_td != null) {
for (int i = 0; i < pcombo_sels.length; i++) if (pcombo_sels[i] != null){
dcorr_combo_td[i] = new double[tilesY][tilesX][];
public double [][] quadCorrTD_tilted( // process tilted multiframe, returns per-tile weights (for fat zero application)
final double [][][] image_data, // first index - number of image in a quad
final int width,
final TpTask [] tp_tasks, // should exclude strong tiles (e.g. having disparity_lma)
final ImageDttParameters imgdtt_params, // Now just extra correlation parameters, later will include, most others
final double [][][][][] dcorr_td, // [pair][tilesY][tilesX][4][64] sparse transform domain representation of corr pairs
final double [][][][][][] clt_kernels, // [channel_in_quad][color][tileY][tileX][band][pixel] , size should match image (have 1 tile around)
final int kernel_step,
final int window_type,
final double corr_red,
final double corr_blue,
final int clustRadius, // 1 - single tile, 2 - 3x3, 3 - 5x5, ...
final double arange, // absolute disparity range to consolidate
final double rrange, // relative disparity range to consolidate
final double no_tilt, // no tilt if center disparity is lower
final double damp_tilt, // 0.1?
final int mcorr_sel, // Which pairs to correlate // +1 - all, +2 - dia, +4 - sq, +8 - neibs, +16 - hor + 32 - vert
final int debug_tileX,
final int debug_tileY,
final int threadsMax, // maximal number of threads to launch
final int globalDebugLevel)
{
final int height=image_data[0][0].length/width;
final int tilesX=width/transform_size;
final int tilesY=height/transform_size;
final double [][] tile_weights = new double [tilesY][tilesX];
final TpTask [][] tp_tasks_full = new TpTask[tilesY][tilesX];
final double [] damping = {damp_tilt, damp_tilt, 0.0}; // 0.0 will be applied to average value, tilt_cost - to both tilts
final int clustDiameter = 2 * clustRadius - 1;
final int center_indx = (clustRadius - 1) * (clustDiameter + 1);
final double [] wnd_neib = new double [clustDiameter * clustDiameter];
for (int iy = 0; iy < clustDiameter; iy++) {
double wy = Math.sin(Math.PI *(iy+1) / (clustDiameter + 1));
for (int ix = 0; ix < clustDiameter; ix++) {
wnd_neib[iy * clustDiameter + ix] = wy * Math.sin(Math.PI *(ix+1) / (clustDiameter + 1));
}
}
final boolean [][] combo_sels = pcombo_sels;
*/
// if (correlation2d == null){
// throw new IllegalArgumentException ("quadCorrTD(): correlation2d == null!");
// }
// Initialize correlation pairs selection to be used by all threads
if (correlation2d != null){
boolean [] corr_calculate = null;
if (isCorrAll (mcorr_sel)) corr_calculate = correlation2d.selectAll();
if (isCorrDia (mcorr_sel)) corr_calculate = correlation2d.selectDiameters (corr_calculate);
if (isCorrSq (mcorr_sel)) corr_calculate = correlation2d.selectSquares (corr_calculate);
if (isCorrNeib (mcorr_sel)) corr_calculate = correlation2d.selectNeibs (corr_calculate);
if (isCorrHor (mcorr_sel)) corr_calculate = correlation2d.selectHorizontal (corr_calculate);
if (isCorrVert (mcorr_sel)) corr_calculate = correlation2d.selectVertical (corr_calculate);
correlation2d.setCorrPairs(corr_calculate); // will limit correlation pairs calculation
boolean [] calc_corr_pairs = correlation2d.getCorrPairs();
for (int i = 0; i < calc_corr_pairs.length; i++) if (calc_corr_pairs[i]){
dcorr_td[i] = new double[tilesY][tilesX][][];
}
}
// final int numcol = isMonochrome()?1:3;
final int numcol = 3; // number of colors // keep the same, just do not use [0] and [1], [2] - green
......@@ -15707,7 +15852,6 @@ public class ImageDttCPU {
col_weights[1] = corr_blue * col_weights[2];
}
// final double [] filter = doubleGetCltLpfFd(corr_sigma);
final double [] filter_rb = isMonochrome() ? null: doubleGetCltLpfFd(imgdtt_params.pcorr_sigma_rb);
DttRad2 dtt = new DttRad2(transform_size);
......@@ -15732,21 +15876,90 @@ public class ImageDttCPU {
DttRad2 dtt = new DttRad2(transform_size);
dtt.set_window(window_type);
int tileY,tileX; // ,tIndex; // , chn;
double [][] fract_shiftsXY = new double[numSensors][];
for (int iTile = ai.getAndIncrement(); iTile < tp_tasks.length; iTile = ai.getAndIncrement()) {
for (int iTile = ai.getAndIncrement(); iTile < tp_tasks.length; iTile = ai.getAndIncrement()) if (tp_tasks[iTile].getTask() != 0){
tileY = tp_tasks[iTile].getTileY(); // /tilesX;
tileX = tp_tasks[iTile].getTileX(); //nTile % tilesX;
if (tp_tasks[iTile].getTask() == 0) continue; // nothing to do for this tile
int img_mask = 0xf; // getImgMask(tile_op[tileY][tileX]); // which images to use
if (numSensors > 4) {
if (img_mask == 0xf) {
for (int i = 0; i < numSensors; i++){
img_mask |= 1 << i;
tp_tasks_full[tileY][tileX] = tp_tasks[iTile];
}
}
};
}
boolean debugTile =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -1);
boolean debugTile0 =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -3);
startAndJoin(threads);
ai.set(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
@Override
public void run() {
DttRad2 dtt = new DttRad2(transform_size);
dtt.set_window(window_type);
int tileYC,tileXC; // ,tIndex; // , chn;
double [][] fract_shiftsXY = new double[numSensors][];
PolynomialApproximation pa = new PolynomialApproximation();
TileNeibs tn = new TileNeibs(tilesX,tilesY);
double [][][][] clt_data_tile = new double[numSensors][numcol][][];
for (int iTile = ai.getAndIncrement(); iTile < tp_tasks.length; iTile = ai.getAndIncrement()) if (tp_tasks[iTile].getTask() != 0){
tileYC = tp_tasks[iTile].getTileY(); // /tilesX;
tileXC = tp_tasks[iTile].getTileX(); //nTile % tilesX;
boolean debugTile =(tileXC == debug_tileX) && (tileYC == debug_tileY) && (globalDebugLevel > -1);
boolean debugTile0 =(tileXC == debug_tileX) && (tileYC == debug_tileY) && (globalDebugLevel > -3);
double [][] centersXY = tp_tasks[iTile].getDoubleXY();// isAux());
if (debugTile0) {
System.out.println("tileXC = "+tileXC+", tileYC = "+tileYC);
}
//calculate tilts
TileNeibs tn = new TileNeibs(tilesX,tilesY);
boolean [] used_neibs = new boolean [clustDiameter * clustDiameter];
double disparity_center = disparity_array[tileYC][tileXC];
double disp_min = disparity_center - arange - rrange * Math.abs(disparity_center);
double disp_max = disparity_center + arange + rrange * Math.abs(disparity_center);
double tiltY = 0, tiltX=0;
double [][][] mdata = new double [wnd_neib.length][][]; // now empty lines will be skipped [3][];
double sum_w = 0.0;
for (int dty = -clustRadius+1; dty < clustRadius; dty++) {
for (int dtx = -clustRadius+1; dtx < clustRadius; dtx++) {
int nTile1 = tn.getNeibIndex(nTileC, dtx, dty);
if (nTile1 >= 0){
int tileX1 = nTile1 % tilesX;
int tileY1 = nTile1 / tilesX;
if ((tile_op[tileY1][tileX1] != 0) && (disparity_array[tileY1][tileX1] >= disp_min) && (disparity_array[tileY1][tileX1] <= disp_max)){
int mindx = (dty * clustDiameter + dtx + center_indx);
used_neibs[mindx] = true;
double w = wnd_neib[mindx];
mdata[mindx] = new double[3][];
mdata[mindx][0] = new double [2];
mdata[mindx][0][0] = dtx;
mdata[mindx][0][1] = dty;
mdata[mindx][1] = new double [1];
mdata[mindx][1][0] = disparity_array[tileY1][tileX1];
mdata[mindx][2] = new double [1];
mdata[mindx][2][0] = w;
sum_w += w;
}
}
}
}
double scale_weighths = 1.0/sum_w;
if (disparity_center > no_tilt) {
double[][] approx2d = pa.quadraticApproximation(
mdata,
true, // boolean forceLinear, // use linear approximation
damping, // double [] damping,
-1); // debug level
if (approx2d != null){
tiltX = approx2d[0][0];
tiltY = approx2d[0][1]; // approx2d[0][2] - const C (A*x+B*y+C), C is not used here
}
// if (num_tiles == 0) {
// continue; // should never happen anyway
// }
}
// boolean debugTile =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -1);
// boolean debugTile0 =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -3);
// TODO: move port coordinates out of color channel loop
double [][] centersXY = tp_tasks[iTile].getDoubleXY();// isAux());
......@@ -15798,8 +16011,8 @@ public class ImageDttCPU {
}
}// end of for (int chn = 0; chn <numcol; chn++)
// all color channels are done here
if (correlation2d != null) { // will only calculate clt_data
// calculate all selected pairs correlations
// change filter for lpf_rb (null for mono)
double [][][] corr_tiles_td = correlation2d.correlateCompositeTD(
clt_data, // double [][][][][][] clt_data,
......@@ -15809,17 +16022,29 @@ public class ImageDttCPU {
filter_rb, // double [] lpf_rb, // extra lpf for red and blue (unused for mono) or null
getScaleStrengths(), // double scale_value, // scale correlation value
col_weights); // double [] col_weights)
for (int pair = 0; pair < corr_tiles_td.length; pair++) if (corr_tiles_td[pair] != null) {
dcorr_td[pair][tileY][tileX] = corr_tiles_td[pair];
}
}
}
}
};
}
startAndJoin(threads);
return tile_weights;
}
*/
public void clt_process_tl_correlations( // convert to pixel domain and process correlations already prepared in fcorr_td and/or fcorr_combo_td
final ImageDttParameters imgdtt_params, // Now just extra correlation parameters, later will include, most others
final TpTask [] tp_tasks, // data from the reference frame - will be applied to LMW for the integrated correlations
......
src/main/java/com/elphel/imagej/tileprocessor/OpticalFlow.java
View file @ 17f7b343
......@@ -644,7 +644,7 @@ public class OpticalFlow {
-1); //final int debug_level)
double this_min_change = min_change; // (ntry < num_run_all)? 0.0: min_change;
boolean ignore_worsening = ntry < num_ignore_worsening; // (num_run_all + 10);
if (debug_level > 0) {
if (debug_level > 0) { //-2) { // was >0
System.out.println("======== NTRY "+ntry +" ========");
}
flowXY_run = recalculateFlowXY(
......@@ -1517,7 +1517,7 @@ public class OpticalFlow {
}
int iwidth = imax_tX - imin_tX + 1;
int iheight = imax_tY - imin_tY + 1;
double [][] scene_slices = new double [dsrbg_scene.length][iwidth*iheight];
double [][] scene_slices = new double [dsrbg_scene.length][iwidth*iheight]; //OOM here
for (int iY = 0; iY < iheight; iY++) {
int tY = imin_tY + iY;
if ((tY >= 0) && (tY < tilesY)) {
......@@ -3054,6 +3054,7 @@ public class OpticalFlow {
// modify LMA parameters to freeze reference ERS, remove pull on scene ERS
boolean[] param_select2 = clt_parameters.ilp.ilma_lma_select.clone(); // final boolean[] param_select,
double [] param_regweights2 = clt_parameters.ilp.ilma_regularization_weights; // final double [] param_regweights,
boolean delete_scene_asap = (debug_level < 10); // to save memory
// freeze reference ERS, free scene ERS
for (int j = 0; j <3; j++) {
param_select2[ErsCorrection.DP_DVX + j] = false;
......@@ -3076,10 +3077,10 @@ public class OpticalFlow {
double [] new_from_last_atr = ers_scene_last_known.getSceneATR(scene_ts);
// combine two rotations and two translations
System.out.println("Processing scene "+i);
double [][] combo_XYZATR = ErsCorrection.combineXYZATR(
last_known_xyz, // double [] reference_xyz,
last_known_atr, // double [] reference_atr,
last_known_atr, // double [] reference_atr, // null?
new_from_last_xyz, // double [] scene_xyz,
new_from_last_atr); // double [] scene_atr)
......@@ -3114,12 +3115,17 @@ public class OpticalFlow {
System.out.println("Pass multi scene "+i+" (of "+ scenes.length+") "+
reference_QuadClt.getImageName() + "/" + scene_QuadClt.getImageName()+" Done.");
}
if (delete_scene_asap) {
scenes[i+1] = null;
}
// Runtime.getRuntime().gc();
// System.out.println("Scene "+i+", --- Free memory="+Runtime.getRuntime().freeMemory()+" (of "+Runtime.getRuntime().totalMemory()+")");
}
reference_QuadClt.saveInterProperties( // save properties for interscene processing (extrinsics, ers, ...)
null, // String path, // full name with extension or w/o path to use x3d directory
debug_level+1);
if (debug_level > -1) {
if (!delete_scene_asap && (debug_level > -1)) {
System.out.println("adjustSeries(): preparing image set...");
int nscenes = scenes.length;
int indx_ref = nscenes - 1;
......
src/main/java/com/elphel/imagej/tileprocessor/QuadCLTCPU.java
View file @ 17f7b343
......@@ -5525,7 +5525,7 @@ public class QuadCLTCPU {
tilesX*(2*image_dtt.transform_size),
tilesY*(2*image_dtt.transform_size),
true,
image_name+sAux()+"-CORR-D"+clt_parameters.disparity,
image_name+sAux()+"-CORR-D"+clt_parameters.disparity+"-FZ"+clt_parameters.getFatZero(isMonochrome()),
titles);
}
}
......@@ -5545,7 +5545,7 @@ public class QuadCLTCPU {
tilesX * (clt_parameters.img_dtt.mcorr_comb_width + 1),
tilesY * (clt_parameters.img_dtt.mcorr_comb_height + 1),
true,
image_name+sAux()+"-COMBO-D"+clt_parameters.disparity,
image_name+sAux()+"-COMBO-D"+clt_parameters.disparity+"-FZ"+clt_parameters.getFatZero(isMonochrome()),
titles);
}
}
......
src/main/java/com/elphel/imagej/tileprocessor/TwoQuadCLT.java
View file @ 17f7b343
......@@ -909,7 +909,7 @@ public class TwoQuadCLT {
tilesX*(2*image_dtt.transform_size),
tilesY*(2*image_dtt.transform_size),
true,
name + "-CORR-D"+clt_parameters.disparity,
name + "-CORR-D"+clt_parameters.disparity+"-FZ"+clt_parameters.getFatZero(quadCLT_main.isMonochrome()),
titles );
}
}
......@@ -1799,7 +1799,8 @@ public class TwoQuadCLT {
tilesX*(2*image_dtt.transform_size),
tilesY*(2*image_dtt.transform_size),
true,
name + "-CORR-D"+clt_parameters.disparity,
name + "-CORR-D"+clt_parameters.disparity+"-FZ"+clt_parameters.getFatZero(quadCLT_main.isMonochrome()),
titles );
}
}
......
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