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imagej-elphel
Commit a74958ee authored by Andrey Filippov's avatar Andrey Filippov
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more experimenting and visualizations of the inter-scene

parent 61e720a6
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Showing with 1007 additions and 86 deletions
src/main/java/com/elphel/imagej/cameras/CLTParameters.java
View file @ a74958ee
......@@ -800,19 +800,21 @@ public class CLTParameters {
public boolean taEnMismatch = false; // Enable cost of a measurement layer not having same layer in the same location or near
// gpu processing parameters
public double gpu_corr_scale = 0.75; // reduce GPU-generated correlation values
public int gpu_corr_rad = 7; // size of the correlation to save - initially only 15x15
public double gpu_weight_r = 0.5; // 25;
public double gpu_weight_b = 0.2; // 0.25; // weight g = 1.0 - gpu_weight_r - gpu_weight_b
public double gpu_sigma_r = 0.9; // 1.1;
public double gpu_sigma_b = 0.9; // 1.1;
public double gpu_sigma_g = 0.6; // 0.7;
public double gpu_sigma_m = 0.4; // 0.7;
public double gpu_sigma_rb_corr = 0.3; // apply LPF after accumulating R and B correlation before G,
public double gpu_sigma_corr = 0.8;
public double gpu_sigma_corr_m = 0.15;
public double gpu_fatz = 500.0; // was 30
public double gpu_fatz_m = 500.0; // was 30
public double gpu_corr_scale = 0.75; // reduce GPU-generated correlation values
public int gpu_corr_rad = 7; // size of the correlation to save - initially only 15x15
public double gpu_weight_r = 0.5; // 25;
public double gpu_weight_b = 0.2; // 0.25; // weight g = 1.0 - gpu_weight_r - gpu_weight_b
public double gpu_sigma_r = 0.9; // 1.1;
public double gpu_sigma_b = 0.9; // 1.1;
public double gpu_sigma_g = 0.6; // 0.7;
public double gpu_sigma_m = 0.4; // 0.7;
public double gpu_sigma_rb_corr = 0.3; // apply LPF after accumulating R and B correlation before G,
public double gpu_sigma_corr = 0.8;
public double gpu_sigma_corr_m = 0.15;
public double gpu_sigma_log_corr = 3.0; // fill in after testing
public double gpu_sigma_log_corr_m = 3.0; // fill in after testing
public double gpu_fatz = 500.0; // was 30
public double gpu_fatz_m = 500.0; // was 30
public boolean gpu_woi = false; // if true - use gpu_woi_tx, ...
public int gpu_woi_tx = 0;
......@@ -908,6 +910,10 @@ public class CLTParameters {
return monochrome ? gpu_sigma_corr_m : gpu_sigma_corr;
}
public double getGpuCorrLoGSigma(boolean monochrome) {
return monochrome ? gpu_sigma_log_corr_m : gpu_sigma_log_corr;
}
public double getGpuCorrRBSigma(boolean monochrome) {
return monochrome ? 1.0 : gpu_sigma_rb_corr;
}
......@@ -1648,6 +1654,8 @@ public class CLTParameters {
properties.setProperty(prefix+"gpu_sigma_rb_corr", this.gpu_sigma_rb_corr +"");
properties.setProperty(prefix+"gpu_sigma_corr", this.gpu_sigma_corr +"");
properties.setProperty(prefix+"gpu_sigma_corr_m", this.gpu_sigma_corr_m +"");
properties.setProperty(prefix+"gpu_sigma_log_corr", this.gpu_sigma_log_corr +"");
properties.setProperty(prefix+"gpu_sigma_log_corr_m", this.gpu_sigma_log_corr_m +"");
properties.setProperty(prefix+"gpu_fatz", this.gpu_fatz +"");
properties.setProperty(prefix+"gpu_fatz_m", this.gpu_fatz_m +"");
......@@ -2468,6 +2476,8 @@ public class CLTParameters {
if (properties.getProperty(prefix+"gpu_sigma_rb_corr")!=null) this.gpu_sigma_rb_corr=Double.parseDouble(properties.getProperty(prefix+"gpu_sigma_rb_corr"));
if (properties.getProperty(prefix+"gpu_sigma_corr")!=null) this.gpu_sigma_corr=Double.parseDouble(properties.getProperty(prefix+"gpu_sigma_corr"));
if (properties.getProperty(prefix+"gpu_sigma_corr_m")!=null) this.gpu_sigma_corr_m=Double.parseDouble(properties.getProperty(prefix+"gpu_sigma_corr_m"));
if (properties.getProperty(prefix+"gpu_sigma_log_corr")!=null) this.gpu_sigma_log_corr=Double.parseDouble(properties.getProperty(prefix+"gpu_sigma_log_corr"));
if (properties.getProperty(prefix+"gpu_sigma_log_corr_m")!=null) this.gpu_sigma_log_corr_m=Double.parseDouble(properties.getProperty(prefix+"gpu_sigma_log_corr_m"));
if (properties.getProperty(prefix+"gpu_fatz")!=null) this.gpu_fatz=Double.parseDouble(properties.getProperty(prefix+"gpu_fatz"));
if (properties.getProperty(prefix+"gpu_fatz_m")!=null) this.gpu_fatz_m=Double.parseDouble(properties.getProperty(prefix+"gpu_fatz_m"));
......@@ -3475,6 +3485,12 @@ public class CLTParameters {
"LPF sigma to apply to the composite 2D correlation for RGB images");
gd.addNumericField("LPF sigma for correlation, mono", this.gpu_sigma_corr_m, 4, 6,"pix",
"LPF sigma to apply to the composite 2D correlation for monochrome images");
gd.addNumericField("LoG sigma for correlation, color", this.gpu_sigma_log_corr, 4, 6,"pix",
"Use LoG filter to reduce dynamic range of the correlation input to fit into float range");
gd.addNumericField("LoG sigma for correlation, mono", this.gpu_sigma_log_corr_m, 4, 6,"pix",
"Use LoG filter to reduce dynamic range of the correlation input to fit into float range");
gd.addNumericField("Fat zero (absolute) for phase correlation of color images", this.gpu_fatz, 4, 6,"",
"Add squared fat zero to the sum of squared amplitudes, color images");
gd.addNumericField("Fat zero (absolute) for phase correlation of monochrome images", this.gpu_fatz_m, 4, 6,"",
......@@ -4287,6 +4303,8 @@ public class CLTParameters {
this.gpu_sigma_rb_corr = gd.getNextNumber();
this.gpu_sigma_corr = gd.getNextNumber();
this.gpu_sigma_corr_m = gd.getNextNumber();
this.gpu_sigma_log_corr = gd.getNextNumber();
this.gpu_sigma_log_corr_m = gd.getNextNumber();
this.gpu_fatz = gd.getNextNumber();
this.gpu_fatz_m = gd.getNextNumber();
......
src/main/java/com/elphel/imagej/tileprocessor/ImageDtt.java
View file @ a74958ee
......@@ -669,8 +669,9 @@ public class ImageDtt extends ImageDttCPU {
final double gpu_sigma_b, // 0.9, 1.1
final double gpu_sigma_g, // 0.6, 0.7
final double gpu_sigma_m, // = 0.4; // 0.7;
final double gpu_sigma_rb_corr, // = 0.5; // apply LPF after accumulating R and B correlation before G, monochrome ? 1.0 :
final double gpu_sigma_corr, // = 0.9;gpu_sigma_corr_m
final double gpu_sigma_rb_corr, // = 0.5; // apply LPF after accumulating R and B correlation before G, monochrome ? 1.0 :
final double gpu_sigma_corr, // = 0.9;gpu_sigma_corr_m
final double gpu_sigma_log_corr, // hpf to reduce dynamic range for correlations
final double corr_red, // +used
final double corr_blue,// +used
final int threadsMax, // maximal number of threads to launch
......@@ -722,6 +723,42 @@ public class ImageDtt extends ImageDttCPU {
"lpf_rb_corr", // String const_name, // "lpf_corr"
lpf_rb_flat,
globalDebugLevel > -1);
final float [] log_flat = floatGetCltHpfFd(gpu_sigma_log_corr);
if (globalDebugLevel < -100) {
double dbg_sum = 0.0;
for (int i = 0; i < log_flat.length; i++) dbg_sum +=log_flat[i];
System.out.println("dbg_sum("+gpu_sigma_log_corr+")="+dbg_sum);
(new ShowDoubleFloatArrays()).showArrays(
log_flat,
8,
8,
"hpf_"+gpu_sigma_log_corr);
final float [] log_flat0 = floatGetCltHpfFd(4.0);
dbg_sum = 0.0;
for (int i = 0; i < log_flat.length; i++) dbg_sum +=log_flat0[i];
System.out.println("dbg_sum("+4.0+")="+dbg_sum);
(new ShowDoubleFloatArrays()).showArrays(
log_flat0,
8,
8,
"hpf_"+4.0);
final float [] log_flat1 = floatGetCltHpfFd(1.0);
dbg_sum = 0.0;
for (int i = 0; i < log_flat.length; i++) dbg_sum +=log_flat1[i];
System.out.println("dbg_sum("+1.0+")="+dbg_sum);
(new ShowDoubleFloatArrays()).showArrays(
log_flat1,
8,
8,
"hpf_"+1.0);
System.out.println("dbg_sum("+1.0+")="+dbg_sum);
}
gpuQuad.setLpfCorr(// constants memory - same for all cameras
"LoG_corr", // String const_name, // "lpf_corr"
log_flat,
globalDebugLevel > -1);
gpuQuad.setTasks( // copy tp_tasks to the GPU memory
tp_tasks, // TpTask [] tile_tasks,
......@@ -1419,7 +1456,8 @@ public class ImageDtt extends ImageDttCPU {
// each of the top elements may be null to skip particular combo type
final double [][][][] corr_tiles, // [tilesY][tilesX][pair][] ([(2*gpu_corr_rad+1)*(2*gpu_corr_rad+1)]) or null
final double [][][][][] clt_corr_partial,// [tilesY][tilesX][quad]color][(2*transform_size-1)*(2*transform_size-1)] // if null - will not calculate
// [tilesY][tilesX] should be set by caller
// [tilesY][tilesX] should be set by caller
final float [][][] fcorr_tiles, // [tile][index][(2*transform_size-1)*(2*transform_size-1)] // if null - will not calculate
// When clt_mismatch is non-zero, no far objects extraction will be attempted
final double [][] clt_mismatch, // [12][tilesY * tilesX] // ***** transpose unapplied ***** ?. null - do not calculate
// values in the "main" directions have disparity (*_CM) subtracted, in the perpendicular - as is
......@@ -1436,6 +1474,7 @@ public class ImageDtt extends ImageDttCPU {
final int threadsMax, // maximal number of threads to launch
final int globalDebugLevel)
{
final float gpu_fcorr_scale = (float) gpu_corr_scale;
if (this.gpuQuad == null) {
System.out.println("clt_aberrations_quad_corr_GPU(): this.gpuQuad is null, bailing out");
return;
......@@ -1642,14 +1681,12 @@ public class ImageDtt extends ImageDttCPU {
// double [][] corrs = new double [GPUTileProcessor.NUM_PAIRS][corr_length]; // 225-long (15x15)
// added quad and cross combos
double [][] corrs = new double [GPUTileProcessor.NUM_PAIRS + num_combo][corr_length]; // 225-long (15x15)
float [][] fcorrs = (fcorr_tiles == null) ? null : new float [GPUTileProcessor.NUM_PAIRS + num_combo][corr_length]; // 225-long (15x15)
int indx_corr = indx_tile * num_tile_corr;
int nt = (corr_indices[indx_corr] >> GPUTileProcessor.CORR_NTILE_SHIFT);
int tileX = nt % tilesX;
int tileY = nt / tilesX;
int tIndex = tileY * tilesX + tileX;
// if (tileY >= 122) {
// System.out.println("tileY="+tileY+" tileX="+tileX);
// }
// Prepare the same (currently 10-layer) corrs as double [][], as in CPU version
int pair_mask = 0;
......@@ -1661,6 +1698,9 @@ public class ImageDtt extends ImageDttCPU {
for (int i = 0; i < corr_length; i++) {
corrs[pair][i] = gpu_corr_scale * fcorr2D[indx_corr][i]; // from float to double
}
if (fcorrs != null) for (int i = 0; i < corr_length; i++) {
fcorrs[pair][i] = gpu_fcorr_scale * fcorr2D[indx_corr][i];
}
indx_corr++;
}
}
......@@ -1672,18 +1712,25 @@ public class ImageDtt extends ImageDttCPU {
for (int i = 0; i < corr_length; i++) {
corrs[pair][i] = gpu_corr_scale * fcorr2D_combo[ncm][indx_tile][i]; // from float to double
}
if (fcorrs != null) for (int i = 0; i < corr_length; i++) {
fcorrs[pair][i] = gpu_fcorr_scale * fcorr2D_combo[ncm][indx_tile][i];
}
}
}
if (corr_tiles != null) {
corr_tiles[tileY][tileX] = corrs;
}
if (fcorr_tiles != null) {
fcorr_tiles[tileY * tilesX + tileX] = fcorrs; // does not require corr_common_GPU()
}
if ((disparity_map != null) || (clt_corr_partial != null) || (clt_mismatch != null)) {
int used_pairs = pair_mask; // imgdtt_params.dbg_pair_mask; //TODO: use tile tasks
int tile_lma_debug_level = ((tileX == debug_tileX) && (tileY == debug_tileY))? (imgdtt_params.lma_debug_level-1) : -2;
boolean debugTile =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -1);
corr_common_GPU(
imgdtt_params, // final ImageDttParameters imgdtt_params,
clt_corr_partial, // final double [][][][][] clt_corr_partial,
clt_corr_partial, // final double [][][][][] clt_corr_partial,
used_pairs, // final int used_pairs,
disparity_map, // final double [][] disparity_map,
clt_mismatch, // final double [][] clt_mismatch,
......@@ -1743,7 +1790,7 @@ public class ImageDtt extends ImageDttCPU {
public void corr_common_GPU(
final ImageDttParameters imgdtt_params,
final double [][][][][] clt_corr_partial,
final double [][][][][] clt_corr_partial,
final int used_pairs,
final double [][] disparity_map,
final double [][] clt_mismatch,
......@@ -2041,7 +2088,7 @@ public class ImageDtt extends ImageDttCPU {
// create LMA instance, calculate LMA composite argmax
// Create 2 groups: ortho & diag
Correlations2dLMA lma;
if (imgdtt_params.pcorr_use) {
if (imgdtt_params.pcorr_use) { // new group phase correlation
double [][] fake_corrs = {corrs[6],null,null,null,corrs[7],null};
lma = corr2d.corrLMA(
imgdtt_params, // ImageDttParameters imgdtt_params,
......
src/main/java/com/elphel/imagej/tileprocessor/QuadCLT.java
View file @ a74958ee
......@@ -3326,6 +3326,7 @@ public class QuadCLT extends QuadCLTCPU {
null, // final double [][][][] corr_tiles, // [tilesY][tilesX][pair][] ([(2*gpu_corr_rad+1)*(2*gpu_corr_rad+1)]) or null
clt_corr_partial1, // final double [][][][][] clt_corr_partial,// [tilesY][tilesX][quad]color][(2*transform_size-1)*(2*transform_size-1)] // if null - will not calculate
// [tilesY][tilesX] should be set by caller
null, // [tile][index][(2*transform_size-1)*(2*transform_size-1)] // if null - will not calculate
// When clt_mismatch is non-zero, no far objects extraction will be attempted
null, // final double [][] clt_mismatch, // [12][tilesY * tilesX] // ***** transpose unapplied ***** ?. null - do not calculate
// values in the "main" directions have disparity (*_CM) subtracted, in the perpendicular - as is
......
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