Commit 7739a5cb authored by Andrey Filippov's avatar Andrey Filippov

Working snapshot, will try to improve matching scenes from different

sequences
parent 883c0212
......@@ -793,7 +793,10 @@ min_str_neib_fpn 0.35
public double terr_alpha_init_offs = 0.01; // Initial alpha: opaque/transparent offset from 1.0/0.0
public double terr_alpha_loss = 100.0;
public double terr_alpha_offset = 0.0;
public double terr_alpha_offset = 0.1;
public double terr_alpha_min_veg = -1; // old version 0.5; // Minimal vegetation alpha. If (alpha-alpha_offset)/(1-2*alpha_offset) < alpha_min_veg, pull down to lpha_offset
public double terr_alpha_lpf = 2.5; // pull to average of 4 neighbors
public boolean terr_alpha_piece_linear = true;
public double terr_alpha_scale_avg = 1.0; // scale average alpha (around 0.5) when pulling to it
......@@ -2102,6 +2105,8 @@ min_str_neib_fpn 0.35
gd.addNumericField("Alpha loss", terr_alpha_loss, 5,7,"", "Alpha quadratic growing loss for when out of [0,1] range");
gd.addNumericField("Alpha offset", terr_alpha_offset, 5,7,"", "Start alpha losses above 0.0 and below 1.0 by this value.");
gd.addNumericField("Minimal vegetation alpha", terr_alpha_min_veg, 5,7,"","Minimal vegetation alpha. If (alpha-alpha_offset)/(1-2*alpha_offset) < alpha_min_veg, pull down to lpha_offset.");
gd.addNumericField("Alpha diffusion", terr_alpha_lpf, 5,7,"", "Alpha diffusion to 4 ortho neighbors.");
gd.addCheckbox ("Alpha piece-linear", terr_alpha_piece_linear, "Piece-linear alpha (_/\u203E, false - 0.0-cosine-1.0.");
gd.addNumericField("Scale alpha", terr_alpha_scale_avg, 5,7,"","Scale target (average of neighbors) alpha before pulling to it (not used now).");
......@@ -2818,7 +2823,6 @@ min_str_neib_fpn 0.35
terr_fit_alpha = gd.getNextBoolean();// boolean
terr_fit_scenes = gd.getNextBoolean();// boolean
terr_fit_elevations = gd.getNextBoolean();// boolean
for (int i = 0; i < terr_fit_disable.length; i++) {
terr_fit_disable[i] = gd.getNextBoolean();// boolean
}
......@@ -2847,6 +2851,7 @@ min_str_neib_fpn 0.35
terr_alpha_loss = gd.getNextNumber();// double
terr_alpha_offset = gd.getNextNumber();// double
terr_alpha_min_veg = gd.getNextNumber();// double
terr_alpha_lpf = gd.getNextNumber();// double
terr_alpha_piece_linear = gd.getNextBoolean();// boolean
terr_alpha_scale_avg = gd.getNextNumber();// double
......@@ -3557,6 +3562,7 @@ min_str_neib_fpn 0.35
properties.setProperty(prefix+"terr_alpha_loss", terr_alpha_loss+""); // double
properties.setProperty(prefix+"terr_alpha_offset", terr_alpha_offset+""); // double
properties.setProperty(prefix+"terr_alpha_min_veg", terr_alpha_min_veg+""); // double
properties.setProperty(prefix+"terr_alpha_lpf", terr_alpha_lpf+""); // double
properties.setProperty(prefix+"terr_alpha_piece_linear", terr_alpha_piece_linear+""); // boolean
properties.setProperty(prefix+"terr_alpha_scale_avg", terr_alpha_scale_avg+""); // double
......@@ -4284,6 +4290,7 @@ min_str_neib_fpn 0.35
if (properties.getProperty(prefix+"terr_alpha_loss")!= null) terr_alpha_loss=Double.parseDouble(properties.getProperty(prefix+"terr_alpha_loss"));
if (properties.getProperty(prefix+"terr_alpha_offset")!= null) terr_alpha_offset=Double.parseDouble(properties.getProperty(prefix+"terr_alpha_offset"));
if (properties.getProperty(prefix+"terr_alpha_min_veg")!= null) terr_alpha_min_veg=Double.parseDouble(properties.getProperty(prefix+"terr_alpha_min_veg"));
if (properties.getProperty(prefix+"terr_alpha_lpf")!= null) terr_alpha_lpf=Double.parseDouble(properties.getProperty(prefix+"terr_alpha_lpf"));
if (properties.getProperty(prefix+"terr_alpha_piece_linear")!= null) terr_alpha_piece_linear=Boolean.parseBoolean(properties.getProperty(prefix+"terr_alpha_piece_linear"));
if (properties.getProperty(prefix+"terr_alpha_scale_avg")!= null) terr_alpha_scale_avg=Double.parseDouble(properties.getProperty(prefix+"terr_alpha_scale_avg"));
......@@ -4977,6 +4984,7 @@ min_str_neib_fpn 0.35
imp.terr_alpha_loss = this.terr_alpha_loss;
imp.terr_alpha_offset = this.terr_alpha_offset;
imp.terr_alpha_min_veg = this.terr_alpha_min_veg;
imp.terr_alpha_lpf = this.terr_alpha_lpf;
imp.terr_alpha_piece_linear = this.terr_alpha_piece_linear;
imp.terr_alpha_scale_avg = this.terr_alpha_scale_avg;
......
......@@ -61,6 +61,10 @@ public class VegetationLMA {
public static final int SAMPLES_SIZE = SAMPLES_TOTAL+1;
public static final int SAMPLES_EXTRA = SAMPLES_SCENES; // start of "extra" samples
public final static String[] SAMPLES_NAMES = {"SAMPLES_Y", "SAMPLES_Y_HF", "SAMPLES_Y_AVG",
"SAMPLES_SCENES","SAMPLES_ALPHA_PULL","SAMPLES_ALPHA_LPF","SAMPLES_TERRAIN_PULL",
"SAMPLES_TERRAIN_LPF","SAMPLES_VEGETATION_PULL","SAMPLES_VEGETATION_LPF",
"SAMPLES_ELEVATION_PULL","SAMPLES_ELEVATION_LPF","SAMPLES_ELEVATION_ALPHA","SAMPLES_TOTAL"};
public static final int [] SAVE_TYPES = {TVAO_TERRAIN, TVAO_VEGETATION, TVAO_ALPHA, TVAO_ELEVATION, TVAO_SCENE_OFFSET};
private final Rectangle full;
......@@ -153,6 +157,7 @@ public class VegetationLMA {
private boolean [] fits; // (+)
private double alpha_loss = 0; // (+) not used with cosine alpha
private double alpha_offset = 0; // (+) if >0, start losses above 0.0 and below 1.0;
private double alpha_min_veg = 0.5; // (+) if (alpha-alpha_offset)/(1-2*alpha_offset) < alpha_min_veg, pull down to lpha_offset
private double alpha_lpf = 0; // (+)
private boolean alpha_piece_linear = true; // (+)
private double alpha_scale_avg = 1.0; // (+) 1.1; // scale average alpha (around 0.5) when pulling to it
......@@ -249,7 +254,7 @@ public class VegetationLMA {
image_length = full.width * full.height;
num_scenes = vegetationModel.terrain_scenes_render.length;
vegetation_average =vegetationModel.vegetation_full; // vegetation_average_render;
vegetation_pull = vegetationModel.vegetation_pull; // pull LMA to this level
// vegetation_pull = vegetationModel.vegetation_pull; // pull LMA to this level
terrain_average = vegetationModel.terrain_filled; // terrain filled under vegetation, use to pull terrain level to it
terrain_rendered = vegetationModel.terrain_scenes_render;
vegetation_offsets =vegetationModel.vegetation_warp;
......@@ -274,6 +279,8 @@ public class VegetationLMA {
scene_weights = new double [num_scenes];
scales_xy = getScalesXY(vegetationModel.scale_dirs);
tvao[TVAO_ELEVATION] = vegetationModel.elevations.clone();
// vegetation_pull = vegetationModel.vegetation_pull; // pull LMA to this level
vegetation_pull =tvao[TVAO_VEGETATION].clone();
if (debugLevel > -2) {
String [] titles = {"TVAO_TERRAIN", "TVAO_VEGETATION", "vegetation_pull", "vegetation_full", "elevations", "TVAO_ALPHA"};
double [][] dbg_img = {tvao[TVAO_TERRAIN],tvao[TVAO_VEGETATION],vegetationModel.vegetation_pull,vegetationModel.vegetation_full,vegetationModel.elevations,tvao[TVAO_ALPHA]};
......@@ -516,6 +523,7 @@ public class VegetationLMA {
final double reg_weights, // fraction of the total weight used for regularization
final double alpha_loss, // quadratic loss when alpha reaches -1.0 or 2.0
final double alpha_offset, // quadratic loss when alpha reaches -1.0 or 2.0
final double alpha_min_veg, // 0.5; // if (alpha-alpha_offset)/(1-2*alpha_offset) < alpha_min_veg, pull down to lpha_offset
final double alpha_lpf, // pull vegetation alpha to average of 4 neighbors
final boolean alpha_piece_linear, // true - piece-linear, false - half-cosine
final double alpha_scale_avg, // = 1.2; // scale average alpha (around 0.5) when pulling to it
......@@ -554,6 +562,7 @@ public class VegetationLMA {
this.reg_weights = reg_weights; // fraction of the total weight used for regularization
this.alpha_loss = alpha_loss;
this.alpha_offset = alpha_offset;
this.alpha_min_veg = alpha_min_veg;
this.alpha_lpf = alpha_lpf;
this.alpha_scale_avg = alpha_scale_avg;
this.alpha_piece_linear= alpha_piece_linear;
......@@ -924,6 +933,71 @@ public class VegetationLMA {
return wymfw;
}
public double[][] yMinusFxSummary(
final double [] fx,
final boolean show) {
final double [][] stats = new double [samples_pointers.length][2];
final Thread[] threads = ImageDtt.newThreadArray();
final AtomicInteger ai = new AtomicInteger(0);
final AtomicInteger ati = new AtomicInteger(0);
for (int n = 0; n < SAMPLES_TOTAL; n++) {
final int nstat = n;
final int nstat_start = samples_pointers[nstat][0];
final int nstat_length = samples_pointers[nstat][1];
if (nstat_length > 0) {
ai.set(0);
ati.set(0);
final double [][] stats_threaded = new double [threads.length][2];
for (int ithread = 0; ithread < threads.length; ithread++) { // first sum for pairs
threads[ithread] = new Thread() {
public void run() {
int nthread = ati.getAndIncrement();
for (int n = ai.getAndIncrement(); n < nstat_length; n = ai.getAndIncrement()) {
int indx = nstat_start + n;
double y = (indx < y_vector.length) ? y_vector[indx] : 0;
double d = y - fx[indx]; // - fx[n]; // +y_vector[i]
double w = weights[indx];
double wd = d * w;
if (Double.isNaN(wd)) {
System.out.println("wd=NaN, n="+n);
}
stats_threaded[nthread][0] += wd * d;
stats_threaded[nthread][1] += w;
}
}
};
}
ImageDtt.startAndJoin(threads);
for (int nthread = 0; nthread < stats_threaded.length; nthread++) {
stats[nstat][0] += stats_threaded[nthread][0];
stats[nstat][1] += stats_threaded[nthread][1];
}
}
}
for (int nstat = 0; nstat < SAMPLES_TOTAL; nstat++) {
stats[SAMPLES_TOTAL][0] += stats[nstat][0];
stats[SAMPLES_TOTAL][1] += stats[nstat][1];
}
if (show) {
System.out.println(String.format("%2s, %24s, %12s, %12s, %12s, %7s, %7s, %7s", "#", "name", "RMS_avg", "RMS_contrib", "weight", "start","end","length"));
for (int nstat = 0; nstat < stats.length; nstat++) if (stats[nstat][1] > 0) {
int istart = samples_pointers[nstat][0];
int ilength = samples_pointers[nstat][1];
int iend = istart+ilength-1;
double rms_avg = Math.sqrt(stats[nstat][0]/stats[nstat][1]);
double rms_contrib = Math.sqrt(stats[nstat][0] * stats[nstat][1]);
double weight = stats[nstat][1];
System.out.println(String.format("%2d, %24s, %12.8f, %12.8f, %12.8f, %7d, %7d, %7d",
nstat, SAMPLES_NAMES[nstat],
rms_avg, rms_contrib, weight,
istart, iend, ilength));
}
}
return stats;
}
public int runLma( // <0 - failed, >=0 iteration number (1 - immediately)
double lambda, // 0.1
double lambda_scale_good,// 0.5
......@@ -1020,7 +1094,15 @@ public class VegetationLMA {
}
System.out.println();
}
if (debug_level > -2) {
double [] fx = getFxDerivs(
parameters_vector, // double [] vector,
null, // final double [][] jt, // should be null or initialized with [vector.length][]
debug_level); // final int debug_level)
yMinusFxSummary(
fx, // final double [] fx,
true); // final boolean show)
}
return rslt[0]? iter : -1;
}
......@@ -1044,6 +1126,11 @@ public class VegetationLMA {
last_rms); // final double [] rms_fp // null or [2]
this.initial_rms = this.last_rms.clone();
this.good_or_bad_rms = this.last_rms.clone();
if (debug_level > 0) {
yMinusFxSummary(
fx, // final double [] fx,
true); // final boolean show)
}
if (last_ymfx == null) {
return null; // need to re-init/restart LMA
......@@ -1175,11 +1262,10 @@ public class VegetationLMA {
// vector_XYS, // final double [][] vector_XYS,
fx, // final double [] fx,
rms); // final double [] rms_fp // null or [2]
if (debug_level > 2) {
/*
dbgYminusFx(this.last_ymfx, "next y-fX");
dbgXY(new_vector, "XY-correction");
*/
if (debug_level > 0) {
yMinusFxSummary(
fx, // final double [] fx,
true); // final boolean show)
}
if (last_ymfx == null) {
......@@ -1223,6 +1309,11 @@ public class VegetationLMA {
last_ymfx = getYminusFxWeighted(
fx, // final double [] fx,
this.last_rms); // final double [] rms_fp // null or [2]
if (debug_level > 0) {
yMinusFxSummary(
fx, // final double [] fx,
true); // final boolean show)
}
if (last_ymfx == null) {
return null; // need to re-init/restart LMA
}
......@@ -1274,7 +1365,7 @@ public class VegetationLMA {
// hifreq_weight
String debug_title = "parameters_vector-x"+woi.x+"-y"+woi.y+"-w"+woi.width+"-h"+woi.height;
debug_title += "-hf"+hifreq_weight+"-tc"+terrain_correction;
debug_title += "-al"+alpha_loss+"-alo"+alpha_offset+"-alp"+alpha_lpf+"-als"+alpha_scale_avg+(alpha_piece_linear?"-alin":"-acos");
debug_title += "-al"+alpha_loss+"-alo"+alpha_offset+"-amv"+alpha_min_veg+"-alp"+alpha_lpf+"-als"+alpha_scale_avg+(alpha_piece_linear?"-alin":"-acos");
debug_title += "-ap"+alpha_push+"-apn"+alpha_push_neutral+"-apc"+alpha_push_center+(alpha_en_holes?("-amm"+alpha_mm_hole):"");
debug_title += "-tl"+terr_lpf+"-vl"+veget_lpf+"-el"+elevation_lpf+"-tp"+terr_pull0+"-vp"+veget_pull0+"-ep"+elevation_pull0;
if (elev_alpha_en) {
......@@ -2726,6 +2817,8 @@ public class VegetationLMA {
// No need here to add contributors as this should not depend on any other parameters
if (samples_pointers[SAMPLES_ALPHA_PULL][1] > 0) { // fits[TVAO_ALPHA] && ((alpha_loss > 0) || (alpha_push > 0))) {
int dbg_nx = -76340;
final double alpha_threshold = alpha_offset + alpha_min_veg *(1 - 2*alpha_offset);
final double alpha_plateau = alpha_threshold * alpha_loss;
ai.set(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
......@@ -2740,6 +2833,22 @@ public class VegetationLMA {
fX[nx] = 0.0;
if (alpha_loss > 0) {
double alpha = vector[np];
if (alpha_min_veg >= 0) {
if (alpha < alpha_threshold) {
fX[nx] = (alpha - alpha_offset) * alpha_loss;
if (jt != null) {
jt[np][nx] = alpha_loss; // d/dalpha[i]
}
} else if (alpha > (1 - alpha_offset)) {
fX[nx] = (alpha - (1.0 - alpha_offset)) * alpha_loss + alpha_plateau;
if (jt != null) {
jt[np][nx] = alpha_loss; // d/dalpha[i]
}
} else {
fX[nx] = alpha_plateau;
// jt[np][nx] = 0.0; // d/dalpha[i]
}
} else { // old version, requires alpha_min_veg < 0
if (alpha < alpha_offset) {
d = alpha- alpha_offset;
} else if (alpha > (1 - alpha_offset)) {
......@@ -2752,6 +2861,7 @@ public class VegetationLMA {
}
}
}
}
if (alpha_push > 0) {
// average including center:
/// double sum_w = (nn + alpha_push_center);
......@@ -3862,6 +3972,7 @@ public class VegetationLMA {
imp.setProperty("FIT_SCENE_OFFSET", ""+fits[TVAO_SCENE_OFFSET]);
imp.setProperty("ALPHA_LOSS", ""+alpha_loss);
imp.setProperty("ALPHA_OFFSET", ""+alpha_offset);
imp.setProperty("ALPHA_MIN_VEG", ""+alpha_min_veg);
imp.setProperty("ALPHA_LPF", ""+alpha_lpf);
imp.setProperty("ALPHA_PIECE_LINEAR", ""+alpha_piece_linear);
imp.setProperty("ALPHA_SCALE_AVG", ""+alpha_scale_avg);
......@@ -4028,6 +4139,7 @@ public class VegetationLMA {
fits[TVAO_SCENE_OFFSET] = Boolean.parseBoolean((String) imp_pars.getProperty("FIT_SCENE_OFFSET"));
alpha_loss = Double.parseDouble((String) imp_pars.getProperty("ALPHA_LOSS"));
alpha_offset = Double.parseDouble((String) imp_pars.getProperty("ALPHA_OFFSET"));
if (imp_pars.getProperty("ALPHA_MIN_VEG") != null) alpha_min_veg = Double.parseDouble((String) imp_pars.getProperty("ALPHA_MIN_VEG"));
alpha_lpf = Double.parseDouble((String) imp_pars.getProperty("ALPHA_LPF"));
alpha_piece_linear = Boolean.parseBoolean((String) imp_pars.getProperty("ALPHA_PIECE_LINEAR"));
alpha_scale_avg = Double.parseDouble((String) imp_pars.getProperty("ALPHA_SCALE_AVG"));
......@@ -5211,7 +5323,6 @@ public class VegetationLMA {
System.out.println("y_vector["+(wIndx+terr_start)+"]=NaN");
}
y_vector[wIndx+terr_start] = swy; // /sw; (fX uses the same weights)
}
}
};
......@@ -6380,8 +6491,8 @@ public class VegetationLMA {
threads[ithread] = new Thread() {
public void run() {
for (int indx_decim = ai.getAndIncrement(); indx_decim < data_decimated.length; indx_decim = ai.getAndIncrement()) {
int indx = par_map[0][indx_decim];
data_full[indx_decim] = (indx >= 0) ? data_decimated[indx] : 0.0;
int indx = par_map[1][indx_decim];
data_full[indx] = (indx >= 0) ? data_decimated[indx_decim] : 0.0;
}
}
};
......
......@@ -1428,6 +1428,8 @@ public class VegetationModel {
double default_alpha = clt_parameters.imp.terr_alpha_dflt; // 0.5; // 0.8;
double alpha_loss = clt_parameters.imp.terr_alpha_loss; //100.0; // 10.0; /// 100.0; // 10.0; // 10000.0; // 1000.0; // 100.; // 10.0; // quadratic loss when alpha reaches -1.0 or 2.0
double alpha_offset = clt_parameters.imp.terr_alpha_offset; // 0.0; // 0.02; // 0.03; // if >0, start losses above 0.0 and below 1.0;
double alpha_min_veg = clt_parameters.imp.terr_alpha_min_veg; // 0.5 // Minimal vegetation alpha. If (alpha-alpha_offset)/(1-2*alpha_offset) < alpha_min_veg, pull down to lpha_offset
double alpha_lpf = clt_parameters.imp.terr_alpha_lpf; // 2.5; // 5; /// 2; // 5; /// 10; /// 15; // 10.0; // 5.0; // 10.0; // 3; // 10; // 20; // 6.0; // 3.0; // 2.0; // 1.5; // 5.0; // 0.5; // pull to average of 4 neighbors
boolean alpha_piece_linear =clt_parameters.imp.terr_alpha_piece_linear; // true; // false; // true;
double alpha_scale_avg = clt_parameters.imp.terr_alpha_scale_avg; // 1.0; // 1.1; // 0.9; // 2.0; // 1.5; // scale average alpha (around 0.5) when pulling to it
......@@ -2007,6 +2009,7 @@ public class VegetationModel {
reg_weights, // final double reg_weights, // fraction of the total weight used for regularization
alpha_loss, // final double alpha_loss, // quadratic loss when alpha reaches -1.0 or 2.0
alpha_offset, // final double alpha_offset, // quadratic loss when alpha reaches -1.0 or 2.0
alpha_min_veg, //final double alpha_min_veg, // 0.5; // if (alpha-alpha_offset)/(1-2*alpha_offset) < alpha_min_veg, pull down to lpha_offset
alpha_lpf, // final double alpha_lpf, // pull to average of 4 neighbors
alpha_piece_linear, // final boolean alpha_piece_linear, // true - piece-linear, false - half-cosine
alpha_scale_avg, // final double alpha_scale_avg, // = 1.2; // scale average alpha (around 0.5) when pulling to it
......
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