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imagej-elphel
Commit e8c48eba authored by Andrey Filippov's avatar Andrey Filippov
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Fixed previous bug, working snapshot

parent 88dc9e10
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src/main/java/com/elphel/imagej/vegetation/VegetationLMA.java
View file @ e8c48eba
......@@ -956,11 +956,12 @@ public class VegetationLMA {
}
ImageDtt.startAndJoin(threads);
// regularization weights and derivatives
// splitting alpha_lpf from alpha_loss+alpha_push
int ind_next = y_vector.length;
if ((alpha_lpf >= 0) || (alpha_loss > 0)) {
if ((alpha_loss > 0) || (alpha_push > 0)) {
int dbg_nx = -76340;
final int ind_y_alpha = ind_next;
final int ind_y_alpha_loss = ind_next;
ind_next += num_pars_vegetation_alpha;
ai.set(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
......@@ -968,7 +969,7 @@ public class VegetationLMA {
public void run() {
for (int n = ai.getAndIncrement(); n < num_pars_vegetation_alpha; n = ai.getAndIncrement()) {
int np = ind_pars_vegetation_alpha + n; // index of the alpha parameter
int nx = n + ind_y_alpha; // y_vector.length; // x - index
int nx = n + ind_y_alpha_loss; // y_vector.length; // x - index
if (nx == dbg_nx) {
System.out.println("getFxDerivs(): n="+n+", nx="+nx);
}
......@@ -1027,229 +1028,19 @@ public class VegetationLMA {
}
}
}
// add cost for difference between this alpha and average of 4 neighbors (when they exist
// applies to alpha before cosine, so it will pull borders even when alpha<0 or alpha > 1 (zero derivatives)
//alpha_scale_avg
if (alpha_lpf > 0) { // should always be > 0 to provide stability for out-of-range alpha
double mm = neib_min + (neib_max-neib_min) * alpha_mm_hole;
double effective_alpha_lpf = alpha_lpf;
if (!Double.isNaN(alpha_mm_hole) && (vector[np] <= mm) && ((neib_max-neib_min) >= alpha_diff_hole)) {
effective_alpha_lpf = 0.0; // disable alpha_lpf
}
// disable pull to average of neighbors for small holes in vegetation (local "almost minimum")
/// if (Double.isNaN(alpha_mm_hole) || (vector[np] > mm) || ((neib_max-neib_min) < alpha_diff_hole)) {
// this.alpha_mm_hole = alpha_mm_hole;
if (alpha_scale_avg == 1) {
fX[nx] += effective_alpha_lpf * (vector[np] - avg);
if (jt != null) {
jt[np][nx] += effective_alpha_lpf;
for (int i = 0; i < alpha_neibs[n].length; i++) { // now 4, may be increased
int di = alpha_neibs[n][i];
if (di >= 0) {
jt[di][nx] -= effective_alpha_lpf/nn;
}
}
}
} else {
if ((avg > 0) && (avg < 1)) {
double savg = 0.5 + (avg - 0.5) * alpha_scale_avg;
fX[nx] += effective_alpha_lpf * (vector[np] - savg);
if (jt != null) {
// jt[np][nx] += effective_alpha_lpf;
for (int i = 0; i < alpha_neibs[n].length; i++) { // now 4, may be increased
int di = alpha_neibs[n][i];
if (di >= 0) {
jt[di][nx] -= effective_alpha_lpf/nn * alpha_scale_avg;
}
}
}
} else {
if (avg <= 0) {
fX[nx] += effective_alpha_lpf * (vector[np] + 0.5*(alpha_scale_avg - 1.0));
} else { // avg > 1
fX[nx] += effective_alpha_lpf * (vector[np] - 0.5*(alpha_scale_avg + 1.0));
}
}
if (jt != null) {
jt[np][nx] += effective_alpha_lpf;
}
}
}
}
}
};
}
ImageDtt.startAndJoin(threads);
} // if (alpha_lpf >= 0) {
} // if ((alpha_loss > 0) || (alpha_push > 0)){
if (terr_lpf >= 0) {
final int ind_y_terr = ind_next;
ind_next += num_pars_terrain;
ai.set(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
public void run() {
for (int n = ai.getAndIncrement(); n < num_pars_terrain; n = ai.getAndIncrement()) {
int np = ind_pars_terrain + n; // index of the alpha parameter
int nx = n + ind_y_terr; // y_vector.length; // x - index
double d = 0;
if (terr_lpf > 0) {
double avg = 0;
int nn = 0;
for (int i = 0; i < terr_neibs[n].length; i++) { // now 4, may be increased
int di = terr_neibs[n][i];
d=0;
if (di >= 0) {
d = vector[di]; // d - full parameter index
avg+=d;
nn++;
} else if (di < -1) {
d = tvao[TVAO_TERRAIN][-di - 2];
avg+=d;
nn++;
}
}
avg /= nn; // average
fX[nx] += terr_lpf * (vector[np] - avg) + terr_pull0 * vector[np];
if (jt != null) {
jt[np][nx] += terr_lpf + terr_pull0;
for (int i = 0; i < terr_neibs[n].length; i++) { // now 4, may be increased
int di = terr_neibs[n][i];
if (di >= 0) {
jt[di][nx] -= terr_lpf/nn;
}
}
}
}
}
}
};
}
ImageDtt.startAndJoin(threads);
}
if (veget_lpf >= 0) {
final int ind_y_veget = ind_next;
ind_next += num_pars_vegetation;
ai.set(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
public void run() {
for (int n = ai.getAndIncrement(); n < num_pars_vegetation; n = ai.getAndIncrement()) {
int np = ind_pars_vegetation + n; // index of the alpha parameter
int nx = n + ind_y_veget; // y_vector.length; // x - index
double d = 0;
if (veget_lpf > 0) {
double avg = 0;
int nn = 0;
for (int i = 0; i < veget_neibs[n].length; i++) { // now 4, may be increased
int di = veget_neibs[n][i];
d=0;
if (di >= 0) {
d = vector[di]; // d - full parameter index
avg+=d;
nn++;
} else if (di < -1) {
d = tvao[TVAO_VEGETATION][-di - 2];
avg+=d;
nn++;
}
}
avg /= nn; // average
fX[nx] += veget_lpf * (vector[np] - avg) + veget_pull0 * vector[np];
if (jt != null) {
jt[np][nx] += veget_lpf + veget_pull0;
for (int i = 0; i < veget_neibs[n].length; i++) { // now 4, may be increased
int di = veget_neibs[n][i];
if (di >= 0) {
jt[di][nx] -= veget_lpf/nn;
}
}
}
}
}
}
};
}
ImageDtt.startAndJoin(threads);
}
return fX;
}
private double [] getFxDerivs_precos(
final double [] vector,
final double [][] jt, // should be null or initialized with [vector.length][]
final int debug_level)
{
double [] fX = new double [weights.length]; // num_pairs + vector.length];
if (jt != null) {
for (int i = 0; i < jt.length; i++) {
jt[i] = new double [weights.length]; // weights.length];
}
}
final Thread[] threads = ImageDtt.newThreadArray();
final AtomicInteger ai = new AtomicInteger(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
public void run() {
double [] vegetation = new double [4];
double [] alpha = new double [4];
for (int n = ai.getAndIncrement(); n < y_vector.length; n = ai.getAndIncrement()) {
// int nscene = data_source[n][0][0];
// int indx = data_source[n][0][1];
double terrain = vector[data_source[n][0][2]];
double [] cw = corners_weights[n];
double d;
int [] indx_vegetation = data_source[n][1];
int [] indx_alpha = data_source[n][2];
double sum_v =0, sum_a =0;
if (cw != null) {
for (int i = 0; i < 4; i++ ) {
int iv = indx_vegetation[i], ia=indx_alpha[i];
vegetation[i] = cw[i] * ((iv >= 0) ? vector[iv]: tvao[TVAO_VEGETATION][-1-iv]);
alpha[i] = cw[i] * ((ia >= 0) ? vector[ia]: tvao[TVAO_VEGETATION_ALPHA][-1-ia]);
sum_v += vegetation[i];
sum_a += alpha[i];
}
d = terrain * (1.0 - sum_a) + sum_v * sum_a;
if (jt != null) {
jt[data_source[n][0][2]][n] = 1 - sum_a; // d/dterrain
for (int i = 0; i < 4; i++ ) {
if (indx_vegetation[i] >= 0) {
// jt[data_source[n][1][indx_vegetation[i]]][n] = cw[i] * sum_a; // d/dvegetation[i]
jt[data_source[n][1][i]][n] = cw[i] * sum_a; // d/dvegetation[i]
}
if (indx_alpha[i] >= 0) {
// jt[data_source[n][2][indx_alpha[i]]][n] = cw[i] * (sum_v - terrain); // d/dalpha[i]
jt[data_source[n][2][i]][n] = cw[i] * (sum_v - terrain); // d/dalpha[i]
}
}
}
} else {
d = terrain;
if (jt != null) {
jt[data_source[n][0][2]][n] = 1; // d/dterrain
}
}
double scene_offs = vector[data_source[n][0][3]];
fX[n] = d + scene_offs;
if (jt != null) {
jt[data_source[n][0][3]][n] = 1;
}
}
}
};
}
ImageDtt.startAndJoin(threads);
// regularization weights and derivatives
int ind_next = y_vector.length;
if (alpha_lpf >= 0) {
final int ind_y_alpha = ind_next;
int dbg_nx = -76340;
final int ind_y_alpha_lpf = ind_next;
ind_next += num_pars_vegetation_alpha;
ai.set(0);
for (int ithread = 0; ithread < threads.length; ithread++) {
......@@ -1257,50 +1048,79 @@ public class VegetationLMA {
public void run() {
for (int n = ai.getAndIncrement(); n < num_pars_vegetation_alpha; n = ai.getAndIncrement()) {
int np = ind_pars_vegetation_alpha + n; // index of the alpha parameter
int nx = n + ind_y_alpha; // y_vector.length; // x - index
int nx = n + ind_y_alpha_lpf; // y_vector.length; // x - index
if (nx == dbg_nx) {
System.out.println("getFxDerivs(): n="+n+", nx="+nx);
}
double d = 0;
fX[nx] = 0.0;
double alpha = vector[np];
if (alpha < alpha_offset) {
d = alpha- alpha_offset;
} else if (alpha > (1 - alpha_offset)) {
d = alpha - (1.0 - alpha_offset);
}
if (d != 0) {
fX[nx] = d * d * alpha_loss;
if (jt != null) {
jt[np][nx] = 2 * alpha_loss * d; // d/dalpha[i]
}
double avg = 0;
int nn = 0;
double neib_min = Double.POSITIVE_INFINITY, neib_max = Double.NEGATIVE_INFINITY;
for (int i = 0; i < alpha_neibs[n].length; i++) { // now 4, may be increased
int di = alpha_neibs[n][i];
d=0;
if (di >= 0) {
d = vector[di]; // d - full parameter index
avg+=d;
if (d < neib_min) neib_min = d;
if (d > neib_max) neib_max = d;
nn++;
} else if (di < -1) {
d = tvao[TVAO_VEGETATION_ALPHA][-di - 2];
avg+=d;
if (d < neib_min) neib_min = d;
if (d > neib_max) neib_max = d;
nn++;
}
}
avg /= nn; // average
// add cost for difference between this alpha and average of 4 neighbors (when they exist
if (alpha_lpf > 0) {
double avg = 0;
int nn = 0;
for (int i = 0; i < alpha_neibs[n].length; i++) { // now 4, may be increased
int di = alpha_neibs[n][i];
d=0;
if (di >= 0) {
d = vector[di]; // d - full parameter index
avg+=d;
nn++;
} else if (di < -1) {
d = tvao[TVAO_VEGETATION_ALPHA][-di - 2];
avg+=d;
nn++;
}
}
avg /= nn; // average
fX[nx] += alpha_lpf * (vector[np] - avg);
// applies to alpha before cosine, so it will pull borders even when alpha<0 or alpha > 1 (zero derivatives)
//alpha_scale_avg
double mm = neib_min + (neib_max-neib_min) * alpha_mm_hole;
double effective_alpha_lpf = alpha_lpf;
if (!Double.isNaN(alpha_mm_hole) && (vector[np] <= mm) && ((neib_max-neib_min) >= alpha_diff_hole)) {
effective_alpha_lpf = 0.0; // disable alpha_lpf
}
// disable pull to average of neighbors for small holes in vegetation (local "almost minimum")
/// if (Double.isNaN(alpha_mm_hole) || (vector[np] > mm) || ((neib_max-neib_min) < alpha_diff_hole)) {
// this.alpha_mm_hole = alpha_mm_hole;
if (alpha_scale_avg == 1) {
fX[nx] = effective_alpha_lpf * (vector[np] - avg);
if (jt != null) {
jt[np][nx] += alpha_lpf;
jt[np][nx] += effective_alpha_lpf;
for (int i = 0; i < alpha_neibs[n].length; i++) { // now 4, may be increased
int di = alpha_neibs[n][i];
if (di > 0) {
jt[di][nx] -= alpha_lpf/nn;
if (di >= 0) {
jt[di][nx] -= effective_alpha_lpf/nn;
}
}
}
}
}
}
} else {
if ((avg > 0) && (avg < 1)) {
double savg = 0.5 + (avg - 0.5) * alpha_scale_avg;
fX[nx] = effective_alpha_lpf * (vector[np] - savg);
if (jt != null) {
// jt[np][nx] += effective_alpha_lpf;
for (int i = 0; i < alpha_neibs[n].length; i++) { // now 4, may be increased
int di = alpha_neibs[n][i];
if (di >= 0) {
jt[di][nx] -= effective_alpha_lpf/nn * alpha_scale_avg;
}
}
}
} else {
if (avg <= 0) {
fX[nx] = effective_alpha_lpf * (vector[np] + 0.5*(alpha_scale_avg - 1.0));
} else { // avg > 1
fX[nx] = effective_alpha_lpf * (vector[np] - 0.5*(alpha_scale_avg + 1.0));
}
}
if (jt != null) {
jt[np][nx] += effective_alpha_lpf;
}
}
}
}
};
......@@ -1336,12 +1156,12 @@ public class VegetationLMA {
}
}
avg /= nn; // average
fX[nx] += terr_lpf * (vector[np] - avg);
fX[nx] += terr_lpf * (vector[np] - avg) + terr_pull0 * vector[np];
if (jt != null) {
jt[np][nx] += terr_lpf;
jt[np][nx] += terr_lpf + terr_pull0;
for (int i = 0; i < terr_neibs[n].length; i++) { // now 4, may be increased
int di = terr_neibs[n][i];
if (di > 0) {
if (di >= 0) {
jt[di][nx] -= terr_lpf/nn;
}
}
......@@ -1382,12 +1202,12 @@ public class VegetationLMA {
}
}
avg /= nn; // average
fX[nx] += veget_lpf * (vector[np] - avg);
fX[nx] += veget_lpf * (vector[np] - avg) + veget_pull0 * vector[np];
if (jt != null) {
jt[np][nx] += veget_lpf;
jt[np][nx] += veget_lpf + veget_pull0;
for (int i = 0; i < veget_neibs[n].length; i++) { // now 4, may be increased
int di = veget_neibs[n][i];
if (di > 0) {
if (di >= 0) {
jt[di][nx] -= veget_lpf/nn;
}
}
......@@ -1401,7 +1221,6 @@ public class VegetationLMA {
}
return fX;
}
private double [][] getFxDerivsDelta(
......@@ -1629,6 +1448,9 @@ public class VegetationLMA {
// int extra_samples = num_pars_vegetation_alpha; // in the future may be more regularization
int extra_samples = 0;
// using >=0 no use 0 as NOP but reserve space, <0 - do not reserve space
//(alpha_loss > 0)
if ((alpha_loss > 0) || (alpha_push > 0)) extra_samples+= num_pars_vegetation_alpha; // need to split loss (always positive) from alpha_lpf
if (alpha_lpf >= 0) extra_samples+= num_pars_vegetation_alpha;
if (terr_lpf >= 0) extra_samples+= num_pars_terrain;
if (veget_lpf >= 0) extra_samples+= num_pars_vegetation;
......
src/main/java/com/elphel/imagej/vegetation/VegetationModel.java
View file @ e8c48eba
......@@ -677,7 +677,8 @@ public class VegetationModel {
String [] titles,
int debugLevel) {
boolean diff_mode = true;
Rectangle woi50 = new Rectangle(143,317,35,35);
// Rectangle woi50 = new Rectangle(143,317,35,35);
Rectangle woi50 = new Rectangle(160,317,35,35); // X+17
/* Bad, pull terr lower, so it all shifts to terrain
int min_scenes = 10;
double default_alpha = 0.8;
......@@ -707,7 +708,7 @@ public class VegetationModel {
double reg_weights = 0.25; // fraction of the total weight used for regularization
double 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 = 0.0; // 0.02; // 0.03; // if >0, start losses above 0.0 and below 1.0;
double alpha_lpf = 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
double alpha_lpf = 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 = true; // false; // true;
double alpha_scale_avg = 1.0; // 1.1; // 0.9; // 2.0; // 1.5; // scale average alpha (around 0.5) when pulling to it
double alpha_push = 12; // 10.0; // 15.0; // push from alpha==0.5
......
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