Skip to content

I
imagej-elphel
Commit 2eae496d authored by Andrey Filippov's avatar Andrey Filippov
Browse files
Options

trying group phase correlation, preparing to convert to GPU

parent a149cadd
Expand all Hide whitespace changes
Inline Side-by-side
Showing with 485 additions and 82 deletions
src/main/java/com/elphel/imagej/cameras/CLTParameters.java
View file @ 2eae496d
......@@ -32,7 +32,7 @@ public class CLTParameters {
public int ishift_y = 0; // debug feature - shift source image by this pixels down
private double fat_zero = 0.05; // modify phase correlation to prevent division by very small numbers
private double fat_zero_mono = 0.1; // modify phase correlation to prevent division by very small numbers
private double fat_zero_mono = 0.03; // modify phase correlation to prevent division by very small numbers
private double corr_sigma = 0.8; // LPF correlation sigma
private double corr_sigma_mono = 0.1; // LPF correlation sigma for monochrome images
private double scale_strength_main = 1.0; // leave as is
......@@ -766,9 +766,10 @@ 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 = 0.25;
public double gpu_weight_b = 0.25; // weight g = 1.0 - gpu_weight_r - gpu_weight_b
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;
......@@ -1567,6 +1568,7 @@ public class CLTParameters {
properties.setProperty(prefix+"taEnMismatch", this.taEnMismatch +"");
properties.setProperty(prefix+"gpu_corr_scale", this.gpu_corr_scale +"");
properties.setProperty(prefix+"gpu_corr_rad", this.gpu_corr_rad +"");
properties.setProperty(prefix+"gpu_weight_r", this.gpu_weight_r +"");
properties.setProperty(prefix+"gpu_weight_b", this.gpu_weight_b +"");
......@@ -2352,6 +2354,7 @@ public class CLTParameters {
if (properties.getProperty(prefix+"taEnFlaps")!=null) this.taEnFlaps=Boolean.parseBoolean(properties.getProperty(prefix+"taEnFlaps"));
if (properties.getProperty(prefix+"taEnMismatch")!=null) this.taEnMismatch=Boolean.parseBoolean(properties.getProperty(prefix+"taEnMismatch"));
if (properties.getProperty(prefix+"gpu_corr_scale")!=null) this.gpu_corr_scale=Double.parseDouble(properties.getProperty(prefix+"gpu_corr_scale"));
if (properties.getProperty(prefix+"gpu_corr_rad")!=null) this.gpu_corr_rad=Integer.parseInt(properties.getProperty(prefix+"gpu_corr_rad"));
if (properties.getProperty(prefix+"gpu_weight_r")!=null) this.gpu_weight_r=Double.parseDouble(properties.getProperty(prefix+"gpu_weight_r"));
if (properties.getProperty(prefix+"gpu_weight_b")!=null) this.gpu_weight_b=Double.parseDouble(properties.getProperty(prefix+"gpu_weight_b"));
......@@ -3279,6 +3282,8 @@ public class CLTParameters {
gd.addTab ("GPU", "Parameters for GPU development");
gd.addMessage ("--- GPU processing parameters ---");
gd.addNumericField("GPU 2D correlation scale", this.gpu_corr_scale, 4, 6,"",
"Reduce GPU-generated correlation values to approximately match CPU-generated ones");
gd.addNumericField("Correlation radius", this.gpu_corr_rad, 0, 6,"pix",
"Size of the 2D correlation - maximal radius = 7 corresponds to full 15x15 pixel tile");
gd.addNumericField("Correlation weight R", this.gpu_weight_r, 4, 6,"",
......@@ -4057,6 +4062,7 @@ public class CLTParameters {
this.taEnFlaps= gd.getNextBoolean();
this.taEnMismatch= gd.getNextBoolean();
this.gpu_corr_scale = gd.getNextNumber();
this.gpu_corr_rad = (int) gd.getNextNumber();
this.gpu_weight_r = gd.getNextNumber();
this.gpu_weight_b = gd.getNextNumber();
......
src/main/java/com/elphel/imagej/gpu/GPUTileProcessor.java
View file @ 2eae496d
......@@ -803,7 +803,7 @@ public class GPUTileProcessor {
/**
* Copy array of CPU-prepared tasks to the GPU memory
* @param tile_tasks array of TpTask prepared by the CPU (before geometry correction is appllied)
* @param tile_tasks array of TpTask prepared by the CPU (before geometry correction is applied)
* @param use_aux Use second (aux) camera
*/
public void setTasks(TpTask [] tile_tasks, boolean use_aux) // while is it in class member? - just to be able to free
......@@ -2078,6 +2078,16 @@ public class GPUTileProcessor {
if (debug) System.out.println("constantMemorySize: " + constantMemorySize);
cuMemcpyHtoD(constantMemoryPointer, Pointer.to(lpf_flat), constantMemorySize);
if (debug) System.out.println();
/*
if (debug) {
for (int i = 0; i < lpf_flat.length; i++) {
System.out.print(String.format("%8.5f", lpf_flat[i]));
if (((i+1) % 16) == 0) {
System.out.println();
}
}
}
*/
}
public void setLpfCorr(
......@@ -2094,6 +2104,16 @@ public class GPUTileProcessor {
if (debug) System.out.println("constantMemorySize: " + constantMemorySize);
cuMemcpyHtoD(constantMemoryPointer, Pointer.to(lpf_flat), constantMemorySize);
if (debug) System.out.println();
/*
if (debug) {
for (int i = 0; i < lpf_flat.length; i++) {
System.out.print(String.format("%8.5f", lpf_flat[i]));
if (((i+1) % 16) == 0) {
System.out.println();
}
}
}
*/
}
public float [] floatSetCltLpfFd(
......
src/main/java/com/elphel/imagej/tileprocessor/ImageDtt.java
View file @ 2eae496d
......@@ -72,6 +72,7 @@ public class ImageDtt extends ImageDttCPU {
final float [][][] iclt_fimg, // will return quad images or null to skip, use quadCLT.linearStackToColor
//// final int width,
// new parameters, will replace some other?
final double gpu_corr_scale, // 0.75; // reduce GPU-generated correlation values
final double gpu_fat_zero, // clt_parameters.getGpuFatZero(is_mono);absolute == 30.0
final double gpu_sigma_r, // 0.9, 1.1
final double gpu_sigma_b, // 0.9, 1.1
......@@ -163,6 +164,7 @@ public class ImageDtt extends ImageDttCPU {
}
*/
// keep for now for mono, find out what do they mean for macro mode
if (macro_mode) { // all the same as they now mean different
//compensating Bayer correction
col_weights[0] = 0.25; // 1.0/3;
......@@ -179,7 +181,7 @@ public class ImageDtt extends ImageDttCPU {
col_weights[1] = corr_blue * col_weights[2];
}
}
/*
double [] scales = isMonochrome() ?
(new double [] {1.0}) :
(macro_mode?
......@@ -189,13 +191,14 @@ public class ImageDtt extends ImageDttCPU {
corr_blue, // 0.25
1.0 - corr_red - corr_blue})); // 0.5
*/
final int corr_size = transform_size * 2 - 1;
final int [][] transpose_indices = new int [corr_size*(corr_size-1)/2][2];
// final int [][] transpose_indices = new int [corr_size*(corr_size-1)/2][2];
if ((globalDebugLevel > -10) && (disparity_corr != 0.0)){
System.out.println(String.format("Using manual infinity disparity correction of %8.5f pixels",disparity_corr));
}
/*
{ int indx = 0;
for (int i =0; i < corr_size-1; i++){
for (int j = i+1; j < corr_size; j++){
......@@ -204,7 +207,7 @@ public class ImageDtt extends ImageDttCPU {
}
}
}
*/
//// final int first_color = isMonochrome()? MONO_CHN : 0; // color that is non-zero
......@@ -316,8 +319,8 @@ public class ImageDtt extends ImageDttCPU {
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
final double [] lt_window = dtt.getWin2d(); // [256] - never used
final double [] lt_window2 = new double [lt_window.length]; // squared - never used
for (int i = 0; i < lt_window.length; i++) lt_window2[i] = lt_window[i] * lt_window[i];
......@@ -356,20 +359,20 @@ public class ImageDtt extends ImageDttCPU {
};
gpuQuad.setLpfRbg( // constants memory - same for all cameras
lpf_rgb,
false); // !batch_mode);
globalDebugLevel > -1);
final float [] lpf_flat = floatGetCltLpfFd(gpu_sigma_corr);
gpuQuad.setLpfCorr(// constants memory - same for all cameras
"lpf_corr", // String const_name, // "lpf_corr"
lpf_flat,
false); // !batch_mode);
globalDebugLevel > -1);
final float [] lpf_rb_flat = floatGetCltLpfFd(gpu_sigma_rb_corr);
gpuQuad.setLpfCorr(// constants memory - same for all cameras
"lpf_rb_corr", // String const_name, // "lpf_corr"
lpf_rb_flat,
false); // !batch_mode);
globalDebugLevel > -1);
gpuQuad.setTasks( // copy tp_tasks to the GPU memory
tp_tasks, // TpTask [] tile_tasks,
......@@ -382,7 +385,7 @@ public class ImageDtt extends ImageDttCPU {
for (int ncam = 0; ncam < iclt_fimg.length; ncam++) {
iclt_fimg[ncam] = gpuQuad.getRBG(ncam); // retrieve data from GPU
}
}
} else {gpuQuad.execImcltRbgAll(isMonochrome());} // just for testing
// does it need texture tiles to be output?
if (texture_img != null) {
Rectangle woi = new Rectangle(); // will be filled out to match actual available image
......@@ -443,7 +446,7 @@ public class ImageDtt extends ImageDttCPU {
if (fneed_corr) {
//Generate 2D phase correlations from the CLT representation
gpuQuad.execCorr2D(
scales,// double [] scales,
col_weights, // scales,// double [] scales,
gpu_fat_zero, // double fat_zero);
gpu_corr_rad); // int corr_radius
//Show 2D correlations
......@@ -452,6 +455,24 @@ public class ImageDtt extends ImageDttCPU {
final float [][] fcorr2D = gpuQuad.getCorr2D(
gpu_corr_rad); // int corr_rad);
if (corr_indices.length > 0) {
if (true) {
int [] wh = new int[2];
double [][] dbg_corr = GPUTileProcessor.getCorr2DView(
tilesX,
tilesY,
corr_indices,
fcorr2D,
wh);
(new ShowDoubleFloatArrays()).showArrays(
dbg_corr,
wh[0],
wh[1],
true,
"dbg-corr2D", // name+"-CORR2D-D"+clt_parameters.disparity,
GPUTileProcessor.getCorrTitles());
}
final int corr_length = fcorr2D[0].length;// all correlation tiles have the same size
// assuming that the correlation pairs sets are the same for each tile that has correlations
// find this number
......@@ -464,62 +485,13 @@ public class ImageDtt extends ImageDttCPU {
final int num_tiles = corr_indices.length / num_tile_corr;
/*
// convert to 6-layer image using tasks
double [][] dbg_corr = GPUTileProcessor.getCorr2DView(
tilesX,
tilesY,
corr_indices,
corr2D,
wh);
(new ShowDoubleFloatArrays()).showArrays(
dbg_corr,
wh[0],
wh[1],
true,
name+"-CORR2D-D"+clt_parameters.disparity,
GPUTileProcessor.getCorrTitles());
*/
for (int ithread = 0; ithread < threads.length; ithread++) {
threads[ithread] = new Thread() {
@Override
public void run() {
// int tileY,tileX,tIndex;
double [][] corrs = new double [GPUTileProcessor.NUM_PAIRS][corr_length]; // 225-long (15x15)
// double [][] corrs = new double [GPUTileProcessor.NUM_PAIRS][corr_length]; // 225-long (15x15)
/*
DttRad2 dtt = new DttRad2(transform_size);
dtt.set_window(window_type);
int tileY,tileX,tIndex; // , chn;
// showDoubleFloatArrays sdfa_instance = new showDoubleFloatArrays(); // just for debugging?
double centerX; // center of aberration-corrected (common model) tile, X
double centerY; //
double [][] fract_shiftsXY = new double[quad][];
double [][] tcorr_combo = null; // [15*15] pixel space
double [][][] tcorr_partial = null; // [quad][numcol+1][15*15]
double [][][][] tcorr_tpartial = null; // [quad][numcol+1][4][8*8]
double [] ports_rgb = null;
double [][] rXY;
if (use_main) {
rXY = geometryCorrection.getRXY(true); // boolean use_rig_offsets,
} else {
rXY = geometryCorrection.getRXY(false); // boolean use_rig_offsets,
}
Correlation2d corr2d = new Correlation2d(
imgdtt_params, // ImageDttParameters imgdtt_params,
transform_size, // int transform_size,
2.0, // double wndx_scale, // (wndy scale is always 1.0)
isMonochrome(), // boolean monochrome,
(globalDebugLevel > -1)); // boolean debug)
corr2d.createOrtoNotch(
imgdtt_params.getEnhOrthoWidth(isAux()), // double getEnhOrthoWidth(isAux()),
imgdtt_params.getEnhOrthoScale(isAux()), //double getEnhOrthoScale(isAux()),
(imgdtt_params.lma_debug_level > 1)); // boolean debug);
*/
Correlation2d corr2d = new Correlation2d(
imgdtt_params, // ImageDttParameters imgdtt_params,
transform_size, // int transform_size,
......@@ -532,6 +504,7 @@ public class ImageDtt extends ImageDttCPU {
(imgdtt_params.lma_debug_level > 1)); // boolean debug);
for (int indx_tile = ai.getAndIncrement(); indx_tile < num_tiles; indx_tile = ai.getAndIncrement()) {
double [][] corrs = new double [GPUTileProcessor.NUM_PAIRS][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;
......@@ -543,7 +516,7 @@ public class ImageDtt extends ImageDttCPU {
assert pair < GPUTileProcessor.NUM_PAIRS : "invalid correllation pair";
pair_mask |= (1 << pair);
for (int i = 0; i < corr_length; i++) {
corrs[pair][i] = fcorr2D[indx_corr][i]; // from float do double
corrs[pair][i] = gpu_corr_scale * fcorr2D[indx_corr][i]; // from float to double
}
indx_corr++;
}
......@@ -934,6 +907,14 @@ public class ImageDtt extends ImageDttCPU {
}
}
}
} else { // if (lma != null)
if (imgdtt_params.corr_poly_only) { // discard tile if LMA failed
disp_str[0] = Double.NaN;
disp_str[1] = 0.0;
disparity_map[DISPARITY_INDEX_CM] [tIndex] = disp_str[0];
disparity_map[DISPARITY_STRENGTH_INDEX] [tIndex] = disp_str[1];
}
}
}
} // end of if (corr_stat != null)
......
src/main/java/com/elphel/imagej/tileprocessor/ImageDttCPU.java
View file @ 2eae496d
......@@ -2439,7 +2439,9 @@ public class ImageDttCPU {
for (int i = 0; i < debug_offsets.length; i++) for (int j = 0; j < debug_offsets[i].length; j++) {
debug_offsets[i][j] = imgdtt_params.lma_dbg_offset[i][j]*imgdtt_params.lma_dbg_scale;
}
final double [] dbg_corr_shift =((imgdtt_params.pcorr_dbg_offsx != 0.0) || (imgdtt_params.pcorr_dbg_offsy != 0.0))?
(new double [] {imgdtt_params.pcorr_dbg_offsx,imgdtt_params.pcorr_dbg_offsy}):null;
final boolean macro_mode = macro_scale != 1; // correlate tile data instead of the pixel data
final int quad = 4; // number of subcameras
......@@ -2566,7 +2568,11 @@ public class ImageDttCPU {
{ 0.5, 0.5}};
final int transform_len = transform_size * transform_size;
final double [] filter = doubleGetCltLpfFd(corr_sigma);
final double [] filter = doubleGetCltLpfFd(corr_sigma);
final double [] filter_rb = doubleGetCltLpfFd(imgdtt_params.pcorr_sigma_rb);
final double [] filter_common = doubleGetCltLpfFd(imgdtt_params.getCorrSigma(isMonochrome()));
final double pcorr_fat_zero = imgdtt_params.getFatZero(isMonochrome());
// prepare disparity maps and weights
final int max_search_radius = (int) Math.abs(max_corr_radius); // use negative max_corr_radius for squares instead of circles?
......@@ -2672,7 +2678,7 @@ public class ImageDttCPU {
}
}
boolean debugTile =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -1);
boolean debugTile0 =(tileX == debug_tileX) && (tileY == debug_tileY) && (globalDebugLevel > -3);
final int [] overexp_all = (saturation_imp != null) ? ( new int [2]): null;
// Moved from inside chn loop
......@@ -3054,7 +3060,60 @@ public class ImageDttCPU {
// Debug feature - only calculated if requested
// if ((clt_corr_partial != null) && imgdtt_params.corr_mode_debug) {
if ((clt_corr_partial != null) && (imgdtt_params.corr_mode_debug || imgdtt_params.gpu_mode_debug)) {
if ((clt_corr_partial != null) && (imgdtt_params.corr_mode_debug || imgdtt_params.gpu_mode_debug)) {
if (debugTile0) {
System.out.println("Debugging tileY = "+tileY+" tileX = " + tileX);
System.out.println("Debugging tileY = "+tileY+" tileX = " + tileX);
System.out.println("Debugging tileY = "+tileY+" tileX = " + tileX);
}
double [][][] corr_pairs_td = corr2d.correlateCompositeTD(
clt_data, // double [][][][][][] clt_data,
tileX, // int tileX,
tileY, // int tileY,
0x3f, // int 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);
double [][] corrs_ortho_td = corr2d.combineCorrelationsTD(
corr_pairs_td, // double [][][] corr_combo_td, // vertical will be transposed, other diagonal flipped vertically (should be separate)
0x0f); // int pairs_mask); // vertical
if (dbg_corr_shift!= null) {
fract_shift( // fractional shift in transform domain. Currently uses sin/cos - change to tables with 2? rotations // USED in lwir
corrs_ortho_td, // double [][] clt_tile,
dbg_corr_shift[0], // double shiftX,
dbg_corr_shift[1], // double shiftY,
false); // boolean bdebug);
}
corr2d.normalize_TD(
corrs_ortho_td, // double [][] td,
filter_common, // double [] lpf, // or null
pcorr_fat_zero); // double fat_zero);
double [] corrs_ortho = corr2d.convertCorrToPD(
corrs_ortho_td); // double [][] td);
double [][] corrs_cross_td = corr2d.combineCorrelationsTD(
corr_pairs_td, // double [][][] corr_combo_td, // vertical will be transposed, other diagonal flipped vertically (should be separate)
0x30); // int pairs_mask); // vertical
if (dbg_corr_shift!= null) {
fract_shift( // fractional shift in transform domain. Currently uses sin/cos - change to tables with 2? rotations // USED in lwir
corrs_cross_td, // double [][] clt_tile,
dbg_corr_shift[0], // double shiftX,
dbg_corr_shift[1], // double shiftY,
false); // boolean bdebug);
}
corr2d.normalize_TD(
corrs_cross_td, // double [][] td,
filter_common, // double [] lpf, // or null
pcorr_fat_zero); // double fat_zero);
double [] corrs_cross = corr2d.convertCorrToPD(
corrs_cross_td); // double [][] td);
double [] strip_ortho = corr2d.combineInterpolatedCorrelations(
strips, // double [][] strips,
0x0f, // int pairs_mask,
......@@ -3093,8 +3152,10 @@ public class ImageDttCPU {
clt_corr_partial[tileY][tileX][0][3] = corrs[3]; // 4
clt_corr_partial[tileY][tileX][1][0] = corrs[4]; // 5
clt_corr_partial[tileY][tileX][1][1] = corrs[5]; // 6
clt_corr_partial[tileY][tileX][1][2] = corr2d.debugStrip(strip_hor); // 7
clt_corr_partial[tileY][tileX][1][3] = corr2d.debugStrip(strip_vert); // 8
clt_corr_partial[tileY][tileX][1][2] = corrs_ortho; // 7
clt_corr_partial[tileY][tileX][1][3] = corrs_cross; // 8
// clt_corr_partial[tileY][tileX][1][2] = corr2d.debugStrip(strip_hor); // 7
// clt_corr_partial[tileY][tileX][1][3] = corr2d.debugStrip(strip_vert); // 8
clt_corr_partial[tileY][tileX][2][0] = corr2d.debugStrip(strips[4]); // 9
clt_corr_partial[tileY][tileX][2][1] = corr2d.debugStrip(strips[5]); // 10
clt_corr_partial[tileY][tileX][2][2] = corr2d.debugStrip2(strip_hor); // 11
......
src/main/java/com/elphel/imagej/tileprocessor/QuadCLT.java
View file @ 2eae496d
......@@ -277,7 +277,7 @@ public class QuadCLT extends QuadCLTCPU {
};
gpuQuad.setLpfRbg( // constants memory - same for all cameras
lpf_rgb,
!batch_mode);
true); // !batch_mode);
float [] lpf_flat = image_dtt.floatGetCltLpfFd(clt_parameters.getGpuCorrSigma(is_mono));
......@@ -499,10 +499,20 @@ public class QuadCLT extends QuadCLTCPU {
boolean is_lwir = quadCLT_main.isLwir();
double fat_zero = clt_parameters.getGpuFatZero(is_mono); // 30.0;
/*
double [] scales = (is_mono) ? (new double [] {1.0}) :(new double [] {
clt_parameters.gpu_weight_r, // 0.25
clt_parameters.gpu_weight_b, // 0.25
1.0 - clt_parameters.gpu_weight_r - clt_parameters.gpu_weight_b}); // 0.5
*/
double corr_green = 1.0/(1.0 + clt_parameters.gpu_weight_r + clt_parameters.gpu_weight_b); // green color
// the same, as col_weights, for separate debugging
double [] scales= (is_mono) ? (new double [] {1.0}) :(new double [] {
clt_parameters.gpu_weight_r * corr_green,
clt_parameters.gpu_weight_b * corr_green,
corr_green});
double cwgreen = 1.0/(1.0 + clt_parameters.corr_red + clt_parameters.corr_blue); // green color
double [] col_weights= (is_mono) ? (new double [] {1.0}) :(new double [] {
clt_parameters.corr_red * cwgreen,
......@@ -522,20 +532,20 @@ public class QuadCLT extends QuadCLTCPU {
};
quadCLT_main.getGPU().setLpfRbg( // constants memory - same for all cameras
lpf_rgb,
debugLevel > -1);
debugLevel > -1); // -3
float [] lpf_flat = image_dtt.floatGetCltLpfFd(clt_parameters.getGpuCorrSigma(is_mono));
quadCLT_main.getGPU().setLpfCorr(// constants memory - same for all cameras
"lpf_corr", // String const_name, // "lpf_corr"
lpf_flat,
debugLevel > -1);
debugLevel > -1); // -3
float [] lpf_rb_flat = image_dtt.floatGetCltLpfFd(clt_parameters.getGpuCorrRBSigma(is_mono));
quadCLT_main.getGPU().setLpfCorr(// constants memory - same for all cameras
"lpf_rb_corr", // String const_name, // "lpf_corr"
lpf_rb_flat,
debugLevel > -1);
debugLevel > -1); // -3
final boolean use_aux = false; // currently GPU is configured for a single quad camera
......@@ -1171,7 +1181,9 @@ public class QuadCLT extends QuadCLTCPU {
texture_woi, // texture_woi, // null or generated texture location/size
null, // iclt_fimg, // will return quad images or null to skip, use quadCLT.linearStackToColor
// new parameters, will replace some other?
clt_parameters.getFatZero(isMonochrome()), // final double gpu_fat_zero, // clt_parameters.getGpuFatZero(is_mono);absolute == 30.0
// clt_parameters.getFatZero(isMonochrome()), // final double gpu_fat_zero, // clt_parameters.getGpuFatZero(is_mono);absolute == 30.0\
clt_parameters.gpu_corr_scale, // gpu_corr_scale, // 0.75; // reduce GPU-generated correlation values
clt_parameters.getGpuFatZero(isMonochrome()), // final double gpu_fat_zero, // clt_parameters.getGpuFatZero(is_mono);absolute == 30.0\
clt_parameters.gpu_sigma_r, // 0.9, 1.1
clt_parameters.gpu_sigma_b, // 0.9, 1.1
clt_parameters.gpu_sigma_g, // 0.6, 0.7
......
src/main/java/com/elphel/imagej/tileprocessor/QuadCLTCPU.java
View file @ 2eae496d
......@@ -9954,7 +9954,7 @@ public class QuadCLTCPU {
tilesX*(2*image_dtt.transform_size),
tilesY*(2*image_dtt.transform_size),
true,
image_name+sAux()+"-PART_CORR-GPU-D"+clt_parameters.disparity);
image_name+sAux()+"-PART_CORR-CPU-D"+clt_parameters.disparity);
}
}
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment