"Combo strength is cubic root of the product of main, aux and intyer correlation strengths");
gd.addNumericField("Trusted tolerance for small baseline camera(s)",this.trusted_tolerance,3,6,"",
"When downscaling valid residual disparity from the most sensitive inter-camera, do not reduce it to be lower than this");
gd.addTab("ML","Parameters related to the ML files generation for the dual-quad camera rig");
gd.addNumericField("Half-width of the ML tiles to export (0-> 1x1, 1->3x3, 2 -> 5x5)",this.ml_hwidth,0,3,"",
"Amount of data to export to the ML system");
gd.addNumericField("Disparity sweep around ground truth, each side",this.ml_disparity_sweep,3,6,"",
"Sweep symmetrically target disparity around the ground truth disparity, each side");
gd.addNumericField("Number of target disparity sweep steps",this.ml_sweep_steps,0,3,"",
"Generate this many files for each file set. Each tile results depend on the target disparity and this tile data, do not depend on other tiles target disparity");
gd.addCheckbox("Include auxiliary camera data in the ML output",this.ml_keep_aux,
"ML output will have the second set of the layers for the auxiliary camera. Disparity values should be scaled for the camera baseline");
"Inter-camera correlation data has only one layer (and one correlation pair). It is used to generate ground truth data. Usable disparity range (measured in the main camera pixels) is ~1/5 of teh main camera");
"Each of these two layers per camera are calculated from a pair of top/bottom and left/right pairs. Can possibly be used instead of originals to reduce amount of input data");
center_corr[ndir+6][indx++]=cc;// save to 6-th and 7-th layer
}
findx+=width-owidth;
}
}
}
/**
* Save 2d correlation data for one layer, one tile into the combined multi-layer ML array, viewable as an image
* @param tileX horizontal tile index
* @param tileY vertical tile index
* @param ml_hwidth half-width of the preserved 2d correlation (0 - single point, 1 -> 3x3, 2 -> 5x5, 7 - all data)
* @param ml_data multi-layer array, each layer matches an image of ((2 * ml_hwidth + 1) * tilesX) by ((2 * ml_hwidth + 1) * tilesY) in scanline order
* Each tile corresponds to (2 * ml_hwidth + 1) * (2 * ml_hwidth + 1) square in the image. Only selected tiles will be updated, so it is good to initialize array
* with all Double.NaN values
* @param ml_layer layer to save tile data
* @param ml_tile (2 * ml_hwidth + 1) * (2 * ml_hwidth + 1) tile data to be saved
* Save a single value to the combined multi-layer ML array, viewable as an image
* @param tileX horizontal tile index
* @param tileY vertical tile index
* @param ml_hwidth half-width of the preserved 2d correlation (0 - single point, 1 -> 3x3, 2 -> 5x5, 7 - all data)
* @param ml_data multi-layer array, each layer matches an image of ((2 * ml_hwidth + 1) * tilesX) by ((2 * ml_hwidth + 1) * tilesY) in scanline order
* Each tile corresponds to (2 * ml_hwidth + 1) * (2 * ml_hwidth + 1) square in the image. Only selected tiles will be updated, so it is good to initialize array
