test_blur_input_v23b.txt

# data file for generating the blurred image dataset

#0 scenraio name: this is the name that is prepended to the rest of the files.  End with "_"
tb23b_

#1 background: depthmap value, probablility, blur radius values - br1, br2, br1, br2,... 
# 101,102,103,104,105,106,107,108,109,110
#22,0.31, {12,12,12,13,13,13,14,14}, {1,1,2,2,2,3,3,3}
22,0.31, 12,1, 12,1, 12,2, 13,2, 13,2, 13,3, 14,3, 14,3

#2 foreground: depthmap value, probablility, blur radius values - br1, br2, br1, br2,... 
# 70,71,72,73,74,75,76,77,78,79
#0,0.35, {7,6,5,5,4,3,3,2,1}, {17,17,16,15,14,14,13,12,12}
0,0.35, 7,17, 6,17, 5,16, 5,15, 4,14, 3,14, 3,13, 2,12, 1,12

#3 ROI depthmap values, the first value is the foregraound depthmap value and the last value is the background depthmap value
# 0 => all values before the region of interest, 22 => all values after the region of interest
# 80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100
1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,18,19,20,21

#4 sigma values, the number of values should be greater than the number of depthmap values, DM values are used to index sigma values: 0.0005
0.1725,0.3450,0.5175,0.6900,0.8625,1.0350,1.2075,1.3800,1.5525,1.7250,1.8975,2.0700,2.2425,2.4150,2.5875,2.7600,2.9325,3.1050,3.2775,3.4500,3.6225,3.7950,3.9675,4.1400,4.3125,4.4850,4.6575,4.8300,5.0025,5.1750,5.3475,5.5200,5.6925,5.8650,6.0375,6.2100,6.3825,6.5550,6.7275,6.9000,7.0725,7.2450,7.4175,7.5900,7.7625,7.9350,8.1075,8.2800,8.4525,8.6250,8.7975,8.9700,9.1425,9.3150,9.4875,9.6600,9.8325,10.0050,10.1775,10.3500,10.5225,10.6950,10.8675,11.0400,11.2125,11.3850,11.5575,11.7300,11.9025,12.0750,12.2475

#5 blur radius table 1, the number of values should match the number of depthmap values
1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11

#6 blur radius table 2, the number of values should match the number of depthmap values
11,10,9,9,8,8,7,7,6,6,5,5,4,4,3,3,2,2,1,1

#7 aperture (mm), slope, intercept, min wavelength (nm), max wavelength (nm), min refractive index (m^(-2/3)), max refractive index (m^(-2/3))
95, 10, 600, 380, 800, 0.00000000000001, 0.00000000000000001

#8 dataset type: 0 -> random image, 1 -> other, 2-> knife edge
0

#9 image size: height, width
512, 512

#10 maximum number of depthmap values within a single image
10

#11 starting number of objects in the farthest layer
50

#12 number of images to generate
50

#13 save location
d:/data/dfd/tb23b_test2/