"# find_sigma(tif[9][20], tif[10][20],0.23) # we need to play with sigma until we find a value at which all the contours are black and the rest is not\n",
"x_mid, y_mid, z_mid, r = np.genfromtxt(base_folder + '/mid_point_and_radius.csv', delimiter=',')\n",
...
...
@@ -28,25 +23,35 @@
"sigma = 0.23\n",
"d = 20\n",
"FRAP = 1\n",
"N = 8 # when FRAP lot of point in the midlle are created => can lead to a long time for meshing 1D. The number of points is divided by this value\n",
"N = 8 # when FRAP lot of points are created => can lead to a long time for meshing 1D. The number of points is divided by this value\n",
"\n",
"# Recommended values of precision = [best:0.0025, worst:0.05]\n",
"lc_min = 0.032\n",
"lc_min_selected = 0.01\n",
"lc_min_frap = 0.02\n",
"\n",
"# find_sigma(FRAP,tif[9][20], tif[10][20],0.23) # we need to play with sigma until we find a value at which all the contours are black and the rest is not\n",
N=8# when FRAP lot of point in the midlle are created => can lead to a long time for meshing 1D. The number of points is divided by this value
N=8# when FRAP lot of points are created => can lead to a long time for meshing 1D. The number of points is divided by this value
# Recommended values of precision = [best:0.0025, worst:0.05]
lc_min=0.032
lc_min_selected=0.01
lc_min_frap=0.02
# find_sigma(FRAP,tif[9][20], tif[10][20],0.23) # we need to play with sigma until we find a value at which all the contours are black and the rest is not