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|(./) I feel like I need something more in the previous to finish explaining what this output is and how it comes out of densify. But the stuff that I put under the sample seemed like it explained what is there. Maybe part of it goes in the description and less of it in the explanation???||(./) I feel like I need something more here to finish describing what this output is and how it comes out of densify. Maybe something about differences in Q size or shape model?|
This text file is the shape model that SPC uses. SHAPE.TXT is output by densify.
The shape is in the ICQ format, which is basically a 6-sided cube. Q size (resolution) values are between 8 and 512 in increments of factors of 2: 8, 16, 32, 64, 128, 256, 512.
I feel like I need something more here to finish describing what this output is and how it comes out of densify. Maybe something about differences in Q size or shape model?
Here is a sample SHAPE.TXT file:
128 -218.72182 -8.78589 136.89489 -217.94953 -6.10207 138.09736 -217.59664 -3.46244 139.74751 -216.83911 -0.75086 140.98874 -216.04842 1.95086 142.19411 -215.34667 4.53459 143.49143 -214.06968 7.13078 144.16124 -212.35048 9.69145 144.34511 -210.62577 12.23122 144.54863 -209.47201 14.69014 145.33889 -208.85169 17.21845 146.67393 -208.58685 19.86090 148.37467 .....
The output values are:
Line 1 - Q (resolution). This gives the number of nodes for i and j. Multiple Q by 6 coordinate vector spaces to fill out the entire region.
Q*Q*6 is the total number of nodes, and line entries in this file.
A Q of 512 is the largest that we represent. It contains 1.5 million vertices and is 56 MB uncompressed.
Lines 2 and following - The location of a vertex in i, j, k space (Cartesian coordinates).
(Compiled by KD)