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dimatura / binvox-rw-py

Python module to read and write .binvox files.
GNU General Public License v3.0
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What the x,y,z coordinates locations denotes (mid point of voxel or anything else)? #10

Closed ashishgupta2598 closed 4 years ago

ashishgupta2598 commented 4 years ago

What are these x,y,z coordinates locations, outputting by binvox_rw.read_as_coord_array(f) function. Are they mid point of any voxel or any vertices of a particular voxel. I want to find all the 8 vertices of a voxel. So please let me know the conversion formulas.

jingnanshi commented 4 years ago

See pull request #11 . If you are using python 3, you need to fix the division to the correct integer division operator. The coordinates returned by read_as_coord_array should be the indices of each vox in 3D.

jingnanshi commented 4 years ago

I'll reply your question here. The indices are just integer indices of the voxels. So for a 32 by 32 by 32 model, the indices i,j,k will be from 0 to 31. They just represent the indices of each voxel in the model.

To find all 8 vertices of a voxel, you can do something like this:

# lower left corner
x_n = i/dims[0]
y_n = j/dims[1]
z_n = k/dims[2]
x = scale*x_n + translate[0]
y = scale*y_n + translate[1]
z = scale*z_n + translate[2]

# upper right corner
x_n = (i+1)/dims[0]
y_n = (j+1)/dims[1]
z_n = (k+1)/dims[2]
x = scale*x_n + translate[0]
y = scale*y_n + translate[1]
z = scale*z_n + translate[2]

# and do something similar for the other 6 ...
ashishgupta2598 commented 4 years ago

Got it. Thanks a lot. You literally save my work.

On Mon, 18 Nov 2019, 11:54 p.m. Jingnan Shi <notifications@github.com wrote:

I'll reply your question here. The indices are just integer indices of the voxels. So for a 32 by 32 by 32 model, the indices i,j,k will be from 0 to

  1. They just represent the indices of each voxel in the model.

To find all 8 vertices of a voxel, you can do something like this:

lower left corner

x_n = i/dims[0] y_n = j/dims[1] z_n = k/dims[2] x = scalex_n + translate[0] y = scaley_n + translate[1] z = scale*z_n + translate[2]

upper right corner

x_n = (i+1)/dims[0] y_n = (j+1)/dims[1] z_n = (k+1)/dims[2] x = scalex_n + translate[0] y = scaley_n + translate[1] z = scale*z_n + translate[2]

and do something similar for the other 6 ...

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jingnanshi commented 4 years ago

This might also help you: https://www.patrickmin.com/binvox/binvox.html I'm glad I can help.

ashishgupta2598 commented 4 years ago

Thanks a lot for this also.

On Mon, 18 Nov 2019, 11:59 p.m. Jingnan Shi <notifications@github.com wrote:

This might also help you: https://www.patrickmin.com/binvox/binvox.html I'm glad I can help.

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