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IoU for 3D boxes · facebookresearch/pytorch3d@2293f1f · GitHub
Copy file name to clipboardExpand all lines: pytorch3d/ops/sample_farthest_points.py
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Commit 2293f1f
IoU for 3D boxes
Summary:
I have implemented an exact solution for 3D IoU of oriented 3D boxes.
This file includes:
* box3d_overlap: which computes the exact IoU of box1 and box2
* box3d_overlap_sampling: which computes an approximate IoU of box1 and box2 by sampling points within the boxes
Note that both implementations currently do not support batching.
Our exact IoU implementation is based on the fact that the intersecting shape of the two 3D boxes will be formed by segments of the surface of the boxes. Our algorithm computes these segments by reasoning whether triangles of one box are within the second box and vice versa. We deal with intersecting triangles by clipping them.
Reviewed By: gkioxari
Differential Revision: D30667497
fbshipit-source-id: 2f747f410f90b7f854eeaf3036794bc3ac9829171 parent 5b89c4e commit 2293f1fCopy full SHA for 2293f1f
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