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Accumulate points (#4)

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Summary:
Code for accumulating points in the z-buffer in three ways:
1. weighted sum
2. normalised weighted sum
3. alpha compositing

Pull Request resolved: https://github.com/fairinternal/pytorch3d/pull/4

Reviewed By: nikhilaravi

Differential Revision: D20522422

Pulled By: gkioxari

fbshipit-source-id: 5023baa05f15e338f3821ef08f5552c2dcbfc06c
This commit is contained in:
Olivia
2020-03-19 11:19:39 -07:00
committed by Facebook GitHub Bot
parent 5218f45c2c
commit 53599770dd
21 changed files with 2466 additions and 4 deletions
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5
tests/test_face_areas_normals.py
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@@ -76,7 +76,10 @@ class TestFaceAreasNormals(TestCaseMixin, unittest.TestCase):
verts_torch = verts.detach().clone().to(dtype)
verts_torch.requires_grad = True
faces_torch = faces.detach().clone()
areas_torch, normals_torch = TestFaceAreasNormals.face_areas_normals_python(
(
areas_torch,
normals_torch,
) = TestFaceAreasNormals.face_areas_normals_python(
verts_torch, faces_torch
)
self.assertClose(areas_torch, areas, atol=1e-7)