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Bug fix in rendering clipped meshes

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Summary:
There was a bug when `z_clip_value` is not None but there are no faces which are actually visible in the image due to culling.  In `rasterize_meshes.py` a function `convert_clipped_rasterization_to_original_faces` is called to convert the clipped face indices etc back to the unclipped versions, but the case where there is no clipping was not handled correctly.

Fixes Github Issue #632

Reviewed By: bottler

Differential Revision: D29116150

fbshipit-source-id: fae82a0b4848c84b3ed7c7b04ef5c9848352cf5c
This commit is contained in:
Nikhila Ravi 2021-06-15 07:50:33 -07:00 committed by Facebook GitHub Bot
parent bc8361fa47
commit c75ca04cf7
2 changed files with 29 additions and 18 deletions
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7
pytorch3d/renderer/mesh/clip.py
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@ -638,8 +638,11 @@ def convert_clipped_rasterization_to_original_faces(
""" """
faces_clipped_to_unclipped_idx = clipped_faces.faces_clipped_to_unclipped_idx faces_clipped_to_unclipped_idx = clipped_faces.faces_clipped_to_unclipped_idx
# If no clipping or culling then return inputs # If no clipping then return inputs
if faces_clipped_to_unclipped_idx is None: if (
faces_clipped_to_unclipped_idx is None
or faces_clipped_to_unclipped_idx.numel() == 0
):
return pix_to_face_clipped, bary_coords_clipped return pix_to_face_clipped, bary_coords_clipped
device = pix_to_face_clipped.device device = pix_to_face_clipped.device

40
tests/test_render_meshes_clipped.py
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@ -657,22 +657,30 @@ class TestRenderMeshesClipping(TestCaseMixin, unittest.TestCase):
def test_mesh_outside_frustrum(self): def test_mesh_outside_frustrum(self):
""" """
Test the case where the mesh is completely outside the view Test cases:
1. Where the mesh is completely outside the view
frustrum so all faces are culled and z_clip_value = None. frustrum so all faces are culled and z_clip_value = None.
2. Where the part of the mesh is in the view frustrum but
the z_clip value = 5.0 so all the visible faces are behind
the clip plane so are culled instead of clipped.
""" """
device = "cuda:0" device = "cuda:0"
mesh = torus(20.0, 85.0, 32, 16, device=device) mesh1 = torus(20.0, 85.0, 32, 16, device=device)
tex = TexturesVertex(verts_features=torch.rand_like(mesh.verts_padded())) mesh2 = torus(2.0, 3.0, 32, 16, device=device)
mesh.textures = tex for (mesh, z_clip) in [(mesh1, None), (mesh2, 5.0)]:
raster_settings = RasterizationSettings(image_size=512, cull_to_frustum=True) tex = TexturesVertex(verts_features=torch.rand_like(mesh.verts_padded()))
R, T = look_at_view_transform(1.0, 0.0, 0.0) mesh.textures = tex
cameras = PerspectiveCameras(device=device, R=R, T=T) raster_settings = RasterizationSettings(
renderer = MeshRenderer( image_size=512, cull_to_frustum=True, z_clip_value=z_clip
rasterizer=MeshRasterizer(cameras=cameras, raster_settings=raster_settings), )
shader=SoftPhongShader(cameras=cameras, device=device), R, T = look_at_view_transform(3.0, 0.0, 0.0)
) cameras = PerspectiveCameras(device=device, R=R, T=T)
images = renderer(mesh) renderer = MeshRenderer(
rasterizer=MeshRasterizer(
# Mesh is completely outside the view frustrum cameras=cameras, raster_settings=raster_settings
# The image should be white. ),
self.assertClose(images[0, ..., :3], torch.ones_like(images[0, ..., :3])) shader=SoftPhongShader(cameras=cameras, device=device),
)
images = renderer(mesh)
# The image should be white.
self.assertClose(images[0, ..., :3], torch.ones_like(images[0, ..., :3]))