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Fix saving / loading empty PLY meshes
Summary: Similar to D20392526, PLY files without vertices or faces should be allowed: - a PLY with only vertices can represent a point cloud - a PLY without any vertex or face is just empty - a PLY with faces referencing inexistent vertices has invalid data Reviewed By: gkioxari Differential Revision: D20400330 fbshipit-source-id: 35a5f072603fd221f382c7faad5f37c3e0b49bb1
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@@ -139,6 +139,90 @@ class TestMeshPlyIO(TestCaseMixin, unittest.TestCase):
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]
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self.assertClose(faces, torch.LongTensor(faces_expected))
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def test_save_ply_invalid_shapes(self):
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# Invalid vertices shape
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with self.assertRaises(ValueError) as error:
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verts = torch.FloatTensor([[0.1, 0.2, 0.3, 0.4]]) # (V, 4)
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faces = torch.LongTensor([[0, 1, 2]])
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save_ply(StringIO(), verts, faces)
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expected_message = (
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"Argument 'verts' should either be empty or of shape (num_verts, 3)."
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)
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self.assertTrue(expected_message, error.exception)
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# Invalid faces shape
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with self.assertRaises(ValueError) as error:
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verts = torch.FloatTensor([[0.1, 0.2, 0.3]])
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faces = torch.LongTensor([[0, 1, 2, 3]]) # (F, 4)
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save_ply(StringIO(), verts, faces)
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expected_message = (
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"Argument 'faces' should either be empty or of shape (num_faces, 3)."
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)
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self.assertTrue(expected_message, error.exception)
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def test_save_ply_invalid_indices(self):
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message_regex = "Faces have invalid indices"
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verts = torch.FloatTensor([[0.1, 0.2, 0.3]])
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faces = torch.LongTensor([[0, 1, 2]])
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with self.assertWarnsRegex(UserWarning, message_regex):
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save_ply(StringIO(), verts, faces)
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faces = torch.LongTensor([[-1, 0, 1]])
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with self.assertWarnsRegex(UserWarning, message_regex):
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save_ply(StringIO(), verts, faces)
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def _test_save_load(self, verts, faces):
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f = StringIO()
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save_ply(f, verts, faces)
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f.seek(0)
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# raise Exception(f.getvalue())
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expected_verts, expected_faces = verts, faces
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if not len(expected_verts): # Always compare with a (V, 3) tensor
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expected_verts = torch.zeros(size=(0, 3), dtype=torch.float32)
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if not len(expected_faces): # Always compare with an (F, 3) tensor
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expected_faces = torch.zeros(size=(0, 3), dtype=torch.int64)
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actual_verts, actual_faces = load_ply(f)
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self.assertClose(expected_verts, actual_verts)
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self.assertClose(expected_faces, actual_faces)
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def test_empty_save_load(self):
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# Vertices + empty faces
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verts = torch.tensor([[0.1, 0.2, 0.3]])
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faces = torch.LongTensor([])
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self._test_save_load(verts, faces)
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faces = torch.zeros(size=(0, 3), dtype=torch.int64)
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self._test_save_load(verts, faces)
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# Faces + empty vertices
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message_regex = "Faces have invalid indices"
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verts = torch.FloatTensor([])
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faces = torch.LongTensor([[0, 1, 2]])
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with self.assertWarnsRegex(UserWarning, message_regex):
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self._test_save_load(verts, faces)
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verts = torch.zeros(size=(0, 3), dtype=torch.float32)
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with self.assertWarnsRegex(UserWarning, message_regex):
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self._test_save_load(verts, faces)
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# Empty vertices + empty faces
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message_regex = "Empty 'verts' and 'faces' arguments provided"
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verts0 = torch.FloatTensor([])
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faces0 = torch.LongTensor([])
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with self.assertWarnsRegex(UserWarning, message_regex):
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self._test_save_load(verts0, faces0)
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faces3 = torch.zeros(size=(0, 3), dtype=torch.int64)
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with self.assertWarnsRegex(UserWarning, message_regex):
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self._test_save_load(verts0, faces3)
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verts3 = torch.zeros(size=(0, 3), dtype=torch.float32)
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with self.assertWarnsRegex(UserWarning, message_regex):
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self._test_save_load(verts3, faces0)
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with self.assertWarnsRegex(UserWarning, message_regex):
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self._test_save_load(verts3, faces3)
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def test_simple_save(self):
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verts = torch.tensor(
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[[0, 0, 0], [0, 0, 1], [0, 1, 0], [1, 0, 0]], dtype=torch.float32
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@@ -378,6 +462,11 @@ class TestMeshPlyIO(TestCaseMixin, unittest.TestCase):
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lines2.insert(5, "property float z")
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lines2.insert(5, "property float y")
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lines2[-2] = "0 0 0"
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lines2[-1] = ""
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with self.assertRaisesRegex(ValueError, "Not enough data for face."):
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load_ply(StringIO("\n".join(lines2)))
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lines2[-1] = "2 0 0"
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with self.assertRaisesRegex(ValueError, "Faces must have at least 3 vertices."):
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load_ply(StringIO("\n".join(lines2)))
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