include TexturesUV in IO.save_mesh(x.obj)

Summary:
Added export of UV textures to IO.save_mesh in Pytorch3d
MeshObjFormat now passes verts_uv, faces_uv, and texture_map as input to save_obj

TODO: check if TexturesUV.verts_uv_list or TexturesUV.verts_uv_padded() should be passed to save_obj

IO.save_mesh(obj_file, meshes, decimal_places=2) should be IO().save_mesh(obj_file, meshes, decimal_places=2)

Reviewed By: bottler

Differential Revision: D39617441

fbshipit-source-id: 4628b7f26f70e38c65f235852b990c8edb0ded23

Author: micramamonjisoa

pytorch3d/io/obj_io.py

@@ -334,12 +334,25 @@ def save(
 
         verts = data.verts_list()[0]
         faces = data.faces_list()[0]
+
+        verts_uvs: Optional[torch.Tensor] = None
+        faces_uvs: Optional[torch.Tensor] = None
+        texture_map: Optional[torch.Tensor] = None
+
+        if isinstance(data.textures, TexturesUV):
+            verts_uvs = data.textures.verts_uvs_padded()[0]
+            faces_uvs = data.textures.faces_uvs_padded()[0]
+            texture_map = data.textures.maps_padded()[0]
+
         save_obj(
             f=path,
             verts=verts,
             faces=faces,
             decimal_places=decimal_places,
             path_manager=path_manager,
+            verts_uvs=verts_uvs,
+            faces_uvs=faces_uvs,
+            texture_map=texture_map,
         )
         return True
 

tests/test_io_obj.py

@@ -1050,6 +1050,68 @@ def test_save_obj_with_texture_errors(self):
                 texture_map=texture_map[..., 1],  # Incorrect shape
             )
 
+    def test_save_obj_with_texture_IO(self):
+        verts = torch.tensor(
+            [[0.01, 0.2, 0.301], [0.2, 0.03, 0.408], [0.3, 0.4, 0.05], [0.6, 0.7, 0.8]],
+            dtype=torch.float32,
+        )
+        faces = torch.tensor(
+            [[0, 2, 1], [0, 1, 2], [3, 2, 1], [3, 1, 0]], dtype=torch.int64
+        )
+        verts_uvs = torch.tensor(
+            [[0.02, 0.5], [0.3, 0.03], [0.32, 0.12], [0.36, 0.17]],
+            dtype=torch.float32,
+        )
+        faces_uvs = faces
+        texture_map = torch.randint(size=(2, 2, 3), high=255) / 255.0
+
+        with TemporaryDirectory() as temp_dir:
+            obj_file = os.path.join(temp_dir, "mesh.obj")
+            textures_uv = TexturesUV([texture_map], [faces_uvs], [verts_uvs])
+            test_mesh = Meshes(verts=[verts], faces=[faces], textures=textures_uv)
+
+            IO().save_mesh(data=test_mesh, path=obj_file, decimal_places=2)
+
+            expected_obj_file = "\n".join(
+                [
+                    "",
+                    "mtllib mesh.mtl",
+                    "usemtl mesh",
+                    "",
+                    "v 0.01 0.20 0.30",
+                    "v 0.20 0.03 0.41",
+                    "v 0.30 0.40 0.05",
+                    "v 0.60 0.70 0.80",
+                    "vt 0.02 0.50",
+                    "vt 0.30 0.03",
+                    "vt 0.32 0.12",
+                    "vt 0.36 0.17",
+                    "f 1/1 3/3 2/2",
+                    "f 1/1 2/2 3/3",
+                    "f 4/4 3/3 2/2",
+                    "f 4/4 2/2 1/1",
+                ]
+            )
+            expected_mtl_file = "\n".join(["newmtl mesh", "map_Kd mesh.png", ""])
+
+            # Check there are only 3 files in the temp dir
+            tempfiles = ["mesh.obj", "mesh.png", "mesh.mtl"]
+            tempfiles_dir = os.listdir(temp_dir)
+            self.assertEqual(Counter(tempfiles), Counter(tempfiles_dir))
+
+            # Check the obj file is saved correctly
+            actual_file = open(obj_file, "r")
+            self.assertEqual(actual_file.read(), expected_obj_file)
+
+            # Check the mtl file is saved correctly
+            mtl_file_name = os.path.join(temp_dir, "mesh.mtl")
+            mtl_file = open(mtl_file_name, "r")
+            self.assertEqual(mtl_file.read(), expected_mtl_file)
+
+            # Check the texture image file is saved correctly
+            texture_image = load_rgb_image("mesh.png", temp_dir)
+            self.assertClose(texture_image, texture_map)
+
     @staticmethod
     def _bm_save_obj(verts: torch.Tensor, faces: torch.Tensor, decimal_places: int):
         return lambda: save_obj(StringIO(), verts, faces, decimal_places)