code: def test_unproject_and_project(self, device, dtype):
      depth = 2 * torch.tensor(
          [
              [
                  [
                      [1.0, 1.0, 1.0],
                      [1.0, 1.0, 1.0],
                      [1.0, 1.0, 1.0],
                      [1.0, 1.0, 1.0],
                  ]
              ]
          ],
          device=device,
          dtype=dtype,
      )
  
      camera_matrix = torch.tensor(
          [[[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]],
          device=device,
          dtype=dtype,
      )
  
      points3d = kornia.geometry.depth.depth_to_3d(depth, camera_matrix)
      points2d = kornia.geometry.camera.project_points(
          points3d.permute(0, 2, 3, 1), camera_matrix[:, None, None]
      )
      points2d_expected = kornia.utils.create_meshgrid(
          4, 3, False, device=device
      ).to(dtype=dtype)
      assert_close(points2d, points2d_expected, atol=1e-4, rtol=1e-4)
  
imports: import pytest
  import torch
  from torch.autograd import gradcheck
  import kornia
  import kornia.testing
  from kornia.testing import assert_close
label_desc: Use image node_id 8 for calling the TestDepthTo3d obj's underlying member method code with example usage: obj.test_unproject_and_project(device, dtype) without return types