docstr: Case 1: Single triangle fully in front of the image plane (z=0)
  Triangle is not clipped or culled. The triangle is asummed to have
  already been projected onto the image plane so no perspective
  correction is needed.
docstr_tok: ["Case","1",":","Single","triangle","fully","in","front","of","the","image","plane","(","z=0",")","Triangle","is","not","clipped","or","culled",".","The","triangle","is","asummed","to","have","already","been","projected","onto","the","image","plane","so","no","perspective","correction","is","needed","."]
code: def test_case_1(self):
      """
      Case 1: Single triangle fully in front of the image plane (z=0)
      Triangle is not clipped or culled. The triangle is asummed to have
      already been projected onto the image plane so no perspective
      correction is needed.
      """
      device = "cuda:0"
      verts = torch.tensor(
          [[0.0, 0.0, 1.0], [1.0, 0.0, 1.0], [0.0, 1.0, 1.0]],
          dtype=torch.float32,
          device=device,
      )
      faces = torch.tensor(
          [
              [0, 1, 2],
          ],
          dtype=torch.int64,
          device=device,
      )
      meshes = Meshes(verts=[verts], faces=[faces])
      clipped_faces = self.clip_faces(meshes)
  
      self.assertClose(clipped_faces.face_verts, verts[faces])
      self.assertEqual(clipped_faces.mesh_to_face_first_idx.item(), 0)
      self.assertEqual(clipped_faces.num_faces_per_mesh.item(), 1)
      self.assertIsNone(clipped_faces.faces_clipped_to_unclipped_idx)
      self.assertIsNone(clipped_faces.faces_clipped_to_conversion_idx)
      self.assertIsNone(clipped_faces.clipped_faces_neighbor_idx)
      self.assertIsNone(clipped_faces.barycentric_conversion)
  
imports: import unittest
  import imageio
  import numpy
  import torch
  from pytorch3d.io import save_obj
  from pytorch3d.renderer.cameras import FoVPerspectiveCameras, look_at_view_transform, PerspectiveCameras
  from pytorch3d.renderer.lighting import PointLights
  from pytorch3d.renderer.mesh import clip_faces, ClipFrustum, convert_clipped_rasterization_to_original_faces, TexturesUV
  from pytorch3d.renderer.mesh.rasterize_meshes import _RasterizeFaceVerts
  from pytorch3d.renderer.mesh.rasterizer import MeshRasterizer, RasterizationSettings
  from pytorch3d.renderer.mesh.renderer import MeshRenderer
  from pytorch3d.renderer.mesh.shader import SoftPhongShader
  from pytorch3d.renderer.mesh.textures import TexturesVertex
  from pytorch3d.structures.meshes import Meshes
  from pytorch3d.utils import torus
  from .common_testing import get_tests_dir, load_rgb_image, TestCaseMixin
label_desc: Use image node_id 5 for calling the TestRenderMeshesClipping obj's underlying member method code with example usage: obj.test_case_1() without return types