code: def test_parse_and_verify_image_size(self):
      img_size = _parse_and_verify_image_size(512)
      self.assertEqual(img_size, (512, 512))
  
      img_size = _parse_and_verify_image_size((2047, 10))
      self.assertEqual(img_size, (2047, 10))
  
      img_size = _parse_and_verify_image_size((10, 2047))
      self.assertEqual(img_size, (10, 2047))
  
      with self.assertRaisesRegex(
          ValueError, "Max rasterization size is"
      ):
          _parse_and_verify_image_size((2049, 512))
  
      with self.assertRaisesRegex(
          ValueError, "Max rasterization size is"
      ):
          _parse_and_verify_image_size((512, 2049))
  
      with self.assertRaisesRegex(
          ValueError, "Max rasterization size is"
      ):
          _parse_and_verify_image_size((2049, 2049))
  
      rasterizer = MeshRasterizerOpenGL(FoVPerspectiveCameras().cuda())
      raster_settings = RasterizationSettings()
  
      raster_settings.image_size = 512
      fragments = rasterizer(
          self.meshes_world, raster_settings=raster_settings
      )
      self.assertEqual(
          fragments.pix_to_face.shape, torch.Size([1, 512, 512, 1])
      )
  
      raster_settings.image_size = (2047, 10)
      fragments = rasterizer(
          self.meshes_world, raster_settings=raster_settings
      )
      self.assertEqual(
          fragments.pix_to_face.shape, torch.Size([1, 2047, 10, 1])
      )
  
      raster_settings.image_size = (10, 2047)
      fragments = rasterizer(
          self.meshes_world, raster_settings=raster_settings
      )
      self.assertEqual(
          fragments.pix_to_face.shape, torch.Size([1, 10, 2047, 1])
      )
  
      raster_settings.image_size = (2049, 512)
      with self.assertRaisesRegex(
          ValueError, "Max rasterization size is"
      ):
          rasterizer(self.meshes_world, raster_settings=raster_settings)
  
      raster_settings.image_size = (512, 2049)
      with self.assertRaisesRegex(
          ValueError, "Max rasterization size is"
      ):
          rasterizer(self.meshes_world, raster_settings=raster_settings)
  
      raster_settings.image_size = (2049, 2049)
      with self.assertRaisesRegex(
          ValueError, "Max rasterization size is"
      ):
          rasterizer(self.meshes_world, raster_settings=raster_settings)
  
imports: import unittest
  import numpy
  import torch
  from PIL import Image
  from pytorch3d.renderer import FoVOrthographicCameras, FoVPerspectiveCameras, look_at_view_transform, MeshRasterizer, OrthographicCameras, PerspectiveCameras, PointsRasterizationSettings, PointsRasterizer, RasterizationSettings
  from pytorch3d.renderer.fisheyecameras import FishEyeCameras
  from pytorch3d.renderer.opengl.rasterizer_opengl import _check_cameras, _check_raster_settings, _convert_meshes_to_gl_ndc, _parse_and_verify_image_size, MeshRasterizerOpenGL
  from pytorch3d.structures import Pointclouds
  from pytorch3d.structures.meshes import Meshes
  from pytorch3d.utils.ico_sphere import ico_sphere
  from .common_testing import get_tests_dir, TestCaseMixin
label_desc: Use image node_id 5 for calling the TestMeshRasterizerOpenGLUtils obj's underlying member method code with example usage: obj.test_parse_and_verify_image_size() without return types