code: def overlay_smpl(img, verts, faces, cap):
      device = verts.device
      renderer = phong_renderer_from_pinhole_cam(
          cap.pinhole_cam, device=device
      )
      R = torch.from_numpy(cap.cam_pose.rotation_matrix[:3, :3].T)[
          None
      ].to(device)
      T = torch.from_numpy(cap.cam_pose.translation_vector)[None].to(
          device
      )
      mesh_col = torch.ones_like(verts)[None].to(device)
      mesh = Meshes(
          verts=[verts],
          faces=[faces],
          textures=TexturesVertex(verts_features=mesh_col),
      )
      silhouette = renderer(meshes_world=mesh, R=R, T=T)
      silhouette = torch.rot90(
          silhouette[0].cpu().detach(), k=2
      ).numpy()
      silhouette = Image.fromarray(np.uint8(silhouette * 255))
      bkg = Image.fromarray(
          np.concatenate(
              [img, np.ones_like(img[..., 0:1]) * 255], axis=-1
          )
      )
      overlay = Image.alpha_composite(bkg, silhouette)
      return np.array(overlay)[..., :3]
  
file_path: ml-neuman/utils/render_utils.py
imports: import random
  import numpy
  import torch
  import torch.nn.functional
  from pytorch3d.structures import Meshes
  from pytorch3d.renderer import RasterizationSettings, MeshRenderer, MeshRasterizer, HardPhongShader, PointLights, TexturesVertex, PerspectiveCameras
  from PIL import Image
  from cameras.camera_pose import CameraPose
  from utils import ray_utils
  from utils.constant import DEFAULT_GEO_THRESH
  from geometry import transformations
label_desc: Use image node_id 9 for calling a global function with example usage: overlay_smpl(img, verts, faces, cap) and returns: np