content: # Hunyuan 3D is licensed under the TENCENT HUNYUAN NON-COMMERCIAL LICENSE AGREEMENT
  # except for the third-party components listed below.
  # Hunyuan 3D does not impose any additional limitations beyond what is outlined
  # in the repsective licenses of these third-party components.
  # Users must comply with all terms and conditions of original licenses of these third-party
  # components and must ensure that the usage of the third party components adheres to
  # all relevant laws and regulations.
  
  # For avoidance of doubts, Hunyuan 3D means the large language models and
  # their software and algorithms, including trained model weights, parameters (including
  # optimizer states), machine-learning model code, inference-enabling code, training-enabling code,
  # fine-tuning enabling code and other elements of the foregoing made publicly available
  # by Tencent in accordance with TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT.
  
  import cv2
  import numpy as np
  
  
  def LoadObj(fn):
      lines = [l.strip() for l in open(fn)]
      vertices = []
      faces = []
      for l in lines:
          words = [w for w in l.split(' ') if w != '']
          if len(words) == 0:
              continue
          if words[0] == 'v':
              v = [float(words[i]) for i in range(1, 4)]
              vertices.append(v)
          elif words[0] == 'f':
              f = [int(words[i]) - 1 for i in range(1, 4)]
              faces.append(f)
  
      return np.array(vertices).astype('float32'), np.array(faces).astype('int32')
  
  
  def LoadObjWithTexture(fn, tex_fn):
      lines = [l.strip() for l in open(fn)]
      vertices = []
      vertex_textures = []
      faces = []
      face_textures = []
      for l in lines:
          words = [w for w in l.split(' ') if w != '']
          if len(words) == 0:
              continue
          if words[0] == 'v':
              v = [float(words[i]) for i in range(1, len(words))]
              vertices.append(v)
          elif words[0] == 'vt':
              v = [float(words[i]) for i in range(1, len(words))]
              vertex_textures.append(v)
          elif words[0] == 'f':
              f = []
              ft = []
              for i in range(1, len(words)):
                  t = words[i].split('/')
                  f.append(int(t[0]) - 1)
                  ft.append(int(t[1]) - 1)
              for i in range(2, len(f)):
                  faces.append([f[0], f[i - 1], f[i]])
                  face_textures.append([ft[0], ft[i - 1], ft[i]])
  
      tex_image = cv2.cvtColor(cv2.imread(tex_fn), cv2.COLOR_BGR2RGB)
      return np.array(vertices).astype('float32'), np.array(vertex_textures).astype('float32'), np.array(faces).astype(
          'int32'), np.array(face_textures).astype('int32'), tex_image
  