renamed mesh_processor

MVs_Algorithms/DiffRastMesh/diff_mesh_renderer.py

@@ -9,7 +9,7 @@ import nvdiffrast.torch as dr
 
 from kiui.op import inverse_sigmoid
 
-from mesh_processer.mesh import safe_normalize
+from mesh_processor.mesh import safe_normalize
 
 def scale_img_nhwc(x, size, mag='bilinear', min='bilinear'):
     assert (x.shape[1] >= size[0] and x.shape[2] >= size[1]) or (x.shape[1] < size[0] and x.shape[2] < size[1]), "Trying to magnify image in one dimension and minify in the other"

MVs_Algorithms/FlexiCubes/flexicubes_trainer.py

@@ -13,7 +13,7 @@ from .util import SimpleMesh
 from .loss import sdf_reg_loss
 
 from shared_utils.camera_utils import OrbitCamera
-from mesh_processer.mesh import Mesh
+from mesh_processor.mesh import Mesh
 
 
 def lr_schedule(iter):

MVs_Algorithms/GaussianSplatting/main_3DGS_renderer.py

@@ -15,8 +15,8 @@ from kornia.geometry.conversions import (
 from kiui.op import inverse_sigmoid
 
 from shared_utils.sh_utils import eval_sh, SH2RGB, RGB2SH
-from mesh_processer.mesh import Mesh, PointCloud
-from mesh_processer.mesh_utils import construct_list_of_gs_attributes, write_gs_ply, read_gs_ply, K_nearest_neighbors_func
+from mesh_processor.mesh import Mesh, PointCloud
+from mesh_processor.mesh_utils import construct_list_of_gs_attributes, write_gs_ply, read_gs_ply, K_nearest_neighbors_func
 
 def get_expon_lr_func(
     lr_init, lr_final, lr_delay_steps=0, lr_delay_mult=1.0, max_steps=1000000