读取OBJ 文件主要有以下几个步骤: 导入必要的库。 使用load_objs_as_meshes方法加载 OBJ 文件。 对模型进行可视化或其他操作。 代码示例 下面的代码展示了如何读取一个简单的 OBJ 文件并进行可视化。 importtorchfrompytorch3d.ioimportload_objs_as_meshesfrompytorch3d.rendererimportFoVPerspectiveCameras,MeshRenderer,...
这些obj的模型文件都可以通过pytorch3d来读取的。我们假设你已经下载好了上面的海豚3D文件,我们来read一下看看: """ using pytorch3d deform a source mesh to target mesh using 3D loss functions """ import os from pytorch3d.io import load_obj, save_obj from pytorch3d.structures import Meshes from py...
import torch import pytorch3d # 创建一个简单的点云并可视化(可选) from pytorch3d.io import load_obj from pytorch3d.renderer import ( look_at_view_transform, OpenGLPDRenderer, PointLights, RasterizationSettings, MeshRenderer, MeshRasterizer, TexturesVertex, ) # 加载一个OBJ文件(确保你有合适的文件路...
pytorch3d.io.obj_io.subset_obj() 是一个新函数,允许用户根据选定的面索引对 obj 网格进行子集化。 例如,如果工作流预测每个面的分类,则可以使用此函数仅针对这些面对网格进行子集化。 pytorch3d.io.obj_io.save_obj() 和 pytorch3d.io.obj_io.load_obj_as_meshes() 提供集成的多纹理 obj 支持,允许用户...
import os import torch from pytorch3d.io import load_obj, save_obj from pytorch3d.structures import Meshes from pytorch3d.utils import ico_sphere from pytorch3d.ops import sample_points_from_meshes from pytorch3d.loss import ( chamfer_distance, mesh_edge_loss, mesh_laplacian_smoothing, mesh_norm...
from pytorch3d.io import load_obj File "C:\ProgramData\Anaconda3\envs\pytorch3d\lib\site-packages\pytorch3d\io_init_.py", line 8, in from .obj_io import load_obj, load_objs_as_meshes, save_obj File "C:\ProgramData\Anaconda3\envs\pytorch3d\lib\site-packages\pytorch3d\io\obj_io.py...
at_view_transform, RasterizationSettings, MeshRenderer, MeshRasterizer, HardPhongShader, PointLights,)from pytorch3d.structures import Meshesfrom pytorch3d.io import load_obj# 1. 生成训练数据# 用PyTorch3D渲染一个球体作为示例数据verts, faces, aux = load_obj("sphere.obj") # 加载一...
Mesh loading - update toload_objto support loading textures as per face textures [following the approach from SoftRasterizer]. There is a new boolean argument called 'create_texture_atlasfor theload_obj` function to enable this |c9267ab ...
我们需要加载一个三维模型进行卷积操作。可以使用一个示例的 .obj 文件。 importtorchfrompytorch3d.ioimportload_objfrompytorch3d.opsimportmesh_faces_to_tris# 加载三维模型verts,faces,_=load_obj("path/to/your_model.obj")# 将面转为三角形,以便卷积操作可用tris=mesh_faces_to_tris(verts,faces.verts_idx...
importtorchfrompytorch3d.rendererimportFoVPerspectiveCameras,MeshRenderer,MeshRasterizer,SoftSilhouetteShaderfrompytorch3d.ioimportload_objs_as_meshesfrompytorch3d.structuresimportMeshes# 加载3D模型device=torch.device("cuda:0")mesh=load_objs_as_meshes(["path/to/your/model.obj"],device=device)# 设置摄像机...