问题描述
Deform a source mesh to form a target mesh using 3D loss functions
运行的代码：
# We read the target 3D model using load_obj
verts,faces,aux = load_obj(trg_obj)
# verts is a FloatTensor of shape (V,3) where V is the number of vertices in the mesh
# faces is an object which contains the following LongTensors: verts_idx,normals_idx and textures_idx
# For this tutorial,normals and textures are ignored.
faces_idx = faces.verts_idx.to(device)
verts = verts.to(device)
# We scale normalize and center the target mesh to fit in a sphere of radius 1 centered at (0,0).
# (scale,center) will be used to bring the predicted mesh to its original center and scale
# Note that normalizing the target mesh,speeds up the optimization but is not necessary!
center = verts.mean(0)
verts = verts - center
scale = max(verts.abs().max(0)[0])
verts = verts / scale
# We construct a Meshes structure for the target mesh
trg_mesh = Meshes(verts=[verts],faces=[faces_idx])
和我得到的错误： -------------------------------------------------- ------------------------- NameError回溯（最近通话最后一个） 在 （） 1＃我们读取使用load_obj目标3D模型 ----> 2绿党，面孔，AUX = load_obj（trg_obj） 3 4名＃绿党是形状的FloatTensor（V，3），其中V是在网格顶点的数量 5个＃面是包含以下LongTensors的对象：verts_idx，normals_idx和textures_idx
NameError: name 'load_obj' is not defined
解决方法
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