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description=A library for deep learning with 3D data;

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3d, pytorch3d, library, for, deep, learning, with, data, heterogeneous, batching, fast, operators, differentiable, rendering, get, started,

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pytorch3d a library for deep learning with 3d data pytorch3d docs tutorials api github support ukraine help provide humanitarian aid to ukraine a library for deep learning with 3d data docs tutorials get started heterogeneous batching supports batching of 3d inputs of different sizes such as meshes fast 3d operators supports optimized implementations of several common functions for 3d data differentiable rendering modular differentiable rendering api with parallel implementations in pytorch c and cuda get started install pytorch3d following the instructions here try a few 3d operators e g compute the chamfer loss between two meshes from pytorch3d utils import ico_sphere from pytorch3d io import load_obj from pytorch3d structures import meshes from pytorch3d ops import sample_points_from_meshes from pytorch3d loss import chamfer_distance use an ico_sphere mesh and load a mesh from an obj e g model obj sphere_mesh ico_sphere level 3 verts faces _ load_obj model obj test_mesh meshes verts verts faces faces verts_idx differentiably sample 5k points from the surface of each mesh and then compute the loss sample_sphere sample_points_from_meshes sphere_mesh 5000 sample_test sample_points_from_meshes test_mesh 5000 loss_chamfer _ chamfer_distance sample_sphere sample_test pytorch3d copyright 2024 meta platforms inc legal privacy terms