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PyTorch3D · A library for deep learning with 3D data
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A library for deep learning with 3D data
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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.ob...
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