pytorch3d.org valuation and analysis

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Title PyTorch3D · A library for deep learning with 3D
Description A library for deep learning with 3D
Keywords N/A
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WebSite pytorch3d faviconpytorch3d.org
Host IP 172.67.156.90
Location United States
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pytorch3d.org Valuation
US$5,746,836
Last updated: 2023-05-07 17:28:30

pytorch3d.org has Semrush global rank of 1,841,762. pytorch3d.org has an estimated worth of US$ 5,746,836, based on its estimated Ads revenue. pytorch3d.org receives approximately 663,097 unique visitors each day. Its web server is located in United States, with IP address 172.67.156.90. According to SiteAdvisor, pytorch3d.org is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$5,746,836
Daily Ads Revenue US$5,305
Monthly Ads Revenue US$159,144
Yearly Ads Revenue US$1,909,718
Daily Unique Visitors 44,207
Note: All traffic and earnings values are estimates.
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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],
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