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Jeremy Francis Reizenstein
2022-03-04 03:53:49 -08:00
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@@ -6,7 +6,7 @@
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</script><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="/js/scrollSpy.js"></script><link rel="stylesheet" href="/css/main.css"/><script src="/js/codetabs.js"></script></head><body><div class="fixedHeaderContainer"><div class="headerWrapper wrapper"><header><a href="/"><img class="logo" src="/img/pytorch3dfavicon.png" alt="PyTorch3D"/><h2 class="headerTitleWithLogo">PyTorch3D</h2></a><div class="navigationWrapper navigationSlider"><nav class="slidingNav"><ul class="nav-site nav-site-internal"><li class=""><a href="/docs/why_pytorch3d" target="_self">Docs</a></li><li class=""><a href="/tutorials" target="_self">Tutorials</a></li><li class=""><a href="https://pytorch3d.readthedocs.io/" target="_self">API</a></li><li class=""><a href="https://github.com/facebookresearch/pytorch3d" target="_self">GitHub</a></li></ul></nav></div></header></div></div><div class="navPusher"><div><div class="homeContainer"><div class="homeSplashFade"><div class="wrapper homeWrapper"><div class="splashLogo"><img src="/img/pytorch3dlogowhite.svg" alt="Project Logo"/></div><div class="inner"><h2 class="projectTitle"><small>A library for deep learning with 3D data</small></h2><div class="section promoSection"><div class="promoRow"><div class="pluginRowBlock"><div class="pluginWrapper buttonWrapper"><a class="button" href="/docs/en/why_pytorch3d.html">Docs</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="/tutorials/">Tutorials</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="#quickstart">Get Started</a></div></div></div></div></div></div></div></div><div class="landingPage mainContainer"><div class="productShowcaseSection" style="text-align:center"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="gridBlock"><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/batching.svg"/></div><div class="blockContent"><h2><div><span><p>Heterogeneous Batching</p>
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</span></div></h2><div><span><p>Supports batching of 3D inputs of different sizes such as meshes</p>
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@@ -28,4 +28,4 @@ sample_sphere = sample_points_from_meshes(sphere_mesh, <span class="hljs-number"
sample_test = sample_points_from_meshes(test_mesh, <span class="hljs-number">5000</span>)
loss_chamfer, _ = chamfer_distance(sample_sphere, sample_test)
</code></pre>
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