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Nikhila Ravi
2020-08-26 22:27:07 -07:00
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</span></div></h2><div><span><p>Ask questions about the documentation and project</p>
</span></div></div></div><div class="blockElement threeByGridBlock"><div class="blockContent"><h2><div><span><p>Stay up to date</p>
</span></div></h2><div><span><p>Find out what's new with this project</p>
</span></div></div></div></div></div></div></div></div><footer class="nav-footer" id="footer"><section class="sitemap"><div class="footerSection"><div class="social"><a class="github-button" href="https://github.com/facebookresearch/pytorch3d" data-count-href="https://github.com/facebookresearch/pytorch3d/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star PyTorch3D on GitHub">pytorch3d</a></div></div></section><a href="https://opensource.facebook.com/" target="_blank" rel="noreferrer noopener" class="fbOpenSource"><img src="/img/oss_logo.png" alt="Facebook Open Source" width="170" height="45"/></a><section class="copyright">Copyright © 2020 Facebook Inc</section></footer></div></body></html>
</span></div></div></div></div></div></div></div></div><footer class="nav-footer" id="footer"><section class="sitemap"><div class="footerSection"><div class="social"><a class="github-button" href="https://github.com/facebookresearch/pytorch3d" data-count-href="https://github.com/facebookresearch/pytorch3d/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star PyTorch3D on GitHub">pytorch3d</a></div></div></section><a href="https://opensource.facebook.com/" target="_blank" rel="noreferrer noopener" class="fbOpenSource"><img src="/img/oss_logo.png" alt="Facebook Open Source" width="170" height="45"/></a><section class="copyright">Copyright © 2020 Facebook Inc<br/>Legal:<a href="https://opensource.facebook.com/legal/privacy/" target="_blank" rel="noreferrer noopener">Privacy</a><a href="https://opensource.facebook.com/legal/terms/" target="_blank" rel="noreferrer noopener">Terms</a></section></footer></div></body></html>

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</span></div></h2><div><span><p>Ask questions about the documentation and project</p>
</span></div></div></div><div class="blockElement threeByGridBlock"><div class="blockContent"><h2><div><span><p>Stay up to date</p>
</span></div></h2><div><span><p>Find out what's new with this project</p>
</span></div></div></div></div></div></div></div></div><footer class="nav-footer" id="footer"><section class="sitemap"><div class="footerSection"><div class="social"><a class="github-button" href="https://github.com/facebookresearch/pytorch3d" data-count-href="https://github.com/facebookresearch/pytorch3d/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star PyTorch3D on GitHub">pytorch3d</a></div></div></section><a href="https://opensource.facebook.com/" target="_blank" rel="noreferrer noopener" class="fbOpenSource"><img src="/img/oss_logo.png" alt="Facebook Open Source" width="170" height="45"/></a><section class="copyright">Copyright © 2020 Facebook Inc</section></footer></div></body></html>
</span></div></div></div></div></div></div></div></div><footer class="nav-footer" id="footer"><section class="sitemap"><div class="footerSection"><div class="social"><a class="github-button" href="https://github.com/facebookresearch/pytorch3d" data-count-href="https://github.com/facebookresearch/pytorch3d/stargazers" data-show-count="true" data-count-aria-label="# stargazers on GitHub" aria-label="Star PyTorch3D on GitHub">pytorch3d</a></div></div></section><a href="https://opensource.facebook.com/" target="_blank" rel="noreferrer noopener" class="fbOpenSource"><img src="/img/oss_logo.png" alt="Facebook Open Source" width="170" height="45"/></a><section class="copyright">Copyright © 2020 Facebook Inc<br/>Legal:<a href="https://opensource.facebook.com/legal/privacy/" target="_blank" rel="noreferrer noopener">Privacy</a><a href="https://opensource.facebook.com/legal/terms/" target="_blank" rel="noreferrer noopener">Terms</a></section></footer></div></body></html>

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</span></div></h2><div><span><p>Supports optimized implementations of several common functions for 3D data</p>
</span></div></div></div><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/rendering.svg"/></div><div class="blockContent"><h2><div><span><p>Differentiable Rendering</p>
</span></div></h2><div><span><p>Modular differentiable rendering API with parallel implementations in PyTorch, C++ and CUDA</p>
</span></div></div></div></div></div></div></div><div class="productShowcaseSection" id="quickstart" style="text-align:center"><h2>Get Started</h2><div class="container"><div class="wrapper"><ol><li><strong>Install PyTorch3D:</strong><div><span><pre><code class="hljs css language-bash">conda install pytorch torchvision -c pytorch <span class="hljs-comment"># OSX only</span>
conda install pytorch3d -c pytorch3d <span class="hljs-comment"># all systems</span>
</code></pre>
</span></div></li><li><strong>Try a few 3D operators </strong>e.g. compute the chamfer loss between two meshes:<div><span><pre><code class="hljs css language-python"><span class="hljs-keyword">from</span> pytorch3d.utils <span class="hljs-keyword">import</span> ico_sphere
</span></div></div></div></div></div></div></div><div class="productShowcaseSection" id="quickstart" style="text-align:center"><h2>Get Started</h2><div class="container"><div class="wrapper"><ol><li><strong>Install PyTorch3D </strong> (following the instructions <a href="https://github.com/facebookresearch/pytorch3d/blob/master/INSTALL.md">here</a>)</li><li><strong>Try a few 3D operators </strong>e.g. compute the chamfer loss between two meshes:<div><span><pre><code class="hljs css language-python"><span class="hljs-keyword">from</span> pytorch3d.utils <span class="hljs-keyword">import</span> ico_sphere
<span class="hljs-keyword">from</span> pytorch3d.io <span class="hljs-keyword">import</span> load_obj
<span class="hljs-keyword">from</span> pytorch3d.structures <span class="hljs-keyword">import</span> Meshes
<span class="hljs-keyword">from</span> pytorch3d.ops <span class="hljs-keyword">import</span> sample_points_from_meshes
@@ -31,4 +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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