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<h2><a class="anchor" aria-hidden="true" id="use-cases-for-batch-modes"></a><a href="#use-cases-for-batch-modes" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Use cases for batch modes</h2>
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<p>The need for different mesh batch modes is inherent to the way PyTorch operators are implemented. To fully utilize the optimized PyTorch ops, the <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/structures/meshes.py">Meshes</a> data structure allows for efficient conversion between the different batch modes. This is crucial when aiming for a fast and efficient training cycle. An example of this is <a href="https://github.com/facebookresearch/meshrcnn">Mesh R-CNN</a>. Here, in the same forward pass different parts of the network assume different inputs, which are computed by converting between the different batch modes. In particular, <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/vert_align.py">vert_align</a> assumes a <em>padded</em> input tensor while immediately after <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/graph_conv.py">graph_conv</a> assumes a <em>packed</em> input tensor.</p>
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<p><img src="assets/meshrcnn.png" alt="meshrcnn" width="700" align="middle" /></p>
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</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/datasets"><span class="arrow-prev">← </span><span>Data loaders</span></a><a class="docs-next button" href="/docs/cubify"><span>Cubify</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#batch-modes-for-meshes">Batch modes for meshes</a></li><li><a href="#use-cases-for-batch-modes">Use cases for batch modes</a></li></ul></nav></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 © 2022 Meta Platforms, 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></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/datasets"><span class="arrow-prev">← </span><span>Data loaders</span></a><a class="docs-next button" href="/docs/cubify"><span>Cubify</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#batch-modes-for-meshes">Batch modes for meshes</a></li><li><a href="#use-cases-for-batch-modes">Use cases for batch modes</a></li></ul></nav></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 © 2023 Meta Platforms, 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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@ -76,4 +76,4 @@
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<h2><a class="anchor" aria-hidden="true" id="use-cases-for-batch-modes"></a><a href="#use-cases-for-batch-modes" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Use cases for batch modes</h2>
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<p>The need for different mesh batch modes is inherent to the way PyTorch operators are implemented. To fully utilize the optimized PyTorch ops, the <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/structures/meshes.py">Meshes</a> data structure allows for efficient conversion between the different batch modes. This is crucial when aiming for a fast and efficient training cycle. An example of this is <a href="https://github.com/facebookresearch/meshrcnn">Mesh R-CNN</a>. Here, in the same forward pass different parts of the network assume different inputs, which are computed by converting between the different batch modes. In particular, <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/vert_align.py">vert_align</a> assumes a <em>padded</em> input tensor while immediately after <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/graph_conv.py">graph_conv</a> assumes a <em>packed</em> input tensor.</p>
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<p><img src="assets/meshrcnn.png" alt="meshrcnn" width="700" align="middle" /></p>
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</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/datasets"><span class="arrow-prev">← </span><span>Data loaders</span></a><a class="docs-next button" href="/docs/cubify"><span>Cubify</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#batch-modes-for-meshes">Batch modes for meshes</a></li><li><a href="#use-cases-for-batch-modes">Use cases for batch modes</a></li></ul></nav></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 © 2022 Meta Platforms, 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></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/datasets"><span class="arrow-prev">← </span><span>Data loaders</span></a><a class="docs-next button" href="/docs/cubify"><span>Cubify</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#batch-modes-for-meshes">Batch modes for meshes</a></li><li><a href="#use-cases-for-batch-modes">Use cases for batch modes</a></li></ul></nav></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 © 2023 Meta Platforms, 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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@ -125,7 +125,7 @@ cameras_ndc = PerspectiveCameras(focal_length=fcl_ndc, principal_point=prp_ndc)
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<span class="hljs-comment"># Screen space camera</span>
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image_size = ((<span class="hljs-number">128</span>, <span class="hljs-number">256</span>),) <span class="hljs-comment"># (h, w)</span>
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fcl_screen = (<span class="hljs-number">76.8</span>,) <span class="hljs-comment"># fcl_ndc * min(image_size) / 2</span>
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prp_screen = ((<span class="hljs-number">115.2</span>, <span class="hljs-number">48</span>), ) <span class="hljs-comment"># w / 2 - px_ndc * min(image_size) / 2, h / 2 - py_ndc * min(image_size) / 2</span>
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prp_screen = ((<span class="hljs-number">115.2</span>, <span class="hljs-number">32</span>), ) <span class="hljs-comment"># w / 2 - px_ndc * min(image_size) / 2, h / 2 - py_ndc * min(image_size) / 2</span>
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cameras_screen = PerspectiveCameras(focal_length=fcl_screen, principal_point=prp_screen, in_ndc=<span class="hljs-literal">False</span>, image_size=image_size)
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</code></pre>
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<p>The relationship between screen and NDC specifications of a camera's <code>focal_length</code> and <code>principal_point</code> is given by the following equations, where <code>s = min(image_width, image_height)</code>.
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@ -136,4 +136,4 @@ The transformation of x and y coordinates between screen and NDC is exactly the
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<span class="hljs-attr">px_ndc</span> = - (px_screen - image_width / <span class="hljs-number">2.0</span>) * <span class="hljs-number">2.0</span> / s
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<span class="hljs-attr">py_ndc</span> = - (py_screen - image_height / <span class="hljs-number">2.0</span>) * <span class="hljs-number">2.0</span> / s
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</code></pre>
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</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer_getting_started"><span class="arrow-prev">← </span><span>Getting Started</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#camera-coordinate-systems">Camera Coordinate Systems</a></li><li><a href="#defining-cameras-in-pytorch3d">Defining Cameras in PyTorch3D</a></li><li><a href="#interfacing-with-the-pytorch3d-renderer">Interfacing with the PyTorch3D Renderer</a><ul class="toc-headings"><li><a href="#camera-types">Camera Types</a></li></ul></li></ul></nav></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 © 2022 Meta Platforms, 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></article></div><div class="docLastUpdate"><em>Last updated by Xiao Xuan</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer_getting_started"><span class="arrow-prev">← </span><span>Getting Started</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#camera-coordinate-systems">Camera Coordinate Systems</a></li><li><a href="#defining-cameras-in-pytorch3d">Defining Cameras in PyTorch3D</a></li><li><a href="#interfacing-with-the-pytorch3d-renderer">Interfacing with the PyTorch3D Renderer</a><ul class="toc-headings"><li><a href="#camera-types">Camera Types</a></li></ul></li></ul></nav></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 © 2023 Meta Platforms, 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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@ -125,7 +125,7 @@ cameras_ndc = PerspectiveCameras(focal_length=fcl_ndc, principal_point=prp_ndc)
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<span class="hljs-comment"># Screen space camera</span>
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image_size = ((<span class="hljs-number">128</span>, <span class="hljs-number">256</span>),) <span class="hljs-comment"># (h, w)</span>
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fcl_screen = (<span class="hljs-number">76.8</span>,) <span class="hljs-comment"># fcl_ndc * min(image_size) / 2</span>
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prp_screen = ((<span class="hljs-number">115.2</span>, <span class="hljs-number">48</span>), ) <span class="hljs-comment"># w / 2 - px_ndc * min(image_size) / 2, h / 2 - py_ndc * min(image_size) / 2</span>
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prp_screen = ((<span class="hljs-number">115.2</span>, <span class="hljs-number">32</span>), ) <span class="hljs-comment"># w / 2 - px_ndc * min(image_size) / 2, h / 2 - py_ndc * min(image_size) / 2</span>
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cameras_screen = PerspectiveCameras(focal_length=fcl_screen, principal_point=prp_screen, in_ndc=<span class="hljs-literal">False</span>, image_size=image_size)
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</code></pre>
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<p>The relationship between screen and NDC specifications of a camera's <code>focal_length</code> and <code>principal_point</code> is given by the following equations, where <code>s = min(image_width, image_height)</code>.
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@ -136,4 +136,4 @@ The transformation of x and y coordinates between screen and NDC is exactly the
|
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<span class="hljs-attr">px_ndc</span> = - (px_screen - image_width / <span class="hljs-number">2.0</span>) * <span class="hljs-number">2.0</span> / s
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<span class="hljs-attr">py_ndc</span> = - (py_screen - image_height / <span class="hljs-number">2.0</span>) * <span class="hljs-number">2.0</span> / s
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</code></pre>
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</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer_getting_started"><span class="arrow-prev">← </span><span>Getting Started</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#camera-coordinate-systems">Camera Coordinate Systems</a></li><li><a href="#defining-cameras-in-pytorch3d">Defining Cameras in PyTorch3D</a></li><li><a href="#interfacing-with-the-pytorch3d-renderer">Interfacing with the PyTorch3D Renderer</a><ul class="toc-headings"><li><a href="#camera-types">Camera Types</a></li></ul></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Xiao Xuan</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer_getting_started"><span class="arrow-prev">← </span><span>Getting Started</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#camera-coordinate-systems">Camera Coordinate Systems</a></li><li><a href="#defining-cameras-in-pytorch3d">Defining Cameras in PyTorch3D</a></li><li><a href="#interfacing-with-the-pytorch3d-renderer">Interfacing with the PyTorch3D Renderer</a><ul class="toc-headings"><li><a href="#camera-types">Camera Types</a></li></ul></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -66,4 +66,4 @@
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<p>The <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/cubify.py">cubify operator</a> converts an 3D occupancy grid of shape <code>BxDxHxW</code>, where <code>B</code> is the batch size, into a mesh instantiated as a <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/structures/meshes.py">Meshes</a> data structure of <code>B</code> elements. The operator replaces every occupied voxel (if its occupancy probability is greater than a user defined threshold) with a cuboid of 12 faces and 8 vertices. Shared vertices are merged, and internal faces are removed resulting in a <strong>watertight</strong> mesh.</p>
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<p>The operator provides three alignment modes {<em>topleft</em>, <em>corner</em>, <em>center</em>} which define the span of the mesh vertices with respect to the voxel grid. The alignment modes are described in the figure below for a 2D grid.</p>
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<p><img src="https://user-images.githubusercontent.com/4369065/81032959-af697380-8e46-11ea-91a8-fae89597f988.png" alt="input"></p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/batching"><span class="arrow-prev">← </span><span>Batching</span></a><a class="docs-next button" href="/docs/iou3d"><span class="function-name-prevnext">IoU3D</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/batching"><span class="arrow-prev">← </span><span>Batching</span></a><a class="docs-next button" href="/docs/iou3d"><span class="function-name-prevnext">IoU3D</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -66,4 +66,4 @@
|
||||
<p>The <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/cubify.py">cubify operator</a> converts an 3D occupancy grid of shape <code>BxDxHxW</code>, where <code>B</code> is the batch size, into a mesh instantiated as a <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/structures/meshes.py">Meshes</a> data structure of <code>B</code> elements. The operator replaces every occupied voxel (if its occupancy probability is greater than a user defined threshold) with a cuboid of 12 faces and 8 vertices. Shared vertices are merged, and internal faces are removed resulting in a <strong>watertight</strong> mesh.</p>
|
||||
<p>The operator provides three alignment modes {<em>topleft</em>, <em>corner</em>, <em>center</em>} which define the span of the mesh vertices with respect to the voxel grid. The alignment modes are described in the figure below for a 2D grid.</p>
|
||||
<p><img src="https://user-images.githubusercontent.com/4369065/81032959-af697380-8e46-11ea-91a8-fae89597f988.png" alt="input"></p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/batching"><span class="arrow-prev">← </span><span>Batching</span></a><a class="docs-next button" href="/docs/iou3d"><span class="function-name-prevnext">IoU3D</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/batching"><span class="arrow-prev">← </span><span>Batching</span></a><a class="docs-next button" href="/docs/iou3d"><span class="function-name-prevnext">IoU3D</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -70,4 +70,4 @@
|
||||
<h3><a class="anchor" aria-hidden="true" id="r2n2"></a><a href="#r2n2" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>R2N2</h3>
|
||||
<p>The R2N2 dataset contains 13 categories that are a subset of the ShapeNetCore v.1 dataset. The R2N2 dataset also contains its own 24 renderings of each object and voxelized models. The R2N2 Dataset can be downloaded following the instructions <a href="http://3d-r2n2.stanford.edu/">here</a>.</p>
|
||||
<p>The PyTorch3D <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/datasets/r2n2/r2n2.py">R2N2 data loader</a> is initialized with the paths to the ShapeNet dataset, the R2N2 dataset and the splits file for R2N2. Just like <code>ShapeNetCore</code>, it can be passed to <code>torch.utils.data.DataLoader</code> with a customized collate_fn: <code>collate_batched_R2N2</code> from the <code>pytorch3d.dataset.r2n2.utils</code> module. It returns all the data that <code>ShapeNetCore</code> returns, and in addition, it returns the R2N2 renderings (24 views for each model) along with the camera calibration matrices and a voxel representation for each model. Similar to <code>ShapeNetCore</code>, it has a customized <code>render</code> function that supports rendering specified models with the PyTorch3D differentiable renderer. In addition, it supports rendering models with the same orientations as R2N2's original renderings.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/meshes_io"><span class="arrow-prev">← </span><span>Loading from file</span></a><a class="docs-next button" href="/docs/batching"><span>Batching</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/meshes_io"><span class="arrow-prev">← </span><span>Loading from file</span></a><a class="docs-next button" href="/docs/batching"><span>Batching</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -70,4 +70,4 @@
|
||||
<h3><a class="anchor" aria-hidden="true" id="r2n2"></a><a href="#r2n2" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>R2N2</h3>
|
||||
<p>The R2N2 dataset contains 13 categories that are a subset of the ShapeNetCore v.1 dataset. The R2N2 dataset also contains its own 24 renderings of each object and voxelized models. The R2N2 Dataset can be downloaded following the instructions <a href="http://3d-r2n2.stanford.edu/">here</a>.</p>
|
||||
<p>The PyTorch3D <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/datasets/r2n2/r2n2.py">R2N2 data loader</a> is initialized with the paths to the ShapeNet dataset, the R2N2 dataset and the splits file for R2N2. Just like <code>ShapeNetCore</code>, it can be passed to <code>torch.utils.data.DataLoader</code> with a customized collate_fn: <code>collate_batched_R2N2</code> from the <code>pytorch3d.dataset.r2n2.utils</code> module. It returns all the data that <code>ShapeNetCore</code> returns, and in addition, it returns the R2N2 renderings (24 views for each model) along with the camera calibration matrices and a voxel representation for each model. Similar to <code>ShapeNetCore</code>, it has a customized <code>render</code> function that supports rendering specified models with the PyTorch3D differentiable renderer. In addition, it supports rendering models with the same orientations as R2N2's original renderings.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/meshes_io"><span class="arrow-prev">← </span><span>Loading from file</span></a><a class="docs-next button" href="/docs/batching"><span>Batching</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/meshes_io"><span class="arrow-prev">← </span><span>Loading from file</span></a><a class="docs-next button" href="/docs/batching"><span>Batching</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
10
docs/io.html
10
docs/io.html
@ -65,16 +65,16 @@
|
||||
</script></nav></div><div class="container mainContainer docsContainer"><div class="wrapper"><div class="post"><header class="postHeader"></header><article><div><span><h1><a class="anchor" aria-hidden="true" id="file-io"></a><a href="#file-io" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>File IO</h1>
|
||||
<p>There is a flexible interface for loading and saving point clouds and meshes from different formats.</p>
|
||||
<p>The main usage is via the <code>pytorch3d.io.IO</code> object, and its methods
|
||||
<code>load_mesh</code>, <code>save_mesh</code>, <code>load_point_cloud</code> and <code>save_point_cloud</code>.</p>
|
||||
<code>load_mesh</code>, <code>save_mesh</code>, <code>load_pointcloud</code> and <code>save_pointcloud</code>.</p>
|
||||
<p>For example, to load a mesh you might do</p>
|
||||
<pre><code class="hljs">from pytorch3d.io import IO
|
||||
|
||||
device=torch.device(<span class="hljs-string">"cuda:0"</span>)
|
||||
mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-constructor">_mesh(<span class="hljs-string">"mymesh.ply"</span>, <span class="hljs-params">device</span>=<span class="hljs-params">device</span>)</span>
|
||||
mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-constructor">_mesh(<span class="hljs-string">"mymesh.obj"</span>, <span class="hljs-params">device</span>=<span class="hljs-params">device</span>)</span>
|
||||
</code></pre>
|
||||
<p>and to save a pointcloud you might do</p>
|
||||
<pre><code class="hljs">pcl = <span class="hljs-constructor">Pointclouds(<span class="hljs-operator">...</span>)</span>
|
||||
<span class="hljs-constructor">IO()</span>.save<span class="hljs-constructor">_point_cloud(<span class="hljs-params">pcl</span>, <span class="hljs-string">"output_pointcloud.obj"</span>)</span>
|
||||
<span class="hljs-constructor">IO()</span>.save<span class="hljs-constructor">_pointcloud(<span class="hljs-params">pcl</span>, <span class="hljs-string">"output_pointcloud.ply"</span>)</span>
|
||||
</code></pre>
|
||||
<p>For meshes, this supports OBJ, PLY and OFF files.</p>
|
||||
<p>For pointclouds, this supports PLY files.</p>
|
||||
@ -82,5 +82,5 @@ mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-construc
|
||||
<a href="https://github.com/KhronosGroup/glTF/tree/master/specification/2.0">glTF 2 assets</a>
|
||||
stored either in a GLB container file or a glTF JSON file with embedded binary data.
|
||||
This must be enabled explicitly, as described in
|
||||
<code>pytorch3d/io/experimental_gltf_io.ply</code>.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/why_pytorch3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">Why PyTorch3D</span></a><a class="docs-next button" href="/docs/meshes_io"><span>Loading from file</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
<code>pytorch3d/io/experimental_gltf_io.py</code>.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/why_pytorch3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">Why PyTorch3D</span></a><a class="docs-next button" href="/docs/meshes_io"><span>Loading from file</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -65,16 +65,16 @@
|
||||
</script></nav></div><div class="container mainContainer docsContainer"><div class="wrapper"><div class="post"><header class="postHeader"></header><article><div><span><h1><a class="anchor" aria-hidden="true" id="file-io"></a><a href="#file-io" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>File IO</h1>
|
||||
<p>There is a flexible interface for loading and saving point clouds and meshes from different formats.</p>
|
||||
<p>The main usage is via the <code>pytorch3d.io.IO</code> object, and its methods
|
||||
<code>load_mesh</code>, <code>save_mesh</code>, <code>load_point_cloud</code> and <code>save_point_cloud</code>.</p>
|
||||
<code>load_mesh</code>, <code>save_mesh</code>, <code>load_pointcloud</code> and <code>save_pointcloud</code>.</p>
|
||||
<p>For example, to load a mesh you might do</p>
|
||||
<pre><code class="hljs">from pytorch3d.io import IO
|
||||
|
||||
device=torch.device(<span class="hljs-string">"cuda:0"</span>)
|
||||
mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-constructor">_mesh(<span class="hljs-string">"mymesh.ply"</span>, <span class="hljs-params">device</span>=<span class="hljs-params">device</span>)</span>
|
||||
mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-constructor">_mesh(<span class="hljs-string">"mymesh.obj"</span>, <span class="hljs-params">device</span>=<span class="hljs-params">device</span>)</span>
|
||||
</code></pre>
|
||||
<p>and to save a pointcloud you might do</p>
|
||||
<pre><code class="hljs">pcl = <span class="hljs-constructor">Pointclouds(<span class="hljs-operator">...</span>)</span>
|
||||
<span class="hljs-constructor">IO()</span>.save<span class="hljs-constructor">_point_cloud(<span class="hljs-params">pcl</span>, <span class="hljs-string">"output_pointcloud.obj"</span>)</span>
|
||||
<span class="hljs-constructor">IO()</span>.save<span class="hljs-constructor">_pointcloud(<span class="hljs-params">pcl</span>, <span class="hljs-string">"output_pointcloud.ply"</span>)</span>
|
||||
</code></pre>
|
||||
<p>For meshes, this supports OBJ, PLY and OFF files.</p>
|
||||
<p>For pointclouds, this supports PLY files.</p>
|
||||
@ -82,5 +82,5 @@ mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-construc
|
||||
<a href="https://github.com/KhronosGroup/glTF/tree/master/specification/2.0">glTF 2 assets</a>
|
||||
stored either in a GLB container file or a glTF JSON file with embedded binary data.
|
||||
This must be enabled explicitly, as described in
|
||||
<code>pytorch3d/io/experimental_gltf_io.ply</code>.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/why_pytorch3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">Why PyTorch3D</span></a><a class="docs-next button" href="/docs/meshes_io"><span>Loading from file</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
<code>pytorch3d/io/experimental_gltf_io.py</code>.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/why_pytorch3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">Why PyTorch3D</span></a><a class="docs-next button" href="/docs/meshes_io"><span>Loading from file</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overlap(boxes1, boxes2)
|
||||
year = {<span class="hljs-number">2020</span>},
|
||||
}
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Ji Hou</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/cubify"><span class="arrow-prev">← </span><span>Cubify</span></a><a class="docs-next button" href="/docs/visualization"><span>Plotly Visualization</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#description">Description</a></li><li><a href="#comparison-with-other-algorithms">Comparison With Other Algorithms</a></li><li><a href="#usage-and-code">Usage and Code</a></li><li><a href="#cite">Cite</a></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Ji Hou</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/cubify"><span class="arrow-prev">← </span><span>Cubify</span></a><a class="docs-next button" href="/docs/visualization"><span>Plotly Visualization</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#description">Description</a></li><li><a href="#comparison-with-other-algorithms">Comparison With Other Algorithms</a></li><li><a href="#usage-and-code">Usage and Code</a></li><li><a href="#cite">Cite</a></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overlap(boxes1, boxes2)
|
||||
year = {<span class="hljs-number">2020</span>},
|
||||
}
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Ji Hou</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/cubify"><span class="arrow-prev">← </span><span>Cubify</span></a><a class="docs-next button" href="/docs/visualization"><span>Plotly Visualization</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#description">Description</a></li><li><a href="#comparison-with-other-algorithms">Comparison With Other Algorithms</a></li><li><a href="#usage-and-code">Usage and Code</a></li><li><a href="#cite">Cite</a></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Ji Hou</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/cubify"><span class="arrow-prev">← </span><span>Cubify</span></a><a class="docs-next button" href="/docs/visualization"><span>Plotly Visualization</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#description">Description</a></li><li><a href="#comparison-with-other-algorithms">Comparison With Other Algorithms</a></li><li><a href="#usage-and-code">Usage and Code</a></li><li><a href="#cite">Cite</a></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -116,4 +116,4 @@ are not triangles will be split into triangles. A Meshes object containing a
|
||||
single mesh can be created from this data using</p>
|
||||
<pre><code class="hljs"> meshes = <span class="hljs-constructor">Meshes(<span class="hljs-params">verts</span>=[<span class="hljs-params">verts</span>], <span class="hljs-params">faces</span>=[<span class="hljs-params">faces</span>])</span>
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/io"><span class="arrow-prev">← </span><span>File IO</span></a><a class="docs-next button" href="/docs/datasets"><span>Data loaders</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#obj">OBJ</a></li><li><a href="#ply">PLY</a></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/io"><span class="arrow-prev">← </span><span>File IO</span></a><a class="docs-next button" href="/docs/datasets"><span>Data loaders</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#obj">OBJ</a></li><li><a href="#ply">PLY</a></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -116,4 +116,4 @@ are not triangles will be split into triangles. A Meshes object containing a
|
||||
single mesh can be created from this data using</p>
|
||||
<pre><code class="hljs"> meshes = <span class="hljs-constructor">Meshes(<span class="hljs-params">verts</span>=[<span class="hljs-params">verts</span>], <span class="hljs-params">faces</span>=[<span class="hljs-params">faces</span>])</span>
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/io"><span class="arrow-prev">← </span><span>File IO</span></a><a class="docs-next button" href="/docs/datasets"><span>Data loaders</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#obj">OBJ</a></li><li><a href="#ply">PLY</a></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/io"><span class="arrow-prev">← </span><span>File IO</span></a><a class="docs-next button" href="/docs/datasets"><span>Data loaders</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#obj">OBJ</a></li><li><a href="#ply">PLY</a></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -109,4 +109,4 @@ total_memory = memory_forward_pass + memory_backward_pass
|
||||
<p><a id="6">[6]</a> Yifan et al, 'Differentiable Surface Splatting for Point-based Geometry Processing', SIGGRAPH Asia 2019</p>
|
||||
<p><a id="7">[7]</a> Loubet et al, 'Reparameterizing Discontinuous Integrands for Differentiable Rendering', SIGGRAPH Asia 2019</p>
|
||||
<p><a id="8">[8]</a> Chen et al, 'Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer', NeurIPS 2019</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Krzysztof Chalupka</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/visualization"><span class="arrow-prev">← </span><span>Plotly Visualization</span></a><a class="docs-next button" href="/docs/renderer_getting_started"><span>Getting Started</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#uget-startedu"><u>Get started</u></a></li><li><a href="#utech-reportu"><u>Tech Report</u></a><ul class="toc-headings"><li><a href="#references">References</a></li></ul></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Krzysztof Chalupka</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/visualization"><span class="arrow-prev">← </span><span>Plotly Visualization</span></a><a class="docs-next button" href="/docs/renderer_getting_started"><span>Getting Started</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#uget-startedu"><u>Get started</u></a></li><li><a href="#utech-reportu"><u>Tech Report</u></a><ul class="toc-headings"><li><a href="#references">References</a></li></ul></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -109,4 +109,4 @@ total_memory = memory_forward_pass + memory_backward_pass
|
||||
<p><a id="6">[6]</a> Yifan et al, 'Differentiable Surface Splatting for Point-based Geometry Processing', SIGGRAPH Asia 2019</p>
|
||||
<p><a id="7">[7]</a> Loubet et al, 'Reparameterizing Discontinuous Integrands for Differentiable Rendering', SIGGRAPH Asia 2019</p>
|
||||
<p><a id="8">[8]</a> Chen et al, 'Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer', NeurIPS 2019</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Krzysztof Chalupka</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/visualization"><span class="arrow-prev">← </span><span>Plotly Visualization</span></a><a class="docs-next button" href="/docs/renderer_getting_started"><span>Getting Started</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#uget-startedu"><u>Get started</u></a></li><li><a href="#utech-reportu"><u>Tech Report</u></a><ul class="toc-headings"><li><a href="#references">References</a></li></ul></li></ul></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Krzysztof Chalupka</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/visualization"><span class="arrow-prev">← </span><span>Plotly Visualization</span></a><a class="docs-next button" href="/docs/renderer_getting_started"><span>Getting Started</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#uget-startedu"><u>Get started</u></a></li><li><a href="#utech-reportu"><u>Tech Report</u></a><ul class="toc-headings"><li><a href="#references">References</a></li></ul></li></ul></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -168,4 +168,4 @@ renderer = MeshRenderer(
|
||||
<tr><td>SoftSilhouetteShader</td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center">✔️</td></tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer"><span class="arrow-prev">← </span><span>Overview</span></a><a class="docs-next button" href="/docs/cameras"><span>Cameras</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer"><span class="arrow-prev">← </span><span>Overview</span></a><a class="docs-next button" href="/docs/cameras"><span>Cameras</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -168,4 +168,4 @@ renderer = MeshRenderer(
|
||||
<tr><td>SoftSilhouetteShader</td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center"></td><td style="text-align:center">✔️</td></tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer"><span class="arrow-prev">← </span><span>Overview</span></a><a class="docs-next button" href="/docs/cameras"><span>Cameras</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Jeremy Reizenstein</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/renderer"><span class="arrow-prev">← </span><span>Overview</span></a><a class="docs-next button" href="/docs/cameras"><span>Cameras</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -75,4 +75,4 @@
|
||||
<pre><code class="hljs"><span class="hljs-attribute">fig</span> = ...
|
||||
fig.write_image(<span class="hljs-string">"image_name.png"</span>)
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Alex Naumann</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/iou3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">IoU3D</span></a><a class="docs-next button" href="/docs/renderer"><span>Overview</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Alex Naumann</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/iou3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">IoU3D</span></a><a class="docs-next button" href="/docs/renderer"><span>Overview</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -75,4 +75,4 @@
|
||||
<pre><code class="hljs"><span class="hljs-attribute">fig</span> = ...
|
||||
fig.write_image(<span class="hljs-string">"image_name.png"</span>)
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Alex Naumann</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/iou3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">IoU3D</span></a><a class="docs-next button" href="/docs/renderer"><span>Overview</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Alex Naumann</em></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/iou3d"><span class="arrow-prev">← </span><span class="function-name-prevnext">IoU3D</span></a><a class="docs-next button" href="/docs/renderer"><span>Overview</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -65,4 +65,4 @@
|
||||
</script></nav></div><div class="container mainContainer docsContainer"><div class="wrapper"><div class="post"><header class="postHeader"></header><article><div><span><h1><a class="anchor" aria-hidden="true" id="why-pytorch3d"></a><a href="#why-pytorch3d" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Why PyTorch3D</h1>
|
||||
<p>Our goal with PyTorch3D is to help accelerate research at the intersection of deep learning and 3D. 3D data is more complex than 2D images and while working on projects such as <a href="https://github.com/facebookresearch/meshrcnn">Mesh R-CNN</a> and <a href="https://github.com/facebookresearch/c3dpo_nrsfm">C3DPO</a>, we encountered several challenges including 3D data representation, batching, and speed. We have developed many useful operators and abstractions for working on 3D deep learning and want to share this with the community to drive novel research in this area.</p>
|
||||
<p>In PyTorch3D we have included efficient 3D operators, heterogeneous batching capabilities, and a modular differentiable rendering API, to equip researchers in this field with a much needed toolkit to implement cutting-edge research with complex 3D inputs.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Patrick Labatut</em></div><div class="docs-prevnext"><a class="docs-next button" href="/docs/io"><span>File IO</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Patrick Labatut</em></div><div class="docs-prevnext"><a class="docs-next button" href="/docs/io"><span>File IO</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -65,4 +65,4 @@
|
||||
</script></nav></div><div class="container mainContainer docsContainer"><div class="wrapper"><div class="post"><header class="postHeader"></header><article><div><span><h1><a class="anchor" aria-hidden="true" id="why-pytorch3d"></a><a href="#why-pytorch3d" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Why PyTorch3D</h1>
|
||||
<p>Our goal with PyTorch3D is to help accelerate research at the intersection of deep learning and 3D. 3D data is more complex than 2D images and while working on projects such as <a href="https://github.com/facebookresearch/meshrcnn">Mesh R-CNN</a> and <a href="https://github.com/facebookresearch/c3dpo_nrsfm">C3DPO</a>, we encountered several challenges including 3D data representation, batching, and speed. We have developed many useful operators and abstractions for working on 3D deep learning and want to share this with the community to drive novel research in this area.</p>
|
||||
<p>In PyTorch3D we have included efficient 3D operators, heterogeneous batching capabilities, and a modular differentiable rendering API, to equip researchers in this field with a much needed toolkit to implement cutting-edge research with complex 3D inputs.</p>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Patrick Labatut</em></div><div class="docs-prevnext"><a class="docs-next button" href="/docs/io"><span>File IO</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Patrick Labatut</em></div><div class="docs-prevnext"><a class="docs-next button" href="/docs/io"><span>File IO</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></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 © 2023 Meta Platforms, 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>
|
||||
@ -12,4 +12,4 @@
|
||||
</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 © 2022 Meta Platforms, 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></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 © 2023 Meta Platforms, 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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||||
@ -12,4 +12,4 @@
|
||||
</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>
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</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 © 2022 Meta Platforms, 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></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 © 2023 Meta Platforms, 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>
|
||||
@ -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>
|
||||
</span></div></li></ol></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></li></ol></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 © 2023 Meta Platforms, 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>
|
||||
@ -6,4 +6,4 @@
|
||||
|
||||
ga('create', 'UA-157376881-1', 'auto');
|
||||
ga('send', 'pageview');
|
||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2022 Meta Platforms, 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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</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2023 Meta Platforms, 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>
|
||||
@ -6,4 +6,4 @@
|
||||
|
||||
ga('create', 'UA-157376881-1', 'auto');
|
||||
ga('send', 'pageview');
|
||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2022 Meta Platforms, 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>
|
||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2023 Meta Platforms, 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>
|
||||
@ -89,7 +89,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -101,9 +101,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -49,7 +49,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -61,9 +61,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -76,7 +76,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -88,9 +88,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -36,7 +36,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -48,9 +48,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -51,7 +51,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -63,9 +63,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -31,7 +31,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -43,9 +43,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -90,7 +90,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -102,9 +102,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
@ -192,7 +189,7 @@
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Load the dolphin mesh.\n",
|
||||
"trg_obj = os.path.join('dolphin.obj')"
|
||||
"trg_obj = 'dolphin.obj'"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -247,7 +244,7 @@
|
||||
"id": "dYWDl4VGWHRK"
|
||||
},
|
||||
"source": [
|
||||
"### Visualize the source and target meshes"
|
||||
"## 2. Visualize the source and target meshes"
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -485,7 +482,7 @@
|
||||
"final_verts = final_verts * scale + center\n",
|
||||
"\n",
|
||||
"# Store the predicted mesh using save_obj\n",
|
||||
"final_obj = os.path.join('./', 'final_model.obj')\n",
|
||||
"final_obj = 'final_model.obj'\n",
|
||||
"save_obj(final_obj, final_verts, final_faces)"
|
||||
]
|
||||
},
|
||||
|
||||
@ -48,7 +48,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -60,9 +60,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
@ -112,7 +109,7 @@ get_ipython().system('wget https://dl.fbaipublicfiles.com/pytorch3d/data/dolphin
|
||||
|
||||
|
||||
# Load the dolphin mesh.
|
||||
trg_obj = os.path.join('dolphin.obj')
|
||||
trg_obj = 'dolphin.obj'
|
||||
|
||||
|
||||
# In[ ]:
|
||||
@ -146,7 +143,7 @@ trg_mesh = Meshes(verts=[verts], faces=[faces_idx])
|
||||
src_mesh = ico_sphere(4, device)
|
||||
|
||||
|
||||
# ### Visualize the source and target meshes
|
||||
# ## 2. Visualize the source and target meshes
|
||||
|
||||
# In[ ]:
|
||||
|
||||
@ -288,7 +285,7 @@ final_verts, final_faces = new_src_mesh.get_mesh_verts_faces(0)
|
||||
final_verts = final_verts * scale + center
|
||||
|
||||
# Store the predicted mesh using save_obj
|
||||
final_obj = os.path.join('./', 'final_model.obj')
|
||||
final_obj = 'final_model.obj'
|
||||
save_obj(final_obj, final_verts, final_faces)
|
||||
|
||||
|
||||
|
||||
@ -56,7 +56,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -68,9 +68,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -42,7 +42,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -54,9 +54,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -68,7 +68,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -80,9 +80,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -31,7 +31,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -43,9 +43,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -47,7 +47,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -59,9 +59,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -32,7 +32,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -44,9 +44,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -78,7 +78,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -90,9 +90,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -35,7 +35,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -47,9 +47,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -72,7 +72,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -84,9 +84,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -30,7 +30,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -42,9 +42,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -50,7 +50,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -62,9 +62,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -30,7 +30,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -42,9 +42,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -57,7 +57,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -69,9 +69,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -34,7 +34,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -46,9 +46,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -73,7 +73,7 @@
|
||||
"except ModuleNotFoundError:\n",
|
||||
" need_pytorch3d=True\n",
|
||||
"if need_pytorch3d:\n",
|
||||
" if torch.__version__.startswith(\"1.13.\") and sys.platform.startswith(\"linux\"):\n",
|
||||
" if torch.__version__.startswith((\"1.13.\", \"2.0.\")) and sys.platform.startswith(\"linux\"):\n",
|
||||
" # We try to install PyTorch3D via a released wheel.\n",
|
||||
" pyt_version_str=torch.__version__.split(\"+\")[0].replace(\".\", \"\")\n",
|
||||
" version_str=\"\".join([\n",
|
||||
@ -85,9 +85,6 @@
|
||||
" !pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" else:\n",
|
||||
" # We try to install PyTorch3D from source.\n",
|
||||
" !curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz\n",
|
||||
" !tar xzf 1.10.0.tar.gz\n",
|
||||
" os.environ[\"CUB_HOME\"] = os.getcwd() + \"/cub-1.10.0\"\n",
|
||||
" !pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'"
|
||||
]
|
||||
},
|
||||
|
||||
@ -32,7 +32,7 @@ try:
|
||||
except ModuleNotFoundError:
|
||||
need_pytorch3d=True
|
||||
if need_pytorch3d:
|
||||
if torch.__version__.startswith("1.13.") and sys.platform.startswith("linux"):
|
||||
if torch.__version__.startswith(("1.13.", "2.0.")) and sys.platform.startswith("linux"):
|
||||
# We try to install PyTorch3D via a released wheel.
|
||||
pyt_version_str=torch.__version__.split("+")[0].replace(".", "")
|
||||
version_str="".join([
|
||||
@ -44,9 +44,6 @@ if need_pytorch3d:
|
||||
get_ipython().system('pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
else:
|
||||
# We try to install PyTorch3D from source.
|
||||
get_ipython().system('curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz')
|
||||
get_ipython().system('tar xzf 1.10.0.tar.gz')
|
||||
os.environ["CUB_HOME"] = os.getcwd() + "/cub-1.10.0"
|
||||
get_ipython().system("pip install 'git+https://github.com/facebookresearch/pytorch3d.git@stable'")
|
||||
|
||||
|
||||
|
||||
@ -12,4 +12,4 @@
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -12,4 +12,4 @@
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -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>
|
||||
</span></div></li></ol></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 © 2022 Meta Platforms, 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>
|
||||
</span></div></li></ol></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 © 2023 Meta Platforms, 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>
|
||||
@ -1 +1 @@
|
||||
<?xml version="1.0" encoding="UTF-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml" xmlns:mobile="http://www.google.com/schemas/sitemap-mobile/1.0" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xmlns:video="http://www.google.com/schemas/sitemap-video/1.1"><url><loc>https://pytorch3d.org/help</loc><changefreq>weekly</changefreq><priority>0.5</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/en/help"/></url><url><loc>https://pytorch3d.org/index</loc><changefreq>weekly</changefreq><priority>0.5</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/en/index"/></url><url><loc>https://pytorch3d.org/users</loc><changefreq>weekly</changefreq><priority>0.5</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/en/users"/></url><url><loc>https://pytorch3d.org/docs/batching</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/batching"/></url><url><loc>https://pytorch3d.org/docs/cameras</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/cameras"/></url><url><loc>https://pytorch3d.org/docs/cubify</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/cubify"/></url><url><loc>https://pytorch3d.org/docs/datasets</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/datasets"/></url><url><loc>https://pytorch3d.org/docs/io</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/io"/></url><url><loc>https://pytorch3d.org/docs/iou3d</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/iou3d"/></url><url><loc>https://pytorch3d.org/docs/meshes_io</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/meshes_io"/></url><url><loc>https://pytorch3d.org/docs/renderer_getting_started</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/renderer_getting_started"/></url><url><loc>https://pytorch3d.org/docs/renderer</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/renderer"/></url><url><loc>https://pytorch3d.org/docs/visualization</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/visualization"/></url><url><loc>https://pytorch3d.org/docs/why_pytorch3d</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/why_pytorch3d"/></url></urlset>
|
||||
<?xml version="1.0" encoding="UTF-8"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9" xmlns:news="http://www.google.com/schemas/sitemap-news/0.9" xmlns:xhtml="http://www.w3.org/1999/xhtml" xmlns:mobile="http://www.google.com/schemas/sitemap-mobile/1.0" xmlns:image="http://www.google.com/schemas/sitemap-image/1.1" xmlns:video="http://www.google.com/schemas/sitemap-video/1.1"><url><loc>https://pytorch3d.org/help</loc><changefreq>weekly</changefreq><priority>0.5</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/en/help"/></url><url><loc>https://pytorch3d.org/index</loc><changefreq>weekly</changefreq><priority>0.5</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/en/index"/></url><url><loc>https://pytorch3d.org/users</loc><changefreq>weekly</changefreq><priority>0.5</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/en/users"/></url><url><loc>https://pytorch3d.org/docs/batching</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/batching"/></url><url><loc>https://pytorch3d.org/docs/cameras</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/cameras"/></url><url><loc>https://pytorch3d.org/docs/cubify</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/cubify"/></url><url><loc>https://pytorch3d.org/docs/datasets</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/datasets"/></url><url><loc>https://pytorch3d.org/docs/io</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/io"/></url><url><loc>https://pytorch3d.org/docs/iou3d</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/iou3d"/></url><url><loc>https://pytorch3d.org/docs/meshes_io</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/meshes_io"/></url><url><loc>https://pytorch3d.org/docs/renderer</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/renderer"/></url><url><loc>https://pytorch3d.org/docs/renderer_getting_started</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/renderer_getting_started"/></url><url><loc>https://pytorch3d.org/docs/visualization</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/visualization"/></url><url><loc>https://pytorch3d.org/docs/why_pytorch3d</loc><changefreq>hourly</changefreq><priority>1.0</priority><xhtml:link rel="alternate" hreflang="en" href="https://pytorch3d.org/docs/why_pytorch3d"/></url></urlset>
|
||||
@ -133,7 +133,7 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -141,14 +141,11 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -199,11 +196,11 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/camera_visualization.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/camera_visualization.py
|
||||
<span class="kn">from</span> <span class="nn">camera_visualization</span> <span class="kn">import</span> <span class="n">plot_camera_scene</span>
|
||||
|
||||
<span class="o">!</span>mkdir data
|
||||
<span class="o">!</span>wget -P data https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/data/camera_graph.pth
|
||||
<span class="o">!</span>mkdir<span class="w"> </span>data
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/data/camera_graph.pth
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -285,7 +282,7 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">calc_camera_distance</span><span class="p">(</span><span class="n">cam_1</span><span class="p">,</span> <span class="n">cam_2</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculates the divergence of a batch of pairs of cameras cam_1, cam_2.</span>
|
||||
<span class="sd"> The distance is composed of the cosine of the relative angle between </span>
|
||||
<span class="sd"> the rotation components of the camera extrinsics and the l2 distance</span>
|
||||
@ -299,7 +296,7 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<span class="k">return</span> <span class="n">R_distance</span> <span class="o">+</span> <span class="n">T_distance</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">get_relative_camera</span><span class="p">(</span><span class="n">cams</span><span class="p">,</span> <span class="n">edges</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> For each pair of indices (i,j) in "edges" generate a camera</span>
|
||||
<span class="sd"> that maps from the coordinates of the camera cams[i] to </span>
|
||||
<span class="sd"> the coordinates of the camera cams[j]</span>
|
||||
@ -424,4 +421,4 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -133,7 +133,7 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -141,14 +141,11 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -199,11 +196,11 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/camera_visualization.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/camera_visualization.py
|
||||
<span class="kn">from</span> <span class="nn">camera_visualization</span> <span class="kn">import</span> <span class="n">plot_camera_scene</span>
|
||||
|
||||
<span class="o">!</span>mkdir data
|
||||
<span class="o">!</span>wget -P data https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/data/camera_graph.pth
|
||||
<span class="o">!</span>mkdir<span class="w"> </span>data
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/data/camera_graph.pth
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -285,7 +282,7 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">calc_camera_distance</span><span class="p">(</span><span class="n">cam_1</span><span class="p">,</span> <span class="n">cam_2</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Calculates the divergence of a batch of pairs of cameras cam_1, cam_2.</span>
|
||||
<span class="sd"> The distance is composed of the cosine of the relative angle between </span>
|
||||
<span class="sd"> the rotation components of the camera extrinsics and the l2 distance</span>
|
||||
@ -299,7 +296,7 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
<span class="k">return</span> <span class="n">R_distance</span> <span class="o">+</span> <span class="n">T_distance</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">get_relative_camera</span><span class="p">(</span><span class="n">cams</span><span class="p">,</span> <span class="n">edges</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> For each pair of indices (i,j) in "edges" generate a camera</span>
|
||||
<span class="sd"> that maps from the coordinates of the camera cams[i] to </span>
|
||||
<span class="sd"> the coordinates of the camera cams[j]</span>
|
||||
@ -424,4 +421,4 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -127,7 +127,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -135,14 +135,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -204,8 +201,8 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data
|
||||
<span class="o">!</span>wget -P data https://dl.fbaipublicfiles.com/pytorch3d/data/teapot/teapot.obj
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/teapot/teapot.obj
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -510,4 +507,4 @@
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -127,7 +127,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -135,14 +135,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -204,8 +201,8 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data
|
||||
<span class="o">!</span>wget -P data https://dl.fbaipublicfiles.com/pytorch3d/data/teapot/teapot.obj
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/teapot/teapot.obj
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -510,4 +507,4 @@
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -126,7 +126,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -134,14 +134,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -194,7 +191,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -657,4 +654,4 @@ dataset. The R2N2 dataset also contains its own 24 renderings of each object and
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -126,7 +126,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -134,14 +134,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -194,7 +191,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -657,4 +654,4 @@ dataset. The R2N2 dataset also contains its own 24 renderings of each object and
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -146,7 +146,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -154,14 +154,11 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -225,7 +222,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://dl.fbaipublicfiles.com/pytorch3d/data/dolphin/dolphin.obj
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/dolphin/dolphin.obj
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -237,7 +234,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load the dolphin mesh.</span>
|
||||
<span class="n">trg_obj</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'dolphin.obj'</span><span class="p">)</span>
|
||||
<span class="n">trg_obj</span> <span class="o">=</span> <span class="s1">'dolphin.obj'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -288,7 +285,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h3 id="Visualize-the-source-and-target-meshes">Visualize the source and target meshes<a class="anchor-link" href="#Visualize-the-source-and-target-meshes">¶</a></h3>
|
||||
<h2 id="2.-Visualize-the-source-and-target-meshes">2. Visualize the source and target meshes<a class="anchor-link" href="#2.-Visualize-the-source-and-target-meshes">¶</a></h2>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@ -482,7 +479,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<span class="n">final_verts</span> <span class="o">=</span> <span class="n">final_verts</span> <span class="o">*</span> <span class="n">scale</span> <span class="o">+</span> <span class="n">center</span>
|
||||
|
||||
<span class="c1"># Store the predicted mesh using save_obj</span>
|
||||
<span class="n">final_obj</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'./'</span><span class="p">,</span> <span class="s1">'final_model.obj'</span><span class="p">)</span>
|
||||
<span class="n">final_obj</span> <span class="o">=</span> <span class="s1">'final_model.obj'</span>
|
||||
<span class="n">save_obj</span><span class="p">(</span><span class="n">final_obj</span><span class="p">,</span> <span class="n">final_verts</span><span class="p">,</span> <span class="n">final_faces</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -497,4 +494,4 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -146,7 +146,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -154,14 +154,11 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -225,7 +222,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://dl.fbaipublicfiles.com/pytorch3d/data/dolphin/dolphin.obj
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/dolphin/dolphin.obj
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -237,7 +234,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Load the dolphin mesh.</span>
|
||||
<span class="n">trg_obj</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'dolphin.obj'</span><span class="p">)</span>
|
||||
<span class="n">trg_obj</span> <span class="o">=</span> <span class="s1">'dolphin.obj'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -288,7 +285,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h3 id="Visualize-the-source-and-target-meshes">Visualize the source and target meshes<a class="anchor-link" href="#Visualize-the-source-and-target-meshes">¶</a></h3>
|
||||
<h2 id="2.-Visualize-the-source-and-target-meshes">2. Visualize the source and target meshes<a class="anchor-link" href="#2.-Visualize-the-source-and-target-meshes">¶</a></h2>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@ -482,7 +479,7 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
<span class="n">final_verts</span> <span class="o">=</span> <span class="n">final_verts</span> <span class="o">*</span> <span class="n">scale</span> <span class="o">+</span> <span class="n">center</span>
|
||||
|
||||
<span class="c1"># Store the predicted mesh using save_obj</span>
|
||||
<span class="n">final_obj</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'./'</span><span class="p">,</span> <span class="s1">'final_model.obj'</span><span class="p">)</span>
|
||||
<span class="n">final_obj</span> <span class="o">=</span> <span class="s1">'final_model.obj'</span>
|
||||
<span class="n">save_obj</span><span class="p">(</span><span class="n">final_obj</span><span class="p">,</span> <span class="n">final_verts</span><span class="p">,</span> <span class="n">final_faces</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -497,4 +494,4 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -127,7 +127,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -135,14 +135,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -203,8 +200,8 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
<span class="kn">from</span> <span class="nn">generate_cow_renders</span> <span class="kn">import</span> <span class="n">generate_cow_renders</span>
|
||||
</pre></div>
|
||||
@ -356,7 +353,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">HarmonicEmbedding</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_harmonic_functions</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">omega0</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Given an input tensor `x` of shape [minibatch, ... , dim],</span>
|
||||
<span class="sd"> the harmonic embedding layer converts each feature</span>
|
||||
<span class="sd"> in `x` into a series of harmonic features `embedding`</span>
|
||||
@ -383,7 +380,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">omega0</span> <span class="o">*</span> <span class="p">(</span><span class="mf">2.0</span> <span class="o">**</span> <span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n_harmonic_functions</span><span class="p">)),</span>
|
||||
<span class="p">)</span>
|
||||
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> x: tensor of shape [..., dim]</span>
|
||||
<span class="sd"> Returns:</span>
|
||||
@ -397,7 +394,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="k">class</span> <span class="nc">NeuralRadianceField</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_harmonic_functions</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">n_hidden_neurons</span><span class="o">=</span><span class="mi">256</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> n_harmonic_functions: The number of harmonic functions</span>
|
||||
<span class="sd"> used to form the harmonic embedding of each point.</span>
|
||||
@ -454,7 +451,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">density_layer</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">bias</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1.5</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">_get_densities</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This function takes `features` predicted by `self.mlp`</span>
|
||||
<span class="sd"> and converts them to `raw_densities` with `self.density_layer`.</span>
|
||||
<span class="sd"> `raw_densities` are later mapped to [0-1] range with</span>
|
||||
@ -464,7 +461,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="k">return</span> <span class="mi">1</span> <span class="o">-</span> <span class="p">(</span><span class="o">-</span><span class="n">raw_densities</span><span class="p">)</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">_get_colors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">rays_directions</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This function takes per-point `features` predicted by `self.mlp`</span>
|
||||
<span class="sd"> and evaluates the color model in order to attach to each</span>
|
||||
<span class="sd"> point a 3D vector of its RGB color.</span>
|
||||
@ -508,7 +505,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">ray_bundle</span><span class="p">:</span> <span class="n">RayBundle</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
|
||||
<span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> The forward function accepts the parametrizations of</span>
|
||||
<span class="sd"> 3D points sampled along projection rays. The forward</span>
|
||||
<span class="sd"> pass is responsible for attaching a 3D vector</span>
|
||||
@ -562,7 +559,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">n_batches</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
|
||||
<span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This function is used to allow for memory efficient processing</span>
|
||||
<span class="sd"> of input rays. The input rays are first split to `n_batches`</span>
|
||||
<span class="sd"> chunks and passed through the `self.forward` function one at a time</span>
|
||||
@ -639,7 +636,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">huber</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">scaling</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> A helper function for evaluating the smooth L1 (huber) loss</span>
|
||||
<span class="sd"> between the rendered silhouettes and colors.</span>
|
||||
<span class="sd"> """</span>
|
||||
@ -648,7 +645,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="k">return</span> <span class="n">loss</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">sample_images_at_mc_locs</span><span class="p">(</span><span class="n">target_images</span><span class="p">,</span> <span class="n">sampled_rays_xy</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Given a set of Monte Carlo pixel locations `sampled_rays_xy`,</span>
|
||||
<span class="sd"> this method samples the tensor `target_images` at the</span>
|
||||
<span class="sd"> respective 2D locations.</span>
|
||||
@ -681,7 +678,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">target_image</span><span class="p">,</span> <span class="n">target_silhouette</span><span class="p">,</span>
|
||||
<span class="n">loss_history_color</span><span class="p">,</span> <span class="n">loss_history_sil</span><span class="p">,</span>
|
||||
<span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This is a helper function for visualizing the</span>
|
||||
<span class="sd"> intermediate results of the learning. </span>
|
||||
<span class="sd"> </span>
|
||||
@ -955,4 +952,4 @@ described in the previous cell.</p>
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -127,7 +127,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -135,14 +135,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -203,8 +200,8 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
<span class="kn">from</span> <span class="nn">generate_cow_renders</span> <span class="kn">import</span> <span class="n">generate_cow_renders</span>
|
||||
</pre></div>
|
||||
@ -356,7 +353,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">HarmonicEmbedding</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_harmonic_functions</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">omega0</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Given an input tensor `x` of shape [minibatch, ... , dim],</span>
|
||||
<span class="sd"> the harmonic embedding layer converts each feature</span>
|
||||
<span class="sd"> in `x` into a series of harmonic features `embedding`</span>
|
||||
@ -383,7 +380,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">omega0</span> <span class="o">*</span> <span class="p">(</span><span class="mf">2.0</span> <span class="o">**</span> <span class="n">torch</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n_harmonic_functions</span><span class="p">)),</span>
|
||||
<span class="p">)</span>
|
||||
<span class="k">def</span> <span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> x: tensor of shape [..., dim]</span>
|
||||
<span class="sd"> Returns:</span>
|
||||
@ -397,7 +394,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="k">class</span> <span class="nc">NeuralRadianceField</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
|
||||
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">n_harmonic_functions</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">n_hidden_neurons</span><span class="o">=</span><span class="mi">256</span><span class="p">):</span>
|
||||
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Args:</span>
|
||||
<span class="sd"> n_harmonic_functions: The number of harmonic functions</span>
|
||||
<span class="sd"> used to form the harmonic embedding of each point.</span>
|
||||
@ -454,7 +451,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="bp">self</span><span class="o">.</span><span class="n">density_layer</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">bias</span><span class="o">.</span><span class="n">data</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="o">-</span><span class="mf">1.5</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">_get_densities</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This function takes `features` predicted by `self.mlp`</span>
|
||||
<span class="sd"> and converts them to `raw_densities` with `self.density_layer`.</span>
|
||||
<span class="sd"> `raw_densities` are later mapped to [0-1] range with</span>
|
||||
@ -464,7 +461,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="k">return</span> <span class="mi">1</span> <span class="o">-</span> <span class="p">(</span><span class="o">-</span><span class="n">raw_densities</span><span class="p">)</span><span class="o">.</span><span class="n">exp</span><span class="p">()</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">_get_colors</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">features</span><span class="p">,</span> <span class="n">rays_directions</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This function takes per-point `features` predicted by `self.mlp`</span>
|
||||
<span class="sd"> and evaluates the color model in order to attach to each</span>
|
||||
<span class="sd"> point a 3D vector of its RGB color.</span>
|
||||
@ -508,7 +505,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">ray_bundle</span><span class="p">:</span> <span class="n">RayBundle</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
|
||||
<span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> The forward function accepts the parametrizations of</span>
|
||||
<span class="sd"> 3D points sampled along projection rays. The forward</span>
|
||||
<span class="sd"> pass is responsible for attaching a 3D vector</span>
|
||||
@ -562,7 +559,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">n_batches</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">16</span><span class="p">,</span>
|
||||
<span class="o">**</span><span class="n">kwargs</span><span class="p">,</span>
|
||||
<span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This function is used to allow for memory efficient processing</span>
|
||||
<span class="sd"> of input rays. The input rays are first split to `n_batches`</span>
|
||||
<span class="sd"> chunks and passed through the `self.forward` function one at a time</span>
|
||||
@ -639,7 +636,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">huber</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">scaling</span><span class="o">=</span><span class="mf">0.1</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> A helper function for evaluating the smooth L1 (huber) loss</span>
|
||||
<span class="sd"> between the rendered silhouettes and colors.</span>
|
||||
<span class="sd"> """</span>
|
||||
@ -648,7 +645,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="k">return</span> <span class="n">loss</span>
|
||||
|
||||
<span class="k">def</span> <span class="nf">sample_images_at_mc_locs</span><span class="p">(</span><span class="n">target_images</span><span class="p">,</span> <span class="n">sampled_rays_xy</span><span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> Given a set of Monte Carlo pixel locations `sampled_rays_xy`,</span>
|
||||
<span class="sd"> this method samples the tensor `target_images` at the</span>
|
||||
<span class="sd"> respective 2D locations.</span>
|
||||
@ -681,7 +678,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">target_image</span><span class="p">,</span> <span class="n">target_silhouette</span><span class="p">,</span>
|
||||
<span class="n">loss_history_color</span><span class="p">,</span> <span class="n">loss_history_sil</span><span class="p">,</span>
|
||||
<span class="p">):</span>
|
||||
<span class="sd">"""</span>
|
||||
<span class="w"> </span><span class="sd">"""</span>
|
||||
<span class="sd"> This is a helper function for visualizing the</span>
|
||||
<span class="sd"> intermediate results of the learning. </span>
|
||||
<span class="sd"> </span>
|
||||
@ -955,4 +952,4 @@ described in the previous cell.</p>
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -125,7 +125,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -133,14 +133,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -208,7 +205,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -259,10 +256,10 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/cow_mesh
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/cow_mesh
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -886,4 +883,4 @@ If running locally, the data is already available at the correct path.</p>
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -125,7 +125,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -133,14 +133,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -208,7 +205,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -259,10 +256,10 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/cow_mesh
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/cow_mesh
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -886,4 +883,4 @@ If running locally, the data is already available at the correct path.</p>
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -118,7 +118,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -126,14 +126,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -183,8 +180,8 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
<span class="kn">from</span> <span class="nn">generate_cow_renders</span> <span class="kn">import</span> <span class="n">generate_cow_renders</span>
|
||||
</pre></div>
|
||||
@ -547,4 +544,4 @@ pairs of <code>target_images</code>/<code>rendered_images</code> and <code>targe
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -118,7 +118,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -126,14 +126,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -183,8 +180,8 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/generate_cow_renders.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
<span class="kn">from</span> <span class="nn">generate_cow_renders</span> <span class="kn">import</span> <span class="n">generate_cow_renders</span>
|
||||
</pre></div>
|
||||
@ -547,4 +544,4 @@ pairs of <code>target_images</code>/<code>rendered_images</code> and <code>targe
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -125,7 +125,7 @@ This tutorial provides detailed hands-on experience in using and modifying Impli
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -133,14 +133,11 @@ This tutorial provides detailed hands-on experience in using and modifying Impli
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -159,7 +156,7 @@ This tutorial provides detailed hands-on experience in using and modifying Impli
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip install omegaconf
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>omegaconf
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -876,4 +873,4 @@ instead of
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -125,7 +125,7 @@ This tutorial provides detailed hands-on experience in using and modifying Impli
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -133,14 +133,11 @@ This tutorial provides detailed hands-on experience in using and modifying Impli
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -159,7 +156,7 @@ This tutorial provides detailed hands-on experience in using and modifying Impli
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip install omegaconf
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>omegaconf
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -876,4 +873,4 @@ instead of
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -115,7 +115,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -123,14 +123,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -149,7 +146,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip install omegaconf visdom
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>omegaconf<span class="w"> </span>visdom
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -231,10 +228,10 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/cow_mesh
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/cow_mesh
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -655,4 +652,4 @@ This is a grid of four rows of images, wrapped in to several large rows, i.e..
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -115,7 +115,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -123,14 +123,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -149,7 +146,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip install omegaconf visdom
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>omegaconf<span class="w"> </span>visdom
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -231,10 +228,10 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/cow_mesh
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/cow_mesh
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -655,4 +652,4 @@ This is a grid of four rows of images, wrapped in to several large rows, i.e..
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -62,4 +62,4 @@
|
||||
};
|
||||
}
|
||||
});
|
||||
</script></nav></div><div class="container mainContainer documentContainer postContainer"><div class="wrapper"><div class="post"><header class="postHeader"><h1 class="postHeaderTitle">Welcome to the PyTorch3D Tutorials</h1></header><p>Here you can learn about the structure and applications of PyTorch3D from examples which are in the form of ipython notebooks.</p><h3> Run interactively </h3><p>At the top of each example you can find a button named <strong>"Run in Google Colab"</strong> which will open the notebook in <a href="https://colab.research.google.com/notebooks/intro.ipynb"> Google Colaboratory </a> where you can run the code directly in the browser with access to GPU support - it looks like this:</p><div class="tutorialButtonsWrapper"><div class="tutorialButtonWrapper buttonWrapper"><a class="tutorialButton button" target="_blank"><img class="colabButton" align="left" src="/img/colab_icon.png"/>Run in Google Colab</a></div></div><p> You can modify the code and experiment with varying different settings. Remember to install the latest stable version of PyTorch3D and its dependencies. Code to do this with pip is provided in each notebook. </p><h3> Run locally </h3><p> There is also a button to download the notebook and source code to run it locally. </p></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 © 2022 Meta Platforms, 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>
|
||||
</script></nav></div><div class="container mainContainer documentContainer postContainer"><div class="wrapper"><div class="post"><header class="postHeader"><h1 class="postHeaderTitle">Welcome to the PyTorch3D Tutorials</h1></header><p>Here you can learn about the structure and applications of PyTorch3D from examples which are in the form of ipython notebooks.</p><h3> Run interactively </h3><p>At the top of each example you can find a button named <strong>"Run in Google Colab"</strong> which will open the notebook in <a href="https://colab.research.google.com/notebooks/intro.ipynb"> Google Colaboratory </a> where you can run the code directly in the browser with access to GPU support - it looks like this:</p><div class="tutorialButtonsWrapper"><div class="tutorialButtonWrapper buttonWrapper"><a class="tutorialButton button" target="_blank"><img class="colabButton" align="left" src="/img/colab_icon.png"/>Run in Google Colab</a></div></div><p> You can modify the code and experiment with varying different settings. Remember to install the latest stable version of PyTorch3D and its dependencies. Code to do this with pip is provided in each notebook. </p><h3> Run locally </h3><p> There is also a button to download the notebook and source code to run it locally. </p></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 © 2023 Meta Platforms, 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>
|
||||
@ -124,7 +124,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -132,14 +132,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -199,8 +196,8 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/PittsburghBridge
|
||||
<span class="o">!</span>wget -P data/PittsburghBridge https://dl.fbaipublicfiles.com/pytorch3d/data/PittsburghBridge/pointcloud.npz
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/PittsburghBridge
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/PittsburghBridge<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/PittsburghBridge/pointcloud.npz
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -556,4 +553,4 @@ Sphere-based Representations</a>.</p>
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -124,7 +124,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -132,14 +132,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -199,8 +196,8 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/PittsburghBridge
|
||||
<span class="o">!</span>wget -P data/PittsburghBridge https://dl.fbaipublicfiles.com/pytorch3d/data/PittsburghBridge/pointcloud.npz
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/PittsburghBridge
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/PittsburghBridge<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/PittsburghBridge/pointcloud.npz
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -556,4 +553,4 @@ Sphere-based Representations</a>.</p>
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -127,7 +127,7 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -135,14 +135,11 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -154,7 +151,7 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># We also install chumpy as it is needed to load the SMPL model pickle file.</span>
|
||||
<span class="o">!</span>pip install chumpy
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>chumpy
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -221,12 +218,12 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Texture image</span>
|
||||
<span class="o">!</span>wget -P data/DensePose https://raw.githubusercontent.com/facebookresearch/DensePose/master/DensePoseData/demo_data/texture_from_SURREAL.png
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/DensePose<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/DensePose/master/DensePoseData/demo_data/texture_from_SURREAL.png
|
||||
|
||||
<span class="c1"># UV_processed.mat</span>
|
||||
<span class="o">!</span>wget https://dl.fbaipublicfiles.com/densepose/densepose_uv_data.tar.gz
|
||||
<span class="o">!</span>tar xvf densepose_uv_data.tar.gz -C data/DensePose
|
||||
<span class="o">!</span>rm densepose_uv_data.tar.gz
|
||||
<span class="o">!</span>wget<span class="w"> </span>https://dl.fbaipublicfiles.com/densepose/densepose_uv_data.tar.gz
|
||||
<span class="o">!</span>tar<span class="w"> </span>xvf<span class="w"> </span>densepose_uv_data.tar.gz<span class="w"> </span>-C<span class="w"> </span>data/DensePose
|
||||
<span class="o">!</span>rm<span class="w"> </span>densepose_uv_data.tar.gz
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -505,4 +502,4 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -127,7 +127,7 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -135,14 +135,11 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -154,7 +151,7 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># We also install chumpy as it is needed to load the SMPL model pickle file.</span>
|
||||
<span class="o">!</span>pip install chumpy
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>chumpy
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -221,12 +218,12 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Texture image</span>
|
||||
<span class="o">!</span>wget -P data/DensePose https://raw.githubusercontent.com/facebookresearch/DensePose/master/DensePoseData/demo_data/texture_from_SURREAL.png
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/DensePose<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/DensePose/master/DensePoseData/demo_data/texture_from_SURREAL.png
|
||||
|
||||
<span class="c1"># UV_processed.mat</span>
|
||||
<span class="o">!</span>wget https://dl.fbaipublicfiles.com/densepose/densepose_uv_data.tar.gz
|
||||
<span class="o">!</span>tar xvf densepose_uv_data.tar.gz -C data/DensePose
|
||||
<span class="o">!</span>rm densepose_uv_data.tar.gz
|
||||
<span class="o">!</span>wget<span class="w"> </span>https://dl.fbaipublicfiles.com/densepose/densepose_uv_data.tar.gz
|
||||
<span class="o">!</span>tar<span class="w"> </span>xvf<span class="w"> </span>densepose_uv_data.tar.gz<span class="w"> </span>-C<span class="w"> </span>data/DensePose
|
||||
<span class="o">!</span>rm<span class="w"> </span>densepose_uv_data.tar.gz
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -505,4 +502,4 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -126,7 +126,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -134,14 +134,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -199,7 +196,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -250,10 +247,10 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/cow_mesh
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/cow_mesh
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -766,4 +763,4 @@ The renderer and associated components can take batched inputs and <strong>rende
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -126,7 +126,7 @@
|
||||
<span class="k">except</span> <span class="ne">ModuleNotFoundError</span><span class="p">:</span>
|
||||
<span class="n">need_pytorch3d</span><span class="o">=</span><span class="kc">True</span>
|
||||
<span class="k">if</span> <span class="n">need_pytorch3d</span><span class="p">:</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"1.13."</span><span class="p">)</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">startswith</span><span class="p">((</span><span class="s2">"1.13."</span><span class="p">,</span> <span class="s2">"2.0."</span><span class="p">))</span> <span class="ow">and</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"linux"</span><span class="p">):</span>
|
||||
<span class="c1"># We try to install PyTorch3D via a released wheel.</span>
|
||||
<span class="n">pyt_version_str</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">__version__</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">"+"</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span> <span class="s2">""</span><span class="p">)</span>
|
||||
<span class="n">version_str</span><span class="o">=</span><span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">([</span>
|
||||
@ -134,14 +134,11 @@
|
||||
<span class="n">torch</span><span class="o">.</span><span class="n">version</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"."</span><span class="p">,</span><span class="s2">""</span><span class="p">),</span>
|
||||
<span class="sa">f</span><span class="s2">"_pyt</span><span class="si">{</span><span class="n">pyt_version_str</span><span class="si">}</span><span class="s2">"</span>
|
||||
<span class="p">])</span>
|
||||
<span class="o">!</span>pip install fvcore iopath
|
||||
<span class="o">!</span>pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>fvcore<span class="w"> </span>iopath
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span>--no-index<span class="w"> </span>--no-cache-dir<span class="w"> </span>pytorch3d<span class="w"> </span>-f<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/<span class="o">{</span>version_str<span class="o">}</span>/download.html
|
||||
<span class="k">else</span><span class="p">:</span>
|
||||
<span class="c1"># We try to install PyTorch3D from source.</span>
|
||||
<span class="o">!</span>curl -LO https://github.com/NVIDIA/cub/archive/1.10.0.tar.gz
|
||||
<span class="o">!</span>tar xzf <span class="m">1</span>.10.0.tar.gz
|
||||
<span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"CUB_HOME"</span><span class="p">]</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">getcwd</span><span class="p">()</span> <span class="o">+</span> <span class="s2">"/cub-1.10.0"</span>
|
||||
<span class="o">!</span>pip install <span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
<span class="o">!</span>pip<span class="w"> </span>install<span class="w"> </span><span class="s1">'git+https://github.com/facebookresearch/pytorch3d.git@stable'</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -199,7 +196,7 @@
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget<span class="w"> </span>https://raw.githubusercontent.com/facebookresearch/pytorch3d/main/docs/tutorials/utils/plot_image_grid.py
|
||||
<span class="kn">from</span> <span class="nn">plot_image_grid</span> <span class="kn">import</span> <span class="n">image_grid</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
@ -250,10 +247,10 @@ If running locally, the data is already available at the correct path.</p>
|
||||
<div class="prompt input_prompt">In [ ]:</div>
|
||||
<div class="inner_cell">
|
||||
<div class="input_area">
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir -p data/cow_mesh
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget -P data/cow_mesh https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="o">!</span>mkdir<span class="w"> </span>-p<span class="w"> </span>data/cow_mesh
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.obj
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow.mtl
|
||||
<span class="o">!</span>wget<span class="w"> </span>-P<span class="w"> </span>data/cow_mesh<span class="w"> </span>https://dl.fbaipublicfiles.com/pytorch3d/data/cow_mesh/cow_texture.png
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -766,4 +763,4 @@ The renderer and associated components can take batched inputs and <strong>rende
|
||||
</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 © 2022 Meta Platforms, 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>
|
||||
</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 © 2023 Meta Platforms, 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>
|
||||
@ -6,4 +6,4 @@
|
||||
|
||||
ga('create', 'UA-157376881-1', 'auto');
|
||||
ga('send', 'pageview');
|
||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2022 Meta Platforms, 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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||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2023 Meta Platforms, 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>
|
||||
@ -6,4 +6,4 @@
|
||||
|
||||
ga('create', 'UA-157376881-1', 'auto');
|
||||
ga('send', 'pageview');
|
||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2022 Meta Platforms, 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>
|
||||
</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 class="mainContainer"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="showcaseSection"><div class="prose"><h1>Who is Using This?</h1><p>This project is used by many folks</p></div><div class="logos"><a href="https://www.facebook.com"><img src="/img/undraw_open_source.svg" alt="User1" title="User1"/></a></div><p>Are you using this project?</p><a href="undefined/edit/main/website/siteConfig.js" class="button">Add your company</a></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 © 2023 Meta Platforms, 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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