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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 © 2021 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 © 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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@ -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 © 2021 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 © 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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@ -95,7 +95,7 @@ and (W,H) is the bottom right corner of the bottom right pixel.</li>
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<li><code>transform_points</code> which takes a set of input points in world coordinates and projects to NDC coordinates ranging from [-1, -1, znear] to [+1, +1, zfar].</li>
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<li><code>get_ndc_camera_transform</code> which defines the conversion to PyTorch3D's NDC space and is called when interfacing with the PyTorch3D renderer. If the camera is defined in NDC space, then the identity transform is returned. If the cameras is defined in screen space, the conversion from screen to NDC is returned. If users define their own camera in screen space, they need to think of the screen to NDC conversion. We provide examples for the <code>PerspectiveCameras</code> and <code>OrthographicCameras</code>.</li>
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<li><code>transform_points_ndc</code> which takes a set of points in world coordinates and projects them to PyTorch3D's NDC space</li>
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<li><code>transform_points_screen</code> which takes a set of input points in world coordinates and projects them to the screen coordinates ranging from [0, 0, znear] to [W-1, H-1, zfar]</li>
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<li><code>transform_points_screen</code> which takes a set of input points in world coordinates and projects them to the screen coordinates ranging from [0, 0, znear] to [W, H, zfar]</li>
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</ul>
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<p>Users can easily customize their own cameras. For each new camera, users should implement the <code>get_projection_transform</code> routine that returns the mapping <code>P</code> from camera view coordinates to NDC coordinates.</p>
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<h4><a class="anchor" aria-hidden="true" id="fovperspectivecameras-fovorthographiccameras"></a><a href="#fovperspectivecameras-fovorthographiccameras" 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>FoVPerspectiveCameras, FoVOrthographicCameras</h4>
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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 © 2021 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_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>
|
||||
@ -95,7 +95,7 @@ and (W,H) is the bottom right corner of the bottom right pixel.</li>
|
||||
<li><code>transform_points</code> which takes a set of input points in world coordinates and projects to NDC coordinates ranging from [-1, -1, znear] to [+1, +1, zfar].</li>
|
||||
<li><code>get_ndc_camera_transform</code> which defines the conversion to PyTorch3D's NDC space and is called when interfacing with the PyTorch3D renderer. If the camera is defined in NDC space, then the identity transform is returned. If the cameras is defined in screen space, the conversion from screen to NDC is returned. If users define their own camera in screen space, they need to think of the screen to NDC conversion. We provide examples for the <code>PerspectiveCameras</code> and <code>OrthographicCameras</code>.</li>
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<li><code>transform_points_ndc</code> which takes a set of points in world coordinates and projects them to PyTorch3D's NDC space</li>
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<li><code>transform_points_screen</code> which takes a set of input points in world coordinates and projects them to the screen coordinates ranging from [0, 0, znear] to [W-1, H-1, zfar]</li>
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<li><code>transform_points_screen</code> which takes a set of input points in world coordinates and projects them to the screen coordinates ranging from [0, 0, znear] to [W, H, zfar]</li>
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</ul>
|
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<p>Users can easily customize their own cameras. For each new camera, users should implement the <code>get_projection_transform</code> routine that returns the mapping <code>P</code> from camera view coordinates to NDC coordinates.</p>
|
||||
<h4><a class="anchor" aria-hidden="true" id="fovperspectivecameras-fovorthographiccameras"></a><a href="#fovperspectivecameras-fovorthographiccameras" 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>FoVPerspectiveCameras, FoVOrthographicCameras</h4>
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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 © 2021 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_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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@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -83,4 +83,4 @@ mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-construc
|
||||
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 © 2021 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/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>
|
||||
@ -83,4 +83,4 @@ mesh = <span class="hljs-constructor">IO()</span>.load<span class="hljs-construc
|
||||
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 © 2021 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/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>
|
||||
@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overal(boxes1, boxes2)
|
||||
year = {<span class="hljs-number">2020</span>},
|
||||
}
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Georgia Gkioxari</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 © 2021 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 Georgia Gkioxari</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>
|
||||
@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overal(boxes1, boxes2)
|
||||
year = {<span class="hljs-number">2020</span>},
|
||||
}
|
||||
</code></pre>
|
||||
</span></div></article></div><div class="docLastUpdate"><em>Last updated by Georgia Gkioxari</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 © 2021 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 Georgia Gkioxari</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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 Christoph Lassner</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 © 2021 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 Christoph Lassner</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>
|
||||
@ -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 Christoph Lassner</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 © 2021 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 Christoph Lassner</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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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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@ -75,4 +75,4 @@
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||||
<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 © 2021 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 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>
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@ -75,4 +75,4 @@
|
||||
<pre><code class="hljs"><span class="hljs-attribute">fig</span> = ...
|
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fig.write_image(<span class="hljs-string">"image_name.png"</span>)
|
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</code></pre>
|
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</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 © 2021 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 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>
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@ -65,4 +65,4 @@
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</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 © 2021 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 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>
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@ -65,4 +65,4 @@
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</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 © 2021 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 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>
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@ -12,4 +12,4 @@
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</span></div></h2><div><span><p>Ask questions about the documentation and 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 © 2021 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 @@
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</span></div></h2><div><span><p>Ask questions about the documentation and project</p>
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</span></div></div></div><div class="blockElement threeByGridBlock"><div class="blockContent"><h2><div><span><p>Stay up to date</p>
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</span></div></h2><div><span><p>Find out what's new with this project</p>
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</script><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="/js/scrollSpy.js"></script><link rel="stylesheet" href="/css/main.css"/><script src="/js/codetabs.js"></script></head><body><div class="fixedHeaderContainer"><div class="headerWrapper wrapper"><header><a href="/"><img class="logo" src="/img/pytorch3dfavicon.png" alt="PyTorch3D"/><h2 class="headerTitleWithLogo">PyTorch3D</h2></a><div class="navigationWrapper navigationSlider"><nav class="slidingNav"><ul class="nav-site nav-site-internal"><li class=""><a href="/docs/why_pytorch3d" target="_self">Docs</a></li><li class=""><a href="/tutorials" target="_self">Tutorials</a></li><li class=""><a href="https://pytorch3d.readthedocs.io/" target="_self">API</a></li><li class=""><a href="https://github.com/facebookresearch/pytorch3d" target="_self">GitHub</a></li></ul></nav></div></header></div></div><div class="navPusher"><div><div class="homeContainer"><div class="homeSplashFade"><div class="wrapper homeWrapper"><div class="splashLogo"><img src="/img/pytorch3dlogowhite.svg" alt="Project Logo"/></div><div class="inner"><h2 class="projectTitle"><small>A library for deep learning with 3D data</small></h2><div class="section promoSection"><div class="promoRow"><div class="pluginRowBlock"><div class="pluginWrapper buttonWrapper"><a class="button" href="/docs/en/why_pytorch3d.html">Docs</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="/tutorials/">Tutorials</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="#quickstart">Get Started</a></div></div></div></div></div></div></div></div><div class="landingPage mainContainer"><div class="productShowcaseSection" style="text-align:center"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="gridBlock"><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/batching.svg"/></div><div class="blockContent"><h2><div><span><p>Heterogeneous Batching</p>
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</script><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="/js/scrollSpy.js"></script><link rel="stylesheet" href="/css/main.css"/><script src="/js/codetabs.js"></script></head><body><div class="fixedHeaderContainer"><div class="headerWrapper wrapper"><header><a href="/"><img class="logo" src="/img/pytorch3dfavicon.png" alt="PyTorch3D"/><h2 class="headerTitleWithLogo">PyTorch3D</h2></a><div class="navigationWrapper navigationSlider"><nav class="slidingNav"><ul class="nav-site nav-site-internal"><li class=""><a href="/docs/why_pytorch3d" target="_self">Docs</a></li><li class=""><a href="/tutorials" target="_self">Tutorials</a></li><li class=""><a href="https://pytorch3d.readthedocs.io/" target="_self">API</a></li><li class=""><a href="https://github.com/facebookresearch/pytorch3d" target="_self">GitHub</a></li></ul></nav></div></header></div></div><div class="navPusher"><div><div class="socialBanner"><div>Support Ukraine 🇺🇦 <a href="https://opensource.fb.com/support-ukraine">Help Provide Humanitarian Aid to Ukraine</a>.</div></div><div class="homeContainer"><div class="homeSplashFade"><div class="wrapper homeWrapper"><div class="splashLogo"><img src="/img/pytorch3dlogowhite.svg" alt="Project Logo"/></div><div class="inner"><h2 class="projectTitle"><small>A library for deep learning with 3D data</small></h2><div class="section promoSection"><div class="promoRow"><div class="pluginRowBlock"><div class="pluginWrapper buttonWrapper"><a class="button" href="/docs/en/why_pytorch3d.html">Docs</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="/tutorials/">Tutorials</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="#quickstart">Get Started</a></div></div></div></div></div></div></div></div><div class="landingPage mainContainer"><div class="productShowcaseSection" style="text-align:center"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="gridBlock"><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/batching.svg"/></div><div class="blockContent"><h2><div><span><p>Heterogeneous Batching</p>
|
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</span></div></h2><div><span><p>Supports batching of 3D inputs of different sizes such as meshes</p>
|
||||
</span></div></div></div><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/ops.png"/></div><div class="blockContent"><h2><div><span><p>Fast 3D Operators</p>
|
||||
</span></div></h2><div><span><p>Supports optimized implementations of several common functions for 3D data</p>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -10,7 +10,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -97,7 +97,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Absolute camera orientation given set of relative camera pairs
|
||||
@ -57,7 +57,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -10,7 +10,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -84,7 +84,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Camera position optimization using differentiable rendering
|
||||
@ -44,7 +44,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -59,7 +59,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Dataloaders for ShapeNetCore and R2N2
|
||||
@ -39,7 +39,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -10,7 +10,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -98,7 +98,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Deform a source mesh to form a target mesh using 3D loss functions
|
||||
@ -56,7 +56,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -64,7 +64,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
@ -99,7 +100,7 @@
|
||||
"from pytorch3d.transforms import so3_exp_map\n",
|
||||
"from pytorch3d.renderer import (\n",
|
||||
" FoVPerspectiveCameras, \n",
|
||||
" NDCGridRaysampler,\n",
|
||||
" NDCMultinomialRaysampler,\n",
|
||||
" MonteCarloRaysampler,\n",
|
||||
" EmissionAbsorptionRaymarcher,\n",
|
||||
" ImplicitRenderer,\n",
|
||||
@ -185,7 +186,7 @@
|
||||
"The renderer is composed of a *raymarcher* and a *raysampler*.\n",
|
||||
"- The *raysampler* is responsible for emitting rays from image pixels and sampling the points along them. Here, we use two different raysamplers:\n",
|
||||
" - `MonteCarloRaysampler` is used to generate rays from a random subset of pixels of the image plane. The random subsampling of pixels is carried out during **training** to decrease the memory consumption of the implicit model.\n",
|
||||
" - `NDCGridRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, `NDCGridRaysampler` consumes a large amount of memory and, hence, is only used for visualizing the results of the training at **test** time.\n",
|
||||
" - `NDCMultinomialRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, `NDCMultinomialRaysampler` consumes a large amount of memory and, hence, is only used for visualizing the results of the training at **test** time.\n",
|
||||
"- The *raymarcher* takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the `EmissionAbsorptionRaymarcher` which implements the standard Emission-Absorption raymarching algorithm."
|
||||
]
|
||||
},
|
||||
@ -210,10 +211,10 @@
|
||||
"\n",
|
||||
"# 1) Instantiate the raysamplers.\n",
|
||||
"\n",
|
||||
"# Here, NDCGridRaysampler generates a rectangular image\n",
|
||||
"# Here, NDCMultinomialRaysampler generates a rectangular image\n",
|
||||
"# grid of rays whose coordinates follow the PyTorch3D\n",
|
||||
"# coordinate conventions.\n",
|
||||
"raysampler_grid = NDCGridRaysampler(\n",
|
||||
"raysampler_grid = NDCMultinomialRaysampler(\n",
|
||||
" image_height=render_size,\n",
|
||||
" image_width=render_size,\n",
|
||||
" n_pts_per_ray=128,\n",
|
||||
@ -843,7 +844,7 @@
|
||||
" fov=target_cameras.fov[0],\n",
|
||||
" device=device,\n",
|
||||
" )\n",
|
||||
" # Note that we again render with `NDCGridRaySampler`\n",
|
||||
" # Note that we again render with `NDCMultinomialRaysampler`\n",
|
||||
" # and the batched_forward function of neural_radiance_field.\n",
|
||||
" frames.append(\n",
|
||||
" renderer_grid(\n",
|
||||
@ -866,7 +867,7 @@
|
||||
"source": [
|
||||
"## 6. Conclusion\n",
|
||||
"\n",
|
||||
"In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a `MonteCarloRaysampler` or `NDCGridRaysampler`, and an `EmissionAbsorptionRaymarcher`."
|
||||
"In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a `MonteCarloRaysampler` or `NDCMultinomialRaysampler`, and an `EmissionAbsorptionRaymarcher`."
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Fit a simple Neural Radiance Field via raymarching
|
||||
@ -50,7 +50,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
@ -82,7 +83,7 @@ from pytorch3d.structures import Volumes
|
||||
from pytorch3d.transforms import so3_exp_map
|
||||
from pytorch3d.renderer import (
|
||||
FoVPerspectiveCameras,
|
||||
NDCGridRaysampler,
|
||||
NDCMultinomialRaysampler,
|
||||
MonteCarloRaysampler,
|
||||
EmissionAbsorptionRaymarcher,
|
||||
ImplicitRenderer,
|
||||
@ -145,7 +146,7 @@ print(f'Generated {len(target_images)} images/silhouettes/cameras.')
|
||||
# The renderer is composed of a *raymarcher* and a *raysampler*.
|
||||
# - The *raysampler* is responsible for emitting rays from image pixels and sampling the points along them. Here, we use two different raysamplers:
|
||||
# - `MonteCarloRaysampler` is used to generate rays from a random subset of pixels of the image plane. The random subsampling of pixels is carried out during **training** to decrease the memory consumption of the implicit model.
|
||||
# - `NDCGridRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, `NDCGridRaysampler` consumes a large amount of memory and, hence, is only used for visualizing the results of the training at **test** time.
|
||||
# - `NDCMultinomialRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, `NDCMultinomialRaysampler` consumes a large amount of memory and, hence, is only used for visualizing the results of the training at **test** time.
|
||||
# - The *raymarcher* takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the `EmissionAbsorptionRaymarcher` which implements the standard Emission-Absorption raymarching algorithm.
|
||||
|
||||
# In[ ]:
|
||||
@ -166,10 +167,10 @@ volume_extent_world = 3.0
|
||||
|
||||
# 1) Instantiate the raysamplers.
|
||||
|
||||
# Here, NDCGridRaysampler generates a rectangular image
|
||||
# Here, NDCMultinomialRaysampler generates a rectangular image
|
||||
# grid of rays whose coordinates follow the PyTorch3D
|
||||
# coordinate conventions.
|
||||
raysampler_grid = NDCGridRaysampler(
|
||||
raysampler_grid = NDCMultinomialRaysampler(
|
||||
image_height=render_size,
|
||||
image_width=render_size,
|
||||
n_pts_per_ray=128,
|
||||
@ -768,7 +769,7 @@ def generate_rotating_nerf(neural_radiance_field, n_frames = 50):
|
||||
fov=target_cameras.fov[0],
|
||||
device=device,
|
||||
)
|
||||
# Note that we again render with `NDCGridRaySampler`
|
||||
# Note that we again render with `NDCMultinomialRaysampler`
|
||||
# and the batched_forward function of neural_radiance_field.
|
||||
frames.append(
|
||||
renderer_grid(
|
||||
@ -787,4 +788,4 @@ plt.show()
|
||||
|
||||
# ## 6. Conclusion
|
||||
#
|
||||
# In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a `MonteCarloRaysampler` or `NDCGridRaysampler`, and an `EmissionAbsorptionRaymarcher`.
|
||||
# In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a `MonteCarloRaysampler` or `NDCMultinomialRaysampler`, and an `EmissionAbsorptionRaymarcher`.
|
||||
|
||||
@ -10,7 +10,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -76,7 +76,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Fit a mesh via rendering
|
||||
@ -39,7 +39,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -55,7 +55,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
@ -88,7 +89,7 @@
|
||||
"from pytorch3d.renderer import (\n",
|
||||
" FoVPerspectiveCameras, \n",
|
||||
" VolumeRenderer,\n",
|
||||
" NDCGridRaysampler,\n",
|
||||
" NDCMultinomialRaysampler,\n",
|
||||
" EmissionAbsorptionRaymarcher\n",
|
||||
")\n",
|
||||
"from pytorch3d.transforms import so3_exp_map\n",
|
||||
@ -163,7 +164,7 @@
|
||||
"The following initializes a volumetric renderer that emits a ray from each pixel of a target image and samples a set of uniformly-spaced points along the ray. At each ray-point, the corresponding density and color value is obtained by querying the corresponding location in the volumetric model of the scene (the model is described & instantiated in a later cell).\n",
|
||||
"\n",
|
||||
"The renderer is composed of a *raymarcher* and a *raysampler*.\n",
|
||||
"- The *raysampler* is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the `NDCGridRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).\n",
|
||||
"- The *raysampler* is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the `NDCMultinomialRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).\n",
|
||||
"- The *raymarcher* takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the `EmissionAbsorptionRaymarcher` which implements the standard Emission-Absorption raymarching algorithm."
|
||||
]
|
||||
},
|
||||
@ -185,14 +186,14 @@
|
||||
"volume_extent_world = 3.0\n",
|
||||
"\n",
|
||||
"# 1) Instantiate the raysampler.\n",
|
||||
"# Here, NDCGridRaysampler generates a rectangular image\n",
|
||||
"# Here, NDCMultinomialRaysampler generates a rectangular image\n",
|
||||
"# grid of rays whose coordinates follow the PyTorch3D\n",
|
||||
"# coordinate conventions.\n",
|
||||
"# Since we use a volume of size 128^3, we sample n_pts_per_ray=150,\n",
|
||||
"# which roughly corresponds to a one ray-point per voxel.\n",
|
||||
"# We further set the min_depth=0.1 since there is no surface within\n",
|
||||
"# 0.1 units of any camera plane.\n",
|
||||
"raysampler = NDCGridRaysampler(\n",
|
||||
"raysampler = NDCMultinomialRaysampler(\n",
|
||||
" image_width=render_size,\n",
|
||||
" image_height=render_size,\n",
|
||||
" n_pts_per_ray=150,\n",
|
||||
@ -461,7 +462,7 @@
|
||||
"source": [
|
||||
"## 6. Conclusion\n",
|
||||
"\n",
|
||||
"In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an `NDCGridRaysampler` and an `EmissionAbsorptionRaymarcher`."
|
||||
"In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an `NDCMultinomialRaysampler` and an `EmissionAbsorptionRaymarcher`."
|
||||
]
|
||||
}
|
||||
],
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Fit a volume via raymarching
|
||||
@ -40,7 +40,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
@ -70,7 +71,7 @@ from pytorch3d.structures import Volumes
|
||||
from pytorch3d.renderer import (
|
||||
FoVPerspectiveCameras,
|
||||
VolumeRenderer,
|
||||
NDCGridRaysampler,
|
||||
NDCMultinomialRaysampler,
|
||||
EmissionAbsorptionRaymarcher
|
||||
)
|
||||
from pytorch3d.transforms import so3_exp_map
|
||||
@ -122,7 +123,7 @@ print(f'Generated {len(target_images)} images/silhouettes/cameras.')
|
||||
# The following initializes a volumetric renderer that emits a ray from each pixel of a target image and samples a set of uniformly-spaced points along the ray. At each ray-point, the corresponding density and color value is obtained by querying the corresponding location in the volumetric model of the scene (the model is described & instantiated in a later cell).
|
||||
#
|
||||
# The renderer is composed of a *raymarcher* and a *raysampler*.
|
||||
# - The *raysampler* is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the `NDCGridRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).
|
||||
# - The *raysampler* is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the `NDCMultinomialRaysampler` which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).
|
||||
# - The *raymarcher* takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the `EmissionAbsorptionRaymarcher` which implements the standard Emission-Absorption raymarching algorithm.
|
||||
|
||||
# In[ ]:
|
||||
@ -140,14 +141,14 @@ render_size = target_images.shape[1]
|
||||
volume_extent_world = 3.0
|
||||
|
||||
# 1) Instantiate the raysampler.
|
||||
# Here, NDCGridRaysampler generates a rectangular image
|
||||
# Here, NDCMultinomialRaysampler generates a rectangular image
|
||||
# grid of rays whose coordinates follow the PyTorch3D
|
||||
# coordinate conventions.
|
||||
# Since we use a volume of size 128^3, we sample n_pts_per_ray=150,
|
||||
# which roughly corresponds to a one ray-point per voxel.
|
||||
# We further set the min_depth=0.1 since there is no surface within
|
||||
# 0.1 units of any camera plane.
|
||||
raysampler = NDCGridRaysampler(
|
||||
raysampler = NDCMultinomialRaysampler(
|
||||
image_width=render_size,
|
||||
image_height=render_size,
|
||||
n_pts_per_ray=150,
|
||||
@ -388,4 +389,4 @@ plt.show()
|
||||
|
||||
# ## 6. Conclusion
|
||||
#
|
||||
# In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an `NDCGridRaysampler` and an `EmissionAbsorptionRaymarcher`.
|
||||
# In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an `NDCMultinomialRaysampler` and an `EmissionAbsorptionRaymarcher`.
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -58,7 +58,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Render a colored point cloud
|
||||
@ -38,7 +38,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -6,7 +6,7 @@
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -65,7 +65,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Render DensePose
|
||||
@ -42,7 +42,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -10,7 +10,7 @@
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved."
|
||||
"# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved."
|
||||
]
|
||||
},
|
||||
{
|
||||
@ -81,7 +81,8 @@
|
||||
" torch.version.cuda.replace(\".\",\"\"),\n",
|
||||
" f\"_pyt{pyt_version_str}\"\n",
|
||||
" ])\n",
|
||||
" !pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html\n",
|
||||
" !pip install fvcore iopath\n",
|
||||
" !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",
|
||||
|
||||
@ -4,7 +4,7 @@
|
||||
# In[ ]:
|
||||
|
||||
|
||||
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
|
||||
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
|
||||
|
||||
|
||||
# # Render a textured mesh
|
||||
@ -40,7 +40,8 @@ if need_pytorch3d:
|
||||
torch.version.cuda.replace(".",""),
|
||||
f"_pyt{pyt_version_str}"
|
||||
])
|
||||
get_ipython().system('pip install pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/{version_str}/download.html')
|
||||
get_ipython().system('pip install fvcore iopath')
|
||||
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')
|
||||
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -6,7 +6,7 @@
|
||||
|
||||
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><div class="homeContainer"><div class="homeSplashFade"><div class="wrapper homeWrapper"><div class="splashLogo"><img src="/img/pytorch3dlogowhite.svg" alt="Project Logo"/></div><div class="inner"><h2 class="projectTitle"><small>A library for deep learning with 3D data</small></h2><div class="section promoSection"><div class="promoRow"><div class="pluginRowBlock"><div class="pluginWrapper buttonWrapper"><a class="button" href="/docs/why_pytorch3d.html">Docs</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="/tutorials/">Tutorials</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="#quickstart">Get Started</a></div></div></div></div></div></div></div></div><div class="landingPage mainContainer"><div class="productShowcaseSection" style="text-align:center"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="gridBlock"><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/batching.svg"/></div><div class="blockContent"><h2><div><span><p>Heterogeneous Batching</p>
|
||||
</script><script type="text/javascript" src="https://buttons.github.io/buttons.js"></script><script src="/js/scrollSpy.js"></script><link rel="stylesheet" href="/css/main.css"/><script src="/js/codetabs.js"></script></head><body><div class="fixedHeaderContainer"><div class="headerWrapper wrapper"><header><a href="/"><img class="logo" src="/img/pytorch3dfavicon.png" alt="PyTorch3D"/><h2 class="headerTitleWithLogo">PyTorch3D</h2></a><div class="navigationWrapper navigationSlider"><nav class="slidingNav"><ul class="nav-site nav-site-internal"><li class=""><a href="/docs/why_pytorch3d" target="_self">Docs</a></li><li class=""><a href="/tutorials" target="_self">Tutorials</a></li><li class=""><a href="https://pytorch3d.readthedocs.io/" target="_self">API</a></li><li class=""><a href="https://github.com/facebookresearch/pytorch3d" target="_self">GitHub</a></li></ul></nav></div></header></div></div><div class="navPusher"><div><div class="socialBanner"><div>Support Ukraine 🇺🇦 <a href="https://opensource.fb.com/support-ukraine">Help Provide Humanitarian Aid to Ukraine</a>.</div></div><div class="homeContainer"><div class="homeSplashFade"><div class="wrapper homeWrapper"><div class="splashLogo"><img src="/img/pytorch3dlogowhite.svg" alt="Project Logo"/></div><div class="inner"><h2 class="projectTitle"><small>A library for deep learning with 3D data</small></h2><div class="section promoSection"><div class="promoRow"><div class="pluginRowBlock"><div class="pluginWrapper buttonWrapper"><a class="button" href="/docs/why_pytorch3d.html">Docs</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="/tutorials/">Tutorials</a></div><div class="pluginWrapper buttonWrapper"><a class="button" href="#quickstart">Get Started</a></div></div></div></div></div></div></div></div><div class="landingPage mainContainer"><div class="productShowcaseSection" style="text-align:center"><div class="container paddingBottom paddingTop"><div class="wrapper"><div class="gridBlock"><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/batching.svg"/></div><div class="blockContent"><h2><div><span><p>Heterogeneous Batching</p>
|
||||
</span></div></h2><div><span><p>Supports batching of 3D inputs of different sizes such as meshes</p>
|
||||
</span></div></div></div><div class="blockElement alignCenter fourByGridBlock imageAlignTop"><div class="blockImage"><img src="/img/ops.png"/></div><div class="blockContent"><h2><div><span><p>Fast 3D Operators</p>
|
||||
</span></div></h2><div><span><p>Supports optimized implementations of several common functions for 3D data</p>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -141,7 +141,8 @@ 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 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 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="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
|
||||
@ -423,4 +424,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -141,7 +141,8 @@ 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 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 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="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
|
||||
@ -423,4 +424,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -135,7 +135,8 @@
|
||||
<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 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 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="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
|
||||
@ -509,4 +510,4 @@
|
||||
</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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -135,7 +135,8 @@
|
||||
<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 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 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="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
|
||||
@ -509,4 +510,4 @@
|
||||
</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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -134,7 +134,8 @@
|
||||
<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 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 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="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
|
||||
@ -656,4 +657,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -134,7 +134,8 @@
|
||||
<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 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 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="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
|
||||
@ -656,4 +657,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -154,7 +154,8 @@ 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 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 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="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
|
||||
@ -496,4 +497,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -154,7 +154,8 @@ 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 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 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="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
|
||||
@ -496,4 +497,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -135,7 +135,8 @@
|
||||
<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 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 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="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
|
||||
@ -172,7 +173,7 @@
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.transforms</span> <span class="kn">import</span> <span class="n">so3_exp_map</span>
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.renderer</span> <span class="kn">import</span> <span class="p">(</span>
|
||||
<span class="n">FoVPerspectiveCameras</span><span class="p">,</span>
|
||||
<span class="n">NDCGridRaysampler</span><span class="p">,</span>
|
||||
<span class="n">NDCMultinomialRaysampler</span><span class="p">,</span>
|
||||
<span class="n">MonteCarloRaysampler</span><span class="p">,</span>
|
||||
<span class="n">EmissionAbsorptionRaymarcher</span><span class="p">,</span>
|
||||
<span class="n">ImplicitRenderer</span><span class="p">,</span>
|
||||
@ -266,7 +267,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<ul>
|
||||
<li>The <em>raysampler</em> is responsible for emitting rays from image pixels and sampling the points along them. Here, we use two different raysamplers:<ul>
|
||||
<li><code>MonteCarloRaysampler</code> is used to generate rays from a random subset of pixels of the image plane. The random subsampling of pixels is carried out during <strong>training</strong> to decrease the memory consumption of the implicit model.</li>
|
||||
<li><code>NDCGridRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, <code>NDCGridRaysampler</code> consumes a large amount of memory and, hence, is only used for visualizing the results of the training at <strong>test</strong> time.</li>
|
||||
<li><code>NDCMultinomialRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, <code>NDCMultinomialRaysampler</code> consumes a large amount of memory and, hence, is only used for visualizing the results of the training at <strong>test</strong> time.</li>
|
||||
</ul>
|
||||
</li>
|
||||
<li>The <em>raymarcher</em> takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the <code>EmissionAbsorptionRaymarcher</code> which implements the standard Emission-Absorption raymarching algorithm.</li>
|
||||
@ -294,10 +295,10 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
|
||||
<span class="c1"># 1) Instantiate the raysamplers.</span>
|
||||
|
||||
<span class="c1"># Here, NDCGridRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># Here, NDCMultinomialRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># grid of rays whose coordinates follow the PyTorch3D</span>
|
||||
<span class="c1"># coordinate conventions.</span>
|
||||
<span class="n">raysampler_grid</span> <span class="o">=</span> <span class="n">NDCGridRaysampler</span><span class="p">(</span>
|
||||
<span class="n">raysampler_grid</span> <span class="o">=</span> <span class="n">NDCMultinomialRaysampler</span><span class="p">(</span>
|
||||
<span class="n">image_height</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">image_width</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">n_pts_per_ray</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span>
|
||||
@ -926,7 +927,7 @@ described in the previous cell.</p>
|
||||
<span class="n">fov</span><span class="o">=</span><span class="n">target_cameras</span><span class="o">.</span><span class="n">fov</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
|
||||
<span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
<span class="c1"># Note that we again render with `NDCGridRaySampler`</span>
|
||||
<span class="c1"># Note that we again render with `NDCMultinomialRaysampler`</span>
|
||||
<span class="c1"># and the batched_forward function of neural_radiance_field.</span>
|
||||
<span class="n">frames</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
|
||||
<span class="n">renderer_grid</span><span class="p">(</span>
|
||||
@ -950,8 +951,8 @@ described in the previous cell.</p>
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a <code>MonteCarloRaysampler</code> or <code>NDCGridRaysampler</code>, and an <code>EmissionAbsorptionRaymarcher</code>.</p>
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a <code>MonteCarloRaysampler</code> or <code>NDCMultinomialRaysampler</code>, and an <code>EmissionAbsorptionRaymarcher</code>.</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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -135,7 +135,8 @@
|
||||
<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 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 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="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
|
||||
@ -172,7 +173,7 @@
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.transforms</span> <span class="kn">import</span> <span class="n">so3_exp_map</span>
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.renderer</span> <span class="kn">import</span> <span class="p">(</span>
|
||||
<span class="n">FoVPerspectiveCameras</span><span class="p">,</span>
|
||||
<span class="n">NDCGridRaysampler</span><span class="p">,</span>
|
||||
<span class="n">NDCMultinomialRaysampler</span><span class="p">,</span>
|
||||
<span class="n">MonteCarloRaysampler</span><span class="p">,</span>
|
||||
<span class="n">EmissionAbsorptionRaymarcher</span><span class="p">,</span>
|
||||
<span class="n">ImplicitRenderer</span><span class="p">,</span>
|
||||
@ -266,7 +267,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<ul>
|
||||
<li>The <em>raysampler</em> is responsible for emitting rays from image pixels and sampling the points along them. Here, we use two different raysamplers:<ul>
|
||||
<li><code>MonteCarloRaysampler</code> is used to generate rays from a random subset of pixels of the image plane. The random subsampling of pixels is carried out during <strong>training</strong> to decrease the memory consumption of the implicit model.</li>
|
||||
<li><code>NDCGridRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, <code>NDCGridRaysampler</code> consumes a large amount of memory and, hence, is only used for visualizing the results of the training at <strong>test</strong> time.</li>
|
||||
<li><code>NDCMultinomialRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user). In combination with the implicit model of the scene, <code>NDCMultinomialRaysampler</code> consumes a large amount of memory and, hence, is only used for visualizing the results of the training at <strong>test</strong> time.</li>
|
||||
</ul>
|
||||
</li>
|
||||
<li>The <em>raymarcher</em> takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the <code>EmissionAbsorptionRaymarcher</code> which implements the standard Emission-Absorption raymarching algorithm.</li>
|
||||
@ -294,10 +295,10 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
|
||||
<span class="c1"># 1) Instantiate the raysamplers.</span>
|
||||
|
||||
<span class="c1"># Here, NDCGridRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># Here, NDCMultinomialRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># grid of rays whose coordinates follow the PyTorch3D</span>
|
||||
<span class="c1"># coordinate conventions.</span>
|
||||
<span class="n">raysampler_grid</span> <span class="o">=</span> <span class="n">NDCGridRaysampler</span><span class="p">(</span>
|
||||
<span class="n">raysampler_grid</span> <span class="o">=</span> <span class="n">NDCMultinomialRaysampler</span><span class="p">(</span>
|
||||
<span class="n">image_height</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">image_width</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">n_pts_per_ray</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span>
|
||||
@ -926,7 +927,7 @@ described in the previous cell.</p>
|
||||
<span class="n">fov</span><span class="o">=</span><span class="n">target_cameras</span><span class="o">.</span><span class="n">fov</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
|
||||
<span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">,</span>
|
||||
<span class="p">)</span>
|
||||
<span class="c1"># Note that we again render with `NDCGridRaySampler`</span>
|
||||
<span class="c1"># Note that we again render with `NDCMultinomialRaysampler`</span>
|
||||
<span class="c1"># and the batched_forward function of neural_radiance_field.</span>
|
||||
<span class="n">frames</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
|
||||
<span class="n">renderer_grid</span><span class="p">(</span>
|
||||
@ -950,8 +951,8 @@ described in the previous cell.</p>
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a <code>MonteCarloRaysampler</code> or <code>NDCGridRaysampler</code>, and an <code>EmissionAbsorptionRaymarcher</code>.</p>
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize an implicit representation of a scene such that the renders of the scene from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's implicit function renderer composed of either a <code>MonteCarloRaysampler</code> or <code>NDCMultinomialRaysampler</code>, and an <code>EmissionAbsorptionRaymarcher</code>.</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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -133,7 +133,8 @@
|
||||
<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 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 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="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
|
||||
@ -884,4 +885,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -133,7 +133,8 @@
|
||||
<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 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 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="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
|
||||
@ -884,4 +885,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -126,7 +126,8 @@
|
||||
<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 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 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="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
|
||||
@ -161,7 +162,7 @@
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.renderer</span> <span class="kn">import</span> <span class="p">(</span>
|
||||
<span class="n">FoVPerspectiveCameras</span><span class="p">,</span>
|
||||
<span class="n">VolumeRenderer</span><span class="p">,</span>
|
||||
<span class="n">NDCGridRaysampler</span><span class="p">,</span>
|
||||
<span class="n">NDCMultinomialRaysampler</span><span class="p">,</span>
|
||||
<span class="n">EmissionAbsorptionRaymarcher</span>
|
||||
<span class="p">)</span>
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.transforms</span> <span class="kn">import</span> <span class="n">so3_exp_map</span>
|
||||
@ -244,7 +245,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<h2 id="2.-Initialize-the-volumetric-renderer">2. Initialize the volumetric renderer<a class="anchor-link" href="#2.-Initialize-the-volumetric-renderer">¶</a></h2><p>The following initializes a volumetric renderer that emits a ray from each pixel of a target image and samples a set of uniformly-spaced points along the ray. At each ray-point, the corresponding density and color value is obtained by querying the corresponding location in the volumetric model of the scene (the model is described & instantiated in a later cell).</p>
|
||||
<p>The renderer is composed of a <em>raymarcher</em> and a <em>raysampler</em>.</p>
|
||||
<ul>
|
||||
<li>The <em>raysampler</em> is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the <code>NDCGridRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).</li>
|
||||
<li>The <em>raysampler</em> is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the <code>NDCMultinomialRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).</li>
|
||||
<li>The <em>raymarcher</em> takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the <code>EmissionAbsorptionRaymarcher</code> which implements the standard Emission-Absorption raymarching algorithm.</li>
|
||||
</ul>
|
||||
</div>
|
||||
@ -267,14 +268,14 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">volume_extent_world</span> <span class="o">=</span> <span class="mf">3.0</span>
|
||||
|
||||
<span class="c1"># 1) Instantiate the raysampler.</span>
|
||||
<span class="c1"># Here, NDCGridRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># Here, NDCMultinomialRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># grid of rays whose coordinates follow the PyTorch3D</span>
|
||||
<span class="c1"># coordinate conventions.</span>
|
||||
<span class="c1"># Since we use a volume of size 128^3, we sample n_pts_per_ray=150,</span>
|
||||
<span class="c1"># which roughly corresponds to a one ray-point per voxel.</span>
|
||||
<span class="c1"># We further set the min_depth=0.1 since there is no surface within</span>
|
||||
<span class="c1"># 0.1 units of any camera plane.</span>
|
||||
<span class="n">raysampler</span> <span class="o">=</span> <span class="n">NDCGridRaysampler</span><span class="p">(</span>
|
||||
<span class="n">raysampler</span> <span class="o">=</span> <span class="n">NDCMultinomialRaysampler</span><span class="p">(</span>
|
||||
<span class="n">image_width</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">image_height</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">n_pts_per_ray</span><span class="o">=</span><span class="mi">150</span><span class="p">,</span>
|
||||
@ -542,8 +543,8 @@ pairs of <code>target_images</code>/<code>rendered_images</code> and <code>targe
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an <code>NDCGridRaysampler</code> and an <code>EmissionAbsorptionRaymarcher</code>.</p>
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an <code>NDCMultinomialRaysampler</code> and an <code>EmissionAbsorptionRaymarcher</code>.</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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -126,7 +126,8 @@
|
||||
<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 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 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="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
|
||||
@ -161,7 +162,7 @@
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.renderer</span> <span class="kn">import</span> <span class="p">(</span>
|
||||
<span class="n">FoVPerspectiveCameras</span><span class="p">,</span>
|
||||
<span class="n">VolumeRenderer</span><span class="p">,</span>
|
||||
<span class="n">NDCGridRaysampler</span><span class="p">,</span>
|
||||
<span class="n">NDCMultinomialRaysampler</span><span class="p">,</span>
|
||||
<span class="n">EmissionAbsorptionRaymarcher</span>
|
||||
<span class="p">)</span>
|
||||
<span class="kn">from</span> <span class="nn">pytorch3d.transforms</span> <span class="kn">import</span> <span class="n">so3_exp_map</span>
|
||||
@ -244,7 +245,7 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<h2 id="2.-Initialize-the-volumetric-renderer">2. Initialize the volumetric renderer<a class="anchor-link" href="#2.-Initialize-the-volumetric-renderer">¶</a></h2><p>The following initializes a volumetric renderer that emits a ray from each pixel of a target image and samples a set of uniformly-spaced points along the ray. At each ray-point, the corresponding density and color value is obtained by querying the corresponding location in the volumetric model of the scene (the model is described & instantiated in a later cell).</p>
|
||||
<p>The renderer is composed of a <em>raymarcher</em> and a <em>raysampler</em>.</p>
|
||||
<ul>
|
||||
<li>The <em>raysampler</em> is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the <code>NDCGridRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).</li>
|
||||
<li>The <em>raysampler</em> is responsible for emitting rays from image pixels and sampling the points along them. Here, we use the <code>NDCMultinomialRaysampler</code> which follows the standard PyTorch3D coordinate grid convention (+X from right to left; +Y from bottom to top; +Z away from the user).</li>
|
||||
<li>The <em>raymarcher</em> takes the densities and colors sampled along each ray and renders each ray into a color and an opacity value of the ray's source pixel. Here we use the <code>EmissionAbsorptionRaymarcher</code> which implements the standard Emission-Absorption raymarching algorithm.</li>
|
||||
</ul>
|
||||
</div>
|
||||
@ -267,14 +268,14 @@ It renders the cow mesh from the <code>fit_textured_mesh.ipynb</code> tutorial f
|
||||
<span class="n">volume_extent_world</span> <span class="o">=</span> <span class="mf">3.0</span>
|
||||
|
||||
<span class="c1"># 1) Instantiate the raysampler.</span>
|
||||
<span class="c1"># Here, NDCGridRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># Here, NDCMultinomialRaysampler generates a rectangular image</span>
|
||||
<span class="c1"># grid of rays whose coordinates follow the PyTorch3D</span>
|
||||
<span class="c1"># coordinate conventions.</span>
|
||||
<span class="c1"># Since we use a volume of size 128^3, we sample n_pts_per_ray=150,</span>
|
||||
<span class="c1"># which roughly corresponds to a one ray-point per voxel.</span>
|
||||
<span class="c1"># We further set the min_depth=0.1 since there is no surface within</span>
|
||||
<span class="c1"># 0.1 units of any camera plane.</span>
|
||||
<span class="n">raysampler</span> <span class="o">=</span> <span class="n">NDCGridRaysampler</span><span class="p">(</span>
|
||||
<span class="n">raysampler</span> <span class="o">=</span> <span class="n">NDCMultinomialRaysampler</span><span class="p">(</span>
|
||||
<span class="n">image_width</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">image_height</span><span class="o">=</span><span class="n">render_size</span><span class="p">,</span>
|
||||
<span class="n">n_pts_per_ray</span><span class="o">=</span><span class="mi">150</span><span class="p">,</span>
|
||||
@ -542,8 +543,8 @@ pairs of <code>target_images</code>/<code>rendered_images</code> and <code>targe
|
||||
</div>
|
||||
<div class="inner_cell">
|
||||
<div class="text_cell_render border-box-sizing rendered_html">
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an <code>NDCGridRaysampler</code> and an <code>EmissionAbsorptionRaymarcher</code>.</p>
|
||||
<h2 id="6.-Conclusion">6. Conclusion<a class="anchor-link" href="#6.-Conclusion">¶</a></h2><p>In this tutorial, we have shown how to optimize a 3D volumetric representation of a scene such that the renders of the volume from known viewpoints match the observed images for each viewpoint. The rendering was carried out using the PyTorch3D's volumetric renderer composed of an <code>NDCMultinomialRaysampler</code> and an <code>EmissionAbsorptionRaymarcher</code>.</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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -132,7 +132,8 @@
|
||||
<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 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 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="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
|
||||
@ -555,4 +556,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -132,7 +132,8 @@
|
||||
<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 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 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="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
|
||||
@ -555,4 +556,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -135,7 +135,8 @@ 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 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 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="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
|
||||
@ -504,4 +505,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -135,7 +135,8 @@ 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 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 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="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
|
||||
@ -504,4 +505,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -134,7 +134,8 @@
|
||||
<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 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 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="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
|
||||
@ -765,4 +766,4 @@ 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 © 2021 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 © 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>
|
||||
@ -75,7 +75,7 @@
|
||||
<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="c1"># Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.</span>
|
||||
<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@ -134,7 +134,8 @@
|
||||
<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 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 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="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
|
||||
@ -765,4 +766,4 @@ 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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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>
|
||||
@ -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 © 2021 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 © 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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