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Jeremy Francis Reizenstein
2022-03-04 03:53:49 -08:00
parent e2a79f0f46
commit af1c31a02b
74 changed files with 222 additions and 182 deletions
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7
tutorials/bundle_adjustment.html
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@@ -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>

7
tutorials/bundle_adjustment/index.html
View File

@@ -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>

7
tutorials/camera_position_optimization_with_differentiable_rendering.html
View File

@@ -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>

7
tutorials/camera_position_optimization_with_differentiable_rendering/index.html
View File

@@ -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>

7
tutorials/dataloaders_ShapeNetCore_R2N2.html
View File

@@ -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>

7
tutorials/dataloaders_ShapeNetCore_R2N2/index.html
View File

@@ -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>

7
tutorials/deform_source_mesh_to_target_mesh.html
View File

@@ -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>
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</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>

7
tutorials/deform_source_mesh_to_target_mesh/index.html
View File

@@ -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>

19
tutorials/fit_simple_neural_radiance_field.html
View File

@@ -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>

19
tutorials/fit_simple_neural_radiance_field/index.html
View File

@@ -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>
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7
tutorials/fit_textured_mesh.html
View File

@@ -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>

7
tutorials/fit_textured_mesh/index.html
View File

@@ -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>

17
tutorials/fit_textured_volume.html
View File

@@ -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 &amp; 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>

17
tutorials/fit_textured_volume/index.html
View File

@@ -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 &amp; 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>
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2
tutorials/index.html
View File

@@ -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>&quot;Run in Google Colab&quot;</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>&quot;Run in Google Colab&quot;</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>

7
tutorials/render_colored_points.html
View File

@@ -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>
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7
tutorials/render_colored_points/index.html
View File

@@ -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>

7
tutorials/render_densepose.html
View File

@@ -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
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</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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7
tutorials/render_densepose/index.html
View File

@@ -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>

7
tutorials/render_textured_meshes.html
View File

@@ -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>
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7
tutorials/render_textured_meshes/index.html
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@@ -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
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