Update copyright statement on pages footers

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Patrick Labatut
2021-11-24 13:57:23 -08:00
parent 416cd21881
commit 75345de07d
54 changed files with 56 additions and 56 deletions

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@@ -422,4 +422,4 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
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@@ -422,4 +422,4 @@ where $d(g_i, g_j)$ is a suitable metric that compares the extrinsics of cameras
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@@ -508,4 +508,4 @@
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@@ -508,4 +508,4 @@
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@@ -655,4 +655,4 @@ dataset. The R2N2 dataset also contains its own 24 renderings of each object and
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@@ -655,4 +655,4 @@ dataset. The R2N2 dataset also contains its own 24 renderings of each object and
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@@ -495,4 +495,4 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
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@@ -495,4 +495,4 @@ the predicted mesh is closer to the target mesh at each optimization step. To ac
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@@ -953,4 +953,4 @@ described in the previous cell.</p>
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@@ -953,4 +953,4 @@ described in the previous cell.</p>
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@@ -883,4 +883,4 @@ If running locally, the data is already available at the correct path.</p>
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@@ -883,4 +883,4 @@ If running locally, the data is already available at the correct path.</p>
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@@ -545,4 +545,4 @@ pairs of <code>target_images</code>/<code>rendered_images</code> and <code>targe
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@@ -545,4 +545,4 @@ pairs of <code>target_images</code>/<code>rendered_images</code> and <code>targe
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};
}
});
</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 Facebook Inc<br/>Legal:<a href="https://opensource.facebook.com/legal/privacy/" target="_blank" rel="noreferrer noopener">Privacy</a><a href="https://opensource.facebook.com/legal/terms/" target="_blank" rel="noreferrer noopener">Terms</a></section></footer></div></body></html>
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@@ -554,4 +554,4 @@ Sphere-based Representations</a>.</p>
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@@ -554,4 +554,4 @@ Sphere-based Representations</a>.</p>
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@@ -503,4 +503,4 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
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@@ -503,4 +503,4 @@ In this tutorial, we provide an example of using DensePose data in PyTorch3D.</p
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@@ -764,4 +764,4 @@ The renderer and associated components can take batched inputs and <strong>rende
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@@ -764,4 +764,4 @@ The renderer and associated components can take batched inputs and <strong>rende
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