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deploy: cc800d7
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liruilong940607 committed Sep 7, 2024
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4 changes: 2 additions & 2 deletions main/_modules/gsplat/rendering.html
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Expand Up @@ -1129,7 +1129,7 @@ <h1>Source code for gsplat.rendering</h1><div class="highlight"><pre>
<span class="c1"># &quot;&quot;&quot;Wrapper for old version gsplat.</span>

<span class="c1"># .. warning::</span>
<span class="c1"># This function exists for comparision purpose only. So we skip collecting</span>
<span class="c1"># This function exists for comparison purpose only. So we skip collecting</span>
<span class="c1"># the intermidiate variables, and only return an empty dict.</span>

<span class="c1"># &quot;&quot;&quot;</span>
Expand Down Expand Up @@ -1221,7 +1221,7 @@ <h1>Source code for gsplat.rendering</h1><div class="highlight"><pre>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Wrapper for Inria&#39;s rasterization backend.</span>

<span class="sd"> .. warning::</span>
<span class="sd"> This function exists for comparision purpose only. Only rendered image is</span>
<span class="sd"> This function exists for comparison purpose only. Only rendered image is</span>
<span class="sd"> returned.</span>

<span class="sd"> .. warning::</span>
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2 changes: 1 addition & 1 deletion main/_sources/examples/colmap.rst.txt
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Expand Up @@ -9,7 +9,7 @@ model for novel view synthesis, on a COLMAP processed capture. This script follo
exact same logic with the `official implementation
<https://github.com/graphdeco-inria/gaussian-splatting>`_ and we have verified it to be
able to reproduce the metrics in the paper, with much better training speed and memory
footprint. See :doc:`../tests/eval` for more details on the comparision.
footprint. See :doc:`../tests/eval` for more details on the comparison.

Simply run the script under `examples/`:

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2 changes: 1 addition & 1 deletion main/apis/utils.html
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Expand Up @@ -680,7 +680,7 @@ <h1>Utils<a class="headerlink" href="#utils" title="Link to this heading">¶</a>
<dd><p>Wrapper for Inria’s rasterization backend.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>This function exists for comparision purpose only. Only rendered image is
<p>This function exists for comparison purpose only. Only rendered image is
returned.</p>
</div>
<div class="admonition warning">
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2 changes: 1 addition & 1 deletion main/examples/colmap.html
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Expand Up @@ -323,7 +323,7 @@ <h1>Fit a COLMAP Capture<a class="headerlink" href="#fit-a-colmap-capture" title
model for novel view synthesis, on a COLMAP processed capture. This script follows the
exact same logic with the <a class="reference external" href="https://github.com/graphdeco-inria/gaussian-splatting">official implementation</a> and we have verified it to be
able to reproduce the metrics in the paper, with much better training speed and memory
footprint. See <a class="reference internal" href="../tests/eval.html"><span class="doc">Evaluation</span></a> for more details on the comparision.</p>
footprint. See <a class="reference internal" href="../tests/eval.html"><span class="doc">Evaluation</span></a> for more details on the comparison.</p>
<p>Simply run the script under <cite>examples/</cite>:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nv">CUDA_VISIBLE_DEVICES</span><span class="o">=</span><span class="m">0</span><span class="w"> </span>python<span class="w"> </span>simple_trainer.py<span class="w"> </span>default<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--data_dir<span class="w"> </span>data/360_v2/garden/<span class="w"> </span>--data_factor<span class="w"> </span><span class="m">4</span><span class="w"> </span><span class="se">\</span>
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2 changes: 1 addition & 1 deletion main/searchindex.js

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