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Updates for version 0.7.1

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Jeremy Francis Reizenstein
2022-10-23 09:41:42 -07:00
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@@ -107,7 +107,7 @@ The intersection shape is formed by the convex hull from the intersection points
<h2><a class="anchor" aria-hidden="true" id="usage-and-code"></a><a href="#usage-and-code" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Usage and Code</h2>
<pre><code class="hljs css language-python"><span class="hljs-keyword">from</span> pytorch3d.ops <span class="hljs-keyword">import</span> box3d_overlap
<span class="hljs-comment"># Assume inputs: boxes1 (M, 8, 3) and boxes2 (N, 8, 3)</span>
intersection_vol, iou_3d = box3d_overal(boxes1, boxes2)
intersection_vol, iou_3d = box3d_overlap(boxes1, boxes2)
</code></pre>
<p>For more details, read <a href="https://github.com/facebookresearch/pytorch3d/blob/main/pytorch3d/ops/iou_box3d.py">iou_box3d.py</a>.</p>
<p>Note that our implementation is not differentiable as of now. We plan to add gradient support soon.</p>
@@ -122,4 +122,4 @@ intersection_vol, iou_3d = box3d_overal(boxes1, boxes2)
year = {<span class="hljs-number">2020</span>},
}
</code></pre>
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