<div dir="ltr">Essentially, what's described here:<br><br><a href="http://www.cs.cornell.edu/~asaxena/learningdepth/">http://www.cs.cornell.edu/~asaxena/learningdepth/</a><br></div><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Aug 31, 2016 at 9:29 PM, Chris Spencer <span dir="ltr"><<a href="mailto:chrisspen@gmail.com" target="_blank">chrisspen@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Given a JPG image of a scene, convert that into a depth map, where each pixel is associated with a discrete distance estimate.<br></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On Wed, Aug 31, 2016 at 7:12 PM, Stefan van der Walt <span dir="ltr"><<a href="mailto:stefanv@berkeley.edu" target="_blank">stefanv@berkeley.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Chris<br>
<span><br>
On Sun, Aug 28, 2016, at 17:31, Chris Spencer wrote:<br>
> Is there any algorithm in scikit-image that I could use to train a predictor that could estimate the distance at each pixel in an image?<br>
<br>
> I've gone through all the examples, and none of them seemed to directly apply. The image segmentation example seemed to be the closest, but that didn't use supervised learning, so I wasn't sure how I could adapt it's code.<br>
<br>
</span>Could you explain what you mean by "estimate the distance"?<br>
<br>
Stéfan<br>
<span><br>
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