Essentially, what's described here:

http://www.cs.cornell.edu/~asaxena/learningdepth/

On Wed, Aug 31, 2016 at 9:29 PM, Chris Spencer <chriss...@gmail.com> wrote:

> Given a JPG image of a scene, convert that into a depth map, where each
> pixel is associated with a discrete distance estimate.
>
> On Wed, Aug 31, 2016 at 7:12 PM, Stefan van der Walt <stef...@berkeley.edu
> > wrote:
>
>> Hi Chris
>>
>> On Sun, Aug 28, 2016, at 17:31, Chris Spencer wrote:
>> > 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?
>>
>> > 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.
>>
>> Could you explain what you mean by "estimate the distance"?
>>
>> Stéfan
>>
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