Re: Distance Estimation
Thanks, that's what I was looking for. On Thu, Sep 1, 2016 at 3:29 AM, Emmanuelle Gouillart < emmanuelle.gouill...@nsup.org> wrote: > Hi Chris, > > the short version is no, there is no function in scikit-image that can do > what the Stanford paper does. However, you can find some useful building > blocks in scikit-image and scikit-learn, that you can put together to > build your own version of the algorithm (from what I figured out after > a quick reading of > http://www.cs.cornell.edu/~asaxena/reconstruction3d/ > saxena_iccv_3drr07_learning3d.pdf) > > - Felzenswalb superpixels are available in skimage.segmentation > (http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_ > segmentations.html) > - Local features can be computed using several functions of scikit-image, > such as color transforms (color.ycbcr) and edge filters > (filters.sobel_h, filters.sobel_v, ...) > - A logistic regression algorithm is available in scikit-learn > (http://scikit-learn.org/stable/modules/generated/sklearn.linear_model. > LogisticRegression.html) > > The trickiest part to code would be the MAP inference on the MRF, where I > guess you would have to code it yourself (I think). > > So, it is feasible to assemble these different blocks, but it's not a > small project either. > > As for other libraries, I'm afraid nothing comes to my mind. OpenCV does > have a depth estimation function, but only from stereo images. > > Hope this helps, > Emma > > > On Wed, Aug 31, 2016 at 09:30:20PM -0400, Chris Spencer wrote: > > Essentially, what's described here: > > > http://www.cs.cornell.edu/~asaxena/learningdepth/ > > > On Wed, Aug 31, 2016 at 9:29 PM, Chris Spencer > 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 > > -- > You received this message because you are subscribed to a topic in the > Google Groups "scikit-image" group. > To unsubscribe from this topic, visit https://groups.google.com/d/ > topic/scikit-image/qvGm0zOv2rc/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > scikit-image+unsubscr...@googlegroups.com. > To post to this group, send an email to scikit-image@googlegroups.com. > To view this discussion on the web, visit https://groups.google.com/d/ > msgid/scikit-image/20160901072903.GA2668326%40phare.normalesup.org. > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/CANe40g%2BCFmmPeABvjszxAKfgYjsxhs_Vd8eUQBKe1asesOhR8w%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
Re: Distance Estimation
Hi Chris, the short version is no, there is no function in scikit-image that can do what the Stanford paper does. However, you can find some useful building blocks in scikit-image and scikit-learn, that you can put together to build your own version of the algorithm (from what I figured out after a quick reading of http://www.cs.cornell.edu/~asaxena/reconstruction3d/saxena_iccv_3drr07_learning3d.pdf) - Felzenswalb superpixels are available in skimage.segmentation (http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_segmentations.html) - Local features can be computed using several functions of scikit-image, such as color transforms (color.ycbcr) and edge filters (filters.sobel_h, filters.sobel_v, ...) - A logistic regression algorithm is available in scikit-learn (http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) The trickiest part to code would be the MAP inference on the MRF, where I guess you would have to code it yourself (I think). So, it is feasible to assemble these different blocks, but it's not a small project either. As for other libraries, I'm afraid nothing comes to my mind. OpenCV does have a depth estimation function, but only from stereo images. Hope this helps, Emma On Wed, Aug 31, 2016 at 09:30:20PM -0400, Chris Spencer wrote: > Essentially, what's described here: > http://www.cs.cornell.edu/~asaxena/learningdepth/ > On Wed, Aug 31, 2016 at 9:29 PM, Chris Spencer 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 > > 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 -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/20160901072903.GA2668326%40phare.normalesup.org. For more options, visit https://groups.google.com/d/optout.
Re: Distance Estimation
Essentially, what's described here: http://www.cs.cornell.edu/~asaxena/learningdepth/ On Wed, Aug 31, 2016 at 9:29 PM, Chris Spencer 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 > 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 >> >> -- >> You received this message because you are subscribed to a topic in the >> Google Groups "scikit-image" group. >> To unsubscribe from this topic, visit https://groups.google.com/d/to >> pic/scikit-image/qvGm0zOv2rc/unsubscribe. >> To unsubscribe from this group and all its topics, send an email to >> scikit-image+unsubscr...@googlegroups.com. >> To post to this group, send an email to scikit-image@googlegroups.com. >> To view this discussion on the web, visit https://groups.google.com/d/ms >> gid/scikit-image/1472685144.113590.712117217.1B48040B%40webm >> ail.messagingengine.com. >> For more options, visit https://groups.google.com/d/optout. >> > > -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/CANe40gJXUheMvW9U35eWtrJgU1Jjqnzjd%2BzfShf0_BKYBbXe%2Bw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
Re: Distance Estimation
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 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 > > -- > You received this message because you are subscribed to a topic in the > Google Groups "scikit-image" group. > To unsubscribe from this topic, visit https://groups.google.com/d/ > topic/scikit-image/qvGm0zOv2rc/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > scikit-image+unsubscr...@googlegroups.com. > To post to this group, send an email to scikit-image@googlegroups.com. > To view this discussion on the web, visit https://groups.google.com/d/ > msgid/scikit-image/1472685144.113590.712117217.1B48040B% > 40webmail.messagingengine.com. > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/CANe40gKh8pyAqR-RvCADgooh0PkGCx5BOTHbiMg%3DofUdtHrLag%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
Re: Distance Estimation
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 -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/1472685144.113590.712117217.1B48040B%40webmail.messagingengine.com. For more options, visit https://groups.google.com/d/optout.
Distance Estimation
Hi, Can scikit-image be used for supervised learning? I have training data, where each sample is composed of a raw RGB image, a black-and-white image mask showing the laser projection onto the image, and the laser range finder distance measurements in millimetres. 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. Can this goal be accomplished with sckit-image? If not, is there another library and algorithm you could recommend? Regards, Chris -- You received this message because you are subscribed to the Google Groups "scikit-image" group. To unsubscribe from this group and stop receiving emails from it, send an email to scikit-image+unsubscr...@googlegroups.com. To post to this group, send an email to scikit-image@googlegroups.com. To view this discussion on the web, visit https://groups.google.com/d/msgid/scikit-image/ae5a4626-ce3f-4e9c-8598-14d35aaba2b9%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
