On Wed, Jun 16, 2021 at 2:04 PM Barry <ba...@barrys-emacs.org> wrote:
> >>> On Thu, Jun 17, 2021 at 6:06 AM Arak Rachael <arakelt...@gmail.com> > wrote: > >>> > >>> Hi guys, > >>> > >>> I have an image from google maps to say and I need to check if it has > road markings, in order to do that, I believe I need to change the effects > on the image so the markings and road can be white or something and the > things I don't need like cars, trees and so on to be black. > >>> > >>> images should contain only road surface and/or road markings (lines, > zebras, stripes. > >>> > >>> Can anyone help me on this, I already have the crop code, I just need > to check if the cropped part contains what I need. > >> How well can you define the things you're looking for? > >> > >> https://xkcd.com/1425/ > >> > >> ChrisA > > Hi Chris, > > > > what do you mean? > > He means that image processing is a hard problem that requires expertise > to solve. > > > > > Here is the image, I need to separate the road and markings from the > rest and divide the image into squares of 100x100 pixels, for each square I > need to check if it contains a road and markings: > > Can you define road in terms of an algorithm that looks at the pixels? > I think that XKCD may be a little out of date. You could probably train a Deep Learning model to do this, if you have enough prelabeled data with enough variation. And of course dividing a picture up into 100x100 squares is pretty easy if you convert to ppm. Perhaps Pillow can do this too. HTH. -- https://mail.python.org/mailman/listinfo/python-list
