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Lydorn / Polygonization-by-Frame-Field-Learning

This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
BSD 3-Clause "New" or "Revised" License
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If I want to train from scratch ,what kind of data should be prepared? #19

Open liuchangf opened 3 years ago

liuchangf commented 3 years ago

Hello There:

Great Job! A novel idea in Polygonal Building Extraction as I know . In traditional segmentation , training data include two kinds of data ,one is image ( usually is RGB image) ,another is one channel label( the same size with the image ,but only one channel ,every pixel store a number for a certain class). In your case (this repo) ,I'm confusing what kind of data should be prepared , there is no doubt that image will be one of them,but how about others ,there is no details in your paper. 1 In readme, I find the dir structe , I think images is for images just like segmentation, but how about gt? Is this gt is same as label in the segmentation? what is ge polygonized? I found there is all .geojson files in the folder ,what are they for ? I found .npy files in aligned_gt_polygons_2 and gt_polygons , what are these files for ? Waiting for your kindly reply , than you in advance!

aymanaboghonim commented 3 years ago

did you solve this problem ?

franz-waldner commented 2 years ago

Also interested in an answer :)