This project forked from kidzik/deepglobe
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
.png your images in input/python2 main.py [model_name]
where [model_name] is one of: building-non-residential, building, cars, fields, roads, trees, or unpaved_roads
3. Find results in output/[model_name]
I use zoom 17 and the following code:
wget 'http://maps.googleapis.com/maps/api/staticmap?center=Marszalkowska%206a,%2005-840%20Warszawa&zoom=17&maptype=satellite&size=1000x1000&key=[GOOGLE_MAPS_API_KEY]' -O input/1.png
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