ManishSahu53 / Vector-Map-Generation-from-Aerial-Imagery-using-Deep-Learning-GeoSpatial-UNET

We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in densely compacted areas using medium resolution satellite/UAV orthoimages. We adopted standard UNET architecture, additionally added batch normalization layer after every convolution, to label every pixel in the image.
Apache License 2.0
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updated testing module #2

Closed ManishSahu53 closed 4 years ago

ManishSahu53 commented 4 years ago

Here I have updated testing module Cleaned and clear codes integrated data generator for prediction