GEO_tutorial

This repository contains documentation and code for the GEO lecture .

1. derece başlık

2. derece başlık

3. derece başlık

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• Bu normal fontlu bir cümle.

• Bu italic fontlu bir cümle.

• Bu da italic fontlu bir cümle.

• Bu kalın fontlu bir cümle

• Bu da neden kalın fontlu bir cümle olmasın?

    def forward(self, x):
        """Sequentially pass `x` trough model`s encoder, decoder and heads"""
        features = self.encoder(x) # Extract features 

        decoder_output = self.decoder(*features) # Decoder output for segmentation task
        pred = self.segmentation_head(decoder_output) # Feed the decoder output to the segmentation head

        reconstruct_decoder_output = self.skipless_decoder(*features) # Decoder output for reconstruction task
        reconst_mask = self.reconstruct_segmentation_head(reconstruct_decoder_output) # Feed the decoder output to the reconstruction head

        return pred,reconst_mask

If you find our work beneficial, consider citing our paper!

Dataset used in this work is from SpaceNet6 challange. See the arXiv paper here: "SpaceNet 6: Multi-Sensor All Weather Mapping Dataset"

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              precision    recall  f1-score   support

    building       0.90      0.86      0.88  38508672
not_building       0.99      0.99      0.99 547096448

    accuracy                           0.98 585605120
   macro avg       0.95      0.93      0.94 585605120
weighted avg       0.98      0.98      0.98 585605120