DeepGlobe-Road-Extraction-Challenge

Code for the 1st place solution in DeepGlobe Road Extraction Challenge.

Requirements

Cuda 8.0
Python 2.7
Pytorch 0.2.0
cv2

Usage

Data

Place 'train', 'valid' and 'test' data folders in the 'dataset' folder.

Data is from DeepGlobe Road Extraction Challenge. You should sign in first to get the data.

Train

Run python train.py to train the default D-LinkNet34.

Predict

Run python test.py to predict on the default D-LinkNet34.

Name		Name	Last commit message	Last commit date
dataset		dataset
docs		docs
logs		logs
networks		networks
submits		submits
weights		weights
LICENSE		LICENSE
README.md		README.md
data.py		data.py
framework.py		framework.py
loss.py		loss.py
test.py		test.py
train.py		train.py

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DeepGlobe-Road-Extraction-Challenge

Requirements

Usage

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Train

Predict

Download trained D-LinkNet34

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DeepGlobe-Road-Extraction-Challenge

Requirements

Usage

Data

Train

Predict

Download trained D-LinkNet34

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