/nasa2017

NASA Space Apps Challenge 2017

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

nasa2017

roofs classifying

Install docker and nvidia-docker

Clone the repository:

git clone https://github.com/azati/nasa2017

Build docker image:

cd nasa2017/backend/docker_image
docker build -t theano_gpu .

Unpack roofs images:

cd ../roofs_classifying/data
unrar x -r all_buildings.part1.rar

Download pre-trained weights for ResNet-50:

cd ..
wget https://s3.amazonaws.com/lasagne/recipes/pretrained/imagenet/resnet50.pkl

Run jupyter:

./run_jupyter.sh

Navigate http://localhost:8888 and open file all_buildings_prediction-resnet.ipynb

Run all the cells in the notebook to perform roofs classification.

ios app

Install CocoaPods

Run pod install from Terminal, then open your app's .xcworkspace file to launch Xcode.

Team

https://azati.com