What is it?
Automatically converts maps to satellite images with the generative AI.
How to use?
Using pip Prerequisites - cuda 10.1 and python 3.6
- Install all requirements with command
pip install -r requirements.txt.
- Put one or more images of maps in 'Input' folder. (Initially sample images are provided for testing purpose).
python src/run.py -- input Input --output Output
Using docker Prerequisites - Docker > 19.03
- Build docker image and run docker container -
docker build -t Map2Sat -f Dockerfile . && docker run -it Map2Sat
python src/run.py -- input Input --output Output.
Voila ! Maps have been converted to Satellite images and have been stored in 'Output' directory.
CPU - 0.96 s GPU - 0.036 s
- python 3.5
- ubuntu 16.04
- cuda 10.1
Author View Profile
AI wizard who thinks with first principles
I am Deep Learning (Computer Vision) Engineer with specialization in enabling AI on the resource-constrained edge devices. I work on quantizations, pruning and efficient designing and deployment of DL networks. Read my article about Winograd - https://blog.usejournal.com/understanding-winograd-fast-convolution-a75458744ff
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