code2k13/starreduction repository overview

⁠starreduction

A GAN model trained to remove stars from astronomical images. Code was inspired from a sample at Tensorflow's website⁠. The training data consists of only two images. One image of the Antenna Galaxy and another is a starmap that was created from a star cluster image. Here is how the results look like:

⁠Project homepage

https://github.com/code2k13/starreduction⁠

⁠Running using Docker (Recommended)

docker run   -v $PWD:/usr/src/app/starreduction/data   -it code2k13/starreduction  /bin/bash -c "./removestars.py ./data/example.jpg  ./data/example_starless.jpg"

Note that $PWD refers to your current working directory. In the above example it is assumed that the file example.jpg resides in your current working directory. This directory is mounted as a volume with the path /usr/src/app/starreduction/data inside the docker container. The output image example_starless.jpg will also be written to same directory.