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# Star reduction in deep sky images
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Starrem2k13 is a simple and easy tool to remove stars from astronomical images. Starrem2k13 uses a GAN trained on augmented data. Code was inspired from a [sample at Tensorflow's website](https://www.tensorflow.org/tutorials/generative/pix2pix). The training data consists of only two images. One image of the Helix nebula and another is a starmap that was created from a star cluster image. Here is how the results look like:
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Starrem2k13 is a simple tool for removing stars from astronomical images. Starrem2k13 uses a GAN trained on augmented data. It's code was inspired from a [sample at Tensorflow's website](https://www.tensorflow.org/tutorials/generative/pix2pix). The training data consists of only three base images.
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Below are examples of what it can do:
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# Installing
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Currently binaries for Windows, Linux and MacOS are available in the releases section. These were created using PyInstaller. Using pre-complied binaries is the recommended way of running Starrem2k13. Once you have downloaded and installed the program you can run it simply by typing the following in command prompt/terminal
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Currently binaries for Windows, Linux and MacOS are available in the releases section. These were created using PyInstaller. Using pre-complied binary is the recommended way of running Starrem2k13. Once you have downloaded and installed the program you can run it simply by typing the following in command prompt/terminal
docker run -v $PWD:/usr/src/app/starrem2k13/data \
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Note that *$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/starrem2k13/data* inside the docker container. The output image *example_starless.jpg* will also be written to same directory.
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## Running with local python installation
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## Running with local python installation (for geeks)
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Clone the repository and navigate to the 'starrem2k13' folder. Install required packages :
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