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Home Page: https://arxiv.org/abs/1810.10098
Galaxy image deblending using convolutional neural networks with an adversarial regularizing loss
Home Page: https://arxiv.org/abs/1810.10098
Hi,
Thank you for sharing your code.
I am trying to run it, but am running into a problem. So, I am wondering if you could kindly give me some help.
It seems that the np_to_tfrecords() defined in utils.py (line 88) only takes one numpy array. But it is given three in main() in preprocessing.py (line 128). Do you intend to concatenate them into one numpy array here? Or have I missed something?
Best wishes,
How are the PSNR and SSIM indicators calculated for the deblend galaxy image? Is the image RGB channel or y channel of YCBCR used for calculation? Could the code file be shared? Thanks~
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