DL4MicEverywhere / pix2pix-zerocostdl4mic / 1.17.3

pix2pix-zerocostdl4mic implementation.

Paired image-to-image translation of 2D images. pix2pix is a deep-learning method that can be used to translate one type of images into another. While pix2pix can potentially be used for any type of image-to-image translation, we demonstrate that it can be used to predict a fluorescent image from another fluorescent image. Note - visit the ZeroCostDL4Mic wiki to check the original publications this network is based on and make sure you cite these.
Tags
AMD64colabnotebookdenoisingZeroCostDL4Mic
Citation
https://doi.org/10.1038/s41467-021-22518-0von Chamier, L., Laine, R.F., Jukkala, J. et al. Democratising deep learning for microscopy with ZeroCostDL4Mic. Nat Commun 12, 2276 (2021). https://doi.org/10.1038/s41467-021-22518-0
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, Alexei A. Efros. Image-to-Image Translation with Conditional Adversarial Networks. arXiv:1611.07004.https://arxiv.org/abs/1611.07004
Solution written by
DL4MicEverywhere team
album team

Arguments

--path
What is your working path? (default value: .)

Usage instructions

Please follow this link for details on how to install and run this solution.