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Code and model for coherent X-ray ptychography data

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Table of Contents

Introduction

This repository is the official implementation of PtySD3Net: Single-Shot Dynamic Phase Retrieval using 3D Temporal Convolution-Based Deep Diffraction Imaging Networks.

Please cite us as

@article{Vu2024,

}

PtySD3Net framework

Installation

Firstly, create a conda environment to install the package, for example:

conda create -n test python==3.9
source activate test

Optional GPU dependencies

For hardwares that have CUDA support, the tensorflow version with gpu options should be installed. Please follow the installation from https://www.tensorflow.org/install for more details.

Tensorflow can also be installed from conda for simplification settings:

conda install -c conda-forge tensorflow-gpu

Method 1 (directly install from git)

You can install the lastes development version of PtySD3Net from this repo and install using:

git clone https://github.com/sinhvt3421/PtySD3net
cd PtySD3net
python -m pip install -e .

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