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Image Reconstruction Python Packages

Python packages with the GitHub topic image-reconstruction. Sorted by relevance, with stars and monthly downloads.
deepinv
deepinv

DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning

7K 735 169
qurit
pytomography

This repository enables easy and fast medical image reconstruction in Python.

6K 164 36
mckib2
phantominator

Generate numerical phantoms.

4K 44 2
EndlessSora
focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

3K 708 62
cabouman
mbirjax

MBIRJAX is a Python package for Model Based Iterative Reconstruction (MBIR) of images from tomographic data.

2K 21 10
mstorath
mumfordshah2d

Algorithms for edge preserving smoothing based on the Mumford-Shah model

1K 0 4
OhGreat
dart-ohgreat

DART (Discrete Algebric Reconstruction Technique) iterative reconstruction algorithm for discrete tomography.

603 4 2
villekf
omegatomo

Open-source multi-dimensional tomographic reconstruction software (OMEGA)

472 102 21
NiftyPET
nipet

CUDA-accelerated Python utilities for high-throughput PET/MR image reconstruction and analysis

407 35 10
pyxu-org
pyxu

Modular and scalable computational imaging in Python with support for GPU/out-of-core computing.

309 141 16
marrlab
shapr-torch

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

208 41 7
SIP-AAU
magni

A package for AFM image reconstruction and compressed sensing in general

167 43 10
ZohebAbai
tf-focal-frequency-loss

Tensorflow Implementation of Focal Frequency Loss for Image Reconstruction and Synthesis [ICCV 2021]

149 9 1
TomographicImaging
ccpi-regularisation-cupy

GPU-CuPy accelerated regularisation routines of CCPi-regularisation toolkit

122 62 26
matthieumeo
pycsou

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

117 141 16
kbredies
gratopy

Gratopy - Graz accelerated tomographic projections for Python

91 8 3
CCPPETMR
sirf

CCP PET-MR SIRF

43 69 32
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