Computational Imaging Python Packages

deepinv

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

collageradiomics

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

ptyrad

PtyRAD: Ptychographic Reconstruction with Automatic Differentiation

deeplens-core

Differentiable optical lens simulator for end-to-end computational imaging.

scico

Scientific Computational Imaging COde

pysera

PySERA – Open-Source Standardized Python Library for Automated, Scalable, and Reproducible Handcrafted and Deep Radiomics

tike

Repository for ptychography software

dflat-opt

DFlat is a forward and inverse design framework for flat optics. Although specially geared for the design of metasurface optics, it may be used for any end-to-end imaging and sensing task.

pyxu

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

odak

Scientific computing library for optics, computer graphics and visual perception.

xdesign

Tools for designing x-ray phantoms and experiments.

pyradiomics-fix

Radiomics features library for python

pyradiomics-cuda

CUDA-accelerated fork of PyRadiomics - a Radiomics features library for python

collageradiomicstypes

CoLliage Implementation

collageradiomics-types

CoLliage Implementation

topology-radiomics

Topology Radiomics by INVENT and BRIC lab

pado-optics

Pado: Pytorch Automatic Differentiable Optics

pycsou

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

phaserem

Weapon of choice for electron ptychographic reconstructions

pyradiomics-bhklab

Radiomics features library for python

collageradiomics-core

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.

collageradiomicscli

Python Implementation of the CoLlAGe radiomics descriptor. CoLlAGe captures subtle anisotropic differences in disease pathologies by measuring entropy of co-occurrences of voxel-level gradient orientations on imaging computed within a local neighborhood.