22<p align =" center " ><i >A hardware-accelerated Python module to simulate light transport in arbitrarily complex 3D media with ease.</i ></p >
33<img src =" https://raw.githubusercontent.com/DCC-Lab/PyTissueOptics/main/assets/banner.png " />
44
5- [ ![ Tests] ( https://github.com/DCC-Lab/pytissueoptics/actions/workflows/tests.yaml/badge.svg )] ( https://github.com/DCC-Lab/pytissueoptics/actions/workflows/tests.yaml ) [ ![ codecov] ( https://codecov.io/gh/DCC-Lab/pytissueoptics/branch/main/graph/badge.svg )] ( https://codecov.io/gh/DCC-Lab/pytissueoptics ) [ ![ CodeFactor] ( https://www.codefactor.io/repository/github/DCC-Lab/pytissueoptics/badge )] ( https://www.codefactor.io/repository/github/DCC-Lab/pytissueoptics ) [ ![ License] ( https://img.shields.io/github/license/DCC-Lab/pytissueoptics.svg )] ( LICENSE )
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611
712This python package is a fast and flexible implementation of Monte Carlo modeling for light transport in diffuse media.
813The package is ** easy to set up and use** , and its mesh-based approach makes it a polyvalent tool to simulate
@@ -23,16 +28,9 @@ Designed with **research and education** in mind, the code aims to be clear, mod
2328- ** Reusable graphics framework** to kickstart other raytracing projects like [ SensorSim] ( https://github.com/JLBegin/SensorSim ) .
2429
2530## Installation
26- Requires Python 3.9+ installed.
27-
28- > Currently, the ` pip ` version is outdated. We recommend installing the development version.
29- 1 . Clone the repository.
30- 2 . Create a virtual environment inside the repository with ` python -m venv venv ` .
31- 3 . Activate the virtual environment.
32- - On MacOS/Linux: ` source venv/bin/activate ` .
33- - On Windows: ` venv\Scripts\activate.bat ` .
34- 4 . Upgrade ` pip ` with ` pip install --upgrade pip ` .
35- 5 . Install the package requirements with ` python -m pip install -e .[dev] ` .
31+ ```
32+ pip install pytissueoptics
33+ ```
3634
3735## Getting started
3836
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