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        "description": "![](documentation/logo.png)\n# \u00b5DIC: A Python toolkit for Digital Image Correlation (DIC)\n[![CircleCI](https://circleci.com/gh/PolymerGuy/muDIC.svg?style=svg)](https://circleci.com/gh/PolymerGuy/muDIC) [![codecov](https://codecov.io/gh/PolymerGuy/muDIC/branch/master/graph/badge.svg)](https://codecov.io/gh/PolymerGuy/muDIC) [![Documentation Status](https://readthedocs.org/projects/mudic/badge/?version=latest)](https://mudic.readthedocs.io/en/latest/?badge=latest)[![PyPI version](https://badge.fury.io/py/muDIC.svg)](https://badge.fury.io/py/muDIC)\n\n\n## Overview\nThis project aims at providing a \u201cbatteries included\u201d toolkit for digital image correlation in Python. \nThe functionality you need to perform digital image correlation on experimental data as well as for doing virtual experiments are included.\n\n![alt text](documentation/examples/figures/GIF.gif)![alt text](documentation/examples/figures/GIF_mesh.gif)\n\nTypical usage is demonstrated in the examples located in the /Examples folder.\n\n\nThis toolkit includes the following:\n* Image reader tools\n* Virtual lab\n    * Speckle image generators\n    * Image deformation tools\n    * Noise injection\n    * Image down-sampling\n* B-spline finite elements\n    * Arbitrary polynomial order\n    * Knot vectors can be manipulated\n* Meshing tools:\n    * A light weight GUI for structured meshing\n* Image correlation routines:\n    * Non linear least squares solver\n* Post processor\n    * Calculates most popular strain measures\n    * Light weight visualization\n* Logging\n\n\n\n\n## Getting Started\n\nThese instructions will get you a copy of the project up and running on your local machine for development and testing purposes.\n### Prerequisites\nThis toolkit is tested on Python 2.7x an 3.7 and need all dependencies listen in requirements.txt\n\n### Installing\n\n#### Installing by a package manager:\nMake sure you have Python 3 installed with pip and virtualenv\n\nMake new folder and use a terminal to make a virtual environment:\n```\n$ python -m virtualenv env\n$ source env/bin/activate #On Linux and Mac OS\n$ env\\Scripts\\activate.bat #On Windows\n```\nWe can now install \u00b5DIC inside this environment using pip\n```\n$ pip install muDIC\n```\nNow, lets run all the tests included by using nosetests\n```\n$ nosetests muDIC\n```\n\n\n#### Installing by cloning the repos:\nStart to clone this repo to your preferred location:\n```\n$ cd /path/to/project/\n$ git init\n$ git clone https://github.com/PolymerGuy/muDIC.git\n```\n\nWe recommend that you always use virtual environments, either by virtualenv or by Conda env\n\nVirtual env:\n```\n$ python -m virtualenv env\n$ source ./env/bin/activate #On Linux and Mac OS\n$ env\\Scripts\\activate.bat #On Windows\n$ pip install -r requirements.txt\n```\n\nYou can now run the tests by:\n```\n$ nosetests muDIC\n```\n\n## Running the tests\n\nThe tests should always be launched to check your installation.\n\nIf you installed by a package manager:\n```\n$ nosetests muDIC #Note capital cases\n```\n\nIf you cloned the repo:\n```\n$ cd /path/to/project/\n$ nosetests\n```\n\n## Documentation\nDocumentation is hosted by: [https://mudic.readthedocs.io/en/latest/]\n\n\n## Our motivation\nThe motivation for this work was the need for a transparent code which could be modified and extended easily, without digging deep into C or C++ source code. The implementation is pure python with the exception of third-party packages such as Scipy, Numy etc.\n\n\n## Contributing\nClone the repository, add your changes, add new tests and you are ready for a pull request\n\n## Authors\n* **Sindre Olufsen** - *Implementation* - [PolymerGuy](https://github.com/polymerguy)\n* **Marius Endre Andersen** - *Wrote the Matlab code which was the starting point for this project*\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details\n\n## Citing this project\nThis project is described in the following paper and citation is highly appreciated\n\n\n\n\n\n\n\n\n\n\n\n",
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