FiberFit is a portable Python application for Mac and Windows. It uses computer vision to analyze ligament patterns in 2-D 8-bit images. A results summary table (.csv) and image summary documents (.pdf) may be exported by the user.

• Processes multiple images
• Exports result of the analysis in PDF (utilizes open-source Python library) and csv
• Live progress bar, which updates user about status of the image analysis (utilizes threading)

You will need Python 3, pyqt5, pyPDF2, scipy, numpy, matplotlib, pandas and Ordered Set installed. Please checkout their respective sites to get instructions on how to install those libraries (e.g. via pip).

• [Python 3] (https://www.python.org/download/releases/3.4.0/)
• [PyQt5] (http://pyqt.sourceforge.net/Docs/PyQt5/installation.html)
• [PyPDF2] (https://pypi.python.org/pypi/PyPDF2/1.26.0)
• [scipy] (https://www.scipy.org/)
• [numpy] (http://www.numpy.org/)
• [matplotlib] (http://matplotlib.org/)
• [pandas] (http://pandas.pydata.org/)
• [Ordered Set] (http://orderedset.readthedocs.io/en/latest/installation.html)
• [Qt Creater {optional}] (https://www.qt.io/download/)

Note If you're a Windows user, the easiest way to get all of the dependencies is to install Anaconda by Continuum Analytics. You will still have to install pyPDF2, though. You can do it by first installing pip (conda install pip) and then using pip as usual.

After you've installed all of the items above, you can start the application by: python src/fiberfit_control/fiberfit.py Note, the above command assumes you are inside of FiberFit/ folder.

Please check out a video demostration of FiberFit in action HERE

cx_Freeze is a recommended tool for deploying FiberFit as a single cross-platform executable application. Please check out cx_Freeze[here] (http://cx-freeze.sourceforge.net/). Note that, working setup.py is included in the root directory.

Primary developer - Aza Tulepbergenov (https://github.com/atulep)

Please contact NTM Labs for any questions.