* Added variables to restrict search size for matching pattern.
* Rotated images back to normal that were rotated for some reason
* Created an ImageData class to hold displacements and strains in each image.
Used OpenCV to find matching template and draw arrows of displacement.
Made a plot using each template matching method.
SQDIFF and SQDIFF_NORMED appear to be best.
* Add new class SpecimenDimensions to hold dimensional information.
* Add stress variable to FrameData class.
* rename calc_stress function to read_file
* Add data filepath as input to read_file function
* read_file function now calculates stress from cross-sectional area
of specimen and load from each frame.
* read_file function now returns dictionary (indexed by frame number)
of FrameData objects that have load, displacement, and stress data.
Also returns SpecimenDimensions object that holds width, thickness,
gauge length, and overall length.
Created main.py with a function to read in the provided text file.
Gets specimen dimensions, frame number, load, and displacement data into
dictionary of FrameData classes.
