notebooks

Some of the IPython notebooks I've worked on over the years

Rectangle_Subdivision_and_Intersection_Over_Union.ipynb

Solving two problems related to computer vision: one is how to subdivide projected rectangle equally (e.g. given the four edges of a row of parking spots, and the number of spots, how to determine where the lines between them are on a picture taken at an angle). The other is calculating the area of the intersection between two polygons.

ZR2_zavrsni_rad.ipynb

Solving a BVP (boundary value problem) via the shooting method in order to estimate water transport in dessicated (extremely dry) soil

hoglib.ipynb

An implementation of the Histogram of Oriented Gradients method of feature extraction for a computer vision project. Here is an article with more info: https://learnopencv.com/histogram-of-oriented-gradients/; and here is the original paper outlining the method: https://ieeexplore.ieee.org/abstract/document/1467360

linreg_v0.3.ipynb

A quick study comparing the efficacy of two different methods for solving 2-dimensional linear regression (these being gradient descent and SVD)

pap_smears_exploratory_analysis.ipynb

An exploratory analysis of a dataset of pap smears, used to eventually develop a visual k-means classifier which tells potentially cancerous cells from healthy ones

pap_smears_k_means_final.ipynb

The aforementioned classifier that was eventually developed.