nvqui97/ml_research

Computer Vision Study and Research Notebooks

This is a self reference repository for all my trial solutions for computer vision problems.

Most of the notebooks in this repository are not complete or left abandoned due to the lack of any further success in what I was trying to get to.

Some working ones

Algorithms

Process of Harris Corner Detection Algorithm.ipynb

Harris corner detector

Principal Component Analysis from scratch for 2 dimensional dataset

Principal Component Analysis from scratch for 3 dimensional dataset

Applications

Algorithm for detecting and extracting number plates from images of cars.ipynb

Find subimage through template matching

Various ways of converting an image to grayscale.ipynb

color quantization using kmeans

haars face detection

median cut color quantization.ipynb

keras mnsit 99% accuracy

skew_detection_based_on_horizontal_projections.ipynb

Basic CV operations

Blur an image using kernal

Sobel Feldman Filter.ipynb

Prewitt filter.

Draw bounding box around contours

vertical and horizontal projection of image

Mathematics

Law of Cosines to find angle between three points

Gaussian filter 1, 2 and 3 dimensional data

Finding a cluster of collinear points

Some Experiments

Plotting an image on a 3D Graph

Sobel filter a simple image array

create a random image using numpy 2.ipynb

Trying to build a non neural network digit recognizer - Abandoned

emnsit alphabet recognition.ipynb

[filter regional maxima sudoku page] (https://github.com/muthuspark/ml_research/blob/master/filter%20regional%20maxima%20example.ipynb)

sudoku extraction from newspaper image

Misc

pdf to image

read keras model