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This is a graduation project in which I try to implement computer vision for UAV. This uses as primary factor color recognition and as secondary factor shape recognition. This is implemented using OpenCV library (Python 3.10)
This is a port of inkandswitch/interactive-shape-recognition, an implementation of "A Simple Approach to Recognise Geometric Shapes Interactively" by Joaquim A. Jorge and Manuel J. Fonseca.
This repository is a collection of fundamental digital image processing operations and algorithms performed on greyscale images, or Portable Grey Map (PGM) files, using different data structures in C++, as part of an assignment and final project module for the Data Structures (CS2001) course.
Currently in research phrase. This project uses OpenCV, tesseract-ocr and other techniques to indentify different types of valves on P&ID (Piping and Instrumentation Diagrams), extract valves's KKS symbols and diameters.
A MATLAB program that uses k-means clustering to find and classify user types as an extension of a shape recognition research study. Originally developed at Occidental College from October-December 2019.
I designed an angular app to identify 8 different shapes using 700 training set of shaps data set which are drawn on html5 canvas and a model trained in keras with tensorflow and python ,to predict in angular app used tensoflowjs.