Web-based Shape & MNIST Recognition Deep Learning Application.

A graphical shape based esolang

An application to recognise hand drawn shapes using OpenCV 3.4.4

Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.

The $1 Unistroke Recognizer, a 2D single-stroke recognizer ported to Flutter/Dart

Draw magical symbols to cast spells

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.

A parallel algorithm for shape recognition implemented in C++ and OpenMP

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.

depth frame analysis with kinect camera and python

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.

Simple shapes recognition app.

p5js ML-powered sandbox.

A neural network model based on TensorFlow that predicts shape of brick

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.

Extracting the coordinates of shapes ndoes from a learning dataset of images. Project for course Machine Learning at University of Muenster.