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A Python-based project for detecting, classifying, and regularizing shapes from CSV files containing XY coordinates. Features include contour smoothing, shape classification, and a Flask-based web interface for visualization.
This neural network is designed to be able to take an 20px-by-20px gray-scale image and detect whether the input image contains either a rectangle or a circle.
A Bangladeshi Road Sign Detection & Recognition System Based on Template matching & Convolutional Neural Network - A Prototype built from my Thesis paper.