nishagandhi/Golomb-Ruler

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Created over 6 years ago
Updated over 6 years ago

nishagandhi/Golomb-Ruler

nishagandhi

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This project implements Constraint Satisfaction Problem (CSPs). Plain Backtracking, Backtracking + Forward Checking are used to solve CSPs.

DrowsyDriverDetection

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

OpenPose_PythonOpenCV

A simple code demonstrating real-time Pose Estimation in webcam using OpenPose Python and OpenCV

Face-Detection-and-Tracking

Computer Vision model to detect face in the first frame of a video and to continue tracking it in the rest of the video. This is implemented in OpenCV 3.3.0 and Python 2.7

detect_those_corners

Detecting important corners in images and real-time video using Harris Corner Detector. and Shi-tomasi corner Detector

Binary-Segmentation

An interactive semi-automatic binary segmentation model. Implemented in OpenCV 3.3.0 and Python 2.7

Panoramas-and-Image-Alignment

Computer Vision Project, stitching different perspective images into a single smooth panorama using Laplacian Blending.

Histogram-Filters-Blending

This project implements histogram equalization, low-pass and high-pass filter, and laplacian blending of images.

MachineLearning

The-Searching-Pacman

In this project, the Pac-Man agent finds paths through its maze world, both to reach a particular location and to collect food efficiently. Search algorithms such as Depth First Search, Bread First Search, Uniform Cost Search and A-star search are applied to Pac-Man scenarios.

MultiAgent-Pacman

In this project, agents are designed for the classic version of Pacman, including ghosts. Mini-max, Alpha-Beta pruning, Expectimax techniques were used to implement multi-agent pacman adversarial search.