nishagandhi Goto Github PK

autopilot

A self driving car model for humans.

binary-segmentation

An interactive semi-automatic binary segmentation model. 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

drowsydriverdetection

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

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

golomb-ruler

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

grt

gesture recognition toolkit

histogram-filters-blending

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

machinelearning

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.

nishagandhi.github.io

openpose_pythonopencv

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

panoramas-and-image-alignment

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

qanet

A Tensorflow implementation of QANet for machine reading comprehension

resume_nishagandhi

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.