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Created about 5 years ago
Updated about 5 years ago

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Detecting the medial axis of a moving object is done by extracting the frames from the video, a background subtraction, filtering, edge detection, line detection, contour detection. Each of the file below corrrespond to these operations.

Medical-Image-Segmentation-

UNet is a state-of-the-art CNN based architecture typically used in segmentation tasks. I have used this for semantic segmentation of Anterior and Posterior Views of Human Spine. The catch here is that the architecture is trained on just 30-90 masks and can be as large as 30 million parameters and yet achieves an IoU >70.

Python

Image-Stitching

Panoramic Stitching

Python

Unity3d-SpaceShooter

IITD--COL731-Operating-System

C++

recipe-app-api

IITD-COL730

Parallel Programming Assignments

C++

Real-Time-SSD

Python

GroceryRouter

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VectorSpaceRetrieval

Raft-Distributed-Consensus

Implementation of a fault tolerant distributed consensus algorithm called Raft using Go.

Ciphers

Hardware implementation of light weight cryptographic ciphers PRESENT and ESF on logisim.

Assembly-Language-Programming

Assembly

HTML-to-Latex-Converter

HTML to Latex converter can be directly used to make pdfs from input html files. It does so by doing lexical analysis of html followed by parsing and building of an Abstract Syntax Tree. The tree is maped to an euivalent AST of latex whose preorder traversal gives you the "texmaker" compilable code.

piyushkansalongit/Vision-Moving-Object-Axis-Detector

piyushkansalongit

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