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fnet-pytorch

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

imad-app-v2

Base repository for IMAD V2 course application. PLEASE DO NOT submit PRs, or push to this git repository!

modified-unet-architecture

Here, we have improved the accuracy of U-Net architecture using rectified-adam optimizer and reducing the number of filters drastically by 4 times.

monitoring-and-identification-of-region-growing-microalgae-biomass-quantification-using-digital-imag

This is a project for quantifying the amount of algae present in water using the concepts of Digital Image Processing using Matlab. This was done as a part of Internal Funding Project in SSN College of Engineering under guidance of Dr. Vinoth Kumar C.

shala2020

This repository contains series of assignments given by SHALA2020 conducted by IITB

smart_seat_belt_system-ssb-

This is a project done with an aim to reduce accidents in India due to drunken driving and not using the seat belt

temporalconvolutionalnetworks

vision-based-congestion-controlled-system-using-opencv

Traffic is a major area of concern in recent times. With the increase in the number of vehicles being used, the problem of controlling traffic is getting tedious day-by-day. Time and fuel are wasted because of traffic congestions. According to an article published in the Times of India, congestion in major cities like Delhi, Mumbai, Kolkata, and Bangalore costs the economy Rs.1.47 lakh crore annually. Intelligent Transport System is a new application which is aiming at better ways of managing transport and traffic. Google Maps is one such system which provides information about the status of traffic at a place. But one of the disadvantages with google maps is that it does not give a clear idea of the number of vehicles present at that place. This project aims to overcome the disadvantages that are present in the existing systems. The main advantage of this system is that real-time images can be captured and uploaded to the cloud which proves to be very useful in providing information about traffic updates. #Dataset used is from MIO-TCD classification dataset