Pinned Repositories
Bloom-Filter
Bloom Filter in Python using Murmurhash3
ethocam
Design files for ethocam project.
Face-detection-in-unity-with-opencv-and-websockets
Face detection in unity using opencv and .net sockets to send frames. Also includes the python server file which is to be run. Video demo here - https://www.youtube.com/watch?v=QBSPOozqapI
phoneaswiiremote
Use your phone as a wii remote to play pc games.Accelerometer values from a windows phone are sent to a server build using nodejs and websockets .The server then sends the data to a java class which uses websockets in java and java.Robot class to perform approriate actions like keyPress
quadcopterarduino
Arduino code for a quadcopter which uses an mpu 6050 imu to read accelerometer , gyro and magnetometer readings and run it through a PID control system in order to make changes to the quadcopters rotor speeds.A kalman.h file is also included so that the user can use his own accelerometer plus gyro instead of using the mpu6050
Real-time-video-content-based-ad-generator
Generates ads in real time based on the content of the video. The audio form a video is downloaded, split into smaller parts, and then each part is send to GoogleSpeechToText API to get the corresponding text for that part. The text is then sent to Alchemy API to get the semantic content , i.e. keywords and entities. The word 'ad' is then added to these keywords and a search is made on ask.com . The resulting images are scraped and placed in the webpage beside the video (Youtube API). Thus the ads on the side of the video change in real time as the content of the video changes. If the person is talking about cars, an ad about cars shows up and when he talks about bikes, an ad about bikes shows up. To download the audio only, and split the audio, we use ffmpeg and youtube-dl .We run the shell commands from php itself.
saliency_metrics
suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
swachh_bharat
Volumetric estimation of garbage
Text-compression-using-Huffman-coding
This java project uses data structures like Binary Search Trees, Linked Lists, Priority Queues etc. and implements Huffman coding algorithm , to achieve a maximum compression rate of 46%. Code efficiency for big text files has been kept in mind and by the use of classes such as StringBuffer etc. , a file of size 50mb can be compressed in a mere 180 seconds.
tarunsharma1's Repositories
tarunsharma1/saliency_metrics
tarunsharma1/Bloom-Filter
Bloom Filter in Python using Murmurhash3
tarunsharma1/Face-detection-in-unity-with-opencv-and-websockets
Face detection in unity using opencv and .net sockets to send frames. Also includes the python server file which is to be run. Video demo here - https://www.youtube.com/watch?v=QBSPOozqapI
tarunsharma1/swachh_bharat
Volumetric estimation of garbage
tarunsharma1/convergent-learning-between-deep-networks-on-different-tasks
This is an implementation of this paper http://arxiv.org/pdf/1511.07543v3.pdf
tarunsharma1/rockafly
tarunsharma1/suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
tarunsharma1/antcam
Repository containing code to detect, track and count ant species Liometopum occidentale in the wild (at ant nests).
tarunsharma1/ethocam
Design files for ethocam project.
tarunsharma1/caffe
Caffe: a fast open framework for deep learning.
tarunsharma1/caffe_examples
tarunsharma1/caltech-ee148-spring2020-hw01
Starter Code for Homework #1.
tarunsharma1/caltech-ee148-spring2020-hw02
Starter code for Homework #2.
tarunsharma1/caltech-ee148-spring2020-hw03
Starter code for Homework #3.
tarunsharma1/ct_classifier
Example repository for the CV4Ecology 2022 Summer School (lecture 4)
tarunsharma1/github.io
tarunsharma1/Handwritting-Recognition-using-Neural-Networks
Handwritting recognition using 3 layer neural network
tarunsharma1/ka-lite
KA Lite: lightweight web server for serving core Khan Academy content (videos and exercises) without needing internet connectivity
tarunsharma1/Olsen_classifier
tarunsharma1/OpenCV-projects
A collection of OpenCV projects done by me
tarunsharma1/reinventing-the-process-of-buying-and-selling-land
Made at Housing Hackathon. Used Google Maps API, Google Places API, Android, HTML, Javascript, PHP and CSS
tarunsharma1/SimCLR
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
tarunsharma1/simclr-pytorch
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
tarunsharma1/skycams_flytracker
tracking flies using sky-facing cameras
tarunsharma1/swachh_bharat_image_analysis
Spatio temporal analysis of garbage distribution using Deep Learning methods
tarunsharma1/tarunsharma1.github.io
tarunsharma1/tarunsharma1.github.io-intermediate
tarunsharma1/tarunsharma1.github.io-temp
tarunsharma1/tarunsharma1.github.io.old
tarunsharma1/tensorflow-utils