Published inGeek Culture·Oct 13, 2021Track a High Speed Moving Object with TrackNetIt is amazing how technology these days can fluctuate the flow of the game. Goal-line technology, VAR, and Hawk-Eye are all examples of how modern technology is being used in professional sports. The ultimate goal of these technologies is to prevent human error and promote unbiased calls from the referees. …Computer Vision6 min readComputer Vision6 min read
Published inGeek Culture·Oct 6, 2021Swing Like a Champ with Computer Vision | Backhand TrackerAfter watching the Tokyo 2020 Olympic Games, US Open, and ATP tour, I got obsessed with tennis. I did not realize how intense a tennis match can be. The moment of triumph after a triple deuce can’t be any much better. Even though I was watching the games on my…Computer Vision6 min readComputer Vision6 min read
Published inCodeX·Sep 3, 2021Watershed Segmentation — detect individual objects when heavily clusteredLet’s imagine that you are at the top of the Beaver Stadium, which is home to one of the prestigious college football programs in the nation — Penn State. …Computer Vision7 min readComputer Vision7 min read
Published inGeek Culture·Jun 10, 2021Predicting Wildfire Profiles With Deep LearningThis excerpt is based on the paper we turned in at the 35th AAAI Student Abstract and Poster Program [7]. In recent years, wildfire has become an unavoidable natural disaster that continues to threaten fire-prone communities. Due to the ongoing climate change, global warming, and fuel drying, the frequency of…Deep Learning9 min readDeep Learning9 min read
Published inGeek Culture·May 12, 2021NFL Play Prediction Using Computer VisionNational Football League (NFL) is the biggest sport industry in the United States. Due to its highly competitive nature, the NFL attracts a massive audience around the globe. …Computer Vision8 min readComputer Vision8 min read
Apr 26, 2021Python: Multiprocessing to Boost Up Preprocessing SpeedIn today’s world, data is ubiquitous. The quantity of data increases exponentially, but the size of the data keeps on growing. Often, processing such big data becomes a bottleneck when running a deep learning model. …Multiprocessing4 min readMultiprocessing4 min read
