Amey Narwadkar's Projects
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Collection of my Computer Vision Projects
Writing and Implementing all famous ML algorithms from scratch with python and numpy, without using any special libraries.
This project, MLTrader Strategy, automates trading decisions using sentiment analysis of news articles, aiming to capitalize on market sentiment. It is integrated with Alpaca brokerage for execution and Yahoo finance for backtesting.
This computer vision project analyzes tennis match videos using cutting-edge techniques. It employs YOLOv8 for player detection, finetuned YOLO for ball tracking, and ResNet50 for extracting court keypoints. Additionally, it calculates player and ball speeds and generates a mini court reflecting player positions.