pysot
A PyTorch-based research platform implementing state-of-the-art single object tracking algorithms like SiamRPN and SiamMask.
What is pysot?
PySOT is a software system designed for single object tracking research, implementing state-of-the-art algorithms like SiamRPN and SiamMask. It provides a high-performance codebase written in Python and powered by PyTorch, enabling researchers to develop and evaluate visual tracking models efficiently. The project solves the need for a flexible, standardized platform to benchmark and advance real-time object tracking in video sequences.
Computer vision researchers and engineers focused on visual object tracking, particularly those developing or evaluating deep learning-based tracking algorithms. It's also valuable for students and practitioners needing a reliable baseline system for tracking experiments.
Developers choose PySOT because it offers a curated collection of cutting-edge tracking algorithms with consistent implementations, integrated evaluation tools, and pre-trained models. Its research-oriented design prioritizes flexibility and performance, making it easier to reproduce results and innovate compared to building tracking systems from scratch.
Overview
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
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