pytracking
A PyTorch-based framework for visual object tracking and video object segmentation, featuring implementations of state-of-the-art trackers like TaMOs, RTS, and DiMP.
What is pytracking?
PyTracking is an open-source Python framework for visual object tracking and video object segmentation, built on PyTorch. It provides implementations of several state-of-the-art trackers, a training framework (LTR), and libraries for evaluation and analysis, addressing the need for a unified toolkit in video analysis research.
Computer vision researchers and developers working on visual tracking, video object segmentation, or related video analysis tasks who need a flexible, PyTorch-based framework for developing and evaluating new algorithms.
Developers choose PyTracking for its comprehensive set of official tracker implementations, integrated training and evaluation pipeline, and strong focus on reproducibility, which accelerates research and experimentation in visual tracking.
Overview
Visual tracking library based on PyTorch.
Use Cases
Best For
- Implementing and evaluating state-of-the-art visual object trackers
- Training custom tracking models using the LTR framework
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