HonglinChu/SiamTrackers
A PyTorch implementation of multiple Siamese network-based visual object tracking algorithms and lightweight trackers.
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This repository collects various visual object tracking algorithms based on deep learning, including SiamFC, SiamRPN, SiamMask, and the lightweight NanoTrack variants. It provides PyTorch implementations with model checkpoints and benchmark results on standard tracking datasets like VOT and GOT-10k. The NanoTrack models are optimized for real-time performance, achieving over 200 FPS on mobile devices.
Frequently asked
- What is HonglinChu/SiamTrackers?
- A PyTorch implementation of multiple Siamese network-based visual object tracking algorithms and lightweight trackers.
- Is SiamTrackers open source?
- Yes — HonglinChu/SiamTrackers is open source, released under the Apache-2.0 license.
- What language is SiamTrackers written in?
- HonglinChu/SiamTrackers is primarily written in Python.
- How popular is SiamTrackers?
- HonglinChu/SiamTrackers has 1.6k stars on GitHub.
- Where can I find SiamTrackers?
- HonglinChu/SiamTrackers is on GitHub at https://github.com/HonglinChu/SiamTrackers.